sha
stringlengths
40
40
text
stringlengths
1
13.4M
id
stringlengths
2
117
tags
listlengths
1
7.91k
created_at
stringlengths
25
25
metadata
stringlengths
2
875k
last_modified
stringlengths
25
25
arxiv
listlengths
0
25
languages
listlengths
0
7.91k
tags_str
stringlengths
17
159k
text_str
stringlengths
1
447k
text_lists
listlengths
0
352
processed_texts
listlengths
1
353
tokens_length
listlengths
1
353
input_texts
listlengths
1
40
ee54779f1b43fec9f045cdbf5c234da997cb03e8
# Dataset Card for "dataset_20231007_025212" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_025212
[ "region:us" ]
2023-10-07T01:52:12+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73961, "dataset_size": 770400.0}}
2023-10-07T01:52:14+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_025212" More Information needed
[ "# Dataset Card for \"dataset_20231007_025212\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_025212\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_025212\"\n\nMore Information needed" ]
1642be3d9fd659287ea163d16c82cbcad43b2bc9
# Dataset Card for "dataset_20231007_025331" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_025331
[ "region:us" ]
2023-10-07T01:53:31+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73708, "dataset_size": 770400.0}}
2023-10-07T01:53:32+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_025331" More Information needed
[ "# Dataset Card for \"dataset_20231007_025331\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_025331\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_025331\"\n\nMore Information needed" ]
2c2cdea94240bdaa7fef17c6ace9fa71e135ad14
# Dataset Card for "dataset_20231007_025421" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_025421
[ "region:us" ]
2023-10-07T01:54:21+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73904, "dataset_size": 770400.0}}
2023-10-07T01:54:22+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_025421" More Information needed
[ "# Dataset Card for \"dataset_20231007_025421\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_025421\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_025421\"\n\nMore Information needed" ]
00a3252ced04e60abebb741fa7e63aca9207c6cd
# Dataset Card for "dataset_20231007_025600" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_025600
[ "region:us" ]
2023-10-07T01:56:00+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 74033, "dataset_size": 770400.0}}
2023-10-07T01:56:02+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_025600" More Information needed
[ "# Dataset Card for \"dataset_20231007_025600\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_025600\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_025600\"\n\nMore Information needed" ]
4398c6fe08178e1c36e7ace0bef19ac7a7e6784c
# Dataset Card for "dataset_20231007_025659" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_025659
[ "region:us" ]
2023-10-07T01:56:59+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73961, "dataset_size": 770400.0}}
2023-10-07T01:57:00+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_025659" More Information needed
[ "# Dataset Card for \"dataset_20231007_025659\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_025659\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_025659\"\n\nMore Information needed" ]
09ffadb3f3c17dd7fb2bf6244338d6f0122b0ad1
# Dataset Card for "dataset_20231007_025908" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_025908
[ "region:us" ]
2023-10-07T01:59:08+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 74279, "dataset_size": 770400.0}}
2023-10-07T01:59:09+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_025908" More Information needed
[ "# Dataset Card for \"dataset_20231007_025908\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_025908\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_025908\"\n\nMore Information needed" ]
e895d63a7815bbe74725a963b3dcf022eeb22b69
# Dataset Card for "dataset_20231007_030433" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_030433
[ "region:us" ]
2023-10-07T02:04:33+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73993, "dataset_size": 770400.0}}
2023-10-07T02:04:35+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_030433" More Information needed
[ "# Dataset Card for \"dataset_20231007_030433\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_030433\"\n\nMore Information needed" ]
[ 6, 19 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_030433\"\n\nMore Information needed" ]
055d22ae862068e7ee3a00492103de899df6003a
# Dataset Card for "dataset_20231007_030710" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_030710
[ "region:us" ]
2023-10-07T02:07:10+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73696, "dataset_size": 770400.0}}
2023-10-07T02:07:12+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_030710" More Information needed
[ "# Dataset Card for \"dataset_20231007_030710\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_030710\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_030710\"\n\nMore Information needed" ]
ed368631cfe5a4a52fd5872bd1698277893403e7
# Dataset Card for "dataset_20231007_030826" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_030826
[ "region:us" ]
2023-10-07T02:08:26+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73672, "dataset_size": 770400.0}}
2023-10-07T02:08:27+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_030826" More Information needed
[ "# Dataset Card for \"dataset_20231007_030826\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_030826\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_030826\"\n\nMore Information needed" ]
e785614f6043356144e36cb904ecd93fd6170ddc
# Dataset Card for "dataset_20231007_031407" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_031407
[ "region:us" ]
2023-10-07T02:14:07+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 74702, "dataset_size": 770400.0}}
2023-10-07T02:14:08+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_031407" More Information needed
[ "# Dataset Card for \"dataset_20231007_031407\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_031407\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_031407\"\n\nMore Information needed" ]
6e0d964dbf70b2a86f052c9da3d565ed8dd2efbb
# Dataset Card for "dataset_20231007_031447" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_031447
[ "region:us" ]
2023-10-07T02:14:47+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73952, "dataset_size": 770400.0}}
2023-10-07T02:14:48+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_031447" More Information needed
[ "# Dataset Card for \"dataset_20231007_031447\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_031447\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_031447\"\n\nMore Information needed" ]
877431c3724d92b0edb85ea07e132c6a78386a8e
# Dataset Card for "proofpile-test-tokenized-mistral" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
emozilla/proofpile-test-tokenized-mistral
[ "region:us" ]
2023-10-07T02:17:40+00:00
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "meta", "dtype": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "tokenized_len", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 1647980074, "num_examples": 46251}], "download_size": 554081392, "dataset_size": 1647980074}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T02:18:31+00:00
[]
[]
TAGS #region-us
# Dataset Card for "proofpile-test-tokenized-mistral" More Information needed
[ "# Dataset Card for \"proofpile-test-tokenized-mistral\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"proofpile-test-tokenized-mistral\"\n\nMore Information needed" ]
[ 6, 22 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"proofpile-test-tokenized-mistral\"\n\nMore Information needed" ]
1732c7db17df81b330cbb788ed4cdaeae2fc2ece
# Dataset Card for "dataset_20231007_032211" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_032211
[ "region:us" ]
2023-10-07T02:22:11+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73870, "dataset_size": 770400.0}}
2023-10-07T02:22:12+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_032211" More Information needed
[ "# Dataset Card for \"dataset_20231007_032211\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_032211\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_032211\"\n\nMore Information needed" ]
7d533554ba2feaf1f612ae75cbe31b60a7425692
# Dataset Card for "test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Wongeze/test
[ "region:us" ]
2023-10-07T02:22:25+00:00
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 338808, "num_examples": 200}], "download_size": 201257, "dataset_size": 338808}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-24T10:33:03+00:00
[]
[]
TAGS #region-us
# Dataset Card for "test" More Information needed
[ "# Dataset Card for \"test\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"test\"\n\nMore Information needed" ]
[ 6, 11 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"test\"\n\nMore Information needed" ]
addb893ac4d563e90326e48f5d23cd32224369b4
Type specimens dataset. Contains type specimens of 65 typefaces and corresponding captions. Ex. ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6475548022b4dec4524bd3f3/rhBjGn8V2ASUvCKcpsVVk.jpeg) The letter M written with Monotype Old Style typeface. Hellenic, anno 1980, Sans Serif, OT, Cyrillic, OpenType, Greek, European language support, W1G, Readable, Business, Office, Greek-OpenType, Newsletters, Text, 1980s, Newspaper, Squared, magazines, 80s, Glyphic, Pro, EU-Fonts, Cyrillic -OpenType, OpenType Pro
mozci/typedb
[ "license:afl-3.0", "region:us" ]
2023-10-07T02:31:13+00:00
{"license": "afl-3.0", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 93126573.782, "num_examples": 6001}], "download_size": 36065061, "dataset_size": 93126573.782}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T03:27:41+00:00
[]
[]
TAGS #license-afl-3.0 #region-us
Type specimens dataset. Contains type specimens of 65 typefaces and corresponding captions. Ex. !image/jpeg The letter M written with Monotype Old Style typeface. Hellenic, anno 1980, Sans Serif, OT, Cyrillic, OpenType, Greek, European language support, W1G, Readable, Business, Office, Greek-OpenType, Newsletters, Text, 1980s, Newspaper, Squared, magazines, 80s, Glyphic, Pro, EU-Fonts, Cyrillic -OpenType, OpenType Pro
[]
[ "TAGS\n#license-afl-3.0 #region-us \n" ]
[ 14 ]
[ "passage: TAGS\n#license-afl-3.0 #region-us \n" ]
097698f4d1f1d85565b2e4c47a0cb03f4389c4ce
# Dataset Card for "dataset_20231007_033121" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_033121
[ "region:us" ]
2023-10-07T02:31:21+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 74119, "dataset_size": 770400.0}}
2023-10-07T02:31:22+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_033121" More Information needed
[ "# Dataset Card for \"dataset_20231007_033121\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_033121\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_033121\"\n\nMore Information needed" ]
5936db38865d8768ea4fc54dba109474f946085c
# Dataset Card for "dataset_20231007_033301" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_033301
[ "region:us" ]
2023-10-07T02:33:01+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 74254, "dataset_size": 770400.0}}
2023-10-07T02:33:02+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_033301" More Information needed
[ "# Dataset Card for \"dataset_20231007_033301\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_033301\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_033301\"\n\nMore Information needed" ]
633908ff67d7493cccee9234578e6cd1a171e4a4
# Dataset Card for "dataset_20231007_033400" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_033400
[ "region:us" ]
2023-10-07T02:34:00+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 74449, "dataset_size": 770400.0}}
2023-10-07T02:34:01+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_033400" More Information needed
[ "# Dataset Card for \"dataset_20231007_033400\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_033400\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_033400\"\n\nMore Information needed" ]
020276bf3f39f325d34a37e33084fb9ef5c54606
# Dataset Card for "dataset_20231007_033716" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_033716
[ "region:us" ]
2023-10-07T02:37:16+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73888, "dataset_size": 770400.0}}
2023-10-07T02:37:17+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_033716" More Information needed
[ "# Dataset Card for \"dataset_20231007_033716\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_033716\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_033716\"\n\nMore Information needed" ]
555cff1bc42e07fb5d42a649824d78b47a0d06c4
# Dataset Card for "dataset_20231007_033835" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_033835
[ "region:us" ]
2023-10-07T02:38:35+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73844, "dataset_size": 770400.0}}
2023-10-07T02:38:36+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_033835" More Information needed
[ "# Dataset Card for \"dataset_20231007_033835\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_033835\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_033835\"\n\nMore Information needed" ]
f18e0cda8f022019834d0ae4b4714be549248090
# Dataset Card for "dataset_20231007_034029" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_034029
[ "region:us" ]
2023-10-07T02:40:29+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73744, "dataset_size": 770400.0}}
2023-10-07T02:40:30+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_034029" More Information needed
[ "# Dataset Card for \"dataset_20231007_034029\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_034029\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_034029\"\n\nMore Information needed" ]
6463e377a22278e28295c02d69b39f8f1b010f55
# Dataset Card for "dataset_20231007_034138" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_034138
[ "region:us" ]
2023-10-07T02:41:38+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73823, "dataset_size": 770400.0}}
2023-10-07T02:41:39+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_034138" More Information needed
[ "# Dataset Card for \"dataset_20231007_034138\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_034138\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_034138\"\n\nMore Information needed" ]
c0d5d1693e0264e31f55c590df9ab576978005f4
# Bangumi Image Base of Hunter X Hunter This is the image base of bangumi Hunter x Hunter, we detected 130 characters, 12906 images in total. The full dataset is [here](all.zip). **Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: | # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 | |:------|---------:|:----------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------| | 0 | 3471 | [Download](0/dataset.zip) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 541 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 306 | [Download](2/dataset.zip) | ![preview 1](2/preview_1.png) | ![preview 2](2/preview_2.png) | ![preview 3](2/preview_3.png) | ![preview 4](2/preview_4.png) | ![preview 5](2/preview_5.png) | ![preview 6](2/preview_6.png) | ![preview 7](2/preview_7.png) | ![preview 8](2/preview_8.png) | | 3 | 363 | [Download](3/dataset.zip) | ![preview 1](3/preview_1.png) | ![preview 2](3/preview_2.png) | ![preview 3](3/preview_3.png) | ![preview 4](3/preview_4.png) | ![preview 5](3/preview_5.png) | ![preview 6](3/preview_6.png) | ![preview 7](3/preview_7.png) | ![preview 8](3/preview_8.png) | | 4 | 123 | [Download](4/dataset.zip) | ![preview 1](4/preview_1.png) | ![preview 2](4/preview_2.png) | ![preview 3](4/preview_3.png) | ![preview 4](4/preview_4.png) | ![preview 5](4/preview_5.png) | ![preview 6](4/preview_6.png) | ![preview 7](4/preview_7.png) | ![preview 8](4/preview_8.png) | | 5 | 154 | [Download](5/dataset.zip) | ![preview 1](5/preview_1.png) | ![preview 2](5/preview_2.png) | ![preview 3](5/preview_3.png) | ![preview 4](5/preview_4.png) | ![preview 5](5/preview_5.png) | ![preview 6](5/preview_6.png) | ![preview 7](5/preview_7.png) | ![preview 8](5/preview_8.png) | | 6 | 103 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 123 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 52 | [Download](8/dataset.zip) | ![preview 1](8/preview_1.png) | ![preview 2](8/preview_2.png) | ![preview 3](8/preview_3.png) | ![preview 4](8/preview_4.png) | ![preview 5](8/preview_5.png) | ![preview 6](8/preview_6.png) | ![preview 7](8/preview_7.png) | ![preview 8](8/preview_8.png) | | 9 | 66 | [Download](9/dataset.zip) | ![preview 1](9/preview_1.png) | ![preview 2](9/preview_2.png) | ![preview 3](9/preview_3.png) | ![preview 4](9/preview_4.png) | ![preview 5](9/preview_5.png) | ![preview 6](9/preview_6.png) | ![preview 7](9/preview_7.png) | ![preview 8](9/preview_8.png) | | 10 | 82 | [Download](10/dataset.zip) | ![preview 1](10/preview_1.png) | ![preview 2](10/preview_2.png) | ![preview 3](10/preview_3.png) | ![preview 4](10/preview_4.png) | ![preview 5](10/preview_5.png) | ![preview 6](10/preview_6.png) | ![preview 7](10/preview_7.png) | ![preview 8](10/preview_8.png) | | 11 | 29 | [Download](11/dataset.zip) | ![preview 1](11/preview_1.png) | ![preview 2](11/preview_2.png) | ![preview 3](11/preview_3.png) | ![preview 4](11/preview_4.png) | ![preview 5](11/preview_5.png) | ![preview 6](11/preview_6.png) | ![preview 7](11/preview_7.png) | ![preview 8](11/preview_8.png) | | 12 | 50 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | 13 | 246 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 31 | [Download](14/dataset.zip) | ![preview 1](14/preview_1.png) | ![preview 2](14/preview_2.png) | ![preview 3](14/preview_3.png) | ![preview 4](14/preview_4.png) | ![preview 5](14/preview_5.png) | ![preview 6](14/preview_6.png) | ![preview 7](14/preview_7.png) | ![preview 8](14/preview_8.png) | | 15 | 85 | [Download](15/dataset.zip) | ![preview 1](15/preview_1.png) | ![preview 2](15/preview_2.png) | ![preview 3](15/preview_3.png) | ![preview 4](15/preview_4.png) | ![preview 5](15/preview_5.png) | ![preview 6](15/preview_6.png) | ![preview 7](15/preview_7.png) | ![preview 8](15/preview_8.png) | | 16 | 21 | [Download](16/dataset.zip) | ![preview 1](16/preview_1.png) | ![preview 2](16/preview_2.png) | ![preview 3](16/preview_3.png) | ![preview 4](16/preview_4.png) | ![preview 5](16/preview_5.png) | ![preview 6](16/preview_6.png) | ![preview 7](16/preview_7.png) | ![preview 8](16/preview_8.png) | | 17 | 45 | [Download](17/dataset.zip) | ![preview 1](17/preview_1.png) | ![preview 2](17/preview_2.png) | ![preview 3](17/preview_3.png) | ![preview 4](17/preview_4.png) | ![preview 5](17/preview_5.png) | ![preview 6](17/preview_6.png) | ![preview 7](17/preview_7.png) | ![preview 8](17/preview_8.png) | | 18 | 40 | [Download](18/dataset.zip) | ![preview 1](18/preview_1.png) | ![preview 2](18/preview_2.png) | ![preview 3](18/preview_3.png) | ![preview 4](18/preview_4.png) | ![preview 5](18/preview_5.png) | ![preview 6](18/preview_6.png) | ![preview 7](18/preview_7.png) | ![preview 8](18/preview_8.png) | | 19 | 42 | [Download](19/dataset.zip) | ![preview 1](19/preview_1.png) | ![preview 2](19/preview_2.png) | ![preview 3](19/preview_3.png) | ![preview 4](19/preview_4.png) | ![preview 5](19/preview_5.png) | ![preview 6](19/preview_6.png) | ![preview 7](19/preview_7.png) | ![preview 8](19/preview_8.png) | | 20 | 61 | [Download](20/dataset.zip) | ![preview 1](20/preview_1.png) | ![preview 2](20/preview_2.png) | ![preview 3](20/preview_3.png) | ![preview 4](20/preview_4.png) | ![preview 5](20/preview_5.png) | ![preview 6](20/preview_6.png) | ![preview 7](20/preview_7.png) | ![preview 8](20/preview_8.png) | | 21 | 99 | [Download](21/dataset.zip) | ![preview 1](21/preview_1.png) | ![preview 2](21/preview_2.png) | ![preview 3](21/preview_3.png) | ![preview 4](21/preview_4.png) | ![preview 5](21/preview_5.png) | ![preview 6](21/preview_6.png) | ![preview 7](21/preview_7.png) | ![preview 8](21/preview_8.png) | | 22 | 20 | [Download](22/dataset.zip) | ![preview 1](22/preview_1.png) | ![preview 2](22/preview_2.png) | ![preview 3](22/preview_3.png) | ![preview 4](22/preview_4.png) | ![preview 5](22/preview_5.png) | ![preview 6](22/preview_6.png) | ![preview 7](22/preview_7.png) | ![preview 8](22/preview_8.png) | | 23 | 118 | [Download](23/dataset.zip) | ![preview 1](23/preview_1.png) | ![preview 2](23/preview_2.png) | ![preview 3](23/preview_3.png) | ![preview 4](23/preview_4.png) | ![preview 5](23/preview_5.png) | ![preview 6](23/preview_6.png) | ![preview 7](23/preview_7.png) | ![preview 8](23/preview_8.png) | | 24 | 48 | [Download](24/dataset.zip) | ![preview 1](24/preview_1.png) | ![preview 2](24/preview_2.png) | ![preview 3](24/preview_3.png) | ![preview 4](24/preview_4.png) | ![preview 5](24/preview_5.png) | ![preview 6](24/preview_6.png) | ![preview 7](24/preview_7.png) | ![preview 8](24/preview_8.png) | | 25 | 35 | [Download](25/dataset.zip) | ![preview 1](25/preview_1.png) | ![preview 2](25/preview_2.png) | ![preview 3](25/preview_3.png) | ![preview 4](25/preview_4.png) | ![preview 5](25/preview_5.png) | ![preview 6](25/preview_6.png) | ![preview 7](25/preview_7.png) | ![preview 8](25/preview_8.png) | | 26 | 142 | [Download](26/dataset.zip) | ![preview 1](26/preview_1.png) | ![preview 2](26/preview_2.png) | ![preview 3](26/preview_3.png) | ![preview 4](26/preview_4.png) | ![preview 5](26/preview_5.png) | ![preview 6](26/preview_6.png) | ![preview 7](26/preview_7.png) | ![preview 8](26/preview_8.png) | | 27 | 1450 | [Download](27/dataset.zip) | ![preview 1](27/preview_1.png) | ![preview 2](27/preview_2.png) | ![preview 3](27/preview_3.png) | ![preview 4](27/preview_4.png) | ![preview 5](27/preview_5.png) | ![preview 6](27/preview_6.png) | ![preview 7](27/preview_7.png) | ![preview 8](27/preview_8.png) | | 28 | 43 | [Download](28/dataset.zip) | ![preview 1](28/preview_1.png) | ![preview 2](28/preview_2.png) | ![preview 3](28/preview_3.png) | ![preview 4](28/preview_4.png) | ![preview 5](28/preview_5.png) | ![preview 6](28/preview_6.png) | ![preview 7](28/preview_7.png) | ![preview 8](28/preview_8.png) | | 29 | 98 | [Download](29/dataset.zip) | ![preview 1](29/preview_1.png) | ![preview 2](29/preview_2.png) | ![preview 3](29/preview_3.png) | ![preview 4](29/preview_4.png) | ![preview 5](29/preview_5.png) | ![preview 6](29/preview_6.png) | ![preview 7](29/preview_7.png) | ![preview 8](29/preview_8.png) | | 30 | 39 | [Download](30/dataset.zip) | ![preview 1](30/preview_1.png) | ![preview 2](30/preview_2.png) | ![preview 3](30/preview_3.png) | ![preview 4](30/preview_4.png) | ![preview 5](30/preview_5.png) | ![preview 6](30/preview_6.png) | ![preview 7](30/preview_7.png) | ![preview 8](30/preview_8.png) | | 31 | 42 | [Download](31/dataset.zip) | ![preview 1](31/preview_1.png) | ![preview 2](31/preview_2.png) | ![preview 3](31/preview_3.png) | ![preview 4](31/preview_4.png) | ![preview 5](31/preview_5.png) | ![preview 6](31/preview_6.png) | ![preview 7](31/preview_7.png) | ![preview 8](31/preview_8.png) | | 32 | 67 | [Download](32/dataset.zip) | ![preview 1](32/preview_1.png) | ![preview 2](32/preview_2.png) | ![preview 3](32/preview_3.png) | ![preview 4](32/preview_4.png) | ![preview 5](32/preview_5.png) | ![preview 6](32/preview_6.png) | ![preview 7](32/preview_7.png) | ![preview 8](32/preview_8.png) | | 33 | 17 | [Download](33/dataset.zip) | ![preview 1](33/preview_1.png) | ![preview 2](33/preview_2.png) | ![preview 3](33/preview_3.png) | ![preview 4](33/preview_4.png) | ![preview 5](33/preview_5.png) | ![preview 6](33/preview_6.png) | ![preview 7](33/preview_7.png) | ![preview 8](33/preview_8.png) | | 34 | 27 | [Download](34/dataset.zip) | ![preview 1](34/preview_1.png) | ![preview 2](34/preview_2.png) | ![preview 3](34/preview_3.png) | ![preview 4](34/preview_4.png) | ![preview 5](34/preview_5.png) | ![preview 6](34/preview_6.png) | ![preview 7](34/preview_7.png) | ![preview 8](34/preview_8.png) | | 35 | 34 | [Download](35/dataset.zip) | ![preview 1](35/preview_1.png) | ![preview 2](35/preview_2.png) | ![preview 3](35/preview_3.png) | ![preview 4](35/preview_4.png) | ![preview 5](35/preview_5.png) | ![preview 6](35/preview_6.png) | ![preview 7](35/preview_7.png) | ![preview 8](35/preview_8.png) | | 36 | 14 | [Download](36/dataset.zip) | ![preview 1](36/preview_1.png) | ![preview 2](36/preview_2.png) | ![preview 3](36/preview_3.png) | ![preview 4](36/preview_4.png) | ![preview 5](36/preview_5.png) | ![preview 6](36/preview_6.png) | ![preview 7](36/preview_7.png) | ![preview 8](36/preview_8.png) | | 37 | 15 | [Download](37/dataset.zip) | ![preview 1](37/preview_1.png) | ![preview 2](37/preview_2.png) | ![preview 3](37/preview_3.png) | ![preview 4](37/preview_4.png) | ![preview 5](37/preview_5.png) | ![preview 6](37/preview_6.png) | ![preview 7](37/preview_7.png) | ![preview 8](37/preview_8.png) | | 38 | 41 | [Download](38/dataset.zip) | ![preview 1](38/preview_1.png) | ![preview 2](38/preview_2.png) | ![preview 3](38/preview_3.png) | ![preview 4](38/preview_4.png) | ![preview 5](38/preview_5.png) | ![preview 6](38/preview_6.png) | ![preview 7](38/preview_7.png) | ![preview 8](38/preview_8.png) | | 39 | 22 | [Download](39/dataset.zip) | ![preview 1](39/preview_1.png) | ![preview 2](39/preview_2.png) | ![preview 3](39/preview_3.png) | ![preview 4](39/preview_4.png) | ![preview 5](39/preview_5.png) | ![preview 6](39/preview_6.png) | ![preview 7](39/preview_7.png) | ![preview 8](39/preview_8.png) | | 40 | 24 | [Download](40/dataset.zip) | ![preview 1](40/preview_1.png) | ![preview 2](40/preview_2.png) | ![preview 3](40/preview_3.png) | ![preview 4](40/preview_4.png) | ![preview 5](40/preview_5.png) | ![preview 6](40/preview_6.png) | ![preview 7](40/preview_7.png) | ![preview 8](40/preview_8.png) | | 41 | 49 | [Download](41/dataset.zip) | ![preview 1](41/preview_1.png) | ![preview 2](41/preview_2.png) | ![preview 3](41/preview_3.png) | ![preview 4](41/preview_4.png) | ![preview 5](41/preview_5.png) | ![preview 6](41/preview_6.png) | ![preview 7](41/preview_7.png) | ![preview 8](41/preview_8.png) | | 42 | 38 | [Download](42/dataset.zip) | ![preview 1](42/preview_1.png) | ![preview 2](42/preview_2.png) | ![preview 3](42/preview_3.png) | ![preview 4](42/preview_4.png) | ![preview 5](42/preview_5.png) | ![preview 6](42/preview_6.png) | ![preview 7](42/preview_7.png) | ![preview 8](42/preview_8.png) | | 43 | 19 | [Download](43/dataset.zip) | ![preview 1](43/preview_1.png) | ![preview 2](43/preview_2.png) | ![preview 3](43/preview_3.png) | ![preview 4](43/preview_4.png) | ![preview 5](43/preview_5.png) | ![preview 6](43/preview_6.png) | ![preview 7](43/preview_7.png) | ![preview 8](43/preview_8.png) | | 44 | 24 | [Download](44/dataset.zip) | ![preview 1](44/preview_1.png) | ![preview 2](44/preview_2.png) | ![preview 3](44/preview_3.png) | ![preview 4](44/preview_4.png) | ![preview 5](44/preview_5.png) | ![preview 6](44/preview_6.png) | ![preview 7](44/preview_7.png) | ![preview 8](44/preview_8.png) | | 45 | 236 | [Download](45/dataset.zip) | ![preview 1](45/preview_1.png) | ![preview 2](45/preview_2.png) | ![preview 3](45/preview_3.png) | ![preview 4](45/preview_4.png) | ![preview 5](45/preview_5.png) | ![preview 6](45/preview_6.png) | ![preview 7](45/preview_7.png) | ![preview 8](45/preview_8.png) | | 46 | 57 | [Download](46/dataset.zip) | ![preview 1](46/preview_1.png) | ![preview 2](46/preview_2.png) | ![preview 3](46/preview_3.png) | ![preview 4](46/preview_4.png) | ![preview 5](46/preview_5.png) | ![preview 6](46/preview_6.png) | ![preview 7](46/preview_7.png) | ![preview 8](46/preview_8.png) | | 47 | 64 | [Download](47/dataset.zip) | ![preview 1](47/preview_1.png) | ![preview 2](47/preview_2.png) | ![preview 3](47/preview_3.png) | ![preview 4](47/preview_4.png) | ![preview 5](47/preview_5.png) | ![preview 6](47/preview_6.png) | ![preview 7](47/preview_7.png) | ![preview 8](47/preview_8.png) | | 48 | 34 | [Download](48/dataset.zip) | ![preview 1](48/preview_1.png) | ![preview 2](48/preview_2.png) | ![preview 3](48/preview_3.png) | ![preview 4](48/preview_4.png) | ![preview 5](48/preview_5.png) | ![preview 6](48/preview_6.png) | ![preview 7](48/preview_7.png) | ![preview 8](48/preview_8.png) | | 49 | 62 | [Download](49/dataset.zip) | ![preview 1](49/preview_1.png) | ![preview 2](49/preview_2.png) | ![preview 3](49/preview_3.png) | ![preview 4](49/preview_4.png) | ![preview 5](49/preview_5.png) | ![preview 6](49/preview_6.png) | ![preview 7](49/preview_7.png) | ![preview 8](49/preview_8.png) | | 50 | 24 | [Download](50/dataset.zip) | ![preview 1](50/preview_1.png) | ![preview 2](50/preview_2.png) | ![preview 3](50/preview_3.png) | ![preview 4](50/preview_4.png) | ![preview 5](50/preview_5.png) | ![preview 6](50/preview_6.png) | ![preview 7](50/preview_7.png) | ![preview 8](50/preview_8.png) | | 51 | 21 | [Download](51/dataset.zip) | ![preview 1](51/preview_1.png) | ![preview 2](51/preview_2.png) | ![preview 3](51/preview_3.png) | ![preview 4](51/preview_4.png) | ![preview 5](51/preview_5.png) | ![preview 6](51/preview_6.png) | ![preview 7](51/preview_7.png) | ![preview 8](51/preview_8.png) | | 52 | 12 | [Download](52/dataset.zip) | ![preview 1](52/preview_1.png) | ![preview 2](52/preview_2.png) | ![preview 3](52/preview_3.png) | ![preview 4](52/preview_4.png) | ![preview 5](52/preview_5.png) | ![preview 6](52/preview_6.png) | ![preview 7](52/preview_7.png) | ![preview 8](52/preview_8.png) | | 53 | 107 | [Download](53/dataset.zip) | ![preview 1](53/preview_1.png) | ![preview 2](53/preview_2.png) | ![preview 3](53/preview_3.png) | ![preview 4](53/preview_4.png) | ![preview 5](53/preview_5.png) | ![preview 6](53/preview_6.png) | ![preview 7](53/preview_7.png) | ![preview 8](53/preview_8.png) | | 54 | 18 | [Download](54/dataset.zip) | ![preview 1](54/preview_1.png) | ![preview 2](54/preview_2.png) | ![preview 3](54/preview_3.png) | ![preview 4](54/preview_4.png) | ![preview 5](54/preview_5.png) | ![preview 6](54/preview_6.png) | ![preview 7](54/preview_7.png) | ![preview 8](54/preview_8.png) | | 55 | 745 | [Download](55/dataset.zip) | ![preview 1](55/preview_1.png) | ![preview 2](55/preview_2.png) | ![preview 3](55/preview_3.png) | ![preview 4](55/preview_4.png) | ![preview 5](55/preview_5.png) | ![preview 6](55/preview_6.png) | ![preview 7](55/preview_7.png) | ![preview 8](55/preview_8.png) | | 56 | 133 | [Download](56/dataset.zip) | ![preview 1](56/preview_1.png) | ![preview 2](56/preview_2.png) | ![preview 3](56/preview_3.png) | ![preview 4](56/preview_4.png) | ![preview 5](56/preview_5.png) | ![preview 6](56/preview_6.png) | ![preview 7](56/preview_7.png) | ![preview 8](56/preview_8.png) | | 57 | 277 | [Download](57/dataset.zip) | ![preview 1](57/preview_1.png) | ![preview 2](57/preview_2.png) | ![preview 3](57/preview_3.png) | ![preview 4](57/preview_4.png) | ![preview 5](57/preview_5.png) | ![preview 6](57/preview_6.png) | ![preview 7](57/preview_7.png) | ![preview 8](57/preview_8.png) | | 58 | 33 | [Download](58/dataset.zip) | ![preview 1](58/preview_1.png) | ![preview 2](58/preview_2.png) | ![preview 3](58/preview_3.png) | ![preview 4](58/preview_4.png) | ![preview 5](58/preview_5.png) | ![preview 6](58/preview_6.png) | ![preview 7](58/preview_7.png) | ![preview 8](58/preview_8.png) | | 59 | 110 | [Download](59/dataset.zip) | ![preview 1](59/preview_1.png) | ![preview 2](59/preview_2.png) | ![preview 3](59/preview_3.png) | ![preview 4](59/preview_4.png) | ![preview 5](59/preview_5.png) | ![preview 6](59/preview_6.png) | ![preview 7](59/preview_7.png) | ![preview 8](59/preview_8.png) | | 60 | 65 | [Download](60/dataset.zip) | ![preview 1](60/preview_1.png) | ![preview 2](60/preview_2.png) | ![preview 3](60/preview_3.png) | ![preview 4](60/preview_4.png) | ![preview 5](60/preview_5.png) | ![preview 6](60/preview_6.png) | ![preview 7](60/preview_7.png) | ![preview 8](60/preview_8.png) | | 61 | 24 | [Download](61/dataset.zip) | ![preview 1](61/preview_1.png) | ![preview 2](61/preview_2.png) | ![preview 3](61/preview_3.png) | ![preview 4](61/preview_4.png) | ![preview 5](61/preview_5.png) | ![preview 6](61/preview_6.png) | ![preview 7](61/preview_7.png) | ![preview 8](61/preview_8.png) | | 62 | 22 | [Download](62/dataset.zip) | ![preview 1](62/preview_1.png) | ![preview 2](62/preview_2.png) | ![preview 3](62/preview_3.png) | ![preview 4](62/preview_4.png) | ![preview 5](62/preview_5.png) | ![preview 6](62/preview_6.png) | ![preview 7](62/preview_7.png) | ![preview 8](62/preview_8.png) | | 63 | 35 | [Download](63/dataset.zip) | ![preview 1](63/preview_1.png) | ![preview 2](63/preview_2.png) | ![preview 3](63/preview_3.png) | ![preview 4](63/preview_4.png) | ![preview 5](63/preview_5.png) | ![preview 6](63/preview_6.png) | ![preview 7](63/preview_7.png) | ![preview 8](63/preview_8.png) | | 64 | 65 | [Download](64/dataset.zip) | ![preview 1](64/preview_1.png) | ![preview 2](64/preview_2.png) | ![preview 3](64/preview_3.png) | ![preview 4](64/preview_4.png) | ![preview 5](64/preview_5.png) | ![preview 6](64/preview_6.png) | ![preview 7](64/preview_7.png) | ![preview 8](64/preview_8.png) | | 65 | 106 | [Download](65/dataset.zip) | ![preview 1](65/preview_1.png) | ![preview 2](65/preview_2.png) | ![preview 3](65/preview_3.png) | ![preview 4](65/preview_4.png) | ![preview 5](65/preview_5.png) | ![preview 6](65/preview_6.png) | ![preview 7](65/preview_7.png) | ![preview 8](65/preview_8.png) | | 66 | 49 | [Download](66/dataset.zip) | ![preview 1](66/preview_1.png) | ![preview 2](66/preview_2.png) | ![preview 3](66/preview_3.png) | ![preview 4](66/preview_4.png) | ![preview 5](66/preview_5.png) | ![preview 6](66/preview_6.png) | ![preview 7](66/preview_7.png) | ![preview 8](66/preview_8.png) | | 67 | 21 | [Download](67/dataset.zip) | ![preview 1](67/preview_1.png) | ![preview 2](67/preview_2.png) | ![preview 3](67/preview_3.png) | ![preview 4](67/preview_4.png) | ![preview 5](67/preview_5.png) | ![preview 6](67/preview_6.png) | ![preview 7](67/preview_7.png) | ![preview 8](67/preview_8.png) | | 68 | 45 | [Download](68/dataset.zip) | ![preview 1](68/preview_1.png) | ![preview 2](68/preview_2.png) | ![preview 3](68/preview_3.png) | ![preview 4](68/preview_4.png) | ![preview 5](68/preview_5.png) | ![preview 6](68/preview_6.png) | ![preview 7](68/preview_7.png) | ![preview 8](68/preview_8.png) | | 69 | 67 | [Download](69/dataset.zip) | ![preview 1](69/preview_1.png) | ![preview 2](69/preview_2.png) | ![preview 3](69/preview_3.png) | ![preview 4](69/preview_4.png) | ![preview 5](69/preview_5.png) | ![preview 6](69/preview_6.png) | ![preview 7](69/preview_7.png) | ![preview 8](69/preview_8.png) | | 70 | 50 | [Download](70/dataset.zip) | ![preview 1](70/preview_1.png) | ![preview 2](70/preview_2.png) | ![preview 3](70/preview_3.png) | ![preview 4](70/preview_4.png) | ![preview 5](70/preview_5.png) | ![preview 6](70/preview_6.png) | ![preview 7](70/preview_7.png) | ![preview 8](70/preview_8.png) | | 71 | 15 | [Download](71/dataset.zip) | ![preview 1](71/preview_1.png) | ![preview 2](71/preview_2.png) | ![preview 3](71/preview_3.png) | ![preview 4](71/preview_4.png) | ![preview 5](71/preview_5.png) | ![preview 6](71/preview_6.png) | ![preview 7](71/preview_7.png) | ![preview 8](71/preview_8.png) | | 72 | 52 | [Download](72/dataset.zip) | ![preview 1](72/preview_1.png) | ![preview 2](72/preview_2.png) | ![preview 3](72/preview_3.png) | ![preview 4](72/preview_4.png) | ![preview 5](72/preview_5.png) | ![preview 6](72/preview_6.png) | ![preview 7](72/preview_7.png) | ![preview 8](72/preview_8.png) | | 73 | 32 | [Download](73/dataset.zip) | ![preview 1](73/preview_1.png) | ![preview 2](73/preview_2.png) | ![preview 3](73/preview_3.png) | ![preview 4](73/preview_4.png) | ![preview 5](73/preview_5.png) | ![preview 6](73/preview_6.png) | ![preview 7](73/preview_7.png) | ![preview 8](73/preview_8.png) | | 74 | 16 | [Download](74/dataset.zip) | ![preview 1](74/preview_1.png) | ![preview 2](74/preview_2.png) | ![preview 3](74/preview_3.png) | ![preview 4](74/preview_4.png) | ![preview 5](74/preview_5.png) | ![preview 6](74/preview_6.png) | ![preview 7](74/preview_7.png) | ![preview 8](74/preview_8.png) | | 75 | 11 | [Download](75/dataset.zip) | ![preview 1](75/preview_1.png) | ![preview 2](75/preview_2.png) | ![preview 3](75/preview_3.png) | ![preview 4](75/preview_4.png) | ![preview 5](75/preview_5.png) | ![preview 6](75/preview_6.png) | ![preview 7](75/preview_7.png) | ![preview 8](75/preview_8.png) | | 76 | 21 | [Download](76/dataset.zip) | ![preview 1](76/preview_1.png) | ![preview 2](76/preview_2.png) | ![preview 3](76/preview_3.png) | ![preview 4](76/preview_4.png) | ![preview 5](76/preview_5.png) | ![preview 6](76/preview_6.png) | ![preview 7](76/preview_7.png) | ![preview 8](76/preview_8.png) | | 77 | 31 | [Download](77/dataset.zip) | ![preview 1](77/preview_1.png) | ![preview 2](77/preview_2.png) | ![preview 3](77/preview_3.png) | ![preview 4](77/preview_4.png) | ![preview 5](77/preview_5.png) | ![preview 6](77/preview_6.png) | ![preview 7](77/preview_7.png) | ![preview 8](77/preview_8.png) | | 78 | 38 | [Download](78/dataset.zip) | ![preview 1](78/preview_1.png) | ![preview 2](78/preview_2.png) | ![preview 3](78/preview_3.png) | ![preview 4](78/preview_4.png) | ![preview 5](78/preview_5.png) | ![preview 6](78/preview_6.png) | ![preview 7](78/preview_7.png) | ![preview 8](78/preview_8.png) | | 79 | 15 | [Download](79/dataset.zip) | ![preview 1](79/preview_1.png) | ![preview 2](79/preview_2.png) | ![preview 3](79/preview_3.png) | ![preview 4](79/preview_4.png) | ![preview 5](79/preview_5.png) | ![preview 6](79/preview_6.png) | ![preview 7](79/preview_7.png) | ![preview 8](79/preview_8.png) | | 80 | 49 | [Download](80/dataset.zip) | ![preview 1](80/preview_1.png) | ![preview 2](80/preview_2.png) | ![preview 3](80/preview_3.png) | ![preview 4](80/preview_4.png) | ![preview 5](80/preview_5.png) | ![preview 6](80/preview_6.png) | ![preview 7](80/preview_7.png) | ![preview 8](80/preview_8.png) | | 81 | 13 | [Download](81/dataset.zip) | ![preview 1](81/preview_1.png) | ![preview 2](81/preview_2.png) | ![preview 3](81/preview_3.png) | ![preview 4](81/preview_4.png) | ![preview 5](81/preview_5.png) | ![preview 6](81/preview_6.png) | ![preview 7](81/preview_7.png) | ![preview 8](81/preview_8.png) | | 82 | 15 | [Download](82/dataset.zip) | ![preview 1](82/preview_1.png) | ![preview 2](82/preview_2.png) | ![preview 3](82/preview_3.png) | ![preview 4](82/preview_4.png) | ![preview 5](82/preview_5.png) | ![preview 6](82/preview_6.png) | ![preview 7](82/preview_7.png) | ![preview 8](82/preview_8.png) | | 83 | 18 | [Download](83/dataset.zip) | ![preview 1](83/preview_1.png) | ![preview 2](83/preview_2.png) | ![preview 3](83/preview_3.png) | ![preview 4](83/preview_4.png) | ![preview 5](83/preview_5.png) | ![preview 6](83/preview_6.png) | ![preview 7](83/preview_7.png) | ![preview 8](83/preview_8.png) | | 84 | 16 | [Download](84/dataset.zip) | ![preview 1](84/preview_1.png) | ![preview 2](84/preview_2.png) | ![preview 3](84/preview_3.png) | ![preview 4](84/preview_4.png) | ![preview 5](84/preview_5.png) | ![preview 6](84/preview_6.png) | ![preview 7](84/preview_7.png) | ![preview 8](84/preview_8.png) | | 85 | 122 | [Download](85/dataset.zip) | ![preview 1](85/preview_1.png) | ![preview 2](85/preview_2.png) | ![preview 3](85/preview_3.png) | ![preview 4](85/preview_4.png) | ![preview 5](85/preview_5.png) | ![preview 6](85/preview_6.png) | ![preview 7](85/preview_7.png) | ![preview 8](85/preview_8.png) | | 86 | 22 | [Download](86/dataset.zip) | ![preview 1](86/preview_1.png) | ![preview 2](86/preview_2.png) | ![preview 3](86/preview_3.png) | ![preview 4](86/preview_4.png) | ![preview 5](86/preview_5.png) | ![preview 6](86/preview_6.png) | ![preview 7](86/preview_7.png) | ![preview 8](86/preview_8.png) | | 87 | 16 | [Download](87/dataset.zip) | ![preview 1](87/preview_1.png) | ![preview 2](87/preview_2.png) | ![preview 3](87/preview_3.png) | ![preview 4](87/preview_4.png) | ![preview 5](87/preview_5.png) | ![preview 6](87/preview_6.png) | ![preview 7](87/preview_7.png) | ![preview 8](87/preview_8.png) | | 88 | 57 | [Download](88/dataset.zip) | ![preview 1](88/preview_1.png) | ![preview 2](88/preview_2.png) | ![preview 3](88/preview_3.png) | ![preview 4](88/preview_4.png) | ![preview 5](88/preview_5.png) | ![preview 6](88/preview_6.png) | ![preview 7](88/preview_7.png) | ![preview 8](88/preview_8.png) | | 89 | 45 | [Download](89/dataset.zip) | ![preview 1](89/preview_1.png) | ![preview 2](89/preview_2.png) | ![preview 3](89/preview_3.png) | ![preview 4](89/preview_4.png) | ![preview 5](89/preview_5.png) | ![preview 6](89/preview_6.png) | ![preview 7](89/preview_7.png) | ![preview 8](89/preview_8.png) | | 90 | 20 | [Download](90/dataset.zip) | ![preview 1](90/preview_1.png) | ![preview 2](90/preview_2.png) | ![preview 3](90/preview_3.png) | ![preview 4](90/preview_4.png) | ![preview 5](90/preview_5.png) | ![preview 6](90/preview_6.png) | ![preview 7](90/preview_7.png) | ![preview 8](90/preview_8.png) | | 91 | 10 | [Download](91/dataset.zip) | ![preview 1](91/preview_1.png) | ![preview 2](91/preview_2.png) | ![preview 3](91/preview_3.png) | ![preview 4](91/preview_4.png) | ![preview 5](91/preview_5.png) | ![preview 6](91/preview_6.png) | ![preview 7](91/preview_7.png) | ![preview 8](91/preview_8.png) | | 92 | 30 | [Download](92/dataset.zip) | ![preview 1](92/preview_1.png) | ![preview 2](92/preview_2.png) | ![preview 3](92/preview_3.png) | ![preview 4](92/preview_4.png) | ![preview 5](92/preview_5.png) | ![preview 6](92/preview_6.png) | ![preview 7](92/preview_7.png) | ![preview 8](92/preview_8.png) | | 93 | 14 | [Download](93/dataset.zip) | ![preview 1](93/preview_1.png) | ![preview 2](93/preview_2.png) | ![preview 3](93/preview_3.png) | ![preview 4](93/preview_4.png) | ![preview 5](93/preview_5.png) | ![preview 6](93/preview_6.png) | ![preview 7](93/preview_7.png) | ![preview 8](93/preview_8.png) | | 94 | 134 | [Download](94/dataset.zip) | ![preview 1](94/preview_1.png) | ![preview 2](94/preview_2.png) | ![preview 3](94/preview_3.png) | ![preview 4](94/preview_4.png) | ![preview 5](94/preview_5.png) | ![preview 6](94/preview_6.png) | ![preview 7](94/preview_7.png) | ![preview 8](94/preview_8.png) | | 95 | 21 | [Download](95/dataset.zip) | ![preview 1](95/preview_1.png) | ![preview 2](95/preview_2.png) | ![preview 3](95/preview_3.png) | ![preview 4](95/preview_4.png) | ![preview 5](95/preview_5.png) | ![preview 6](95/preview_6.png) | ![preview 7](95/preview_7.png) | ![preview 8](95/preview_8.png) | | 96 | 26 | [Download](96/dataset.zip) | ![preview 1](96/preview_1.png) | ![preview 2](96/preview_2.png) | ![preview 3](96/preview_3.png) | ![preview 4](96/preview_4.png) | ![preview 5](96/preview_5.png) | ![preview 6](96/preview_6.png) | ![preview 7](96/preview_7.png) | ![preview 8](96/preview_8.png) | | 97 | 69 | [Download](97/dataset.zip) | ![preview 1](97/preview_1.png) | ![preview 2](97/preview_2.png) | ![preview 3](97/preview_3.png) | ![preview 4](97/preview_4.png) | ![preview 5](97/preview_5.png) | ![preview 6](97/preview_6.png) | ![preview 7](97/preview_7.png) | ![preview 8](97/preview_8.png) | | 98 | 8 | [Download](98/dataset.zip) | ![preview 1](98/preview_1.png) | ![preview 2](98/preview_2.png) | ![preview 3](98/preview_3.png) | ![preview 4](98/preview_4.png) | ![preview 5](98/preview_5.png) | ![preview 6](98/preview_6.png) | ![preview 7](98/preview_7.png) | ![preview 8](98/preview_8.png) | | 99 | 17 | [Download](99/dataset.zip) | ![preview 1](99/preview_1.png) | ![preview 2](99/preview_2.png) | ![preview 3](99/preview_3.png) | ![preview 4](99/preview_4.png) | ![preview 5](99/preview_5.png) | ![preview 6](99/preview_6.png) | ![preview 7](99/preview_7.png) | ![preview 8](99/preview_8.png) | | 100 | 18 | [Download](100/dataset.zip) | ![preview 1](100/preview_1.png) | ![preview 2](100/preview_2.png) | ![preview 3](100/preview_3.png) | ![preview 4](100/preview_4.png) | ![preview 5](100/preview_5.png) | ![preview 6](100/preview_6.png) | ![preview 7](100/preview_7.png) | ![preview 8](100/preview_8.png) | | 101 | 5 | [Download](101/dataset.zip) | ![preview 1](101/preview_1.png) | ![preview 2](101/preview_2.png) | ![preview 3](101/preview_3.png) | ![preview 4](101/preview_4.png) | ![preview 5](101/preview_5.png) | N/A | N/A | N/A | | 102 | 27 | [Download](102/dataset.zip) | ![preview 1](102/preview_1.png) | ![preview 2](102/preview_2.png) | ![preview 3](102/preview_3.png) | ![preview 4](102/preview_4.png) | ![preview 5](102/preview_5.png) | ![preview 6](102/preview_6.png) | ![preview 7](102/preview_7.png) | ![preview 8](102/preview_8.png) | | 103 | 25 | [Download](103/dataset.zip) | ![preview 1](103/preview_1.png) | ![preview 2](103/preview_2.png) | ![preview 3](103/preview_3.png) | ![preview 4](103/preview_4.png) | ![preview 5](103/preview_5.png) | ![preview 6](103/preview_6.png) | ![preview 7](103/preview_7.png) | ![preview 8](103/preview_8.png) | | 104 | 60 | [Download](104/dataset.zip) | ![preview 1](104/preview_1.png) | ![preview 2](104/preview_2.png) | ![preview 3](104/preview_3.png) | ![preview 4](104/preview_4.png) | ![preview 5](104/preview_5.png) | ![preview 6](104/preview_6.png) | ![preview 7](104/preview_7.png) | ![preview 8](104/preview_8.png) | | 105 | 25 | [Download](105/dataset.zip) | ![preview 1](105/preview_1.png) | ![preview 2](105/preview_2.png) | ![preview 3](105/preview_3.png) | ![preview 4](105/preview_4.png) | ![preview 5](105/preview_5.png) | ![preview 6](105/preview_6.png) | ![preview 7](105/preview_7.png) | ![preview 8](105/preview_8.png) | | 106 | 16 | [Download](106/dataset.zip) | ![preview 1](106/preview_1.png) | ![preview 2](106/preview_2.png) | ![preview 3](106/preview_3.png) | ![preview 4](106/preview_4.png) | ![preview 5](106/preview_5.png) | ![preview 6](106/preview_6.png) | ![preview 7](106/preview_7.png) | ![preview 8](106/preview_8.png) | | 107 | 11 | [Download](107/dataset.zip) | ![preview 1](107/preview_1.png) | ![preview 2](107/preview_2.png) | ![preview 3](107/preview_3.png) | ![preview 4](107/preview_4.png) | ![preview 5](107/preview_5.png) | ![preview 6](107/preview_6.png) | ![preview 7](107/preview_7.png) | ![preview 8](107/preview_8.png) | | 108 | 25 | [Download](108/dataset.zip) | ![preview 1](108/preview_1.png) | ![preview 2](108/preview_2.png) | ![preview 3](108/preview_3.png) | ![preview 4](108/preview_4.png) | ![preview 5](108/preview_5.png) | ![preview 6](108/preview_6.png) | ![preview 7](108/preview_7.png) | ![preview 8](108/preview_8.png) | | 109 | 14 | [Download](109/dataset.zip) | ![preview 1](109/preview_1.png) | ![preview 2](109/preview_2.png) | ![preview 3](109/preview_3.png) | ![preview 4](109/preview_4.png) | ![preview 5](109/preview_5.png) | ![preview 6](109/preview_6.png) | ![preview 7](109/preview_7.png) | ![preview 8](109/preview_8.png) | | 110 | 53 | [Download](110/dataset.zip) | ![preview 1](110/preview_1.png) | ![preview 2](110/preview_2.png) | ![preview 3](110/preview_3.png) | ![preview 4](110/preview_4.png) | ![preview 5](110/preview_5.png) | ![preview 6](110/preview_6.png) | ![preview 7](110/preview_7.png) | ![preview 8](110/preview_8.png) | | 111 | 23 | [Download](111/dataset.zip) | ![preview 1](111/preview_1.png) | ![preview 2](111/preview_2.png) | ![preview 3](111/preview_3.png) | ![preview 4](111/preview_4.png) | ![preview 5](111/preview_5.png) | ![preview 6](111/preview_6.png) | ![preview 7](111/preview_7.png) | ![preview 8](111/preview_8.png) | | 112 | 21 | [Download](112/dataset.zip) | ![preview 1](112/preview_1.png) | ![preview 2](112/preview_2.png) | ![preview 3](112/preview_3.png) | ![preview 4](112/preview_4.png) | ![preview 5](112/preview_5.png) | ![preview 6](112/preview_6.png) | ![preview 7](112/preview_7.png) | ![preview 8](112/preview_8.png) | | 113 | 12 | [Download](113/dataset.zip) | ![preview 1](113/preview_1.png) | ![preview 2](113/preview_2.png) | ![preview 3](113/preview_3.png) | ![preview 4](113/preview_4.png) | ![preview 5](113/preview_5.png) | ![preview 6](113/preview_6.png) | ![preview 7](113/preview_7.png) | ![preview 8](113/preview_8.png) | | 114 | 9 | [Download](114/dataset.zip) | ![preview 1](114/preview_1.png) | ![preview 2](114/preview_2.png) | ![preview 3](114/preview_3.png) | ![preview 4](114/preview_4.png) | ![preview 5](114/preview_5.png) | ![preview 6](114/preview_6.png) | ![preview 7](114/preview_7.png) | ![preview 8](114/preview_8.png) | | 115 | 13 | [Download](115/dataset.zip) | ![preview 1](115/preview_1.png) | ![preview 2](115/preview_2.png) | ![preview 3](115/preview_3.png) | ![preview 4](115/preview_4.png) | ![preview 5](115/preview_5.png) | ![preview 6](115/preview_6.png) | ![preview 7](115/preview_7.png) | ![preview 8](115/preview_8.png) | | 116 | 47 | [Download](116/dataset.zip) | ![preview 1](116/preview_1.png) | ![preview 2](116/preview_2.png) | ![preview 3](116/preview_3.png) | ![preview 4](116/preview_4.png) | ![preview 5](116/preview_5.png) | ![preview 6](116/preview_6.png) | ![preview 7](116/preview_7.png) | ![preview 8](116/preview_8.png) | | 117 | 11 | [Download](117/dataset.zip) | ![preview 1](117/preview_1.png) | ![preview 2](117/preview_2.png) | ![preview 3](117/preview_3.png) | ![preview 4](117/preview_4.png) | ![preview 5](117/preview_5.png) | ![preview 6](117/preview_6.png) | ![preview 7](117/preview_7.png) | ![preview 8](117/preview_8.png) | | 118 | 6 | [Download](118/dataset.zip) | ![preview 1](118/preview_1.png) | ![preview 2](118/preview_2.png) | ![preview 3](118/preview_3.png) | ![preview 4](118/preview_4.png) | ![preview 5](118/preview_5.png) | ![preview 6](118/preview_6.png) | N/A | N/A | | 119 | 6 | [Download](119/dataset.zip) | ![preview 1](119/preview_1.png) | ![preview 2](119/preview_2.png) | ![preview 3](119/preview_3.png) | ![preview 4](119/preview_4.png) | ![preview 5](119/preview_5.png) | ![preview 6](119/preview_6.png) | N/A | N/A | | 120 | 8 | [Download](120/dataset.zip) | ![preview 1](120/preview_1.png) | ![preview 2](120/preview_2.png) | ![preview 3](120/preview_3.png) | ![preview 4](120/preview_4.png) | ![preview 5](120/preview_5.png) | ![preview 6](120/preview_6.png) | ![preview 7](120/preview_7.png) | ![preview 8](120/preview_8.png) | | 121 | 54 | [Download](121/dataset.zip) | ![preview 1](121/preview_1.png) | ![preview 2](121/preview_2.png) | ![preview 3](121/preview_3.png) | ![preview 4](121/preview_4.png) | ![preview 5](121/preview_5.png) | ![preview 6](121/preview_6.png) | ![preview 7](121/preview_7.png) | ![preview 8](121/preview_8.png) | | 122 | 25 | [Download](122/dataset.zip) | ![preview 1](122/preview_1.png) | ![preview 2](122/preview_2.png) | ![preview 3](122/preview_3.png) | ![preview 4](122/preview_4.png) | ![preview 5](122/preview_5.png) | ![preview 6](122/preview_6.png) | ![preview 7](122/preview_7.png) | ![preview 8](122/preview_8.png) | | 123 | 53 | [Download](123/dataset.zip) | ![preview 1](123/preview_1.png) | ![preview 2](123/preview_2.png) | ![preview 3](123/preview_3.png) | ![preview 4](123/preview_4.png) | ![preview 5](123/preview_5.png) | ![preview 6](123/preview_6.png) | ![preview 7](123/preview_7.png) | ![preview 8](123/preview_8.png) | | 124 | 8 | [Download](124/dataset.zip) | ![preview 1](124/preview_1.png) | ![preview 2](124/preview_2.png) | ![preview 3](124/preview_3.png) | ![preview 4](124/preview_4.png) | ![preview 5](124/preview_5.png) | ![preview 6](124/preview_6.png) | ![preview 7](124/preview_7.png) | ![preview 8](124/preview_8.png) | | 125 | 16 | [Download](125/dataset.zip) | ![preview 1](125/preview_1.png) | ![preview 2](125/preview_2.png) | ![preview 3](125/preview_3.png) | ![preview 4](125/preview_4.png) | ![preview 5](125/preview_5.png) | ![preview 6](125/preview_6.png) | ![preview 7](125/preview_7.png) | ![preview 8](125/preview_8.png) | | 126 | 22 | [Download](126/dataset.zip) | ![preview 1](126/preview_1.png) | ![preview 2](126/preview_2.png) | ![preview 3](126/preview_3.png) | ![preview 4](126/preview_4.png) | ![preview 5](126/preview_5.png) | ![preview 6](126/preview_6.png) | ![preview 7](126/preview_7.png) | ![preview 8](126/preview_8.png) | | 127 | 6 | [Download](127/dataset.zip) | ![preview 1](127/preview_1.png) | ![preview 2](127/preview_2.png) | ![preview 3](127/preview_3.png) | ![preview 4](127/preview_4.png) | ![preview 5](127/preview_5.png) | ![preview 6](127/preview_6.png) | N/A | N/A | | 128 | 57 | [Download](128/dataset.zip) | ![preview 1](128/preview_1.png) | ![preview 2](128/preview_2.png) | ![preview 3](128/preview_3.png) | ![preview 4](128/preview_4.png) | ![preview 5](128/preview_5.png) | ![preview 6](128/preview_6.png) | ![preview 7](128/preview_7.png) | ![preview 8](128/preview_8.png) | | noise | 236 | [Download](-1/dataset.zip) | ![preview 1](-1/preview_1.png) | ![preview 2](-1/preview_2.png) | ![preview 3](-1/preview_3.png) | ![preview 4](-1/preview_4.png) | ![preview 5](-1/preview_5.png) | ![preview 6](-1/preview_6.png) | ![preview 7](-1/preview_7.png) | ![preview 8](-1/preview_8.png) |
BangumiBase/hunterxhunter
[ "size_categories:10K<n<100K", "license:mit", "art", "region:us" ]
2023-10-07T02:41:55+00:00
{"license": "mit", "size_categories": ["10K<n<100K"], "tags": ["art"]}
2023-10-07T09:42:11+00:00
[]
[]
TAGS #size_categories-10K<n<100K #license-mit #art #region-us
Bangumi Image Base of Hunter X Hunter ===================================== This is the image base of bangumi Hunter x Hunter, we detected 130 characters, 12906 images in total. The full dataset is here. Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview:
[]
[ "TAGS\n#size_categories-10K<n<100K #license-mit #art #region-us \n" ]
[ 25 ]
[ "passage: TAGS\n#size_categories-10K<n<100K #license-mit #art #region-us \n" ]
5b3245910d048a249ef8db9b49abb1a18d21100a
# Bangumi Image Base of Code Geass This is the image base of bangumi Code Geass, we detected 136 characters, 10361 images in total. The full dataset is [here](all.zip). **Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: | # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 | |:------|---------:|:----------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------| | 0 | 37 | [Download](0/dataset.zip) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 97 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 119 | [Download](2/dataset.zip) | ![preview 1](2/preview_1.png) | ![preview 2](2/preview_2.png) | ![preview 3](2/preview_3.png) | ![preview 4](2/preview_4.png) | ![preview 5](2/preview_5.png) | ![preview 6](2/preview_6.png) | ![preview 7](2/preview_7.png) | ![preview 8](2/preview_8.png) | | 3 | 187 | [Download](3/dataset.zip) | ![preview 1](3/preview_1.png) | ![preview 2](3/preview_2.png) | ![preview 3](3/preview_3.png) | ![preview 4](3/preview_4.png) | ![preview 5](3/preview_5.png) | ![preview 6](3/preview_6.png) | ![preview 7](3/preview_7.png) | ![preview 8](3/preview_8.png) | | 4 | 218 | [Download](4/dataset.zip) | ![preview 1](4/preview_1.png) | ![preview 2](4/preview_2.png) | ![preview 3](4/preview_3.png) | ![preview 4](4/preview_4.png) | ![preview 5](4/preview_5.png) | ![preview 6](4/preview_6.png) | ![preview 7](4/preview_7.png) | ![preview 8](4/preview_8.png) | | 5 | 131 | [Download](5/dataset.zip) | ![preview 1](5/preview_1.png) | ![preview 2](5/preview_2.png) | ![preview 3](5/preview_3.png) | ![preview 4](5/preview_4.png) | ![preview 5](5/preview_5.png) | ![preview 6](5/preview_6.png) | ![preview 7](5/preview_7.png) | ![preview 8](5/preview_8.png) | | 6 | 77 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 128 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 79 | [Download](8/dataset.zip) | ![preview 1](8/preview_1.png) | ![preview 2](8/preview_2.png) | ![preview 3](8/preview_3.png) | ![preview 4](8/preview_4.png) | ![preview 5](8/preview_5.png) | ![preview 6](8/preview_6.png) | ![preview 7](8/preview_7.png) | ![preview 8](8/preview_8.png) | | 9 | 42 | [Download](9/dataset.zip) | ![preview 1](9/preview_1.png) | ![preview 2](9/preview_2.png) | ![preview 3](9/preview_3.png) | ![preview 4](9/preview_4.png) | ![preview 5](9/preview_5.png) | ![preview 6](9/preview_6.png) | ![preview 7](9/preview_7.png) | ![preview 8](9/preview_8.png) | | 10 | 31 | [Download](10/dataset.zip) | ![preview 1](10/preview_1.png) | ![preview 2](10/preview_2.png) | ![preview 3](10/preview_3.png) | ![preview 4](10/preview_4.png) | ![preview 5](10/preview_5.png) | ![preview 6](10/preview_6.png) | ![preview 7](10/preview_7.png) | ![preview 8](10/preview_8.png) | | 11 | 39 | [Download](11/dataset.zip) | ![preview 1](11/preview_1.png) | ![preview 2](11/preview_2.png) | ![preview 3](11/preview_3.png) | ![preview 4](11/preview_4.png) | ![preview 5](11/preview_5.png) | ![preview 6](11/preview_6.png) | ![preview 7](11/preview_7.png) | ![preview 8](11/preview_8.png) | | 12 | 13 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | 13 | 42 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 52 | [Download](14/dataset.zip) | ![preview 1](14/preview_1.png) | ![preview 2](14/preview_2.png) | ![preview 3](14/preview_3.png) | ![preview 4](14/preview_4.png) | ![preview 5](14/preview_5.png) | ![preview 6](14/preview_6.png) | ![preview 7](14/preview_7.png) | ![preview 8](14/preview_8.png) | | 15 | 89 | [Download](15/dataset.zip) | ![preview 1](15/preview_1.png) | ![preview 2](15/preview_2.png) | ![preview 3](15/preview_3.png) | ![preview 4](15/preview_4.png) | ![preview 5](15/preview_5.png) | ![preview 6](15/preview_6.png) | ![preview 7](15/preview_7.png) | ![preview 8](15/preview_8.png) | | 16 | 79 | [Download](16/dataset.zip) | ![preview 1](16/preview_1.png) | ![preview 2](16/preview_2.png) | ![preview 3](16/preview_3.png) | ![preview 4](16/preview_4.png) | ![preview 5](16/preview_5.png) | ![preview 6](16/preview_6.png) | ![preview 7](16/preview_7.png) | ![preview 8](16/preview_8.png) | | 17 | 46 | [Download](17/dataset.zip) | ![preview 1](17/preview_1.png) | ![preview 2](17/preview_2.png) | ![preview 3](17/preview_3.png) | ![preview 4](17/preview_4.png) | ![preview 5](17/preview_5.png) | ![preview 6](17/preview_6.png) | ![preview 7](17/preview_7.png) | ![preview 8](17/preview_8.png) | | 18 | 75 | [Download](18/dataset.zip) | ![preview 1](18/preview_1.png) | ![preview 2](18/preview_2.png) | ![preview 3](18/preview_3.png) | ![preview 4](18/preview_4.png) | ![preview 5](18/preview_5.png) | ![preview 6](18/preview_6.png) | ![preview 7](18/preview_7.png) | ![preview 8](18/preview_8.png) | | 19 | 82 | [Download](19/dataset.zip) | ![preview 1](19/preview_1.png) | ![preview 2](19/preview_2.png) | ![preview 3](19/preview_3.png) | ![preview 4](19/preview_4.png) | ![preview 5](19/preview_5.png) | ![preview 6](19/preview_6.png) | ![preview 7](19/preview_7.png) | ![preview 8](19/preview_8.png) | | 20 | 28 | [Download](20/dataset.zip) | ![preview 1](20/preview_1.png) | ![preview 2](20/preview_2.png) | ![preview 3](20/preview_3.png) | ![preview 4](20/preview_4.png) | ![preview 5](20/preview_5.png) | ![preview 6](20/preview_6.png) | ![preview 7](20/preview_7.png) | ![preview 8](20/preview_8.png) | | 21 | 21 | [Download](21/dataset.zip) | ![preview 1](21/preview_1.png) | ![preview 2](21/preview_2.png) | ![preview 3](21/preview_3.png) | ![preview 4](21/preview_4.png) | ![preview 5](21/preview_5.png) | ![preview 6](21/preview_6.png) | ![preview 7](21/preview_7.png) | ![preview 8](21/preview_8.png) | | 22 | 51 | [Download](22/dataset.zip) | ![preview 1](22/preview_1.png) | ![preview 2](22/preview_2.png) | ![preview 3](22/preview_3.png) | ![preview 4](22/preview_4.png) | ![preview 5](22/preview_5.png) | ![preview 6](22/preview_6.png) | ![preview 7](22/preview_7.png) | ![preview 8](22/preview_8.png) | | 23 | 23 | [Download](23/dataset.zip) | ![preview 1](23/preview_1.png) | ![preview 2](23/preview_2.png) | ![preview 3](23/preview_3.png) | ![preview 4](23/preview_4.png) | ![preview 5](23/preview_5.png) | ![preview 6](23/preview_6.png) | ![preview 7](23/preview_7.png) | ![preview 8](23/preview_8.png) | | 24 | 26 | [Download](24/dataset.zip) | ![preview 1](24/preview_1.png) | ![preview 2](24/preview_2.png) | ![preview 3](24/preview_3.png) | ![preview 4](24/preview_4.png) | ![preview 5](24/preview_5.png) | ![preview 6](24/preview_6.png) | ![preview 7](24/preview_7.png) | ![preview 8](24/preview_8.png) | | 25 | 44 | [Download](25/dataset.zip) | ![preview 1](25/preview_1.png) | ![preview 2](25/preview_2.png) | ![preview 3](25/preview_3.png) | ![preview 4](25/preview_4.png) | ![preview 5](25/preview_5.png) | ![preview 6](25/preview_6.png) | ![preview 7](25/preview_7.png) | ![preview 8](25/preview_8.png) | | 26 | 1363 | [Download](26/dataset.zip) | ![preview 1](26/preview_1.png) | ![preview 2](26/preview_2.png) | ![preview 3](26/preview_3.png) | ![preview 4](26/preview_4.png) | ![preview 5](26/preview_5.png) | ![preview 6](26/preview_6.png) | ![preview 7](26/preview_7.png) | ![preview 8](26/preview_8.png) | | 27 | 21 | [Download](27/dataset.zip) | ![preview 1](27/preview_1.png) | ![preview 2](27/preview_2.png) | ![preview 3](27/preview_3.png) | ![preview 4](27/preview_4.png) | ![preview 5](27/preview_5.png) | ![preview 6](27/preview_6.png) | ![preview 7](27/preview_7.png) | ![preview 8](27/preview_8.png) | | 28 | 31 | [Download](28/dataset.zip) | ![preview 1](28/preview_1.png) | ![preview 2](28/preview_2.png) | ![preview 3](28/preview_3.png) | ![preview 4](28/preview_4.png) | ![preview 5](28/preview_5.png) | ![preview 6](28/preview_6.png) | ![preview 7](28/preview_7.png) | ![preview 8](28/preview_8.png) | | 29 | 109 | [Download](29/dataset.zip) | ![preview 1](29/preview_1.png) | ![preview 2](29/preview_2.png) | ![preview 3](29/preview_3.png) | ![preview 4](29/preview_4.png) | ![preview 5](29/preview_5.png) | ![preview 6](29/preview_6.png) | ![preview 7](29/preview_7.png) | ![preview 8](29/preview_8.png) | | 30 | 20 | [Download](30/dataset.zip) | ![preview 1](30/preview_1.png) | ![preview 2](30/preview_2.png) | ![preview 3](30/preview_3.png) | ![preview 4](30/preview_4.png) | ![preview 5](30/preview_5.png) | ![preview 6](30/preview_6.png) | ![preview 7](30/preview_7.png) | ![preview 8](30/preview_8.png) | | 31 | 16 | [Download](31/dataset.zip) | ![preview 1](31/preview_1.png) | ![preview 2](31/preview_2.png) | ![preview 3](31/preview_3.png) | ![preview 4](31/preview_4.png) | ![preview 5](31/preview_5.png) | ![preview 6](31/preview_6.png) | ![preview 7](31/preview_7.png) | ![preview 8](31/preview_8.png) | | 32 | 178 | [Download](32/dataset.zip) | ![preview 1](32/preview_1.png) | ![preview 2](32/preview_2.png) | ![preview 3](32/preview_3.png) | ![preview 4](32/preview_4.png) | ![preview 5](32/preview_5.png) | ![preview 6](32/preview_6.png) | ![preview 7](32/preview_7.png) | ![preview 8](32/preview_8.png) | | 33 | 26 | [Download](33/dataset.zip) | ![preview 1](33/preview_1.png) | ![preview 2](33/preview_2.png) | ![preview 3](33/preview_3.png) | ![preview 4](33/preview_4.png) | ![preview 5](33/preview_5.png) | ![preview 6](33/preview_6.png) | ![preview 7](33/preview_7.png) | ![preview 8](33/preview_8.png) | | 34 | 778 | [Download](34/dataset.zip) | ![preview 1](34/preview_1.png) | ![preview 2](34/preview_2.png) | ![preview 3](34/preview_3.png) | ![preview 4](34/preview_4.png) | ![preview 5](34/preview_5.png) | ![preview 6](34/preview_6.png) | ![preview 7](34/preview_7.png) | ![preview 8](34/preview_8.png) | | 35 | 16 | [Download](35/dataset.zip) | ![preview 1](35/preview_1.png) | ![preview 2](35/preview_2.png) | ![preview 3](35/preview_3.png) | ![preview 4](35/preview_4.png) | ![preview 5](35/preview_5.png) | ![preview 6](35/preview_6.png) | ![preview 7](35/preview_7.png) | ![preview 8](35/preview_8.png) | | 36 | 44 | [Download](36/dataset.zip) | ![preview 1](36/preview_1.png) | ![preview 2](36/preview_2.png) | ![preview 3](36/preview_3.png) | ![preview 4](36/preview_4.png) | ![preview 5](36/preview_5.png) | ![preview 6](36/preview_6.png) | ![preview 7](36/preview_7.png) | ![preview 8](36/preview_8.png) | | 37 | 61 | [Download](37/dataset.zip) | ![preview 1](37/preview_1.png) | ![preview 2](37/preview_2.png) | ![preview 3](37/preview_3.png) | ![preview 4](37/preview_4.png) | ![preview 5](37/preview_5.png) | ![preview 6](37/preview_6.png) | ![preview 7](37/preview_7.png) | ![preview 8](37/preview_8.png) | | 38 | 71 | [Download](38/dataset.zip) | ![preview 1](38/preview_1.png) | ![preview 2](38/preview_2.png) | ![preview 3](38/preview_3.png) | ![preview 4](38/preview_4.png) | ![preview 5](38/preview_5.png) | ![preview 6](38/preview_6.png) | ![preview 7](38/preview_7.png) | ![preview 8](38/preview_8.png) | | 39 | 14 | [Download](39/dataset.zip) | ![preview 1](39/preview_1.png) | ![preview 2](39/preview_2.png) | ![preview 3](39/preview_3.png) | ![preview 4](39/preview_4.png) | ![preview 5](39/preview_5.png) | ![preview 6](39/preview_6.png) | ![preview 7](39/preview_7.png) | ![preview 8](39/preview_8.png) | | 40 | 116 | [Download](40/dataset.zip) | ![preview 1](40/preview_1.png) | ![preview 2](40/preview_2.png) | ![preview 3](40/preview_3.png) | ![preview 4](40/preview_4.png) | ![preview 5](40/preview_5.png) | ![preview 6](40/preview_6.png) | ![preview 7](40/preview_7.png) | ![preview 8](40/preview_8.png) | | 41 | 20 | [Download](41/dataset.zip) | ![preview 1](41/preview_1.png) | ![preview 2](41/preview_2.png) | ![preview 3](41/preview_3.png) | ![preview 4](41/preview_4.png) | ![preview 5](41/preview_5.png) | ![preview 6](41/preview_6.png) | ![preview 7](41/preview_7.png) | ![preview 8](41/preview_8.png) | | 42 | 20 | [Download](42/dataset.zip) | ![preview 1](42/preview_1.png) | ![preview 2](42/preview_2.png) | ![preview 3](42/preview_3.png) | ![preview 4](42/preview_4.png) | ![preview 5](42/preview_5.png) | ![preview 6](42/preview_6.png) | ![preview 7](42/preview_7.png) | ![preview 8](42/preview_8.png) | | 43 | 113 | [Download](43/dataset.zip) | ![preview 1](43/preview_1.png) | ![preview 2](43/preview_2.png) | ![preview 3](43/preview_3.png) | ![preview 4](43/preview_4.png) | ![preview 5](43/preview_5.png) | ![preview 6](43/preview_6.png) | ![preview 7](43/preview_7.png) | ![preview 8](43/preview_8.png) | | 44 | 298 | [Download](44/dataset.zip) | ![preview 1](44/preview_1.png) | ![preview 2](44/preview_2.png) | ![preview 3](44/preview_3.png) | ![preview 4](44/preview_4.png) | ![preview 5](44/preview_5.png) | ![preview 6](44/preview_6.png) | ![preview 7](44/preview_7.png) | ![preview 8](44/preview_8.png) | | 45 | 19 | [Download](45/dataset.zip) | ![preview 1](45/preview_1.png) | ![preview 2](45/preview_2.png) | ![preview 3](45/preview_3.png) | ![preview 4](45/preview_4.png) | ![preview 5](45/preview_5.png) | ![preview 6](45/preview_6.png) | ![preview 7](45/preview_7.png) | ![preview 8](45/preview_8.png) | | 46 | 43 | [Download](46/dataset.zip) | ![preview 1](46/preview_1.png) | ![preview 2](46/preview_2.png) | ![preview 3](46/preview_3.png) | ![preview 4](46/preview_4.png) | ![preview 5](46/preview_5.png) | ![preview 6](46/preview_6.png) | ![preview 7](46/preview_7.png) | ![preview 8](46/preview_8.png) | | 47 | 141 | [Download](47/dataset.zip) | ![preview 1](47/preview_1.png) | ![preview 2](47/preview_2.png) | ![preview 3](47/preview_3.png) | ![preview 4](47/preview_4.png) | ![preview 5](47/preview_5.png) | ![preview 6](47/preview_6.png) | ![preview 7](47/preview_7.png) | ![preview 8](47/preview_8.png) | | 48 | 13 | [Download](48/dataset.zip) | ![preview 1](48/preview_1.png) | ![preview 2](48/preview_2.png) | ![preview 3](48/preview_3.png) | ![preview 4](48/preview_4.png) | ![preview 5](48/preview_5.png) | ![preview 6](48/preview_6.png) | ![preview 7](48/preview_7.png) | ![preview 8](48/preview_8.png) | | 49 | 23 | [Download](49/dataset.zip) | ![preview 1](49/preview_1.png) | ![preview 2](49/preview_2.png) | ![preview 3](49/preview_3.png) | ![preview 4](49/preview_4.png) | ![preview 5](49/preview_5.png) | ![preview 6](49/preview_6.png) | ![preview 7](49/preview_7.png) | ![preview 8](49/preview_8.png) | | 50 | 48 | [Download](50/dataset.zip) | ![preview 1](50/preview_1.png) | ![preview 2](50/preview_2.png) | ![preview 3](50/preview_3.png) | ![preview 4](50/preview_4.png) | ![preview 5](50/preview_5.png) | ![preview 6](50/preview_6.png) | ![preview 7](50/preview_7.png) | ![preview 8](50/preview_8.png) | | 51 | 20 | [Download](51/dataset.zip) | ![preview 1](51/preview_1.png) | ![preview 2](51/preview_2.png) | ![preview 3](51/preview_3.png) | ![preview 4](51/preview_4.png) | ![preview 5](51/preview_5.png) | ![preview 6](51/preview_6.png) | ![preview 7](51/preview_7.png) | ![preview 8](51/preview_8.png) | | 52 | 36 | [Download](52/dataset.zip) | ![preview 1](52/preview_1.png) | ![preview 2](52/preview_2.png) | ![preview 3](52/preview_3.png) | ![preview 4](52/preview_4.png) | ![preview 5](52/preview_5.png) | ![preview 6](52/preview_6.png) | ![preview 7](52/preview_7.png) | ![preview 8](52/preview_8.png) | | 53 | 19 | [Download](53/dataset.zip) | ![preview 1](53/preview_1.png) | ![preview 2](53/preview_2.png) | ![preview 3](53/preview_3.png) | ![preview 4](53/preview_4.png) | ![preview 5](53/preview_5.png) | ![preview 6](53/preview_6.png) | ![preview 7](53/preview_7.png) | ![preview 8](53/preview_8.png) | | 54 | 14 | [Download](54/dataset.zip) | ![preview 1](54/preview_1.png) | ![preview 2](54/preview_2.png) | ![preview 3](54/preview_3.png) | ![preview 4](54/preview_4.png) | ![preview 5](54/preview_5.png) | ![preview 6](54/preview_6.png) | ![preview 7](54/preview_7.png) | ![preview 8](54/preview_8.png) | | 55 | 16 | [Download](55/dataset.zip) | ![preview 1](55/preview_1.png) | ![preview 2](55/preview_2.png) | ![preview 3](55/preview_3.png) | ![preview 4](55/preview_4.png) | ![preview 5](55/preview_5.png) | ![preview 6](55/preview_6.png) | ![preview 7](55/preview_7.png) | ![preview 8](55/preview_8.png) | | 56 | 17 | [Download](56/dataset.zip) | ![preview 1](56/preview_1.png) | ![preview 2](56/preview_2.png) | ![preview 3](56/preview_3.png) | ![preview 4](56/preview_4.png) | ![preview 5](56/preview_5.png) | ![preview 6](56/preview_6.png) | ![preview 7](56/preview_7.png) | ![preview 8](56/preview_8.png) | | 57 | 90 | [Download](57/dataset.zip) | ![preview 1](57/preview_1.png) | ![preview 2](57/preview_2.png) | ![preview 3](57/preview_3.png) | ![preview 4](57/preview_4.png) | ![preview 5](57/preview_5.png) | ![preview 6](57/preview_6.png) | ![preview 7](57/preview_7.png) | ![preview 8](57/preview_8.png) | | 58 | 33 | [Download](58/dataset.zip) | ![preview 1](58/preview_1.png) | ![preview 2](58/preview_2.png) | ![preview 3](58/preview_3.png) | ![preview 4](58/preview_4.png) | ![preview 5](58/preview_5.png) | ![preview 6](58/preview_6.png) | ![preview 7](58/preview_7.png) | ![preview 8](58/preview_8.png) | | 59 | 17 | [Download](59/dataset.zip) | ![preview 1](59/preview_1.png) | ![preview 2](59/preview_2.png) | ![preview 3](59/preview_3.png) | ![preview 4](59/preview_4.png) | ![preview 5](59/preview_5.png) | ![preview 6](59/preview_6.png) | ![preview 7](59/preview_7.png) | ![preview 8](59/preview_8.png) | | 60 | 27 | [Download](60/dataset.zip) | ![preview 1](60/preview_1.png) | ![preview 2](60/preview_2.png) | ![preview 3](60/preview_3.png) | ![preview 4](60/preview_4.png) | ![preview 5](60/preview_5.png) | ![preview 6](60/preview_6.png) | ![preview 7](60/preview_7.png) | ![preview 8](60/preview_8.png) | | 61 | 197 | [Download](61/dataset.zip) | ![preview 1](61/preview_1.png) | ![preview 2](61/preview_2.png) | ![preview 3](61/preview_3.png) | ![preview 4](61/preview_4.png) | ![preview 5](61/preview_5.png) | ![preview 6](61/preview_6.png) | ![preview 7](61/preview_7.png) | ![preview 8](61/preview_8.png) | | 62 | 19 | [Download](62/dataset.zip) | ![preview 1](62/preview_1.png) | ![preview 2](62/preview_2.png) | ![preview 3](62/preview_3.png) | ![preview 4](62/preview_4.png) | ![preview 5](62/preview_5.png) | ![preview 6](62/preview_6.png) | ![preview 7](62/preview_7.png) | ![preview 8](62/preview_8.png) | | 63 | 43 | [Download](63/dataset.zip) | ![preview 1](63/preview_1.png) | ![preview 2](63/preview_2.png) | ![preview 3](63/preview_3.png) | ![preview 4](63/preview_4.png) | ![preview 5](63/preview_5.png) | ![preview 6](63/preview_6.png) | ![preview 7](63/preview_7.png) | ![preview 8](63/preview_8.png) | | 64 | 591 | [Download](64/dataset.zip) | ![preview 1](64/preview_1.png) | ![preview 2](64/preview_2.png) | ![preview 3](64/preview_3.png) | ![preview 4](64/preview_4.png) | ![preview 5](64/preview_5.png) | ![preview 6](64/preview_6.png) | ![preview 7](64/preview_7.png) | ![preview 8](64/preview_8.png) | | 65 | 44 | [Download](65/dataset.zip) | ![preview 1](65/preview_1.png) | ![preview 2](65/preview_2.png) | ![preview 3](65/preview_3.png) | ![preview 4](65/preview_4.png) | ![preview 5](65/preview_5.png) | ![preview 6](65/preview_6.png) | ![preview 7](65/preview_7.png) | ![preview 8](65/preview_8.png) | | 66 | 73 | [Download](66/dataset.zip) | ![preview 1](66/preview_1.png) | ![preview 2](66/preview_2.png) | ![preview 3](66/preview_3.png) | ![preview 4](66/preview_4.png) | ![preview 5](66/preview_5.png) | ![preview 6](66/preview_6.png) | ![preview 7](66/preview_7.png) | ![preview 8](66/preview_8.png) | | 67 | 60 | [Download](67/dataset.zip) | ![preview 1](67/preview_1.png) | ![preview 2](67/preview_2.png) | ![preview 3](67/preview_3.png) | ![preview 4](67/preview_4.png) | ![preview 5](67/preview_5.png) | ![preview 6](67/preview_6.png) | ![preview 7](67/preview_7.png) | ![preview 8](67/preview_8.png) | | 68 | 151 | [Download](68/dataset.zip) | ![preview 1](68/preview_1.png) | ![preview 2](68/preview_2.png) | ![preview 3](68/preview_3.png) | ![preview 4](68/preview_4.png) | ![preview 5](68/preview_5.png) | ![preview 6](68/preview_6.png) | ![preview 7](68/preview_7.png) | ![preview 8](68/preview_8.png) | | 69 | 22 | [Download](69/dataset.zip) | ![preview 1](69/preview_1.png) | ![preview 2](69/preview_2.png) | ![preview 3](69/preview_3.png) | ![preview 4](69/preview_4.png) | ![preview 5](69/preview_5.png) | ![preview 6](69/preview_6.png) | ![preview 7](69/preview_7.png) | ![preview 8](69/preview_8.png) | | 70 | 20 | [Download](70/dataset.zip) | ![preview 1](70/preview_1.png) | ![preview 2](70/preview_2.png) | ![preview 3](70/preview_3.png) | ![preview 4](70/preview_4.png) | ![preview 5](70/preview_5.png) | ![preview 6](70/preview_6.png) | ![preview 7](70/preview_7.png) | ![preview 8](70/preview_8.png) | | 71 | 74 | [Download](71/dataset.zip) | ![preview 1](71/preview_1.png) | ![preview 2](71/preview_2.png) | ![preview 3](71/preview_3.png) | ![preview 4](71/preview_4.png) | ![preview 5](71/preview_5.png) | ![preview 6](71/preview_6.png) | ![preview 7](71/preview_7.png) | ![preview 8](71/preview_8.png) | | 72 | 20 | [Download](72/dataset.zip) | ![preview 1](72/preview_1.png) | ![preview 2](72/preview_2.png) | ![preview 3](72/preview_3.png) | ![preview 4](72/preview_4.png) | ![preview 5](72/preview_5.png) | ![preview 6](72/preview_6.png) | ![preview 7](72/preview_7.png) | ![preview 8](72/preview_8.png) | | 73 | 54 | [Download](73/dataset.zip) | ![preview 1](73/preview_1.png) | ![preview 2](73/preview_2.png) | ![preview 3](73/preview_3.png) | ![preview 4](73/preview_4.png) | ![preview 5](73/preview_5.png) | ![preview 6](73/preview_6.png) | ![preview 7](73/preview_7.png) | ![preview 8](73/preview_8.png) | | 74 | 26 | [Download](74/dataset.zip) | ![preview 1](74/preview_1.png) | ![preview 2](74/preview_2.png) | ![preview 3](74/preview_3.png) | ![preview 4](74/preview_4.png) | ![preview 5](74/preview_5.png) | ![preview 6](74/preview_6.png) | ![preview 7](74/preview_7.png) | ![preview 8](74/preview_8.png) | | 75 | 28 | [Download](75/dataset.zip) | ![preview 1](75/preview_1.png) | ![preview 2](75/preview_2.png) | ![preview 3](75/preview_3.png) | ![preview 4](75/preview_4.png) | ![preview 5](75/preview_5.png) | ![preview 6](75/preview_6.png) | ![preview 7](75/preview_7.png) | ![preview 8](75/preview_8.png) | | 76 | 30 | [Download](76/dataset.zip) | ![preview 1](76/preview_1.png) | ![preview 2](76/preview_2.png) | ![preview 3](76/preview_3.png) | ![preview 4](76/preview_4.png) | ![preview 5](76/preview_5.png) | ![preview 6](76/preview_6.png) | ![preview 7](76/preview_7.png) | ![preview 8](76/preview_8.png) | | 77 | 14 | [Download](77/dataset.zip) | ![preview 1](77/preview_1.png) | ![preview 2](77/preview_2.png) | ![preview 3](77/preview_3.png) | ![preview 4](77/preview_4.png) | ![preview 5](77/preview_5.png) | ![preview 6](77/preview_6.png) | ![preview 7](77/preview_7.png) | ![preview 8](77/preview_8.png) | | 78 | 13 | [Download](78/dataset.zip) | ![preview 1](78/preview_1.png) | ![preview 2](78/preview_2.png) | ![preview 3](78/preview_3.png) | ![preview 4](78/preview_4.png) | ![preview 5](78/preview_5.png) | ![preview 6](78/preview_6.png) | ![preview 7](78/preview_7.png) | ![preview 8](78/preview_8.png) | | 79 | 55 | [Download](79/dataset.zip) | ![preview 1](79/preview_1.png) | ![preview 2](79/preview_2.png) | ![preview 3](79/preview_3.png) | ![preview 4](79/preview_4.png) | ![preview 5](79/preview_5.png) | ![preview 6](79/preview_6.png) | ![preview 7](79/preview_7.png) | ![preview 8](79/preview_8.png) | | 80 | 12 | [Download](80/dataset.zip) | ![preview 1](80/preview_1.png) | ![preview 2](80/preview_2.png) | ![preview 3](80/preview_3.png) | ![preview 4](80/preview_4.png) | ![preview 5](80/preview_5.png) | ![preview 6](80/preview_6.png) | ![preview 7](80/preview_7.png) | ![preview 8](80/preview_8.png) | | 81 | 165 | [Download](81/dataset.zip) | ![preview 1](81/preview_1.png) | ![preview 2](81/preview_2.png) | ![preview 3](81/preview_3.png) | ![preview 4](81/preview_4.png) | ![preview 5](81/preview_5.png) | ![preview 6](81/preview_6.png) | ![preview 7](81/preview_7.png) | ![preview 8](81/preview_8.png) | | 82 | 11 | [Download](82/dataset.zip) | ![preview 1](82/preview_1.png) | ![preview 2](82/preview_2.png) | ![preview 3](82/preview_3.png) | ![preview 4](82/preview_4.png) | ![preview 5](82/preview_5.png) | ![preview 6](82/preview_6.png) | ![preview 7](82/preview_7.png) | ![preview 8](82/preview_8.png) | | 83 | 185 | [Download](83/dataset.zip) | ![preview 1](83/preview_1.png) | ![preview 2](83/preview_2.png) | ![preview 3](83/preview_3.png) | ![preview 4](83/preview_4.png) | ![preview 5](83/preview_5.png) | ![preview 6](83/preview_6.png) | ![preview 7](83/preview_7.png) | ![preview 8](83/preview_8.png) | | 84 | 72 | [Download](84/dataset.zip) | ![preview 1](84/preview_1.png) | ![preview 2](84/preview_2.png) | ![preview 3](84/preview_3.png) | ![preview 4](84/preview_4.png) | ![preview 5](84/preview_5.png) | ![preview 6](84/preview_6.png) | ![preview 7](84/preview_7.png) | ![preview 8](84/preview_8.png) | | 85 | 9 | [Download](85/dataset.zip) | ![preview 1](85/preview_1.png) | ![preview 2](85/preview_2.png) | ![preview 3](85/preview_3.png) | ![preview 4](85/preview_4.png) | ![preview 5](85/preview_5.png) | ![preview 6](85/preview_6.png) | ![preview 7](85/preview_7.png) | ![preview 8](85/preview_8.png) | | 86 | 32 | [Download](86/dataset.zip) | ![preview 1](86/preview_1.png) | ![preview 2](86/preview_2.png) | ![preview 3](86/preview_3.png) | ![preview 4](86/preview_4.png) | ![preview 5](86/preview_5.png) | ![preview 6](86/preview_6.png) | ![preview 7](86/preview_7.png) | ![preview 8](86/preview_8.png) | | 87 | 39 | [Download](87/dataset.zip) | ![preview 1](87/preview_1.png) | ![preview 2](87/preview_2.png) | ![preview 3](87/preview_3.png) | ![preview 4](87/preview_4.png) | ![preview 5](87/preview_5.png) | ![preview 6](87/preview_6.png) | ![preview 7](87/preview_7.png) | ![preview 8](87/preview_8.png) | | 88 | 120 | [Download](88/dataset.zip) | ![preview 1](88/preview_1.png) | ![preview 2](88/preview_2.png) | ![preview 3](88/preview_3.png) | ![preview 4](88/preview_4.png) | ![preview 5](88/preview_5.png) | ![preview 6](88/preview_6.png) | ![preview 7](88/preview_7.png) | ![preview 8](88/preview_8.png) | | 89 | 126 | [Download](89/dataset.zip) | ![preview 1](89/preview_1.png) | ![preview 2](89/preview_2.png) | ![preview 3](89/preview_3.png) | ![preview 4](89/preview_4.png) | ![preview 5](89/preview_5.png) | ![preview 6](89/preview_6.png) | ![preview 7](89/preview_7.png) | ![preview 8](89/preview_8.png) | | 90 | 18 | [Download](90/dataset.zip) | ![preview 1](90/preview_1.png) | ![preview 2](90/preview_2.png) | ![preview 3](90/preview_3.png) | ![preview 4](90/preview_4.png) | ![preview 5](90/preview_5.png) | ![preview 6](90/preview_6.png) | ![preview 7](90/preview_7.png) | ![preview 8](90/preview_8.png) | | 91 | 44 | [Download](91/dataset.zip) | ![preview 1](91/preview_1.png) | ![preview 2](91/preview_2.png) | ![preview 3](91/preview_3.png) | ![preview 4](91/preview_4.png) | ![preview 5](91/preview_5.png) | ![preview 6](91/preview_6.png) | ![preview 7](91/preview_7.png) | ![preview 8](91/preview_8.png) | | 92 | 10 | [Download](92/dataset.zip) | ![preview 1](92/preview_1.png) | ![preview 2](92/preview_2.png) | ![preview 3](92/preview_3.png) | ![preview 4](92/preview_4.png) | ![preview 5](92/preview_5.png) | ![preview 6](92/preview_6.png) | ![preview 7](92/preview_7.png) | ![preview 8](92/preview_8.png) | | 93 | 6 | [Download](93/dataset.zip) | ![preview 1](93/preview_1.png) | ![preview 2](93/preview_2.png) | ![preview 3](93/preview_3.png) | ![preview 4](93/preview_4.png) | ![preview 5](93/preview_5.png) | ![preview 6](93/preview_6.png) | N/A | N/A | | 94 | 43 | [Download](94/dataset.zip) | ![preview 1](94/preview_1.png) | ![preview 2](94/preview_2.png) | ![preview 3](94/preview_3.png) | ![preview 4](94/preview_4.png) | ![preview 5](94/preview_5.png) | ![preview 6](94/preview_6.png) | ![preview 7](94/preview_7.png) | ![preview 8](94/preview_8.png) | | 95 | 207 | [Download](95/dataset.zip) | ![preview 1](95/preview_1.png) | ![preview 2](95/preview_2.png) | ![preview 3](95/preview_3.png) | ![preview 4](95/preview_4.png) | ![preview 5](95/preview_5.png) | ![preview 6](95/preview_6.png) | ![preview 7](95/preview_7.png) | ![preview 8](95/preview_8.png) | | 96 | 12 | [Download](96/dataset.zip) | ![preview 1](96/preview_1.png) | ![preview 2](96/preview_2.png) | ![preview 3](96/preview_3.png) | ![preview 4](96/preview_4.png) | ![preview 5](96/preview_5.png) | ![preview 6](96/preview_6.png) | ![preview 7](96/preview_7.png) | ![preview 8](96/preview_8.png) | | 97 | 11 | [Download](97/dataset.zip) | ![preview 1](97/preview_1.png) | ![preview 2](97/preview_2.png) | ![preview 3](97/preview_3.png) | ![preview 4](97/preview_4.png) | ![preview 5](97/preview_5.png) | ![preview 6](97/preview_6.png) | ![preview 7](97/preview_7.png) | ![preview 8](97/preview_8.png) | | 98 | 15 | [Download](98/dataset.zip) | ![preview 1](98/preview_1.png) | ![preview 2](98/preview_2.png) | ![preview 3](98/preview_3.png) | ![preview 4](98/preview_4.png) | ![preview 5](98/preview_5.png) | ![preview 6](98/preview_6.png) | ![preview 7](98/preview_7.png) | ![preview 8](98/preview_8.png) | | 99 | 17 | [Download](99/dataset.zip) | ![preview 1](99/preview_1.png) | ![preview 2](99/preview_2.png) | ![preview 3](99/preview_3.png) | ![preview 4](99/preview_4.png) | ![preview 5](99/preview_5.png) | ![preview 6](99/preview_6.png) | ![preview 7](99/preview_7.png) | ![preview 8](99/preview_8.png) | | 100 | 20 | [Download](100/dataset.zip) | ![preview 1](100/preview_1.png) | ![preview 2](100/preview_2.png) | ![preview 3](100/preview_3.png) | ![preview 4](100/preview_4.png) | ![preview 5](100/preview_5.png) | ![preview 6](100/preview_6.png) | ![preview 7](100/preview_7.png) | ![preview 8](100/preview_8.png) | | 101 | 9 | [Download](101/dataset.zip) | ![preview 1](101/preview_1.png) | ![preview 2](101/preview_2.png) | ![preview 3](101/preview_3.png) | ![preview 4](101/preview_4.png) | ![preview 5](101/preview_5.png) | ![preview 6](101/preview_6.png) | ![preview 7](101/preview_7.png) | ![preview 8](101/preview_8.png) | | 102 | 253 | [Download](102/dataset.zip) | ![preview 1](102/preview_1.png) | ![preview 2](102/preview_2.png) | ![preview 3](102/preview_3.png) | ![preview 4](102/preview_4.png) | ![preview 5](102/preview_5.png) | ![preview 6](102/preview_6.png) | ![preview 7](102/preview_7.png) | ![preview 8](102/preview_8.png) | | 103 | 10 | [Download](103/dataset.zip) | ![preview 1](103/preview_1.png) | ![preview 2](103/preview_2.png) | ![preview 3](103/preview_3.png) | ![preview 4](103/preview_4.png) | ![preview 5](103/preview_5.png) | ![preview 6](103/preview_6.png) | ![preview 7](103/preview_7.png) | ![preview 8](103/preview_8.png) | | 104 | 16 | [Download](104/dataset.zip) | ![preview 1](104/preview_1.png) | ![preview 2](104/preview_2.png) | ![preview 3](104/preview_3.png) | ![preview 4](104/preview_4.png) | ![preview 5](104/preview_5.png) | ![preview 6](104/preview_6.png) | ![preview 7](104/preview_7.png) | ![preview 8](104/preview_8.png) | | 105 | 28 | [Download](105/dataset.zip) | ![preview 1](105/preview_1.png) | ![preview 2](105/preview_2.png) | ![preview 3](105/preview_3.png) | ![preview 4](105/preview_4.png) | ![preview 5](105/preview_5.png) | ![preview 6](105/preview_6.png) | ![preview 7](105/preview_7.png) | ![preview 8](105/preview_8.png) | | 106 | 19 | [Download](106/dataset.zip) | ![preview 1](106/preview_1.png) | ![preview 2](106/preview_2.png) | ![preview 3](106/preview_3.png) | ![preview 4](106/preview_4.png) | ![preview 5](106/preview_5.png) | ![preview 6](106/preview_6.png) | ![preview 7](106/preview_7.png) | ![preview 8](106/preview_8.png) | | 107 | 9 | [Download](107/dataset.zip) | ![preview 1](107/preview_1.png) | ![preview 2](107/preview_2.png) | ![preview 3](107/preview_3.png) | ![preview 4](107/preview_4.png) | ![preview 5](107/preview_5.png) | ![preview 6](107/preview_6.png) | ![preview 7](107/preview_7.png) | ![preview 8](107/preview_8.png) | | 108 | 17 | [Download](108/dataset.zip) | ![preview 1](108/preview_1.png) | ![preview 2](108/preview_2.png) | ![preview 3](108/preview_3.png) | ![preview 4](108/preview_4.png) | ![preview 5](108/preview_5.png) | ![preview 6](108/preview_6.png) | ![preview 7](108/preview_7.png) | ![preview 8](108/preview_8.png) | | 109 | 12 | [Download](109/dataset.zip) | ![preview 1](109/preview_1.png) | ![preview 2](109/preview_2.png) | ![preview 3](109/preview_3.png) | ![preview 4](109/preview_4.png) | ![preview 5](109/preview_5.png) | ![preview 6](109/preview_6.png) | ![preview 7](109/preview_7.png) | ![preview 8](109/preview_8.png) | | 110 | 7 | [Download](110/dataset.zip) | ![preview 1](110/preview_1.png) | ![preview 2](110/preview_2.png) | ![preview 3](110/preview_3.png) | ![preview 4](110/preview_4.png) | ![preview 5](110/preview_5.png) | ![preview 6](110/preview_6.png) | ![preview 7](110/preview_7.png) | N/A | | 111 | 11 | [Download](111/dataset.zip) | ![preview 1](111/preview_1.png) | ![preview 2](111/preview_2.png) | ![preview 3](111/preview_3.png) | ![preview 4](111/preview_4.png) | ![preview 5](111/preview_5.png) | ![preview 6](111/preview_6.png) | ![preview 7](111/preview_7.png) | ![preview 8](111/preview_8.png) | | 112 | 20 | [Download](112/dataset.zip) | ![preview 1](112/preview_1.png) | ![preview 2](112/preview_2.png) | ![preview 3](112/preview_3.png) | ![preview 4](112/preview_4.png) | ![preview 5](112/preview_5.png) | ![preview 6](112/preview_6.png) | ![preview 7](112/preview_7.png) | ![preview 8](112/preview_8.png) | | 113 | 17 | [Download](113/dataset.zip) | ![preview 1](113/preview_1.png) | ![preview 2](113/preview_2.png) | ![preview 3](113/preview_3.png) | ![preview 4](113/preview_4.png) | ![preview 5](113/preview_5.png) | ![preview 6](113/preview_6.png) | ![preview 7](113/preview_7.png) | ![preview 8](113/preview_8.png) | | 114 | 10 | [Download](114/dataset.zip) | ![preview 1](114/preview_1.png) | ![preview 2](114/preview_2.png) | ![preview 3](114/preview_3.png) | ![preview 4](114/preview_4.png) | ![preview 5](114/preview_5.png) | ![preview 6](114/preview_6.png) | ![preview 7](114/preview_7.png) | ![preview 8](114/preview_8.png) | | 115 | 9 | [Download](115/dataset.zip) | ![preview 1](115/preview_1.png) | ![preview 2](115/preview_2.png) | ![preview 3](115/preview_3.png) | ![preview 4](115/preview_4.png) | ![preview 5](115/preview_5.png) | ![preview 6](115/preview_6.png) | ![preview 7](115/preview_7.png) | ![preview 8](115/preview_8.png) | | 116 | 22 | [Download](116/dataset.zip) | ![preview 1](116/preview_1.png) | ![preview 2](116/preview_2.png) | ![preview 3](116/preview_3.png) | ![preview 4](116/preview_4.png) | ![preview 5](116/preview_5.png) | ![preview 6](116/preview_6.png) | ![preview 7](116/preview_7.png) | ![preview 8](116/preview_8.png) | | 117 | 308 | [Download](117/dataset.zip) | ![preview 1](117/preview_1.png) | ![preview 2](117/preview_2.png) | ![preview 3](117/preview_3.png) | ![preview 4](117/preview_4.png) | ![preview 5](117/preview_5.png) | ![preview 6](117/preview_6.png) | ![preview 7](117/preview_7.png) | ![preview 8](117/preview_8.png) | | 118 | 423 | [Download](118/dataset.zip) | ![preview 1](118/preview_1.png) | ![preview 2](118/preview_2.png) | ![preview 3](118/preview_3.png) | ![preview 4](118/preview_4.png) | ![preview 5](118/preview_5.png) | ![preview 6](118/preview_6.png) | ![preview 7](118/preview_7.png) | ![preview 8](118/preview_8.png) | | 119 | 19 | [Download](119/dataset.zip) | ![preview 1](119/preview_1.png) | ![preview 2](119/preview_2.png) | ![preview 3](119/preview_3.png) | ![preview 4](119/preview_4.png) | ![preview 5](119/preview_5.png) | ![preview 6](119/preview_6.png) | ![preview 7](119/preview_7.png) | ![preview 8](119/preview_8.png) | | 120 | 7 | [Download](120/dataset.zip) | ![preview 1](120/preview_1.png) | ![preview 2](120/preview_2.png) | ![preview 3](120/preview_3.png) | ![preview 4](120/preview_4.png) | ![preview 5](120/preview_5.png) | ![preview 6](120/preview_6.png) | ![preview 7](120/preview_7.png) | N/A | | 121 | 9 | [Download](121/dataset.zip) | ![preview 1](121/preview_1.png) | ![preview 2](121/preview_2.png) | ![preview 3](121/preview_3.png) | ![preview 4](121/preview_4.png) | ![preview 5](121/preview_5.png) | ![preview 6](121/preview_6.png) | ![preview 7](121/preview_7.png) | ![preview 8](121/preview_8.png) | | 122 | 8 | [Download](122/dataset.zip) | ![preview 1](122/preview_1.png) | ![preview 2](122/preview_2.png) | ![preview 3](122/preview_3.png) | ![preview 4](122/preview_4.png) | ![preview 5](122/preview_5.png) | ![preview 6](122/preview_6.png) | ![preview 7](122/preview_7.png) | ![preview 8](122/preview_8.png) | | 123 | 114 | [Download](123/dataset.zip) | ![preview 1](123/preview_1.png) | ![preview 2](123/preview_2.png) | ![preview 3](123/preview_3.png) | ![preview 4](123/preview_4.png) | ![preview 5](123/preview_5.png) | ![preview 6](123/preview_6.png) | ![preview 7](123/preview_7.png) | ![preview 8](123/preview_8.png) | | 124 | 88 | [Download](124/dataset.zip) | ![preview 1](124/preview_1.png) | ![preview 2](124/preview_2.png) | ![preview 3](124/preview_3.png) | ![preview 4](124/preview_4.png) | ![preview 5](124/preview_5.png) | ![preview 6](124/preview_6.png) | ![preview 7](124/preview_7.png) | ![preview 8](124/preview_8.png) | | 125 | 5 | [Download](125/dataset.zip) | ![preview 1](125/preview_1.png) | ![preview 2](125/preview_2.png) | ![preview 3](125/preview_3.png) | ![preview 4](125/preview_4.png) | ![preview 5](125/preview_5.png) | N/A | N/A | N/A | | 126 | 10 | [Download](126/dataset.zip) | ![preview 1](126/preview_1.png) | ![preview 2](126/preview_2.png) | ![preview 3](126/preview_3.png) | ![preview 4](126/preview_4.png) | ![preview 5](126/preview_5.png) | ![preview 6](126/preview_6.png) | ![preview 7](126/preview_7.png) | ![preview 8](126/preview_8.png) | | 127 | 14 | [Download](127/dataset.zip) | ![preview 1](127/preview_1.png) | ![preview 2](127/preview_2.png) | ![preview 3](127/preview_3.png) | ![preview 4](127/preview_4.png) | ![preview 5](127/preview_5.png) | ![preview 6](127/preview_6.png) | ![preview 7](127/preview_7.png) | ![preview 8](127/preview_8.png) | | 128 | 8 | [Download](128/dataset.zip) | ![preview 1](128/preview_1.png) | ![preview 2](128/preview_2.png) | ![preview 3](128/preview_3.png) | ![preview 4](128/preview_4.png) | ![preview 5](128/preview_5.png) | ![preview 6](128/preview_6.png) | ![preview 7](128/preview_7.png) | ![preview 8](128/preview_8.png) | | 129 | 5 | [Download](129/dataset.zip) | ![preview 1](129/preview_1.png) | ![preview 2](129/preview_2.png) | ![preview 3](129/preview_3.png) | ![preview 4](129/preview_4.png) | ![preview 5](129/preview_5.png) | N/A | N/A | N/A | | 130 | 13 | [Download](130/dataset.zip) | ![preview 1](130/preview_1.png) | ![preview 2](130/preview_2.png) | ![preview 3](130/preview_3.png) | ![preview 4](130/preview_4.png) | ![preview 5](130/preview_5.png) | ![preview 6](130/preview_6.png) | ![preview 7](130/preview_7.png) | ![preview 8](130/preview_8.png) | | 131 | 14 | [Download](131/dataset.zip) | ![preview 1](131/preview_1.png) | ![preview 2](131/preview_2.png) | ![preview 3](131/preview_3.png) | ![preview 4](131/preview_4.png) | ![preview 5](131/preview_5.png) | ![preview 6](131/preview_6.png) | ![preview 7](131/preview_7.png) | ![preview 8](131/preview_8.png) | | 132 | 7 | [Download](132/dataset.zip) | ![preview 1](132/preview_1.png) | ![preview 2](132/preview_2.png) | ![preview 3](132/preview_3.png) | ![preview 4](132/preview_4.png) | ![preview 5](132/preview_5.png) | ![preview 6](132/preview_6.png) | ![preview 7](132/preview_7.png) | N/A | | 133 | 30 | [Download](133/dataset.zip) | ![preview 1](133/preview_1.png) | ![preview 2](133/preview_2.png) | ![preview 3](133/preview_3.png) | ![preview 4](133/preview_4.png) | ![preview 5](133/preview_5.png) | ![preview 6](133/preview_6.png) | ![preview 7](133/preview_7.png) | ![preview 8](133/preview_8.png) | | 134 | 7 | [Download](134/dataset.zip) | ![preview 1](134/preview_1.png) | ![preview 2](134/preview_2.png) | ![preview 3](134/preview_3.png) | ![preview 4](134/preview_4.png) | ![preview 5](134/preview_5.png) | ![preview 6](134/preview_6.png) | ![preview 7](134/preview_7.png) | N/A | | noise | 348 | [Download](-1/dataset.zip) | ![preview 1](-1/preview_1.png) | ![preview 2](-1/preview_2.png) | ![preview 3](-1/preview_3.png) | ![preview 4](-1/preview_4.png) | ![preview 5](-1/preview_5.png) | ![preview 6](-1/preview_6.png) | ![preview 7](-1/preview_7.png) | ![preview 8](-1/preview_8.png) |
BangumiBase/codegeass
[ "size_categories:10K<n<100K", "license:mit", "art", "region:us" ]
2023-10-07T02:43:38+00:00
{"license": "mit", "size_categories": ["10K<n<100K"], "tags": ["art"]}
2023-10-07T08:31:25+00:00
[]
[]
TAGS #size_categories-10K<n<100K #license-mit #art #region-us
Bangumi Image Base of Code Geass ================================ This is the image base of bangumi Code Geass, we detected 136 characters, 10361 images in total. The full dataset is here. Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview:
[]
[ "TAGS\n#size_categories-10K<n<100K #license-mit #art #region-us \n" ]
[ 25 ]
[ "passage: TAGS\n#size_categories-10K<n<100K #license-mit #art #region-us \n" ]
45f569ae6a87d2f05cb9a9edbfc6b923449e49be
# AutoTrain Dataset for project: test ## Dataset Description This dataset has been automatically processed by AutoTrain for project test. ### Languages The BCP-47 code for the dataset's language is unk. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "image": "<380x254 RGB PIL image>", "target": 0 }, { "image": "<339x254 RGB PIL image>", "target": 0 } ] ``` ### Dataset Fields The dataset has the following fields (also called "features"): ```json { "image": "Image(decode=True, id=None)", "target": "ClassLabel(names=['Mountain', 'sea', 'snow'], id=None)" } ``` ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow: | Split name | Num samples | | ------------ | ------------------- | | train | 6 | | valid | 3 |
ziqin/autotrain-data-test
[ "task_categories:image-classification", "region:us" ]
2023-10-07T02:45:35+00:00
{"task_categories": ["image-classification"]}
2023-10-07T02:52:33+00:00
[]
[]
TAGS #task_categories-image-classification #region-us
AutoTrain Dataset for project: test =================================== Dataset Description ------------------- This dataset has been automatically processed by AutoTrain for project test. ### Languages The BCP-47 code for the dataset's language is unk. Dataset Structure ----------------- ### Data Instances A sample from this dataset looks as follows: ### Dataset Fields The dataset has the following fields (also called "features"): ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow:
[ "### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nA sample from this dataset looks as follows:", "### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):", "### Dataset Splits\n\n\nThis dataset is split into a train and validation split. The split sizes are as follow:" ]
[ "TAGS\n#task_categories-image-classification #region-us \n", "### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nA sample from this dataset looks as follows:", "### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):", "### Dataset Splits\n\n\nThis dataset is split into a train and validation split. The split sizes are as follow:" ]
[ 17, 27, 17, 23, 27 ]
[ "passage: TAGS\n#task_categories-image-classification #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):### Dataset Splits\n\n\nThis dataset is split into a train and validation split. The split sizes are as follow:" ]
2fb0044a30ca0982b8d6b0c49be2a82e5ffdcf9d
# Dataset Card for "hf-github-issues-comments-cat" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
alokps/hf-github-issues-comments-cat
[ "region:us" ]
2023-10-07T02:46:55+00:00
{"dataset_info": {"features": [{"name": "html_url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "comments", "dtype": "string"}, {"name": "body", "dtype": "string"}, {"name": "comment_length", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23118062, "num_examples": 3907}], "download_size": 5079082, "dataset_size": 23118062}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T02:47:00+00:00
[]
[]
TAGS #region-us
# Dataset Card for "hf-github-issues-comments-cat" More Information needed
[ "# Dataset Card for \"hf-github-issues-comments-cat\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"hf-github-issues-comments-cat\"\n\nMore Information needed" ]
[ 6, 23 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"hf-github-issues-comments-cat\"\n\nMore Information needed" ]
3ef4f2ce6b10b0b9e3ad7e9ee1863947e5902d79
# Dataset Card for "hf-github-issues-comments-embeddings" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
alokps/hf-github-issues-comments-embeddings
[ "region:us" ]
2023-10-07T02:52:00+00:00
{"dataset_info": {"features": [{"name": "html_url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "comments", "dtype": "string"}, {"name": "body", "dtype": "string"}, {"name": "comment_length", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "embeddings", "sequence": "float32"}], "splits": [{"name": "train", "num_bytes": 35135994, "num_examples": 3907}], "download_size": 18199957, "dataset_size": 35135994}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T02:52:15+00:00
[]
[]
TAGS #region-us
# Dataset Card for "hf-github-issues-comments-embeddings" More Information needed
[ "# Dataset Card for \"hf-github-issues-comments-embeddings\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"hf-github-issues-comments-embeddings\"\n\nMore Information needed" ]
[ 6, 25 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"hf-github-issues-comments-embeddings\"\n\nMore Information needed" ]
4a6759cd02d2ac776ec11c5a22a9f2ed9ec9b99a
# Dataset Card for "EMSAssist-2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
saahith/EMSAssist-2
[ "region:us" ]
2023-10-07T03:00:11+00:00
{"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "transcript", "dtype": "string"}, {"name": "duration", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 617788659.262, "num_examples": 1122}, {"name": "test", "num_bytes": 1197091986.0, "num_examples": 600}], "download_size": 1350447521, "dataset_size": 1814880645.262}}
2023-10-07T03:11:54+00:00
[]
[]
TAGS #region-us
# Dataset Card for "EMSAssist-2" More Information needed
[ "# Dataset Card for \"EMSAssist-2\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"EMSAssist-2\"\n\nMore Information needed" ]
[ 6, 15 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"EMSAssist-2\"\n\nMore Information needed" ]
761b1722f57f6b35255b1532042dee98d0804d74
# Bangumi Image Base of Jojo No Kimyou Na Bouken This is the image base of bangumi JoJo no Kimyou na Bouken, we detected 137 characters, 14828 images in total. The full dataset is [here](all.zip). **Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: | # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 | |:------|---------:|:----------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------| | 0 | 68 | [Download](0/dataset.zip) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 351 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 101 | [Download](2/dataset.zip) | ![preview 1](2/preview_1.png) | ![preview 2](2/preview_2.png) | ![preview 3](2/preview_3.png) | ![preview 4](2/preview_4.png) | ![preview 5](2/preview_5.png) | ![preview 6](2/preview_6.png) | ![preview 7](2/preview_7.png) | ![preview 8](2/preview_8.png) | | 3 | 188 | [Download](3/dataset.zip) | ![preview 1](3/preview_1.png) | ![preview 2](3/preview_2.png) | ![preview 3](3/preview_3.png) | ![preview 4](3/preview_4.png) | ![preview 5](3/preview_5.png) | ![preview 6](3/preview_6.png) | ![preview 7](3/preview_7.png) | ![preview 8](3/preview_8.png) | | 4 | 92 | [Download](4/dataset.zip) | ![preview 1](4/preview_1.png) | ![preview 2](4/preview_2.png) | ![preview 3](4/preview_3.png) | ![preview 4](4/preview_4.png) | ![preview 5](4/preview_5.png) | ![preview 6](4/preview_6.png) | ![preview 7](4/preview_7.png) | ![preview 8](4/preview_8.png) | | 5 | 57 | [Download](5/dataset.zip) | ![preview 1](5/preview_1.png) | ![preview 2](5/preview_2.png) | ![preview 3](5/preview_3.png) | ![preview 4](5/preview_4.png) | ![preview 5](5/preview_5.png) | ![preview 6](5/preview_6.png) | ![preview 7](5/preview_7.png) | ![preview 8](5/preview_8.png) | | 6 | 161 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 647 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 144 | [Download](8/dataset.zip) | ![preview 1](8/preview_1.png) | ![preview 2](8/preview_2.png) | ![preview 3](8/preview_3.png) | ![preview 4](8/preview_4.png) | ![preview 5](8/preview_5.png) | ![preview 6](8/preview_6.png) | ![preview 7](8/preview_7.png) | ![preview 8](8/preview_8.png) | | 9 | 821 | [Download](9/dataset.zip) | ![preview 1](9/preview_1.png) | ![preview 2](9/preview_2.png) | ![preview 3](9/preview_3.png) | ![preview 4](9/preview_4.png) | ![preview 5](9/preview_5.png) | ![preview 6](9/preview_6.png) | ![preview 7](9/preview_7.png) | ![preview 8](9/preview_8.png) | | 10 | 68 | [Download](10/dataset.zip) | ![preview 1](10/preview_1.png) | ![preview 2](10/preview_2.png) | ![preview 3](10/preview_3.png) | ![preview 4](10/preview_4.png) | ![preview 5](10/preview_5.png) | ![preview 6](10/preview_6.png) | ![preview 7](10/preview_7.png) | ![preview 8](10/preview_8.png) | | 11 | 220 | [Download](11/dataset.zip) | ![preview 1](11/preview_1.png) | ![preview 2](11/preview_2.png) | ![preview 3](11/preview_3.png) | ![preview 4](11/preview_4.png) | ![preview 5](11/preview_5.png) | ![preview 6](11/preview_6.png) | ![preview 7](11/preview_7.png) | ![preview 8](11/preview_8.png) | | 12 | 942 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | 13 | 37 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 336 | [Download](14/dataset.zip) | ![preview 1](14/preview_1.png) | ![preview 2](14/preview_2.png) | ![preview 3](14/preview_3.png) | ![preview 4](14/preview_4.png) | ![preview 5](14/preview_5.png) | ![preview 6](14/preview_6.png) | ![preview 7](14/preview_7.png) | ![preview 8](14/preview_8.png) | | 15 | 274 | [Download](15/dataset.zip) | ![preview 1](15/preview_1.png) | ![preview 2](15/preview_2.png) | ![preview 3](15/preview_3.png) | ![preview 4](15/preview_4.png) | ![preview 5](15/preview_5.png) | ![preview 6](15/preview_6.png) | ![preview 7](15/preview_7.png) | ![preview 8](15/preview_8.png) | | 16 | 562 | [Download](16/dataset.zip) | ![preview 1](16/preview_1.png) | ![preview 2](16/preview_2.png) | ![preview 3](16/preview_3.png) | ![preview 4](16/preview_4.png) | ![preview 5](16/preview_5.png) | ![preview 6](16/preview_6.png) | ![preview 7](16/preview_7.png) | ![preview 8](16/preview_8.png) | | 17 | 225 | [Download](17/dataset.zip) | ![preview 1](17/preview_1.png) | ![preview 2](17/preview_2.png) | ![preview 3](17/preview_3.png) | ![preview 4](17/preview_4.png) | ![preview 5](17/preview_5.png) | ![preview 6](17/preview_6.png) | ![preview 7](17/preview_7.png) | ![preview 8](17/preview_8.png) | | 18 | 151 | [Download](18/dataset.zip) | ![preview 1](18/preview_1.png) | ![preview 2](18/preview_2.png) | ![preview 3](18/preview_3.png) | ![preview 4](18/preview_4.png) | ![preview 5](18/preview_5.png) | ![preview 6](18/preview_6.png) | ![preview 7](18/preview_7.png) | ![preview 8](18/preview_8.png) | | 19 | 48 | [Download](19/dataset.zip) | ![preview 1](19/preview_1.png) | ![preview 2](19/preview_2.png) | ![preview 3](19/preview_3.png) | ![preview 4](19/preview_4.png) | ![preview 5](19/preview_5.png) | ![preview 6](19/preview_6.png) | ![preview 7](19/preview_7.png) | ![preview 8](19/preview_8.png) | | 20 | 613 | [Download](20/dataset.zip) | ![preview 1](20/preview_1.png) | ![preview 2](20/preview_2.png) | ![preview 3](20/preview_3.png) | ![preview 4](20/preview_4.png) | ![preview 5](20/preview_5.png) | ![preview 6](20/preview_6.png) | ![preview 7](20/preview_7.png) | ![preview 8](20/preview_8.png) | | 21 | 132 | [Download](21/dataset.zip) | ![preview 1](21/preview_1.png) | ![preview 2](21/preview_2.png) | ![preview 3](21/preview_3.png) | ![preview 4](21/preview_4.png) | ![preview 5](21/preview_5.png) | ![preview 6](21/preview_6.png) | ![preview 7](21/preview_7.png) | ![preview 8](21/preview_8.png) | | 22 | 207 | [Download](22/dataset.zip) | ![preview 1](22/preview_1.png) | ![preview 2](22/preview_2.png) | ![preview 3](22/preview_3.png) | ![preview 4](22/preview_4.png) | ![preview 5](22/preview_5.png) | ![preview 6](22/preview_6.png) | ![preview 7](22/preview_7.png) | ![preview 8](22/preview_8.png) | | 23 | 151 | [Download](23/dataset.zip) | ![preview 1](23/preview_1.png) | ![preview 2](23/preview_2.png) | ![preview 3](23/preview_3.png) | ![preview 4](23/preview_4.png) | ![preview 5](23/preview_5.png) | ![preview 6](23/preview_6.png) | ![preview 7](23/preview_7.png) | ![preview 8](23/preview_8.png) | | 24 | 58 | [Download](24/dataset.zip) | ![preview 1](24/preview_1.png) | ![preview 2](24/preview_2.png) | ![preview 3](24/preview_3.png) | ![preview 4](24/preview_4.png) | ![preview 5](24/preview_5.png) | ![preview 6](24/preview_6.png) | ![preview 7](24/preview_7.png) | ![preview 8](24/preview_8.png) | | 25 | 679 | [Download](25/dataset.zip) | ![preview 1](25/preview_1.png) | ![preview 2](25/preview_2.png) | ![preview 3](25/preview_3.png) | ![preview 4](25/preview_4.png) | ![preview 5](25/preview_5.png) | ![preview 6](25/preview_6.png) | ![preview 7](25/preview_7.png) | ![preview 8](25/preview_8.png) | | 26 | 527 | [Download](26/dataset.zip) | ![preview 1](26/preview_1.png) | ![preview 2](26/preview_2.png) | ![preview 3](26/preview_3.png) | ![preview 4](26/preview_4.png) | ![preview 5](26/preview_5.png) | ![preview 6](26/preview_6.png) | ![preview 7](26/preview_7.png) | ![preview 8](26/preview_8.png) | | 27 | 86 | [Download](27/dataset.zip) | ![preview 1](27/preview_1.png) | ![preview 2](27/preview_2.png) | ![preview 3](27/preview_3.png) | ![preview 4](27/preview_4.png) | ![preview 5](27/preview_5.png) | ![preview 6](27/preview_6.png) | ![preview 7](27/preview_7.png) | ![preview 8](27/preview_8.png) | | 28 | 27 | [Download](28/dataset.zip) | ![preview 1](28/preview_1.png) | ![preview 2](28/preview_2.png) | ![preview 3](28/preview_3.png) | ![preview 4](28/preview_4.png) | ![preview 5](28/preview_5.png) | ![preview 6](28/preview_6.png) | ![preview 7](28/preview_7.png) | ![preview 8](28/preview_8.png) | | 29 | 45 | [Download](29/dataset.zip) | ![preview 1](29/preview_1.png) | ![preview 2](29/preview_2.png) | ![preview 3](29/preview_3.png) | ![preview 4](29/preview_4.png) | ![preview 5](29/preview_5.png) | ![preview 6](29/preview_6.png) | ![preview 7](29/preview_7.png) | ![preview 8](29/preview_8.png) | | 30 | 47 | [Download](30/dataset.zip) | ![preview 1](30/preview_1.png) | ![preview 2](30/preview_2.png) | ![preview 3](30/preview_3.png) | ![preview 4](30/preview_4.png) | ![preview 5](30/preview_5.png) | ![preview 6](30/preview_6.png) | ![preview 7](30/preview_7.png) | ![preview 8](30/preview_8.png) | | 31 | 87 | [Download](31/dataset.zip) | ![preview 1](31/preview_1.png) | ![preview 2](31/preview_2.png) | ![preview 3](31/preview_3.png) | ![preview 4](31/preview_4.png) | ![preview 5](31/preview_5.png) | ![preview 6](31/preview_6.png) | ![preview 7](31/preview_7.png) | ![preview 8](31/preview_8.png) | | 32 | 138 | [Download](32/dataset.zip) | ![preview 1](32/preview_1.png) | ![preview 2](32/preview_2.png) | ![preview 3](32/preview_3.png) | ![preview 4](32/preview_4.png) | ![preview 5](32/preview_5.png) | ![preview 6](32/preview_6.png) | ![preview 7](32/preview_7.png) | ![preview 8](32/preview_8.png) | | 33 | 48 | [Download](33/dataset.zip) | ![preview 1](33/preview_1.png) | ![preview 2](33/preview_2.png) | ![preview 3](33/preview_3.png) | ![preview 4](33/preview_4.png) | ![preview 5](33/preview_5.png) | ![preview 6](33/preview_6.png) | ![preview 7](33/preview_7.png) | ![preview 8](33/preview_8.png) | | 34 | 45 | [Download](34/dataset.zip) | ![preview 1](34/preview_1.png) | ![preview 2](34/preview_2.png) | ![preview 3](34/preview_3.png) | ![preview 4](34/preview_4.png) | ![preview 5](34/preview_5.png) | ![preview 6](34/preview_6.png) | ![preview 7](34/preview_7.png) | ![preview 8](34/preview_8.png) | | 35 | 30 | [Download](35/dataset.zip) | ![preview 1](35/preview_1.png) | ![preview 2](35/preview_2.png) | ![preview 3](35/preview_3.png) | ![preview 4](35/preview_4.png) | ![preview 5](35/preview_5.png) | ![preview 6](35/preview_6.png) | ![preview 7](35/preview_7.png) | ![preview 8](35/preview_8.png) | | 36 | 108 | [Download](36/dataset.zip) | ![preview 1](36/preview_1.png) | ![preview 2](36/preview_2.png) | ![preview 3](36/preview_3.png) | ![preview 4](36/preview_4.png) | ![preview 5](36/preview_5.png) | ![preview 6](36/preview_6.png) | ![preview 7](36/preview_7.png) | ![preview 8](36/preview_8.png) | | 37 | 175 | [Download](37/dataset.zip) | ![preview 1](37/preview_1.png) | ![preview 2](37/preview_2.png) | ![preview 3](37/preview_3.png) | ![preview 4](37/preview_4.png) | ![preview 5](37/preview_5.png) | ![preview 6](37/preview_6.png) | ![preview 7](37/preview_7.png) | ![preview 8](37/preview_8.png) | | 38 | 33 | [Download](38/dataset.zip) | ![preview 1](38/preview_1.png) | ![preview 2](38/preview_2.png) | ![preview 3](38/preview_3.png) | ![preview 4](38/preview_4.png) | ![preview 5](38/preview_5.png) | ![preview 6](38/preview_6.png) | ![preview 7](38/preview_7.png) | ![preview 8](38/preview_8.png) | | 39 | 133 | [Download](39/dataset.zip) | ![preview 1](39/preview_1.png) | ![preview 2](39/preview_2.png) | ![preview 3](39/preview_3.png) | ![preview 4](39/preview_4.png) | ![preview 5](39/preview_5.png) | ![preview 6](39/preview_6.png) | ![preview 7](39/preview_7.png) | ![preview 8](39/preview_8.png) | | 40 | 81 | [Download](40/dataset.zip) | ![preview 1](40/preview_1.png) | ![preview 2](40/preview_2.png) | ![preview 3](40/preview_3.png) | ![preview 4](40/preview_4.png) | ![preview 5](40/preview_5.png) | ![preview 6](40/preview_6.png) | ![preview 7](40/preview_7.png) | ![preview 8](40/preview_8.png) | | 41 | 121 | [Download](41/dataset.zip) | ![preview 1](41/preview_1.png) | ![preview 2](41/preview_2.png) | ![preview 3](41/preview_3.png) | ![preview 4](41/preview_4.png) | ![preview 5](41/preview_5.png) | ![preview 6](41/preview_6.png) | ![preview 7](41/preview_7.png) | ![preview 8](41/preview_8.png) | | 42 | 26 | [Download](42/dataset.zip) | ![preview 1](42/preview_1.png) | ![preview 2](42/preview_2.png) | ![preview 3](42/preview_3.png) | ![preview 4](42/preview_4.png) | ![preview 5](42/preview_5.png) | ![preview 6](42/preview_6.png) | ![preview 7](42/preview_7.png) | ![preview 8](42/preview_8.png) | | 43 | 65 | [Download](43/dataset.zip) | ![preview 1](43/preview_1.png) | ![preview 2](43/preview_2.png) | ![preview 3](43/preview_3.png) | ![preview 4](43/preview_4.png) | ![preview 5](43/preview_5.png) | ![preview 6](43/preview_6.png) | ![preview 7](43/preview_7.png) | ![preview 8](43/preview_8.png) | | 44 | 36 | [Download](44/dataset.zip) | ![preview 1](44/preview_1.png) | ![preview 2](44/preview_2.png) | ![preview 3](44/preview_3.png) | ![preview 4](44/preview_4.png) | ![preview 5](44/preview_5.png) | ![preview 6](44/preview_6.png) | ![preview 7](44/preview_7.png) | ![preview 8](44/preview_8.png) | | 45 | 15 | [Download](45/dataset.zip) | ![preview 1](45/preview_1.png) | ![preview 2](45/preview_2.png) | ![preview 3](45/preview_3.png) | ![preview 4](45/preview_4.png) | ![preview 5](45/preview_5.png) | ![preview 6](45/preview_6.png) | ![preview 7](45/preview_7.png) | ![preview 8](45/preview_8.png) | | 46 | 41 | [Download](46/dataset.zip) | ![preview 1](46/preview_1.png) | ![preview 2](46/preview_2.png) | ![preview 3](46/preview_3.png) | ![preview 4](46/preview_4.png) | ![preview 5](46/preview_5.png) | ![preview 6](46/preview_6.png) | ![preview 7](46/preview_7.png) | ![preview 8](46/preview_8.png) | | 47 | 71 | [Download](47/dataset.zip) | ![preview 1](47/preview_1.png) | ![preview 2](47/preview_2.png) | ![preview 3](47/preview_3.png) | ![preview 4](47/preview_4.png) | ![preview 5](47/preview_5.png) | ![preview 6](47/preview_6.png) | ![preview 7](47/preview_7.png) | ![preview 8](47/preview_8.png) | | 48 | 20 | [Download](48/dataset.zip) | ![preview 1](48/preview_1.png) | ![preview 2](48/preview_2.png) | ![preview 3](48/preview_3.png) | ![preview 4](48/preview_4.png) | ![preview 5](48/preview_5.png) | ![preview 6](48/preview_6.png) | ![preview 7](48/preview_7.png) | ![preview 8](48/preview_8.png) | | 49 | 29 | [Download](49/dataset.zip) | ![preview 1](49/preview_1.png) | ![preview 2](49/preview_2.png) | ![preview 3](49/preview_3.png) | ![preview 4](49/preview_4.png) | ![preview 5](49/preview_5.png) | ![preview 6](49/preview_6.png) | ![preview 7](49/preview_7.png) | ![preview 8](49/preview_8.png) | | 50 | 163 | [Download](50/dataset.zip) | ![preview 1](50/preview_1.png) | ![preview 2](50/preview_2.png) | ![preview 3](50/preview_3.png) | ![preview 4](50/preview_4.png) | ![preview 5](50/preview_5.png) | ![preview 6](50/preview_6.png) | ![preview 7](50/preview_7.png) | ![preview 8](50/preview_8.png) | | 51 | 172 | [Download](51/dataset.zip) | ![preview 1](51/preview_1.png) | ![preview 2](51/preview_2.png) | ![preview 3](51/preview_3.png) | ![preview 4](51/preview_4.png) | ![preview 5](51/preview_5.png) | ![preview 6](51/preview_6.png) | ![preview 7](51/preview_7.png) | ![preview 8](51/preview_8.png) | | 52 | 43 | [Download](52/dataset.zip) | ![preview 1](52/preview_1.png) | ![preview 2](52/preview_2.png) | ![preview 3](52/preview_3.png) | ![preview 4](52/preview_4.png) | ![preview 5](52/preview_5.png) | ![preview 6](52/preview_6.png) | ![preview 7](52/preview_7.png) | ![preview 8](52/preview_8.png) | | 53 | 393 | [Download](53/dataset.zip) | ![preview 1](53/preview_1.png) | ![preview 2](53/preview_2.png) | ![preview 3](53/preview_3.png) | ![preview 4](53/preview_4.png) | ![preview 5](53/preview_5.png) | ![preview 6](53/preview_6.png) | ![preview 7](53/preview_7.png) | ![preview 8](53/preview_8.png) | | 54 | 63 | [Download](54/dataset.zip) | ![preview 1](54/preview_1.png) | ![preview 2](54/preview_2.png) | ![preview 3](54/preview_3.png) | ![preview 4](54/preview_4.png) | ![preview 5](54/preview_5.png) | ![preview 6](54/preview_6.png) | ![preview 7](54/preview_7.png) | ![preview 8](54/preview_8.png) | | 55 | 36 | [Download](55/dataset.zip) | ![preview 1](55/preview_1.png) | ![preview 2](55/preview_2.png) | ![preview 3](55/preview_3.png) | ![preview 4](55/preview_4.png) | ![preview 5](55/preview_5.png) | ![preview 6](55/preview_6.png) | ![preview 7](55/preview_7.png) | ![preview 8](55/preview_8.png) | | 56 | 52 | [Download](56/dataset.zip) | ![preview 1](56/preview_1.png) | ![preview 2](56/preview_2.png) | ![preview 3](56/preview_3.png) | ![preview 4](56/preview_4.png) | ![preview 5](56/preview_5.png) | ![preview 6](56/preview_6.png) | ![preview 7](56/preview_7.png) | ![preview 8](56/preview_8.png) | | 57 | 80 | [Download](57/dataset.zip) | ![preview 1](57/preview_1.png) | ![preview 2](57/preview_2.png) | ![preview 3](57/preview_3.png) | ![preview 4](57/preview_4.png) | ![preview 5](57/preview_5.png) | ![preview 6](57/preview_6.png) | ![preview 7](57/preview_7.png) | ![preview 8](57/preview_8.png) | | 58 | 38 | [Download](58/dataset.zip) | ![preview 1](58/preview_1.png) | ![preview 2](58/preview_2.png) | ![preview 3](58/preview_3.png) | ![preview 4](58/preview_4.png) | ![preview 5](58/preview_5.png) | ![preview 6](58/preview_6.png) | ![preview 7](58/preview_7.png) | ![preview 8](58/preview_8.png) | | 59 | 48 | [Download](59/dataset.zip) | ![preview 1](59/preview_1.png) | ![preview 2](59/preview_2.png) | ![preview 3](59/preview_3.png) | ![preview 4](59/preview_4.png) | ![preview 5](59/preview_5.png) | ![preview 6](59/preview_6.png) | ![preview 7](59/preview_7.png) | ![preview 8](59/preview_8.png) | | 60 | 51 | [Download](60/dataset.zip) | ![preview 1](60/preview_1.png) | ![preview 2](60/preview_2.png) | ![preview 3](60/preview_3.png) | ![preview 4](60/preview_4.png) | ![preview 5](60/preview_5.png) | ![preview 6](60/preview_6.png) | ![preview 7](60/preview_7.png) | ![preview 8](60/preview_8.png) | | 61 | 33 | [Download](61/dataset.zip) | ![preview 1](61/preview_1.png) | ![preview 2](61/preview_2.png) | ![preview 3](61/preview_3.png) | ![preview 4](61/preview_4.png) | ![preview 5](61/preview_5.png) | ![preview 6](61/preview_6.png) | ![preview 7](61/preview_7.png) | ![preview 8](61/preview_8.png) | | 62 | 38 | [Download](62/dataset.zip) | ![preview 1](62/preview_1.png) | ![preview 2](62/preview_2.png) | ![preview 3](62/preview_3.png) | ![preview 4](62/preview_4.png) | ![preview 5](62/preview_5.png) | ![preview 6](62/preview_6.png) | ![preview 7](62/preview_7.png) | ![preview 8](62/preview_8.png) | | 63 | 21 | [Download](63/dataset.zip) | ![preview 1](63/preview_1.png) | ![preview 2](63/preview_2.png) | ![preview 3](63/preview_3.png) | ![preview 4](63/preview_4.png) | ![preview 5](63/preview_5.png) | ![preview 6](63/preview_6.png) | ![preview 7](63/preview_7.png) | ![preview 8](63/preview_8.png) | | 64 | 39 | [Download](64/dataset.zip) | ![preview 1](64/preview_1.png) | ![preview 2](64/preview_2.png) | ![preview 3](64/preview_3.png) | ![preview 4](64/preview_4.png) | ![preview 5](64/preview_5.png) | ![preview 6](64/preview_6.png) | ![preview 7](64/preview_7.png) | ![preview 8](64/preview_8.png) | | 65 | 26 | [Download](65/dataset.zip) | ![preview 1](65/preview_1.png) | ![preview 2](65/preview_2.png) | ![preview 3](65/preview_3.png) | ![preview 4](65/preview_4.png) | ![preview 5](65/preview_5.png) | ![preview 6](65/preview_6.png) | ![preview 7](65/preview_7.png) | ![preview 8](65/preview_8.png) | | 66 | 62 | [Download](66/dataset.zip) | ![preview 1](66/preview_1.png) | ![preview 2](66/preview_2.png) | ![preview 3](66/preview_3.png) | ![preview 4](66/preview_4.png) | ![preview 5](66/preview_5.png) | ![preview 6](66/preview_6.png) | ![preview 7](66/preview_7.png) | ![preview 8](66/preview_8.png) | | 67 | 27 | [Download](67/dataset.zip) | ![preview 1](67/preview_1.png) | ![preview 2](67/preview_2.png) | ![preview 3](67/preview_3.png) | ![preview 4](67/preview_4.png) | ![preview 5](67/preview_5.png) | ![preview 6](67/preview_6.png) | ![preview 7](67/preview_7.png) | ![preview 8](67/preview_8.png) | | 68 | 19 | [Download](68/dataset.zip) | ![preview 1](68/preview_1.png) | ![preview 2](68/preview_2.png) | ![preview 3](68/preview_3.png) | ![preview 4](68/preview_4.png) | ![preview 5](68/preview_5.png) | ![preview 6](68/preview_6.png) | ![preview 7](68/preview_7.png) | ![preview 8](68/preview_8.png) | | 69 | 43 | [Download](69/dataset.zip) | ![preview 1](69/preview_1.png) | ![preview 2](69/preview_2.png) | ![preview 3](69/preview_3.png) | ![preview 4](69/preview_4.png) | ![preview 5](69/preview_5.png) | ![preview 6](69/preview_6.png) | ![preview 7](69/preview_7.png) | ![preview 8](69/preview_8.png) | | 70 | 87 | [Download](70/dataset.zip) | ![preview 1](70/preview_1.png) | ![preview 2](70/preview_2.png) | ![preview 3](70/preview_3.png) | ![preview 4](70/preview_4.png) | ![preview 5](70/preview_5.png) | ![preview 6](70/preview_6.png) | ![preview 7](70/preview_7.png) | ![preview 8](70/preview_8.png) | | 71 | 82 | [Download](71/dataset.zip) | ![preview 1](71/preview_1.png) | ![preview 2](71/preview_2.png) | ![preview 3](71/preview_3.png) | ![preview 4](71/preview_4.png) | ![preview 5](71/preview_5.png) | ![preview 6](71/preview_6.png) | ![preview 7](71/preview_7.png) | ![preview 8](71/preview_8.png) | | 72 | 30 | [Download](72/dataset.zip) | ![preview 1](72/preview_1.png) | ![preview 2](72/preview_2.png) | ![preview 3](72/preview_3.png) | ![preview 4](72/preview_4.png) | ![preview 5](72/preview_5.png) | ![preview 6](72/preview_6.png) | ![preview 7](72/preview_7.png) | ![preview 8](72/preview_8.png) | | 73 | 52 | [Download](73/dataset.zip) | ![preview 1](73/preview_1.png) | ![preview 2](73/preview_2.png) | ![preview 3](73/preview_3.png) | ![preview 4](73/preview_4.png) | ![preview 5](73/preview_5.png) | ![preview 6](73/preview_6.png) | ![preview 7](73/preview_7.png) | ![preview 8](73/preview_8.png) | | 74 | 70 | [Download](74/dataset.zip) | ![preview 1](74/preview_1.png) | ![preview 2](74/preview_2.png) | ![preview 3](74/preview_3.png) | ![preview 4](74/preview_4.png) | ![preview 5](74/preview_5.png) | ![preview 6](74/preview_6.png) | ![preview 7](74/preview_7.png) | ![preview 8](74/preview_8.png) | | 75 | 41 | [Download](75/dataset.zip) | ![preview 1](75/preview_1.png) | ![preview 2](75/preview_2.png) | ![preview 3](75/preview_3.png) | ![preview 4](75/preview_4.png) | ![preview 5](75/preview_5.png) | ![preview 6](75/preview_6.png) | ![preview 7](75/preview_7.png) | ![preview 8](75/preview_8.png) | | 76 | 39 | [Download](76/dataset.zip) | ![preview 1](76/preview_1.png) | ![preview 2](76/preview_2.png) | ![preview 3](76/preview_3.png) | ![preview 4](76/preview_4.png) | ![preview 5](76/preview_5.png) | ![preview 6](76/preview_6.png) | ![preview 7](76/preview_7.png) | ![preview 8](76/preview_8.png) | | 77 | 433 | [Download](77/dataset.zip) | ![preview 1](77/preview_1.png) | ![preview 2](77/preview_2.png) | ![preview 3](77/preview_3.png) | ![preview 4](77/preview_4.png) | ![preview 5](77/preview_5.png) | ![preview 6](77/preview_6.png) | ![preview 7](77/preview_7.png) | ![preview 8](77/preview_8.png) | | 78 | 18 | [Download](78/dataset.zip) | ![preview 1](78/preview_1.png) | ![preview 2](78/preview_2.png) | ![preview 3](78/preview_3.png) | ![preview 4](78/preview_4.png) | ![preview 5](78/preview_5.png) | ![preview 6](78/preview_6.png) | ![preview 7](78/preview_7.png) | ![preview 8](78/preview_8.png) | | 79 | 12 | [Download](79/dataset.zip) | ![preview 1](79/preview_1.png) | ![preview 2](79/preview_2.png) | ![preview 3](79/preview_3.png) | ![preview 4](79/preview_4.png) | ![preview 5](79/preview_5.png) | ![preview 6](79/preview_6.png) | ![preview 7](79/preview_7.png) | ![preview 8](79/preview_8.png) | | 80 | 18 | [Download](80/dataset.zip) | ![preview 1](80/preview_1.png) | ![preview 2](80/preview_2.png) | ![preview 3](80/preview_3.png) | ![preview 4](80/preview_4.png) | ![preview 5](80/preview_5.png) | ![preview 6](80/preview_6.png) | ![preview 7](80/preview_7.png) | ![preview 8](80/preview_8.png) | | 81 | 146 | [Download](81/dataset.zip) | ![preview 1](81/preview_1.png) | ![preview 2](81/preview_2.png) | ![preview 3](81/preview_3.png) | ![preview 4](81/preview_4.png) | ![preview 5](81/preview_5.png) | ![preview 6](81/preview_6.png) | ![preview 7](81/preview_7.png) | ![preview 8](81/preview_8.png) | | 82 | 19 | [Download](82/dataset.zip) | ![preview 1](82/preview_1.png) | ![preview 2](82/preview_2.png) | ![preview 3](82/preview_3.png) | ![preview 4](82/preview_4.png) | ![preview 5](82/preview_5.png) | ![preview 6](82/preview_6.png) | ![preview 7](82/preview_7.png) | ![preview 8](82/preview_8.png) | | 83 | 72 | [Download](83/dataset.zip) | ![preview 1](83/preview_1.png) | ![preview 2](83/preview_2.png) | ![preview 3](83/preview_3.png) | ![preview 4](83/preview_4.png) | ![preview 5](83/preview_5.png) | ![preview 6](83/preview_6.png) | ![preview 7](83/preview_7.png) | ![preview 8](83/preview_8.png) | | 84 | 28 | [Download](84/dataset.zip) | ![preview 1](84/preview_1.png) | ![preview 2](84/preview_2.png) | ![preview 3](84/preview_3.png) | ![preview 4](84/preview_4.png) | ![preview 5](84/preview_5.png) | ![preview 6](84/preview_6.png) | ![preview 7](84/preview_7.png) | ![preview 8](84/preview_8.png) | | 85 | 29 | [Download](85/dataset.zip) | ![preview 1](85/preview_1.png) | ![preview 2](85/preview_2.png) | ![preview 3](85/preview_3.png) | ![preview 4](85/preview_4.png) | ![preview 5](85/preview_5.png) | ![preview 6](85/preview_6.png) | ![preview 7](85/preview_7.png) | ![preview 8](85/preview_8.png) | | 86 | 48 | [Download](86/dataset.zip) | ![preview 1](86/preview_1.png) | ![preview 2](86/preview_2.png) | ![preview 3](86/preview_3.png) | ![preview 4](86/preview_4.png) | ![preview 5](86/preview_5.png) | ![preview 6](86/preview_6.png) | ![preview 7](86/preview_7.png) | ![preview 8](86/preview_8.png) | | 87 | 176 | [Download](87/dataset.zip) | ![preview 1](87/preview_1.png) | ![preview 2](87/preview_2.png) | ![preview 3](87/preview_3.png) | ![preview 4](87/preview_4.png) | ![preview 5](87/preview_5.png) | ![preview 6](87/preview_6.png) | ![preview 7](87/preview_7.png) | ![preview 8](87/preview_8.png) | | 88 | 63 | [Download](88/dataset.zip) | ![preview 1](88/preview_1.png) | ![preview 2](88/preview_2.png) | ![preview 3](88/preview_3.png) | ![preview 4](88/preview_4.png) | ![preview 5](88/preview_5.png) | ![preview 6](88/preview_6.png) | ![preview 7](88/preview_7.png) | ![preview 8](88/preview_8.png) | | 89 | 38 | [Download](89/dataset.zip) | ![preview 1](89/preview_1.png) | ![preview 2](89/preview_2.png) | ![preview 3](89/preview_3.png) | ![preview 4](89/preview_4.png) | ![preview 5](89/preview_5.png) | ![preview 6](89/preview_6.png) | ![preview 7](89/preview_7.png) | ![preview 8](89/preview_8.png) | | 90 | 47 | [Download](90/dataset.zip) | ![preview 1](90/preview_1.png) | ![preview 2](90/preview_2.png) | ![preview 3](90/preview_3.png) | ![preview 4](90/preview_4.png) | ![preview 5](90/preview_5.png) | ![preview 6](90/preview_6.png) | ![preview 7](90/preview_7.png) | ![preview 8](90/preview_8.png) | | 91 | 87 | [Download](91/dataset.zip) | ![preview 1](91/preview_1.png) | ![preview 2](91/preview_2.png) | ![preview 3](91/preview_3.png) | ![preview 4](91/preview_4.png) | ![preview 5](91/preview_5.png) | ![preview 6](91/preview_6.png) | ![preview 7](91/preview_7.png) | ![preview 8](91/preview_8.png) | | 92 | 33 | [Download](92/dataset.zip) | ![preview 1](92/preview_1.png) | ![preview 2](92/preview_2.png) | ![preview 3](92/preview_3.png) | ![preview 4](92/preview_4.png) | ![preview 5](92/preview_5.png) | ![preview 6](92/preview_6.png) | ![preview 7](92/preview_7.png) | ![preview 8](92/preview_8.png) | | 93 | 43 | [Download](93/dataset.zip) | ![preview 1](93/preview_1.png) | ![preview 2](93/preview_2.png) | ![preview 3](93/preview_3.png) | ![preview 4](93/preview_4.png) | ![preview 5](93/preview_5.png) | ![preview 6](93/preview_6.png) | ![preview 7](93/preview_7.png) | ![preview 8](93/preview_8.png) | | 94 | 63 | [Download](94/dataset.zip) | ![preview 1](94/preview_1.png) | ![preview 2](94/preview_2.png) | ![preview 3](94/preview_3.png) | ![preview 4](94/preview_4.png) | ![preview 5](94/preview_5.png) | ![preview 6](94/preview_6.png) | ![preview 7](94/preview_7.png) | ![preview 8](94/preview_8.png) | | 95 | 238 | [Download](95/dataset.zip) | ![preview 1](95/preview_1.png) | ![preview 2](95/preview_2.png) | ![preview 3](95/preview_3.png) | ![preview 4](95/preview_4.png) | ![preview 5](95/preview_5.png) | ![preview 6](95/preview_6.png) | ![preview 7](95/preview_7.png) | ![preview 8](95/preview_8.png) | | 96 | 30 | [Download](96/dataset.zip) | ![preview 1](96/preview_1.png) | ![preview 2](96/preview_2.png) | ![preview 3](96/preview_3.png) | ![preview 4](96/preview_4.png) | ![preview 5](96/preview_5.png) | ![preview 6](96/preview_6.png) | ![preview 7](96/preview_7.png) | ![preview 8](96/preview_8.png) | | 97 | 47 | [Download](97/dataset.zip) | ![preview 1](97/preview_1.png) | ![preview 2](97/preview_2.png) | ![preview 3](97/preview_3.png) | ![preview 4](97/preview_4.png) | ![preview 5](97/preview_5.png) | ![preview 6](97/preview_6.png) | ![preview 7](97/preview_7.png) | ![preview 8](97/preview_8.png) | | 98 | 36 | [Download](98/dataset.zip) | ![preview 1](98/preview_1.png) | ![preview 2](98/preview_2.png) | ![preview 3](98/preview_3.png) | ![preview 4](98/preview_4.png) | ![preview 5](98/preview_5.png) | ![preview 6](98/preview_6.png) | ![preview 7](98/preview_7.png) | ![preview 8](98/preview_8.png) | | 99 | 36 | [Download](99/dataset.zip) | ![preview 1](99/preview_1.png) | ![preview 2](99/preview_2.png) | ![preview 3](99/preview_3.png) | ![preview 4](99/preview_4.png) | ![preview 5](99/preview_5.png) | ![preview 6](99/preview_6.png) | ![preview 7](99/preview_7.png) | ![preview 8](99/preview_8.png) | | 100 | 26 | [Download](100/dataset.zip) | ![preview 1](100/preview_1.png) | ![preview 2](100/preview_2.png) | ![preview 3](100/preview_3.png) | ![preview 4](100/preview_4.png) | ![preview 5](100/preview_5.png) | ![preview 6](100/preview_6.png) | ![preview 7](100/preview_7.png) | ![preview 8](100/preview_8.png) | | 101 | 32 | [Download](101/dataset.zip) | ![preview 1](101/preview_1.png) | ![preview 2](101/preview_2.png) | ![preview 3](101/preview_3.png) | ![preview 4](101/preview_4.png) | ![preview 5](101/preview_5.png) | ![preview 6](101/preview_6.png) | ![preview 7](101/preview_7.png) | ![preview 8](101/preview_8.png) | | 102 | 23 | [Download](102/dataset.zip) | ![preview 1](102/preview_1.png) | ![preview 2](102/preview_2.png) | ![preview 3](102/preview_3.png) | ![preview 4](102/preview_4.png) | ![preview 5](102/preview_5.png) | ![preview 6](102/preview_6.png) | ![preview 7](102/preview_7.png) | ![preview 8](102/preview_8.png) | | 103 | 22 | [Download](103/dataset.zip) | ![preview 1](103/preview_1.png) | ![preview 2](103/preview_2.png) | ![preview 3](103/preview_3.png) | ![preview 4](103/preview_4.png) | ![preview 5](103/preview_5.png) | ![preview 6](103/preview_6.png) | ![preview 7](103/preview_7.png) | ![preview 8](103/preview_8.png) | | 104 | 31 | [Download](104/dataset.zip) | ![preview 1](104/preview_1.png) | ![preview 2](104/preview_2.png) | ![preview 3](104/preview_3.png) | ![preview 4](104/preview_4.png) | ![preview 5](104/preview_5.png) | ![preview 6](104/preview_6.png) | ![preview 7](104/preview_7.png) | ![preview 8](104/preview_8.png) | | 105 | 208 | [Download](105/dataset.zip) | ![preview 1](105/preview_1.png) | ![preview 2](105/preview_2.png) | ![preview 3](105/preview_3.png) | ![preview 4](105/preview_4.png) | ![preview 5](105/preview_5.png) | ![preview 6](105/preview_6.png) | ![preview 7](105/preview_7.png) | ![preview 8](105/preview_8.png) | | 106 | 15 | [Download](106/dataset.zip) | ![preview 1](106/preview_1.png) | ![preview 2](106/preview_2.png) | ![preview 3](106/preview_3.png) | ![preview 4](106/preview_4.png) | ![preview 5](106/preview_5.png) | ![preview 6](106/preview_6.png) | ![preview 7](106/preview_7.png) | ![preview 8](106/preview_8.png) | | 107 | 48 | [Download](107/dataset.zip) | ![preview 1](107/preview_1.png) | ![preview 2](107/preview_2.png) | ![preview 3](107/preview_3.png) | ![preview 4](107/preview_4.png) | ![preview 5](107/preview_5.png) | ![preview 6](107/preview_6.png) | ![preview 7](107/preview_7.png) | ![preview 8](107/preview_8.png) | | 108 | 18 | [Download](108/dataset.zip) | ![preview 1](108/preview_1.png) | ![preview 2](108/preview_2.png) | ![preview 3](108/preview_3.png) | ![preview 4](108/preview_4.png) | ![preview 5](108/preview_5.png) | ![preview 6](108/preview_6.png) | ![preview 7](108/preview_7.png) | ![preview 8](108/preview_8.png) | | 109 | 70 | [Download](109/dataset.zip) | ![preview 1](109/preview_1.png) | ![preview 2](109/preview_2.png) | ![preview 3](109/preview_3.png) | ![preview 4](109/preview_4.png) | ![preview 5](109/preview_5.png) | ![preview 6](109/preview_6.png) | ![preview 7](109/preview_7.png) | ![preview 8](109/preview_8.png) | | 110 | 50 | [Download](110/dataset.zip) | ![preview 1](110/preview_1.png) | ![preview 2](110/preview_2.png) | ![preview 3](110/preview_3.png) | ![preview 4](110/preview_4.png) | ![preview 5](110/preview_5.png) | ![preview 6](110/preview_6.png) | ![preview 7](110/preview_7.png) | ![preview 8](110/preview_8.png) | | 111 | 21 | [Download](111/dataset.zip) | ![preview 1](111/preview_1.png) | ![preview 2](111/preview_2.png) | ![preview 3](111/preview_3.png) | ![preview 4](111/preview_4.png) | ![preview 5](111/preview_5.png) | ![preview 6](111/preview_6.png) | ![preview 7](111/preview_7.png) | ![preview 8](111/preview_8.png) | | 112 | 9 | [Download](112/dataset.zip) | ![preview 1](112/preview_1.png) | ![preview 2](112/preview_2.png) | ![preview 3](112/preview_3.png) | ![preview 4](112/preview_4.png) | ![preview 5](112/preview_5.png) | ![preview 6](112/preview_6.png) | ![preview 7](112/preview_7.png) | ![preview 8](112/preview_8.png) | | 113 | 70 | [Download](113/dataset.zip) | ![preview 1](113/preview_1.png) | ![preview 2](113/preview_2.png) | ![preview 3](113/preview_3.png) | ![preview 4](113/preview_4.png) | ![preview 5](113/preview_5.png) | ![preview 6](113/preview_6.png) | ![preview 7](113/preview_7.png) | ![preview 8](113/preview_8.png) | | 114 | 26 | [Download](114/dataset.zip) | ![preview 1](114/preview_1.png) | ![preview 2](114/preview_2.png) | ![preview 3](114/preview_3.png) | ![preview 4](114/preview_4.png) | ![preview 5](114/preview_5.png) | ![preview 6](114/preview_6.png) | ![preview 7](114/preview_7.png) | ![preview 8](114/preview_8.png) | | 115 | 23 | [Download](115/dataset.zip) | ![preview 1](115/preview_1.png) | ![preview 2](115/preview_2.png) | ![preview 3](115/preview_3.png) | ![preview 4](115/preview_4.png) | ![preview 5](115/preview_5.png) | ![preview 6](115/preview_6.png) | ![preview 7](115/preview_7.png) | ![preview 8](115/preview_8.png) | | 116 | 21 | [Download](116/dataset.zip) | ![preview 1](116/preview_1.png) | ![preview 2](116/preview_2.png) | ![preview 3](116/preview_3.png) | ![preview 4](116/preview_4.png) | ![preview 5](116/preview_5.png) | ![preview 6](116/preview_6.png) | ![preview 7](116/preview_7.png) | ![preview 8](116/preview_8.png) | | 117 | 27 | [Download](117/dataset.zip) | ![preview 1](117/preview_1.png) | ![preview 2](117/preview_2.png) | ![preview 3](117/preview_3.png) | ![preview 4](117/preview_4.png) | ![preview 5](117/preview_5.png) | ![preview 6](117/preview_6.png) | ![preview 7](117/preview_7.png) | ![preview 8](117/preview_8.png) | | 118 | 17 | [Download](118/dataset.zip) | ![preview 1](118/preview_1.png) | ![preview 2](118/preview_2.png) | ![preview 3](118/preview_3.png) | ![preview 4](118/preview_4.png) | ![preview 5](118/preview_5.png) | ![preview 6](118/preview_6.png) | ![preview 7](118/preview_7.png) | ![preview 8](118/preview_8.png) | | 119 | 368 | [Download](119/dataset.zip) | ![preview 1](119/preview_1.png) | ![preview 2](119/preview_2.png) | ![preview 3](119/preview_3.png) | ![preview 4](119/preview_4.png) | ![preview 5](119/preview_5.png) | ![preview 6](119/preview_6.png) | ![preview 7](119/preview_7.png) | ![preview 8](119/preview_8.png) | | 120 | 16 | [Download](120/dataset.zip) | ![preview 1](120/preview_1.png) | ![preview 2](120/preview_2.png) | ![preview 3](120/preview_3.png) | ![preview 4](120/preview_4.png) | ![preview 5](120/preview_5.png) | ![preview 6](120/preview_6.png) | ![preview 7](120/preview_7.png) | ![preview 8](120/preview_8.png) | | 121 | 43 | [Download](121/dataset.zip) | ![preview 1](121/preview_1.png) | ![preview 2](121/preview_2.png) | ![preview 3](121/preview_3.png) | ![preview 4](121/preview_4.png) | ![preview 5](121/preview_5.png) | ![preview 6](121/preview_6.png) | ![preview 7](121/preview_7.png) | ![preview 8](121/preview_8.png) | | 122 | 30 | [Download](122/dataset.zip) | ![preview 1](122/preview_1.png) | ![preview 2](122/preview_2.png) | ![preview 3](122/preview_3.png) | ![preview 4](122/preview_4.png) | ![preview 5](122/preview_5.png) | ![preview 6](122/preview_6.png) | ![preview 7](122/preview_7.png) | ![preview 8](122/preview_8.png) | | 123 | 25 | [Download](123/dataset.zip) | ![preview 1](123/preview_1.png) | ![preview 2](123/preview_2.png) | ![preview 3](123/preview_3.png) | ![preview 4](123/preview_4.png) | ![preview 5](123/preview_5.png) | ![preview 6](123/preview_6.png) | ![preview 7](123/preview_7.png) | ![preview 8](123/preview_8.png) | | 124 | 38 | [Download](124/dataset.zip) | ![preview 1](124/preview_1.png) | ![preview 2](124/preview_2.png) | ![preview 3](124/preview_3.png) | ![preview 4](124/preview_4.png) | ![preview 5](124/preview_5.png) | ![preview 6](124/preview_6.png) | ![preview 7](124/preview_7.png) | ![preview 8](124/preview_8.png) | | 125 | 42 | [Download](125/dataset.zip) | ![preview 1](125/preview_1.png) | ![preview 2](125/preview_2.png) | ![preview 3](125/preview_3.png) | ![preview 4](125/preview_4.png) | ![preview 5](125/preview_5.png) | ![preview 6](125/preview_6.png) | ![preview 7](125/preview_7.png) | ![preview 8](125/preview_8.png) | | 126 | 29 | [Download](126/dataset.zip) | ![preview 1](126/preview_1.png) | ![preview 2](126/preview_2.png) | ![preview 3](126/preview_3.png) | ![preview 4](126/preview_4.png) | ![preview 5](126/preview_5.png) | ![preview 6](126/preview_6.png) | ![preview 7](126/preview_7.png) | ![preview 8](126/preview_8.png) | | 127 | 10 | [Download](127/dataset.zip) | ![preview 1](127/preview_1.png) | ![preview 2](127/preview_2.png) | ![preview 3](127/preview_3.png) | ![preview 4](127/preview_4.png) | ![preview 5](127/preview_5.png) | ![preview 6](127/preview_6.png) | ![preview 7](127/preview_7.png) | ![preview 8](127/preview_8.png) | | 128 | 23 | [Download](128/dataset.zip) | ![preview 1](128/preview_1.png) | ![preview 2](128/preview_2.png) | ![preview 3](128/preview_3.png) | ![preview 4](128/preview_4.png) | ![preview 5](128/preview_5.png) | ![preview 6](128/preview_6.png) | ![preview 7](128/preview_7.png) | ![preview 8](128/preview_8.png) | | 129 | 9 | [Download](129/dataset.zip) | ![preview 1](129/preview_1.png) | ![preview 2](129/preview_2.png) | ![preview 3](129/preview_3.png) | ![preview 4](129/preview_4.png) | ![preview 5](129/preview_5.png) | ![preview 6](129/preview_6.png) | ![preview 7](129/preview_7.png) | ![preview 8](129/preview_8.png) | | 130 | 13 | [Download](130/dataset.zip) | ![preview 1](130/preview_1.png) | ![preview 2](130/preview_2.png) | ![preview 3](130/preview_3.png) | ![preview 4](130/preview_4.png) | ![preview 5](130/preview_5.png) | ![preview 6](130/preview_6.png) | ![preview 7](130/preview_7.png) | ![preview 8](130/preview_8.png) | | 131 | 10 | [Download](131/dataset.zip) | ![preview 1](131/preview_1.png) | ![preview 2](131/preview_2.png) | ![preview 3](131/preview_3.png) | ![preview 4](131/preview_4.png) | ![preview 5](131/preview_5.png) | ![preview 6](131/preview_6.png) | ![preview 7](131/preview_7.png) | ![preview 8](131/preview_8.png) | | 132 | 16 | [Download](132/dataset.zip) | ![preview 1](132/preview_1.png) | ![preview 2](132/preview_2.png) | ![preview 3](132/preview_3.png) | ![preview 4](132/preview_4.png) | ![preview 5](132/preview_5.png) | ![preview 6](132/preview_6.png) | ![preview 7](132/preview_7.png) | ![preview 8](132/preview_8.png) | | 133 | 23 | [Download](133/dataset.zip) | ![preview 1](133/preview_1.png) | ![preview 2](133/preview_2.png) | ![preview 3](133/preview_3.png) | ![preview 4](133/preview_4.png) | ![preview 5](133/preview_5.png) | ![preview 6](133/preview_6.png) | ![preview 7](133/preview_7.png) | ![preview 8](133/preview_8.png) | | 134 | 10 | [Download](134/dataset.zip) | ![preview 1](134/preview_1.png) | ![preview 2](134/preview_2.png) | ![preview 3](134/preview_3.png) | ![preview 4](134/preview_4.png) | ![preview 5](134/preview_5.png) | ![preview 6](134/preview_6.png) | ![preview 7](134/preview_7.png) | ![preview 8](134/preview_8.png) | | 135 | 9 | [Download](135/dataset.zip) | ![preview 1](135/preview_1.png) | ![preview 2](135/preview_2.png) | ![preview 3](135/preview_3.png) | ![preview 4](135/preview_4.png) | ![preview 5](135/preview_5.png) | ![preview 6](135/preview_6.png) | ![preview 7](135/preview_7.png) | ![preview 8](135/preview_8.png) | | noise | 382 | [Download](-1/dataset.zip) | ![preview 1](-1/preview_1.png) | ![preview 2](-1/preview_2.png) | ![preview 3](-1/preview_3.png) | ![preview 4](-1/preview_4.png) | ![preview 5](-1/preview_5.png) | ![preview 6](-1/preview_6.png) | ![preview 7](-1/preview_7.png) | ![preview 8](-1/preview_8.png) |
BangumiBase/jojonokimyounabouken
[ "size_categories:10K<n<100K", "license:mit", "art", "region:us" ]
2023-10-07T03:30:10+00:00
{"license": "mit", "size_categories": ["10K<n<100K"], "tags": ["art"]}
2023-10-07T12:24:52+00:00
[]
[]
TAGS #size_categories-10K<n<100K #license-mit #art #region-us
Bangumi Image Base of Jojo No Kimyou Na Bouken ============================================== This is the image base of bangumi JoJo no Kimyou na Bouken, we detected 137 characters, 14828 images in total. The full dataset is here. Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview:
[]
[ "TAGS\n#size_categories-10K<n<100K #license-mit #art #region-us \n" ]
[ 25 ]
[ "passage: TAGS\n#size_categories-10K<n<100K #license-mit #art #region-us \n" ]
55dcfb825e72064b198c8f1e0953a37e7398626a
# Dataset Card for "polity_test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
nnngoc/polity_test
[ "region:us" ]
2023-10-07T03:49:16+00:00
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 190555, "num_examples": 121}], "download_size": 72417, "dataset_size": 190555}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T03:49:18+00:00
[]
[]
TAGS #region-us
# Dataset Card for "polity_test" More Information needed
[ "# Dataset Card for \"polity_test\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"polity_test\"\n\nMore Information needed" ]
[ 6, 14 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"polity_test\"\n\nMore Information needed" ]
37d57b8538d0e400ce61e2947894ae8f0924253b
# Bangumi Image Base of Naruto [movies] This is the image base of bangumi NARUTO [Movies], we detected 37 characters, 3111 images in total. The full dataset is [here](all.zip). **Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: | # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 | |:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------| | 0 | 1040 | [Download](0/dataset.zip) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 44 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 34 | [Download](2/dataset.zip) | ![preview 1](2/preview_1.png) | ![preview 2](2/preview_2.png) | ![preview 3](2/preview_3.png) | ![preview 4](2/preview_4.png) | ![preview 5](2/preview_5.png) | ![preview 6](2/preview_6.png) | ![preview 7](2/preview_7.png) | ![preview 8](2/preview_8.png) | | 3 | 40 | [Download](3/dataset.zip) | ![preview 1](3/preview_1.png) | ![preview 2](3/preview_2.png) | ![preview 3](3/preview_3.png) | ![preview 4](3/preview_4.png) | ![preview 5](3/preview_5.png) | ![preview 6](3/preview_6.png) | ![preview 7](3/preview_7.png) | ![preview 8](3/preview_8.png) | | 4 | 90 | [Download](4/dataset.zip) | ![preview 1](4/preview_1.png) | ![preview 2](4/preview_2.png) | ![preview 3](4/preview_3.png) | ![preview 4](4/preview_4.png) | ![preview 5](4/preview_5.png) | ![preview 6](4/preview_6.png) | ![preview 7](4/preview_7.png) | ![preview 8](4/preview_8.png) | | 5 | 120 | [Download](5/dataset.zip) | ![preview 1](5/preview_1.png) | ![preview 2](5/preview_2.png) | ![preview 3](5/preview_3.png) | ![preview 4](5/preview_4.png) | ![preview 5](5/preview_5.png) | ![preview 6](5/preview_6.png) | ![preview 7](5/preview_7.png) | ![preview 8](5/preview_8.png) | | 6 | 49 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 107 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 19 | [Download](8/dataset.zip) | ![preview 1](8/preview_1.png) | ![preview 2](8/preview_2.png) | ![preview 3](8/preview_3.png) | ![preview 4](8/preview_4.png) | ![preview 5](8/preview_5.png) | ![preview 6](8/preview_6.png) | ![preview 7](8/preview_7.png) | ![preview 8](8/preview_8.png) | | 9 | 72 | [Download](9/dataset.zip) | ![preview 1](9/preview_1.png) | ![preview 2](9/preview_2.png) | ![preview 3](9/preview_3.png) | ![preview 4](9/preview_4.png) | ![preview 5](9/preview_5.png) | ![preview 6](9/preview_6.png) | ![preview 7](9/preview_7.png) | ![preview 8](9/preview_8.png) | | 10 | 75 | [Download](10/dataset.zip) | ![preview 1](10/preview_1.png) | ![preview 2](10/preview_2.png) | ![preview 3](10/preview_3.png) | ![preview 4](10/preview_4.png) | ![preview 5](10/preview_5.png) | ![preview 6](10/preview_6.png) | ![preview 7](10/preview_7.png) | ![preview 8](10/preview_8.png) | | 11 | 86 | [Download](11/dataset.zip) | ![preview 1](11/preview_1.png) | ![preview 2](11/preview_2.png) | ![preview 3](11/preview_3.png) | ![preview 4](11/preview_4.png) | ![preview 5](11/preview_5.png) | ![preview 6](11/preview_6.png) | ![preview 7](11/preview_7.png) | ![preview 8](11/preview_8.png) | | 12 | 37 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | 13 | 35 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 75 | [Download](14/dataset.zip) | ![preview 1](14/preview_1.png) | ![preview 2](14/preview_2.png) | ![preview 3](14/preview_3.png) | ![preview 4](14/preview_4.png) | ![preview 5](14/preview_5.png) | ![preview 6](14/preview_6.png) | ![preview 7](14/preview_7.png) | ![preview 8](14/preview_8.png) | | 15 | 115 | [Download](15/dataset.zip) | ![preview 1](15/preview_1.png) | ![preview 2](15/preview_2.png) | ![preview 3](15/preview_3.png) | ![preview 4](15/preview_4.png) | ![preview 5](15/preview_5.png) | ![preview 6](15/preview_6.png) | ![preview 7](15/preview_7.png) | ![preview 8](15/preview_8.png) | | 16 | 23 | [Download](16/dataset.zip) | ![preview 1](16/preview_1.png) | ![preview 2](16/preview_2.png) | ![preview 3](16/preview_3.png) | ![preview 4](16/preview_4.png) | ![preview 5](16/preview_5.png) | ![preview 6](16/preview_6.png) | ![preview 7](16/preview_7.png) | ![preview 8](16/preview_8.png) | | 17 | 44 | [Download](17/dataset.zip) | ![preview 1](17/preview_1.png) | ![preview 2](17/preview_2.png) | ![preview 3](17/preview_3.png) | ![preview 4](17/preview_4.png) | ![preview 5](17/preview_5.png) | ![preview 6](17/preview_6.png) | ![preview 7](17/preview_7.png) | ![preview 8](17/preview_8.png) | | 18 | 38 | [Download](18/dataset.zip) | ![preview 1](18/preview_1.png) | ![preview 2](18/preview_2.png) | ![preview 3](18/preview_3.png) | ![preview 4](18/preview_4.png) | ![preview 5](18/preview_5.png) | ![preview 6](18/preview_6.png) | ![preview 7](18/preview_7.png) | ![preview 8](18/preview_8.png) | | 19 | 68 | [Download](19/dataset.zip) | ![preview 1](19/preview_1.png) | ![preview 2](19/preview_2.png) | ![preview 3](19/preview_3.png) | ![preview 4](19/preview_4.png) | ![preview 5](19/preview_5.png) | ![preview 6](19/preview_6.png) | ![preview 7](19/preview_7.png) | ![preview 8](19/preview_8.png) | | 20 | 158 | [Download](20/dataset.zip) | ![preview 1](20/preview_1.png) | ![preview 2](20/preview_2.png) | ![preview 3](20/preview_3.png) | ![preview 4](20/preview_4.png) | ![preview 5](20/preview_5.png) | ![preview 6](20/preview_6.png) | ![preview 7](20/preview_7.png) | ![preview 8](20/preview_8.png) | | 21 | 19 | [Download](21/dataset.zip) | ![preview 1](21/preview_1.png) | ![preview 2](21/preview_2.png) | ![preview 3](21/preview_3.png) | ![preview 4](21/preview_4.png) | ![preview 5](21/preview_5.png) | ![preview 6](21/preview_6.png) | ![preview 7](21/preview_7.png) | ![preview 8](21/preview_8.png) | | 22 | 45 | [Download](22/dataset.zip) | ![preview 1](22/preview_1.png) | ![preview 2](22/preview_2.png) | ![preview 3](22/preview_3.png) | ![preview 4](22/preview_4.png) | ![preview 5](22/preview_5.png) | ![preview 6](22/preview_6.png) | ![preview 7](22/preview_7.png) | ![preview 8](22/preview_8.png) | | 23 | 45 | [Download](23/dataset.zip) | ![preview 1](23/preview_1.png) | ![preview 2](23/preview_2.png) | ![preview 3](23/preview_3.png) | ![preview 4](23/preview_4.png) | ![preview 5](23/preview_5.png) | ![preview 6](23/preview_6.png) | ![preview 7](23/preview_7.png) | ![preview 8](23/preview_8.png) | | 24 | 247 | [Download](24/dataset.zip) | ![preview 1](24/preview_1.png) | ![preview 2](24/preview_2.png) | ![preview 3](24/preview_3.png) | ![preview 4](24/preview_4.png) | ![preview 5](24/preview_5.png) | ![preview 6](24/preview_6.png) | ![preview 7](24/preview_7.png) | ![preview 8](24/preview_8.png) | | 25 | 18 | [Download](25/dataset.zip) | ![preview 1](25/preview_1.png) | ![preview 2](25/preview_2.png) | ![preview 3](25/preview_3.png) | ![preview 4](25/preview_4.png) | ![preview 5](25/preview_5.png) | ![preview 6](25/preview_6.png) | ![preview 7](25/preview_7.png) | ![preview 8](25/preview_8.png) | | 26 | 9 | [Download](26/dataset.zip) | ![preview 1](26/preview_1.png) | ![preview 2](26/preview_2.png) | ![preview 3](26/preview_3.png) | ![preview 4](26/preview_4.png) | ![preview 5](26/preview_5.png) | ![preview 6](26/preview_6.png) | ![preview 7](26/preview_7.png) | ![preview 8](26/preview_8.png) | | 27 | 15 | [Download](27/dataset.zip) | ![preview 1](27/preview_1.png) | ![preview 2](27/preview_2.png) | ![preview 3](27/preview_3.png) | ![preview 4](27/preview_4.png) | ![preview 5](27/preview_5.png) | ![preview 6](27/preview_6.png) | ![preview 7](27/preview_7.png) | ![preview 8](27/preview_8.png) | | 28 | 11 | [Download](28/dataset.zip) | ![preview 1](28/preview_1.png) | ![preview 2](28/preview_2.png) | ![preview 3](28/preview_3.png) | ![preview 4](28/preview_4.png) | ![preview 5](28/preview_5.png) | ![preview 6](28/preview_6.png) | ![preview 7](28/preview_7.png) | ![preview 8](28/preview_8.png) | | 29 | 6 | [Download](29/dataset.zip) | ![preview 1](29/preview_1.png) | ![preview 2](29/preview_2.png) | ![preview 3](29/preview_3.png) | ![preview 4](29/preview_4.png) | ![preview 5](29/preview_5.png) | ![preview 6](29/preview_6.png) | N/A | N/A | | 30 | 60 | [Download](30/dataset.zip) | ![preview 1](30/preview_1.png) | ![preview 2](30/preview_2.png) | ![preview 3](30/preview_3.png) | ![preview 4](30/preview_4.png) | ![preview 5](30/preview_5.png) | ![preview 6](30/preview_6.png) | ![preview 7](30/preview_7.png) | ![preview 8](30/preview_8.png) | | 31 | 87 | [Download](31/dataset.zip) | ![preview 1](31/preview_1.png) | ![preview 2](31/preview_2.png) | ![preview 3](31/preview_3.png) | ![preview 4](31/preview_4.png) | ![preview 5](31/preview_5.png) | ![preview 6](31/preview_6.png) | ![preview 7](31/preview_7.png) | ![preview 8](31/preview_8.png) | | 32 | 11 | [Download](32/dataset.zip) | ![preview 1](32/preview_1.png) | ![preview 2](32/preview_2.png) | ![preview 3](32/preview_3.png) | ![preview 4](32/preview_4.png) | ![preview 5](32/preview_5.png) | ![preview 6](32/preview_6.png) | ![preview 7](32/preview_7.png) | ![preview 8](32/preview_8.png) | | 33 | 35 | [Download](33/dataset.zip) | ![preview 1](33/preview_1.png) | ![preview 2](33/preview_2.png) | ![preview 3](33/preview_3.png) | ![preview 4](33/preview_4.png) | ![preview 5](33/preview_5.png) | ![preview 6](33/preview_6.png) | ![preview 7](33/preview_7.png) | ![preview 8](33/preview_8.png) | | 34 | 16 | [Download](34/dataset.zip) | ![preview 1](34/preview_1.png) | ![preview 2](34/preview_2.png) | ![preview 3](34/preview_3.png) | ![preview 4](34/preview_4.png) | ![preview 5](34/preview_5.png) | ![preview 6](34/preview_6.png) | ![preview 7](34/preview_7.png) | ![preview 8](34/preview_8.png) | | 35 | 7 | [Download](35/dataset.zip) | ![preview 1](35/preview_1.png) | ![preview 2](35/preview_2.png) | ![preview 3](35/preview_3.png) | ![preview 4](35/preview_4.png) | ![preview 5](35/preview_5.png) | ![preview 6](35/preview_6.png) | ![preview 7](35/preview_7.png) | N/A | | noise | 111 | [Download](-1/dataset.zip) | ![preview 1](-1/preview_1.png) | ![preview 2](-1/preview_2.png) | ![preview 3](-1/preview_3.png) | ![preview 4](-1/preview_4.png) | ![preview 5](-1/preview_5.png) | ![preview 6](-1/preview_6.png) | ![preview 7](-1/preview_7.png) | ![preview 8](-1/preview_8.png) |
BangumiBase/narutomovies
[ "size_categories:1K<n<10K", "license:mit", "art", "region:us" ]
2023-10-07T04:03:10+00:00
{"license": "mit", "size_categories": ["1K<n<10K"], "tags": ["art"]}
2023-10-07T05:32:17+00:00
[]
[]
TAGS #size_categories-1K<n<10K #license-mit #art #region-us
Bangumi Image Base of Naruto [movies] ===================================== This is the image base of bangumi NARUTO [Movies], we detected 37 characters, 3111 images in total. The full dataset is here. Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview:
[]
[ "TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n" ]
[ 25 ]
[ "passage: TAGS\n#size_categories-1K<n<10K #license-mit #art #region-us \n" ]
d55477c38ee3e3bbd30903dfbfefcce3f4eb6b20
# Dataset Card for "Long-Data-Collections-Pretrain-Without-Books" Paraquet version of the pretrain split of [togethercomputer/Long-Data-Collections](https://huggingface.co/datasets/togethercomputer/Long-Data-Collections) WITHOUT books Statistics (in # of characters): `total_len: 236088622215, average_len: 25159.041601590307`
emozilla/Long-Data-Collections-Pretrain-Without-Books
[ "region:us" ]
2023-10-07T04:31:23+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 236565210292, "num_examples": 9383848}], "download_size": 25749677954, "dataset_size": 236565210292}}
2023-10-09T13:32:21+00:00
[]
[]
TAGS #region-us
# Dataset Card for "Long-Data-Collections-Pretrain-Without-Books" Paraquet version of the pretrain split of togethercomputer/Long-Data-Collections WITHOUT books Statistics (in # of characters): 'total_len: 236088622215, average_len: 25159.041601590307'
[ "# Dataset Card for \"Long-Data-Collections-Pretrain-Without-Books\"\n\nParaquet version of the pretrain split of togethercomputer/Long-Data-Collections WITHOUT books\n\nStatistics (in # of characters): 'total_len: 236088622215, average_len: 25159.041601590307'" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"Long-Data-Collections-Pretrain-Without-Books\"\n\nParaquet version of the pretrain split of togethercomputer/Long-Data-Collections WITHOUT books\n\nStatistics (in # of characters): 'total_len: 236088622215, average_len: 25159.041601590307'" ]
[ 6, 82 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"Long-Data-Collections-Pretrain-Without-Books\"\n\nParaquet version of the pretrain split of togethercomputer/Long-Data-Collections WITHOUT books\n\nStatistics (in # of characters): 'total_len: 236088622215, average_len: 25159.041601590307'" ]
a850817f1763638df83c0b3dc23c52b932892e57
# Google/MusicCapsをスペクトログラムにしたデータ。 * <font color="red">The dataset viwer of this repository is truncated, so maybe you should see <a href="https://huggingface.co/datasets/mb23/GraySpectrotram_example">this one</a> instaed.</font> ## Dataset information <table> <thead> <td>画像</td> <td>caption</td> <td>data_idx</td> <td>number</td> </thead> <tbody> <tr> <td>1025px × 216px</td> <td>音楽の説明</td> <td>どのデータから生成されたデータか</td> <td>5秒ずつ区切ったデータのうち、何番目か</td> </tr> </tbody> </table> ## How this dataset was made * コード:https://colab.research.google.com/drive/13m792FEoXszj72viZuBtusYRUL1z6Cu2?usp=sharing * 参考にしたKaggle Notebook : https://www.kaggle.com/code/osanseviero/musiccaps-explorer ```python from PIL import Image import IPython.display import cv2 # 1. wavファイルを解析 y, sr = librosa.load("wavファイルなど") # 2. フーリエ変換を適用して周波数成分を取得 D = librosa.amplitude_to_db(np.abs(librosa.stft(y)), ref=np.max) # librosaを用いてデータを作る image = Image.fromarray(np.uint8(D), mode='L') # 'L'は1チャンネルのグレースケールモードを指定します image.save('spectrogram_{}.png') ``` ## Recover music(wave form) from sprctrogram ```python im = Image.open("pngファイル") db_ud = np.uint8(np.array(im)) amp = librosa.db_to_amplitude(db_ud) print(amp.shape) # (1025, 861)は20秒のwavファイルをスペクトログラムにした場合 # (1025, 431)は10秒のwavファイルをスペクトログラムにした場合 # (1025, 216)は5秒のwavファイルをスペクトログラムにした場合 y_inv = librosa.griffinlim(amp*200) display(IPython.display.Audio(y_inv, rate=sr)) ``` ## Example : How to use this * <font color="red">Subset <b>data 1300-1600</b> and <b>data 3400-3600</b> are not working now, so please get subset_name_list</n> those were removed first</font>. ### 1 : get information about this dataset: * copy this code~~ ```python ''' if you use GoogleColab, remove # to install packages below.. ''' #!pip install datasets #!pip install huggingface-hub #!huggingface-cli login import datasets from datasets import load_dataset # make subset_name_list subset_name_list = [ 'data 0-200', 'data 200-600', 'data 600-1000', 'data 1000-1300', 'data 1600-2000', 'data 2000-2200', 'data 2200-2400', 'data 2400-2600', 'data 2600-2800', 'data 3000-3200', 'data 3200-3400', 'data 3600-3800', 'data 3800-4000', 'data 4000-4200', 'data 4200-4400', 'data 4400-4600', 'data 4600-4800', 'data 4800-5000', 'data 5000-5200', 'data 5200-5520' ] # load_all_datasets data = load_dataset("mb23/GraySpectrogram", subset_name_list[0]) for subset in subset_name_list: # Confirm subset_list doesn't include "remove_list" datasets in the above cell. print(subset) new_ds = load_dataset("mb23/GraySpectrogram", subset) new_dataset_train = datasets.concatenate_datasets([data["train"], new_ds["train"]]) new_dataset_test = datasets.concatenate_datasets([data["test"], new_ds["test"]]) # take place of data[split] data["train"] = new_dataset_train data["test"] = new_dataset_test data ``` ### 2 : load dataset and change to dataloader: * You can use the code below: * <font color="red">...but (;・∀・)I don't know whether this code works efficiently, because I haven't tried this code so far</color> ```python import datasets from datasets import load_dataset, DatasetDict from torchvision import transforms from torch.utils.data import DataLoader # BATCH_SIZE = ??? # IMAGE_SIZE = ??? # TRAIN_SIZE = ??? # the number of training data # TEST_SIZE = ??? # the number of test data def load_datasets(): # Define data transforms data_transforms = [ transforms.Resize((IMG_SIZE, IMG_SIZE)), transforms.ToTensor(), # Scales data into [0,1] transforms.Lambda(lambda t: (t * 2) - 1) # Scale between [-1, 1] ] data_transform = transforms.Compose(data_transforms) data = load_dataset("mb23/GraySpectrogram", subset_name_list[0]) for subset in subset_name_list: # Confirm subset_list doesn't include "remove_list" datasets in the above cell. print(subset) new_ds = load_dataset("mb23/GraySpectrogram", subset) new_dataset_train = datasets.concatenate_datasets([data["train"], new_ds["train"]]) new_dataset_test = datasets.concatenate_datasets([data["test"], new_ds["test"]]) # take place of data[split] data["train"] = new_dataset_train data["test"] = new_dataset_test # memo: # 特徴量上手く抽出する方法が...わからん。これは力づく。 # 本当はload_dataset()の時点で抽出したかったけど、無理そう # リポジトリ作り直してpush_to_hub()したほうがいいかもしれない。 new_dataset = dict() new_dataset["train"] = Dataset.from_dict({ "image" : data["train"]["image"], "caption" : data["train"]["caption"] }) new_dataset["test"] = Dataset.from_dict({ "image" : data["test"]["image"], "caption" : data["test"]["caption"] }) data = datasets.DatasetDict(new_dataset) train = data["train"] test = data["test"] for idx in range(len(train["image"])): train["image"][idx] = data_transform(train["image"][idx]) test["image"][idx] = data_transform(test["image"][idx]) train = Dataset.from_dict(train) train = train.with_format("torch") # リスト型回避 test = Dataset.from_dict(train) test = test.with_format("torch") # リスト型回避 # or train_loader = DataLoader(train, batch_size=BATCH_SIZE, shuffle=True, drop_last=True) test_loader = DataLoader(test, batch_size=BATCH_SIZE, shuffle=True, drop_last=True) return train_loader, test_loader ``` * then try this? ``` train_loader, test_loader = load_datasets() ```
mb23/GraySpectrogram
[ "size_categories:10K<n<100K", "language:en", "license:cc-by-sa-4.0", "music", "spectrogram", "region:us" ]
2023-10-07T04:47:09+00:00
{"language": ["en"], "license": "cc-by-sa-4.0", "size_categories": ["10K<n<100K"], "tags": ["music", "spectrogram"]}
2023-11-11T23:55:18+00:00
[]
[ "en" ]
TAGS #size_categories-10K<n<100K #language-English #license-cc-by-sa-4.0 #music #spectrogram #region-us
Google/MusicCapsをスペクトログラムにしたデータ。 ================================ * The dataset viwer of this repository is truncated, so maybe you should see <a href="URL one instaed. Dataset information ------------------- How this dataset was made ------------------------- * コード:URL * 参考にしたKaggle Notebook : URL Recover music(wave form) from sprctrogram ----------------------------------------- Example : How to use this ------------------------- * Subset **data 1300-1600** and **data 3400-3600** are not working now, so please get subset\_name\_list those were removed first. ### 1 : get information about this dataset: * copy this code~~ ### 2 : load dataset and change to dataloader: * You can use the code below: * ...but (;・∀・)I don't know whether this code works efficiently, because I haven't tried this code so far * then try this?
[ "### 1 : get information about this dataset:\n\n\n* copy this code~~", "### 2 : load dataset and change to dataloader:\n\n\n* You can use the code below:\n* ...but (;・∀・)I don't know whether this code works efficiently, because I haven't tried this code so far\n* then try this?" ]
[ "TAGS\n#size_categories-10K<n<100K #language-English #license-cc-by-sa-4.0 #music #spectrogram #region-us \n", "### 1 : get information about this dataset:\n\n\n* copy this code~~", "### 2 : load dataset and change to dataloader:\n\n\n* You can use the code below:\n* ...but (;・∀・)I don't know whether this code works efficiently, because I haven't tried this code so far\n* then try this?" ]
[ 39, 16, 58 ]
[ "passage: TAGS\n#size_categories-10K<n<100K #language-English #license-cc-by-sa-4.0 #music #spectrogram #region-us \n### 1 : get information about this dataset:\n\n\n* copy this code~~### 2 : load dataset and change to dataloader:\n\n\n* You can use the code below:\n* ...but (;・∀・)I don't know whether this code works efficiently, because I haven't tried this code so far\n* then try this?" ]
246a896b6b4db95184816301c32624a2e15fdecf
# Dataset Card for "chid" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
BBuf/chid
[ "region:us" ]
2023-10-07T05:33:01+00:00
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "candidates", "sequence": "string"}, {"name": "content", "dtype": "string"}, {"name": "answer", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 88466, "num_examples": 202}, {"name": "validation", "num_bytes": 87327, "num_examples": 202}], "download_size": 140651, "dataset_size": 175793}}
2023-10-07T05:33:11+00:00
[]
[]
TAGS #region-us
# Dataset Card for "chid" More Information needed
[ "# Dataset Card for \"chid\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"chid\"\n\nMore Information needed" ]
[ 6, 12 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"chid\"\n\nMore Information needed" ]
c559a8146204afc4375c4c0c1ea26c14a506ea4e
# Dataset Card for "common_voice_11_0-hi-whisper-small" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
CWKSC/common_voice_11_0-hi-whisper-small
[ "region:us" ]
2023-10-07T05:36:46+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 6283293032, "num_examples": 6540}, {"name": "test", "num_bytes": 2780330000, "num_examples": 2894}], "download_size": 0, "dataset_size": 9063623032}}
2023-10-07T05:44:04+00:00
[]
[]
TAGS #region-us
# Dataset Card for "common_voice_11_0-hi-whisper-small" More Information needed
[ "# Dataset Card for \"common_voice_11_0-hi-whisper-small\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"common_voice_11_0-hi-whisper-small\"\n\nMore Information needed" ]
[ 6, 28 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"common_voice_11_0-hi-whisper-small\"\n\nMore Information needed" ]
f3154a53a17e6ff3da6dd0672f2a02bb76e67618
# Dataset Card for "train_ds" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Sajjad-Sh33/train_ds
[ "region:us" ]
2023-10-07T05:38:39+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 7890021820.998, "num_examples": 49438}], "download_size": 483953994, "dataset_size": 7890021820.998}}
2023-10-07T09:01:02+00:00
[]
[]
TAGS #region-us
# Dataset Card for "train_ds" More Information needed
[ "# Dataset Card for \"train_ds\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"train_ds\"\n\nMore Information needed" ]
[ 6, 14 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"train_ds\"\n\nMore Information needed" ]
4a4e0591c630208176eb1cb71d5fd3a440481dba
6tb (5.6 tb) 130t. h. 800 sp
MrPrometheus/books
[ "license:mit", "region:us" ]
2023-10-07T05:42:53+00:00
{"license": "mit"}
2023-12-17T06:54:02+00:00
[]
[]
TAGS #license-mit #region-us
6tb (5.6 tb) 130t. h. 800 sp
[]
[ "TAGS\n#license-mit #region-us \n" ]
[ 11 ]
[ "passage: TAGS\n#license-mit #region-us \n" ]
6065603b3121b8cdd490dcd7a9e99644d030908f
# Dataset Card for "massive_val_DA3_tokenized" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
carnival13/massive_val_DA3_tokenized
[ "region:us" ]
2023-10-07T05:45:02+00:00
{"dataset_info": {"features": [{"name": "pass_label", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 16518310, "num_examples": 24160}], "download_size": 3772737, "dataset_size": 16518310}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T05:45:08+00:00
[]
[]
TAGS #region-us
# Dataset Card for "massive_val_DA3_tokenized" More Information needed
[ "# Dataset Card for \"massive_val_DA3_tokenized\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"massive_val_DA3_tokenized\"\n\nMore Information needed" ]
[ 6, 21 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"massive_val_DA3_tokenized\"\n\nMore Information needed" ]
c63aefca2a6e24fa6a90f69bfd428460f072bb4d
# Dataset Card for "massive_eng_DA2_tokenized" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
carnival13/massive_eng_DA2_tokenized
[ "region:us" ]
2023-10-07T05:47:21+00:00
{"dataset_info": {"features": [{"name": "pass_label", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 97253830, "num_examples": 138200}], "download_size": 22058126, "dataset_size": 97253830}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T05:47:31+00:00
[]
[]
TAGS #region-us
# Dataset Card for "massive_eng_DA2_tokenized" More Information needed
[ "# Dataset Card for \"massive_eng_DA2_tokenized\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"massive_eng_DA2_tokenized\"\n\nMore Information needed" ]
[ 6, 21 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"massive_eng_DA2_tokenized\"\n\nMore Information needed" ]
a0e292a5a53359018ccf057840e9ac886f5e7dd3
This 'text completion' dataset (originally in jsonl format) comprises the major prose works of Sri Aurobindo, the Indian philosopher, seer and poet, and his spiritual partner, Mirra Alfassa. The following works have been used: ### Sri Aurobindo: - Letters on Yoga 1, 2, 3, 4 - Letters on Himself and the Ashram - The Mother with Letters on the Mother - The Life Divine - The Synthesis of Yoga - The Renaissance in India - The Secret of the Veda - Essays Divine and Human - Essays on the Gita - Essays in Philosophy and Yoga - The Future Poetry - The Human Cycle - Isha Upanishad ### Mirra (the Mother's): - Questions and Answers (all volumes) - Prayers and Meditation - On Education - On Thoughts and Aphorisms - Words of the Mother (all volumes) The titles of books have been removed to reduce hallucinatory misquotes. We believe this dataset is useful to train AIs to converse on spiritual and philosophical topics, as Sri Aurobindo's writings relate a deep and complex spiritual philosophy to all areas of life and thought. Anyone interested in datasets by individual books (or in building 'spiritual AIs') - please message me at my Twitter account [@jared_quek](https://twitter.com/jared_quek).
Jaredquek/AuroMiraWorks
[ "task_categories:question-answering", "task_categories:conversational", "language:en", "license:mit", "philosophy", "religion", "spirituality", "occult", "indian philosophy", "hinduism", "region:us" ]
2023-10-07T06:11:33+00:00
{"language": ["en"], "license": "mit", "task_categories": ["question-answering", "conversational"], "tags": ["philosophy", "religion", "spirituality", "occult", "indian philosophy", "hinduism"]}
2023-10-07T06:35:47+00:00
[]
[ "en" ]
TAGS #task_categories-question-answering #task_categories-conversational #language-English #license-mit #philosophy #religion #spirituality #occult #indian philosophy #hinduism #region-us
This 'text completion' dataset (originally in jsonl format) comprises the major prose works of Sri Aurobindo, the Indian philosopher, seer and poet, and his spiritual partner, Mirra Alfassa. The following works have been used: ### Sri Aurobindo: - Letters on Yoga 1, 2, 3, 4 - Letters on Himself and the Ashram - The Mother with Letters on the Mother - The Life Divine - The Synthesis of Yoga - The Renaissance in India - The Secret of the Veda - Essays Divine and Human - Essays on the Gita - Essays in Philosophy and Yoga - The Future Poetry - The Human Cycle - Isha Upanishad ### Mirra (the Mother's): - Questions and Answers (all volumes) - Prayers and Meditation - On Education - On Thoughts and Aphorisms - Words of the Mother (all volumes) The titles of books have been removed to reduce hallucinatory misquotes. We believe this dataset is useful to train AIs to converse on spiritual and philosophical topics, as Sri Aurobindo's writings relate a deep and complex spiritual philosophy to all areas of life and thought. Anyone interested in datasets by individual books (or in building 'spiritual AIs') - please message me at my Twitter account @jared_quek.
[ "### Sri Aurobindo:\n- Letters on Yoga 1, 2, 3, 4\n- Letters on Himself and the Ashram\n- The Mother with Letters on the Mother\n- The Life Divine\n- The Synthesis of Yoga\n- The Renaissance in India\n- The Secret of the Veda\n- Essays Divine and Human\n- Essays on the Gita\n- Essays in Philosophy and Yoga\n- The Future Poetry\n- The Human Cycle\n- Isha Upanishad", "### Mirra (the Mother's):\n- Questions and Answers (all volumes)\n- Prayers and Meditation\n- On Education\n- On Thoughts and Aphorisms\n- Words of the Mother (all volumes)\n\nThe titles of books have been removed to reduce hallucinatory misquotes. We believe this dataset is useful to train AIs to converse on spiritual and philosophical topics, as Sri Aurobindo's writings relate a deep and complex spiritual philosophy to all areas of life and thought. \n\nAnyone interested in datasets by individual books (or in building 'spiritual AIs') - please message me at my Twitter account @jared_quek." ]
[ "TAGS\n#task_categories-question-answering #task_categories-conversational #language-English #license-mit #philosophy #religion #spirituality #occult #indian philosophy #hinduism #region-us \n", "### Sri Aurobindo:\n- Letters on Yoga 1, 2, 3, 4\n- Letters on Himself and the Ashram\n- The Mother with Letters on the Mother\n- The Life Divine\n- The Synthesis of Yoga\n- The Renaissance in India\n- The Secret of the Veda\n- Essays Divine and Human\n- Essays on the Gita\n- Essays in Philosophy and Yoga\n- The Future Poetry\n- The Human Cycle\n- Isha Upanishad", "### Mirra (the Mother's):\n- Questions and Answers (all volumes)\n- Prayers and Meditation\n- On Education\n- On Thoughts and Aphorisms\n- Words of the Mother (all volumes)\n\nThe titles of books have been removed to reduce hallucinatory misquotes. We believe this dataset is useful to train AIs to converse on spiritual and philosophical topics, as Sri Aurobindo's writings relate a deep and complex spiritual philosophy to all areas of life and thought. \n\nAnyone interested in datasets by individual books (or in building 'spiritual AIs') - please message me at my Twitter account @jared_quek." ]
[ 60, 101, 153 ]
[ "passage: TAGS\n#task_categories-question-answering #task_categories-conversational #language-English #license-mit #philosophy #religion #spirituality #occult #indian philosophy #hinduism #region-us \n### Sri Aurobindo:\n- Letters on Yoga 1, 2, 3, 4\n- Letters on Himself and the Ashram\n- The Mother with Letters on the Mother\n- The Life Divine\n- The Synthesis of Yoga\n- The Renaissance in India\n- The Secret of the Veda\n- Essays Divine and Human\n- Essays on the Gita\n- Essays in Philosophy and Yoga\n- The Future Poetry\n- The Human Cycle\n- Isha Upanishad### Mirra (the Mother's):\n- Questions and Answers (all volumes)\n- Prayers and Meditation\n- On Education\n- On Thoughts and Aphorisms\n- Words of the Mother (all volumes)\n\nThe titles of books have been removed to reduce hallucinatory misquotes. We believe this dataset is useful to train AIs to converse on spiritual and philosophical topics, as Sri Aurobindo's writings relate a deep and complex spiritual philosophy to all areas of life and thought. \n\nAnyone interested in datasets by individual books (or in building 'spiritual AIs') - please message me at my Twitter account @jared_quek." ]
64679109dd1995834db0cdca426aeb7ac6d8534b
This dataset is a subset of the Open Assistant dataset, which you can find here: https://huggingface.co/datasets/OpenAssistant/oasst1/tree/main This subset of the data only contains the highest-rated paths in the conversation tree, with a total of 9,846 samples. This dataset was used to train Guanaco with QLoRA. For further information, please see the original dataset. License: Apache 2.0
lakelz/myds2-bpg
[ "region:us" ]
2023-10-07T06:13:56+00:00
{}
2023-10-07T06:14:30+00:00
[]
[]
TAGS #region-us
This dataset is a subset of the Open Assistant dataset, which you can find here: URL This subset of the data only contains the highest-rated paths in the conversation tree, with a total of 9,846 samples. This dataset was used to train Guanaco with QLoRA. For further information, please see the original dataset. License: Apache 2.0
[]
[ "TAGS\n#region-us \n" ]
[ 6 ]
[ "passage: TAGS\n#region-us \n" ]
d2ff7f468d3642dbd33123596331950db8a63d0e
# Dataset Card for "trivia_qa" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
lighteval/trivia_qa
[ "region:us" ]
2023-10-07T06:31:15+00:00
{"dataset_info": [{"config_name": "default", "features": [{"name": "question", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "question_source", "dtype": "string"}, {"name": "entity_pages", "sequence": [{"name": "doc_source", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "wiki_context", "dtype": "string"}]}, {"name": "search_results", "sequence": [{"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "rank", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "search_context", "dtype": "string"}]}, {"name": "answer", "struct": [{"name": "aliases", "sequence": "string"}, {"name": "normalized_aliases", "sequence": "string"}, {"name": "matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_value", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 106882730, "num_examples": 138384}, {"name": "validation", "num_bytes": 14059830, "num_examples": 17944}, {"name": "test", "num_bytes": 3667903, "num_examples": 17210}], "download_size": 63926518, "dataset_size": 124610463}, {"config_name": "rc.nocontext", "features": [{"name": "question", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "question_source", "dtype": "string"}, {"name": "entity_pages", "sequence": [{"name": "doc_source", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "wiki_context", "dtype": "string"}]}, {"name": "search_results", "sequence": [{"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "rank", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "search_context", "dtype": "string"}]}, {"name": "answer", "struct": [{"name": "aliases", "sequence": "string"}, {"name": "normalized_aliases", "sequence": "string"}, {"name": "matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_value", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 106882730, "num_examples": 138384}, {"name": "validation", "num_bytes": 14059830, "num_examples": 17944}, {"name": "test", "num_bytes": 3667903, "num_examples": 17210}], "download_size": 63926518, "dataset_size": 124610463}], "configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}, {"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}, {"config_name": "rc.nocontext", "data_files": [{"split": "train", "path": "rc.nocontext/train-*"}, {"split": "validation", "path": "rc.nocontext/validation-*"}, {"split": "test", "path": "rc.nocontext/test-*"}]}]}
2023-10-07T06:35:06+00:00
[]
[]
TAGS #region-us
# Dataset Card for "trivia_qa" More Information needed
[ "# Dataset Card for \"trivia_qa\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"trivia_qa\"\n\nMore Information needed" ]
[ 6, 14 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"trivia_qa\"\n\nMore Information needed" ]
d81e8c4c2c86c74c89a41de1bd759d1f26e36edb
# Dataset Card for "wikipedia_long" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
jjonhwa/wikipedia_long
[ "region:us" ]
2023-10-07T06:52:52+00:00
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 357940449, "num_examples": 10620}], "download_size": 185039420, "dataset_size": 357940449}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T06:53:13+00:00
[]
[]
TAGS #region-us
# Dataset Card for "wikipedia_long" More Information needed
[ "# Dataset Card for \"wikipedia_long\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"wikipedia_long\"\n\nMore Information needed" ]
[ 6, 13 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"wikipedia_long\"\n\nMore Information needed" ]
dbc54bee6fb6cfa007e46793fbdbf6575257eaaf
# Dataset Card for "common_voice_13_0-zh-HK-whisper-small" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
CWKSC/common_voice_13_0-zh-HK-whisper-small
[ "region:us" ]
2023-10-07T06:58:15+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 13463992440, "num_examples": 14018}, {"name": "test", "num_bytes": 5371995872, "num_examples": 5593}], "download_size": 0, "dataset_size": 18835988312}}
2023-10-07T07:05:00+00:00
[]
[]
TAGS #region-us
# Dataset Card for "common_voice_13_0-zh-HK-whisper-small" More Information needed
[ "# Dataset Card for \"common_voice_13_0-zh-HK-whisper-small\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"common_voice_13_0-zh-HK-whisper-small\"\n\nMore Information needed" ]
[ 6, 30 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"common_voice_13_0-zh-HK-whisper-small\"\n\nMore Information needed" ]
c413cb1636d6fe5e572c767c5c848b022d91fc08
# Dataset Card for "my-image-captioning-dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Vrushali/my-image-captioning-dataset
[ "region:us" ]
2023-10-07T06:59:30+00:00
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "blipdataset"}}}}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 456995431.0, "num_examples": 29048}], "download_size": 461550035, "dataset_size": 456995431.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T07:17:07+00:00
[]
[]
TAGS #region-us
# Dataset Card for "my-image-captioning-dataset" More Information needed
[ "# Dataset Card for \"my-image-captioning-dataset\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"my-image-captioning-dataset\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"my-image-captioning-dataset\"\n\nMore Information needed" ]
2cbc87c3e6042ab50fcb3c581052ac58945f7fe1
# Dataset Card for "iAshaar" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Zaid/iAshaar
[ "region:us" ]
2023-10-07T07:01:29+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "poem title", "dtype": "string"}, {"name": "poem meter", "dtype": "string"}, {"name": "poem verses", "sequence": "string"}, {"name": "poem theme", "dtype": "string"}, {"name": "poem url", "dtype": "string"}, {"name": "poet name", "dtype": "string"}, {"name": "poet description", "dtype": "string"}, {"name": "poet url", "dtype": "string"}, {"name": "poet era", "dtype": "string"}, {"name": "poet location", "dtype": "string"}, {"name": "poem description", "list": [{"name": "attributes", "struct": [{"name": "class", "dtype": "string"}, {"name": "color", "dtype": "string"}, {"name": "dir", "dtype": "string"}, {"name": "face", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "style", "dtype": "string"}]}, {"name": "children", "list": [{"name": "attributes", "struct": [{"name": "color", "dtype": "string"}, {"name": "dir", "dtype": "string"}, {"name": "face", "dtype": "string"}, {"name": "href", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "style", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "children", "list": [{"name": "attributes", "struct": [{"name": "class", "dtype": "string"}, {"name": "color", "dtype": "string"}, {"name": "dir", "dtype": "string"}, {"name": "face", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "style", "dtype": "string"}]}, {"name": "children", "list": [{"name": "attributes", "struct": [{"name": "align", "dtype": "string"}, {"name": "face", "dtype": "string"}, {"name": "nowrap", "dtype": "string"}]}, {"name": "name", "dtype": "string"}, {"name": "parentAttributes", "struct": [{"name": "lang", "dtype": "string"}, {"name": "style", "dtype": "string"}]}, {"name": "size", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "truncated", "dtype": "bool"}, {"name": "type", "dtype": "string"}]}, {"name": "name", "dtype": "string"}, {"name": "parentAttributes", "struct": [{"name": "dir", "dtype": "string"}, {"name": "face", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "style", "dtype": "string"}]}, {"name": "partA", "dtype": "string"}, {"name": "size", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "truncated", "dtype": "bool"}, {"name": "type", "dtype": "string"}]}, {"name": "name", "dtype": "string"}, {"name": "parentAttributes", "struct": [{"name": "class", "dtype": "string"}, {"name": "color", "dtype": "string"}, {"name": "dir", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "style", "dtype": "string"}]}, {"name": "partA", "dtype": "string"}, {"name": "partB", "dtype": "string"}, {"name": "size", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "truncated", "dtype": "bool"}, {"name": "type", "dtype": "string"}]}, {"name": "name", "dtype": "string"}, {"name": "parentAttributes", "struct": [{"name": "dir", "dtype": "string"}, {"name": "style", "dtype": "string"}]}, {"name": "partA", "dtype": "string"}, {"name": "partB", "dtype": "string"}, {"name": "size", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "truncated", "dtype": "bool"}, {"name": "type", "dtype": "string"}]}, {"name": "poem language type", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 846365314, "num_examples": 136422}], "download_size": 370389390, "dataset_size": 846365314}}
2023-10-07T07:01:46+00:00
[]
[]
TAGS #region-us
# Dataset Card for "iAshaar" More Information needed
[ "# Dataset Card for \"iAshaar\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"iAshaar\"\n\nMore Information needed" ]
[ 6, 13 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"iAshaar\"\n\nMore Information needed" ]
54c6a1f8cb6daf4f5abf24a601852612fb35eb25
# Dataset Card for "siqa" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
lighteval/siqa
[ "region:us" ]
2023-10-07T07:03:29+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answerA", "dtype": "string"}, {"name": "answerB", "dtype": "string"}, {"name": "answerC", "dtype": "string"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6327209, "num_examples": 33410}, {"name": "validation", "num_bytes": 372815, "num_examples": 1954}], "download_size": 3678635, "dataset_size": 6700024}}
2023-10-07T07:03:32+00:00
[]
[]
TAGS #region-us
# Dataset Card for "siqa" More Information needed
[ "# Dataset Card for \"siqa\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"siqa\"\n\nMore Information needed" ]
[ 6, 12 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"siqa\"\n\nMore Information needed" ]
db22ba67c5d9dc71464cf06cbeaa3bf802bfa8b4
Data scraped from [roleplayerguild](https://www.roleplayerguild.com/) and parsed into prompts with a conversation history and associated character bio. Thanks to an anonymous internet stranger for the original scrape. As usernames can be associated with multiple character biographies, assignment of characters is a little fuzzy. The `char_confidence` feature reflects how likely this assignment is to be correct. Not all posts in the conversation history necessarily have an associated character name. The column `has_nameless` reflects this. Each row should fit into 4096 Llama tokens, depending on your prompt format - there's built in slack of 128 tokens + 8 per message. There are a few configurations available. I *highly* recommend not using the default configuration as it contains a lot of questionable quality data. The options, in order of increasing usefulness: * `default` - ocean of garbage with some gems * `high_confidence` - only entries with no nameless posts that are highly likely to be assigned a correct `char_name`/`bio` * `pruned` - Further filtered from `high_confidence` to remove common types of junk replies * `grammar_filtered` - run through a grammar checker to remove rows with too many mistakes The `grammar_filtered` configuration is almost certainly what you want to be using. (Unless you want to do your own processing and filtering.)
chargoddard/rpguild
[ "task_categories:conversational", "task_categories:text-generation", "size_categories:100K<n<1M", "language:en", "license:cc-by-nc-4.0", "roleplay", "not-for-all-audiences", "region:us" ]
2023-10-07T07:04:37+00:00
{"language": ["en"], "license": "cc-by-nc-4.0", "size_categories": ["100K<n<1M"], "task_categories": ["conversational", "text-generation"], "dataset_info": [{"config_name": "default", "features": [{"name": "username", "dtype": "string"}, {"name": "char_name", "dtype": "string"}, {"name": "bio", "dtype": "string"}, {"name": "context", "list": [{"name": "text", "dtype": "string"}, {"name": "username", "dtype": "string"}, {"name": "char_name", "dtype": "string"}]}, {"name": "reply", "dtype": "string"}, {"name": "has_nameless", "dtype": "bool"}, {"name": "char_confidence", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 1921588254, "num_examples": 140469}], "download_size": 764073630, "dataset_size": 1921588254}, {"config_name": "grammar_filtered", "features": [{"name": "username", "dtype": "string"}, {"name": "char_name", "dtype": "string"}, {"name": "bio", "dtype": "string"}, {"name": "context", "list": [{"name": "char_name", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "username", "dtype": "string"}]}, {"name": "reply", "dtype": "string"}, {"name": "char_confidence", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 371438765, "num_examples": 27053}], "download_size": 166606326, "dataset_size": 371438765}, {"config_name": "high_confidence", "features": [{"name": "username", "dtype": "string"}, {"name": "char_name", "dtype": "string"}, {"name": "bio", "dtype": "string"}, {"name": "context", "list": [{"name": "text", "dtype": "string"}, {"name": "username", "dtype": "string"}, {"name": "char_name", "dtype": "string"}]}, {"name": "reply", "dtype": "string"}, {"name": "has_nameless", "dtype": "bool"}, {"name": "char_confidence", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 949419370.7676569, "num_examples": 69403}], "download_size": 386317057, "dataset_size": 949419370.7676569}, {"config_name": "pruned", "features": [{"name": "username", "dtype": "string"}, {"name": "char_name", "dtype": "string"}, {"name": "bio", "dtype": "string"}, {"name": "context", "list": [{"name": "text", "dtype": "string"}, {"name": "username", "dtype": "string"}, {"name": "char_name", "dtype": "string"}]}, {"name": "reply", "dtype": "string"}, {"name": "has_nameless", "dtype": "bool"}, {"name": "char_confidence", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 782484734.2032762, "num_examples": 57200}], "download_size": 326987882, "dataset_size": 782484734.2032762}], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}, {"config_name": "grammar_filtered", "data_files": [{"split": "train", "path": "grammar_filtered/train-*"}]}, {"config_name": "high_confidence", "data_files": [{"split": "train", "path": "high_confidence/train-*"}]}, {"config_name": "pruned", "data_files": [{"split": "train", "path": "pruned/train-*"}]}], "tags": ["roleplay", "not-for-all-audiences"]}
2023-12-26T16:52:20+00:00
[]
[ "en" ]
TAGS #task_categories-conversational #task_categories-text-generation #size_categories-100K<n<1M #language-English #license-cc-by-nc-4.0 #roleplay #not-for-all-audiences #region-us
Data scraped from roleplayerguild and parsed into prompts with a conversation history and associated character bio. Thanks to an anonymous internet stranger for the original scrape. As usernames can be associated with multiple character biographies, assignment of characters is a little fuzzy. The 'char_confidence' feature reflects how likely this assignment is to be correct. Not all posts in the conversation history necessarily have an associated character name. The column 'has_nameless' reflects this. Each row should fit into 4096 Llama tokens, depending on your prompt format - there's built in slack of 128 tokens + 8 per message. There are a few configurations available. I *highly* recommend not using the default configuration as it contains a lot of questionable quality data. The options, in order of increasing usefulness: * 'default' - ocean of garbage with some gems * 'high_confidence' - only entries with no nameless posts that are highly likely to be assigned a correct 'char_name'/'bio' * 'pruned' - Further filtered from 'high_confidence' to remove common types of junk replies * 'grammar_filtered' - run through a grammar checker to remove rows with too many mistakes The 'grammar_filtered' configuration is almost certainly what you want to be using. (Unless you want to do your own processing and filtering.)
[]
[ "TAGS\n#task_categories-conversational #task_categories-text-generation #size_categories-100K<n<1M #language-English #license-cc-by-nc-4.0 #roleplay #not-for-all-audiences #region-us \n" ]
[ 67 ]
[ "passage: TAGS\n#task_categories-conversational #task_categories-text-generation #size_categories-100K<n<1M #language-English #license-cc-by-nc-4.0 #roleplay #not-for-all-audiences #region-us \n" ]
f730607a173253cf5fe563ce8068f3fe0857b9ac
# Dataset Card for Dataset Name ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
DeLZaky/JcommonsenseQA_plus_JapaneseLogicaldeductionQA
[ "region:us" ]
2023-10-07T07:17:44+00:00
{"features": [{"name": "\u554f\u984c"}, {"name": "\u9078\u629e\u80a20"}, {"name": "\u9078\u629e\u80a21"}, {"name": "\u9078\u629e\u80a22"}, {"name": "\u9078\u629e\u80a23"}, {"name": "\u9078\u629e\u80a24"}, {"name": "\u89e3\u7b54"}]}
2023-10-07T08:26:19+00:00
[]
[]
TAGS #region-us
# Dataset Card for Dataset Name ## Dataset Description - Homepage: - Repository: - Paper: - Leaderboard: - Point of Contact: ### Dataset Summary This dataset card aims to be a base template for new datasets. It has been generated using this raw template. ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions
[ "# Dataset Card for Dataset Name", "## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:", "### Dataset Summary\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions" ]
[ "TAGS\n#region-us \n", "# Dataset Card for Dataset Name", "## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:", "### Dataset Summary\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions" ]
[ 6, 8, 24, 32, 10, 4, 6, 6, 5, 5, 5, 7, 4, 10, 10, 5, 5, 9, 8, 8, 7, 8, 7, 5, 6, 6, 5 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for Dataset Name## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:### Dataset Summary\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.### Supported Tasks and Leaderboards### Languages## Dataset Structure### Data Instances### Data Fields### Data Splits## Dataset Creation### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators### Licensing Information### Contributions" ]
51ff7d934f3d1cc76e0ba57bfee23a7d98f6f9ed
# Drug Resistance and antibiotics Drug resistance to antibiotics is increasing around the world every day. Generations of antibiotics are dynamically changing in treatment. In 2019, a group of medical students in Myanmar, Mandalay researched antibiotics usage in hospitals. The research won first prize at the University of Medicine, Mandalay 3rd MBBS research competition, 2019. The dataset focuses on the retrospective study of the usage of antibiotics and diseases under the title of antibiotic resistance. The dataset contains - age and gender of the patient, - diagnosis of the patient, - Antibiotics used to treat patient - Dosage of the antibiotics in grams - Route of application of antibiotics - Frequency of usage of antibiotics - Duration of treatment using antibiotics in days - Indiction of antibiotics License CC BY-SA 4.0 Tags - Health - Drugs and Medications
jojo-ai-mst/hospital-antibiotics-usage
[ "medical", "region:us" ]
2023-10-07T07:18:57+00:00
{"pretty_name": "Hospital Antibiotics Usage", "tags": ["medical"]}
2023-10-07T07:22:45+00:00
[]
[]
TAGS #medical #region-us
# Drug Resistance and antibiotics Drug resistance to antibiotics is increasing around the world every day. Generations of antibiotics are dynamically changing in treatment. In 2019, a group of medical students in Myanmar, Mandalay researched antibiotics usage in hospitals. The research won first prize at the University of Medicine, Mandalay 3rd MBBS research competition, 2019. The dataset focuses on the retrospective study of the usage of antibiotics and diseases under the title of antibiotic resistance. The dataset contains - age and gender of the patient, - diagnosis of the patient, - Antibiotics used to treat patient - Dosage of the antibiotics in grams - Route of application of antibiotics - Frequency of usage of antibiotics - Duration of treatment using antibiotics in days - Indiction of antibiotics License CC BY-SA 4.0 Tags - Health - Drugs and Medications
[ "# Drug Resistance and antibiotics\nDrug resistance to antibiotics is increasing around the world every day. Generations of antibiotics are dynamically changing in treatment.\n\nIn 2019, a group of medical students in Myanmar, Mandalay researched antibiotics usage in hospitals. The research won first prize at the University of Medicine, Mandalay 3rd MBBS research competition, 2019.\n\nThe dataset focuses on the retrospective study of the usage of antibiotics and diseases under the title of antibiotic resistance. The dataset contains\n\n- age and gender of the patient,\n- diagnosis of the patient,\n- Antibiotics used to treat patient\n- Dosage of the antibiotics in grams\n- Route of application of antibiotics\n- Frequency of usage of antibiotics\n- Duration of treatment using antibiotics in days\n- Indiction of antibiotics\n\n\nLicense\nCC BY-SA 4.0\n\n\nTags\n- Health\n- Drugs and Medications" ]
[ "TAGS\n#medical #region-us \n", "# Drug Resistance and antibiotics\nDrug resistance to antibiotics is increasing around the world every day. Generations of antibiotics are dynamically changing in treatment.\n\nIn 2019, a group of medical students in Myanmar, Mandalay researched antibiotics usage in hospitals. The research won first prize at the University of Medicine, Mandalay 3rd MBBS research competition, 2019.\n\nThe dataset focuses on the retrospective study of the usage of antibiotics and diseases under the title of antibiotic resistance. The dataset contains\n\n- age and gender of the patient,\n- diagnosis of the patient,\n- Antibiotics used to treat patient\n- Dosage of the antibiotics in grams\n- Route of application of antibiotics\n- Frequency of usage of antibiotics\n- Duration of treatment using antibiotics in days\n- Indiction of antibiotics\n\n\nLicense\nCC BY-SA 4.0\n\n\nTags\n- Health\n- Drugs and Medications" ]
[ 9, 191 ]
[ "passage: TAGS\n#medical #region-us \n# Drug Resistance and antibiotics\nDrug resistance to antibiotics is increasing around the world every day. Generations of antibiotics are dynamically changing in treatment.\n\nIn 2019, a group of medical students in Myanmar, Mandalay researched antibiotics usage in hospitals. The research won first prize at the University of Medicine, Mandalay 3rd MBBS research competition, 2019.\n\nThe dataset focuses on the retrospective study of the usage of antibiotics and diseases under the title of antibiotic resistance. The dataset contains\n\n- age and gender of the patient,\n- diagnosis of the patient,\n- Antibiotics used to treat patient\n- Dosage of the antibiotics in grams\n- Route of application of antibiotics\n- Frequency of usage of antibiotics\n- Duration of treatment using antibiotics in days\n- Indiction of antibiotics\n\n\nLicense\nCC BY-SA 4.0\n\n\nTags\n- Health\n- Drugs and Medications" ]
b1fbe48734aade83b3467fc4ba267c91400ec06f
# Dataset Card for Dataset Name ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
DeLZaky/JapaneseSummalization_task
[ "region:us" ]
2023-10-07T07:28:54+00:00
{}
2023-10-07T07:29:27+00:00
[]
[]
TAGS #region-us
# Dataset Card for Dataset Name ## Dataset Description - Homepage: - Repository: - Paper: - Leaderboard: - Point of Contact: ### Dataset Summary This dataset card aims to be a base template for new datasets. It has been generated using this raw template. ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions
[ "# Dataset Card for Dataset Name", "## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:", "### Dataset Summary\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions" ]
[ "TAGS\n#region-us \n", "# Dataset Card for Dataset Name", "## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:", "### Dataset Summary\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions" ]
[ 6, 8, 24, 32, 10, 4, 6, 6, 5, 5, 5, 7, 4, 10, 10, 5, 5, 9, 8, 8, 7, 8, 7, 5, 6, 6, 5 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for Dataset Name## Dataset Description\n\n- Homepage: \n- Repository: \n- Paper: \n- Leaderboard: \n- Point of Contact:### Dataset Summary\n\nThis dataset card aims to be a base template for new datasets. It has been generated using this raw template.### Supported Tasks and Leaderboards### Languages## Dataset Structure### Data Instances### Data Fields### Data Splits## Dataset Creation### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators### Licensing Information### Contributions" ]
4a1ccf543aefc48b47200e981f0e573fd36178d3
# juewang/target-data
juewang/misc-data
[ "language:en", "region:us" ]
2023-10-07T07:30:03+00:00
{"language": ["en"]}
2023-10-11T14:07:02+00:00
[]
[ "en" ]
TAGS #language-English #region-us
# juewang/target-data
[ "# juewang/target-data" ]
[ "TAGS\n#language-English #region-us \n", "# juewang/target-data" ]
[ 10, 9 ]
[ "passage: TAGS\n#language-English #region-us \n# juewang/target-data" ]
ada322054121c84eeaada553cf1a2269fda6825e
# Dataset Card for "llama2_4_translation" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
RikoteMaster/llama2_4_translation
[ "region:us" ]
2023-10-07T07:40:40+00:00
{"dataset_info": {"features": [{"name": "Spanish", "dtype": "string"}, {"name": "English", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 27623544, "num_examples": 118964}], "download_size": 11129552, "dataset_size": 27623544}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T07:40:43+00:00
[]
[]
TAGS #region-us
# Dataset Card for "llama2_4_translation" More Information needed
[ "# Dataset Card for \"llama2_4_translation\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"llama2_4_translation\"\n\nMore Information needed" ]
[ 6, 18 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"llama2_4_translation\"\n\nMore Information needed" ]
0992f07661c34747b3226d9089cafc1f49e0a52b
# Dataset Card for "common_voice_13_0-ja-whisper-small" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
CWKSC/common_voice_13_0-ja-whisper-small
[ "region:us" ]
2023-10-07T07:45:56+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_features", "sequence": {"sequence": "float32"}}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 11557295928, "num_examples": 12032}, {"name": "test", "num_bytes": 4765120552, "num_examples": 4961}], "download_size": 0, "dataset_size": 16322416480}}
2023-10-07T08:22:02+00:00
[]
[]
TAGS #region-us
# Dataset Card for "common_voice_13_0-ja-whisper-small" More Information needed
[ "# Dataset Card for \"common_voice_13_0-ja-whisper-small\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"common_voice_13_0-ja-whisper-small\"\n\nMore Information needed" ]
[ 6, 28 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"common_voice_13_0-ja-whisper-small\"\n\nMore Information needed" ]
025dedc97924b2f0e48c1851483bf5ac3b08e787
# Dataset Card for "name_of_your_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
106306046derrick/name_of_your_dataset
[ "region:us" ]
2023-10-07T07:52:39+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 11058568885.924, "num_examples": 1390436}, {"name": "validation", "num_bytes": 834808939.688, "num_examples": 158152}], "download_size": 11785641447, "dataset_size": 11893377825.612}}
2023-10-07T09:18:37+00:00
[]
[]
TAGS #region-us
# Dataset Card for "name_of_your_dataset" More Information needed
[ "# Dataset Card for \"name_of_your_dataset\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"name_of_your_dataset\"\n\nMore Information needed" ]
[ 6, 18 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"name_of_your_dataset\"\n\nMore Information needed" ]
37345d562aaa3bf2248f5cf59383983d9bb05a00
# AutoTrain Dataset for project: ceconomysumdataset ## Dataset Description This dataset has been automatically processed by AutoTrain for project ceconomysumdataset. ### Languages The BCP-47 code for the dataset's language is unk. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "target": "\u9ed8\u6c99\u4e1c\u6536\u8d2d\u5148\u7075\u8446\u96c5\u540e\u5c06\u91cd\u7ec4\u4e3a5\u4e2a\u90e8\u95e8", "text": "\u65b0\u6d6a\u8d22\u7ecf\u8baf \u5317\u4eac\u65f6\u95f4\u5468\u4e00\u665a\u95f4\u6d88\u606f\uff0c\u9ed8\u6c99\u4e1c\u516c\u53f8(MRK)\u603b\u88c1\u517c\u9996\u5e2d\u6267\u884c\u5b98\u7406\u67e5\u5fb7\u00b7\u514b\u62c9\u514b(Richard T. Clark)\u8868\u793a\uff0c\u5728\u5b8c\u6210\u5bf9\u7ade\u4e89\u5bf9\u624b\u5148\u7075\u8446\u96c5\u516c\u53f8(SGP)411\u4ebf\u7f8e\u5143\u7684\u6536\u8d2d\u540e\uff0c\u8be5\u516c\u53f8\u5c06\u91cd\u7ec4\u4e3a5\u4e2a\u90e8\u95e8\u3002\u514b\u62c9\u514b\u5c06\u7ee7\u7eed\u62c5\u4efb\u65b0\u516c\u53f8\u7684CEO\u3002\u6b64\u9879\u4ea4\u6613\u9884\u8ba1\u5c06\u4e8e\u7b2c\u56db\u5b63\u5ea6\u5b8c\u6210\u3002\u65b0\u516c\u53f8\u5c06\u62e5\u67095\u4e2a\u4e3b\u8981\u90e8\u95e8\uff0c\u5305\u62ec\u5168\u7403\u4eba\u7c7b\u5065\u5eb7(Global Human Health)\u3001\u52a8\u7269\u5065\u5eb7(Animal Health)\u3001\u6d88\u8d39\u8005\u5065\u5eb7\u62a4\u7406(Consumer Health Care)\u3001\u9ed8\u6c99\u4e1c\u7814\u7a76\u5b9e\u9a8c\u5ba4(Merck Research Laboratories)\uff0c\u4ee5\u53ca\u9ed8\u6c99\u4e1c\u5236\u9020\u90e8\u95e8(Merck Manufacturing)\u3002\u6b64\u5916\uff0c\u8fd9\u5bb6\u603b\u90e8\u4f4d\u4e8e\u65b0\u6cfd\u897f\u5ddeWhitehouse Station\u7684\u516c\u53f8\u8868\u793a\uff0c\u5148\u7075\u8446\u96c5\u73b0\u4efb\u9886\u5bfc\u5c42\u5927\u7ea640%\u7684\u6210\u5458\u5c06\u6210\u4e3a\u65b0\u516c\u53f8\u7ba1\u7406\u5c42\u7684\u4e00\u90e8\u5206\uff0c\u800c\u8be5\u516c\u53f8\u5458\u5de5\u4e2d\u7684\u7edd\u5927\u90e8\u5206\u4e5f\u5c06\u7559\u5728\u5408\u5e76\u540e\u7684\u516c\u53f8\u3002\u5168\u7403\u4eba\u7c7b\u5065\u5eb7\u90e8\u95e8\u5c06\u7531\u80af\u5c3c\u65af\u00b7\u5f17\u96f7\u6cfd(Kenneth C. Frazier)\u9886\u5bfc\uff0c\u540e\u8005\u73b0\u4efb\u9ed8\u6c99\u4e1c\u6267\u884c\u526f\u603b\u88c1\u517c\u5168\u7403\u4eba\u7c7b\u5065\u5eb7\u90e8\u95e8\u603b\u88c1\u3002\u5148\u7075\u8446\u96c5\u73b0\u4efb\u9ad8\u7ea7\u526f\u603b\u88c1\u517cIntervet Schering-Plough Animal Health\u90e8\u95e8\u603b\u88c1\u52b3\u5c14\u00b7\u53ef\u6c57(Raul E. Kohan)\u5c06\u9886\u5bfc\u65b0\u7684\u9ed8\u6c99\u4e1c\u52a8\u7269\u5065\u5eb7\u90e8\u95e8\u3002\u6d88\u8d39\u8005\u4fdd\u5065\u90e8\u95e8\u5c06\u6682\u65f6\u7531\u65af\u5766\u5229\u00b7\u5df4\u8c22(Stanley F. Barshay)\u9886\u5bfc\uff0c\u540e\u8005\u73b0\u4efb\u5148\u7075\u8446\u96c5\u6d88\u8d39\u8005\u5065\u5eb7\u90e8\u95e8\u8463\u4e8b\u957f\u3002\u5408\u5e76\u540e\u7684\u516c\u53f8\u5c06\u4e3a\u8be5\u90e8\u95e8\u5bfb\u627e\u4e00\u4f4d\u6b63\u5f0f\u9886\u5bfc\u4eba\u3002\u9ed8\u6c99\u4e1c\u7814\u7a76\u5b9e\u9a8c\u5ba4\u90e8\u95e8\u4ecd\u5c06\u7531\u73b0\u4efb\u603b\u88c1\u5f7c\u5f97\u00b7\u91d1(Peter S. Kim)\u9886\u5bfc\u3002\u9ed8\u6c99\u4e1c\u751f\u4ea7\u90e8\u95e8\u5c06\u7531\u5a01\u5229\u00b7\u8fea\u65af(Willie A. Deese)\u9886\u5bfc\uff0c\u540e\u8005\u73b0\u4efb\u9ed8\u6c99\u4e1c\u751f\u4ea7\u4e1a\u52a1\u603b\u88c1\u3002" }, { "target": "\u5927\u76d8\u4e94\u8fde\u9633\u5251\u63072900 \u4e0b\u5468\u8fd0\u884c\u8def\u7ebf\u56fe\u5206\u6790", "text": "== \u4eca\u65e5\u76d8\u9762\uff1a\u5927\u76d8\u559c\u89c1\u4e94\u8fde\u9633 \u6caa\u6307\u5251\u63072900\u70b9 ==\u5468\u4e94A\u80a1\u7ee7\u7eed\u9707\u8361\u4e0a\u884c\uff0c\u6caa\u6307\u54112900\u70b9\u8fdb\u519b\u3002\u53d7\u9996\u53eaIPO\u843d\u5730\u3001\u56fd\u9645\u6cb9\u4ef7\u7ee7\u7eed\u4e0a\u626c\u3001\u7f8e\u80a1\u9053\u6307\u5fae\u5e45\u6536\u9ad8\u7b49\u56e0\u7d20\u5f71\u54cd\uff0c\u5927\u76d8\u518d\u63a5\u518d\u5389\u53c8\u521b\u53cd\u5f39\u65b0\u9ad8\u3002\u4f46\u80a1\u6307\u4e0a\u884c\u52bf\u5934\u540c\u6bd4\u6628\u65e5\u6709\u6240\u6536\u655b\uff0c\u76d8\u4e2d\u6ce2\u52a8\u52a0\u5267\uff0c\u4e2a\u80a1\u4f9d\u65e7\u662f\u4e24\u6781\u5206\u5316\uff0c\u91d1\u878d\u548c\u751f\u7269\u5236\u836f\u677f\u5757\u7ee7\u7eed\u5145\u5f53\u5e02\u573a\u7684\u9886\u5934\u7f8a\u3002\u800c\u8d44\u6e90\u677f\u5757\u6210\u4e3a\u505a\u7a7a\u7684\u4e3b\u8981\u529b\u91cf\u3002\u622a\u81f3\u6536\u76d8\uff0c\u4e0a\u8bc1\u7efc\u6307\u62a52880.49\u70b9\uff0c\u4e0a\u6da80.93%\uff0c\u76d8\u4e2d\u521b\u51fa2886.50\u70b9\u65b0\u9ad8\uff0c\u6210\u4ea41535\u4ebf\uff1b\u6df1\u8bc1\u6210\u6307\u6536\u5e02\u62a511242.3\u70b9\uff0c\u4e0a\u6da80.81%\uff0c\u6210\u4ea4792.8\u4ebf\u3002\u4e24\u5e02\u5171\u6210\u4ea42327.8\u4ebf\u3002\u540c\u6bd4\u653e\u5927\u7ee7\u7eed\u653e\u5927\u3002== \u76d8\u9762\u5206\u6790\uff1a\u5e02\u573a\u70ed\u70b9\u7ee7\u7eed\u6d3b\u8dc3 \u8d44\u6e90\u7c7b\u677f\u5757\u518d\u6b21\u5012\u6208 ==\u6743\u91cd\u80a1\u4f9d\u7136\u8f83\u4e3a\u5f3a\u52bf\u76d8\u53e3\u663e\u793a\uff0c\u4e2a\u80a1\u5206\u5316\u7684\u8d8b\u52bf\u6ca1\u6709\u6539\u53d8\uff0c\u6743\u91cd\u80a1\u4f9d\u7136\u8f83\u4e3a\u5f3a\u52bf\u3002\u4e07\u79d1\u5927\u6da83.94%\uff0c\u4e2d\u4fe1\u8bc1\u5238\u3001\u6d66\u53d1\u94f6\u884c\u3001\u4e2d\u56fd\u5e73\u5b89\u3001\u4ea4\u901a\u94f6\u884c\u6da8\u5e45\u57281%\u4ee5\u4e0a\uff0c\u77f3\u5316\u53cc\u96c4\u5206\u9053\u626c\u9573\uff0c\u4e2d\u56fd\u77f3\u6cb9\u5fae\u5e45\u6536\u6da80.57%\uff0c\u800c\u4e2d\u56fd\u77f3\u5316\u5219\u4e0b\u8dcc0.48%\u3002\u4e2d\u56fd\u5357\u8f66\u5de8\u91cf\u5c01\u6b7b\u6da8\u505c \u521b\u51fa\u65b0\u9ad8\u4e2d\u56fd\u5357\u8f66\u51fa\u73b0\u660e\u663e\u5f02\u52a8\uff0c\u65e9\u76d8\u8be5\u80a1\u5de8\u91cf\u5c01\u6b7b\u6da8\u505c\uff0c\u521b\u51fa\u4e0a\u5e02\u4ee5\u6765\u7684\u65b0\u9ad8\uff1b\u6d77\u738b\u751f\u7269\u4e34\u8fd1\u6536\u76d8\u65f6\u75af\u72c2\u6253\u5f00\u6da8\u505c\uff0c\u6210\u4ea4\u91cf\u660e\u663e\u653e\u5927\u3002\u5728\u6362\u624b\u7387\u65b9\u9762\uff0c\u7d2b\u946b\u836f\u4e1a\u3001\u6069\u534e\u836f\u4e1a\u3001\u666e\u6d1b\u80a1\u4efd\u7b4990\u591a\u53ea\u4e2a\u80a1\u6362\u624b\u7387\u8d85\u8fc710%\uff0c\u540c\u6bd4\u6709\u6240\u589e\u52a0\u3002\u6574\u4f53\u6765\u770b\uff0c\u4e24\u5e02\u8fd1\u516d\u6210\u4e2a\u80a1\u4e0a\u6da8\uff0c\u6da8\u505c\u7684\u975eST\u4e2a\u80a119\u53ea\uff0c\u6da8\u5e45\u8d85\u8fc75%\u7684\u4e2a\u80a1\u8fd160\u53ea\uff0c\u8dcc\u5e45\u8d85\u8fc75%\u7684\u4e2a\u80a19\u53ea\uff0c\u672a\u89c1\u8dcc\u505c\u7684\u975eST\u4e2a\u80a1\u3002\u91d1\u878d\u548c\u516c\u8def\u6865\u6881\u7ee7\u7eed\u6da8\u5e45\u5c45\u524d\u4eca\u65e5\u5e02\u573a\u70ed\u70b9\u4ecd\u65e7\u8f83\u4e3a\u6d3b\u8dc3\uff0c\u91d1\u878d\u548c\u516c\u8def\u6865\u6881\u677f\u5757\u7ee7\u7eed\u4f4d\u5217\u6da8\u5e45\u699c\u524d\u5217\u3002\u91d1\u878d\u677f\u5757\u53d7\u5238\u5546\u548c\u4fdd\u9669\u80a1\u7684\u5e26\u52a8\u6da8\u52bf\u559c\u4eba\uff0c\u56fd\u91d1\u8bc1\u5238\u6da8\u505c\uff0c\u4e1c\u5317\u8bc1\u5238\u3001\u897f\u5357\u8bc1\u5238\u3001\u5b8f\u6e90\u8bc1\u5238\u6da8\u5e45\u8d85\u8fc73%\uff0c\u4e2d\u56fd\u4eba\u5bff\u3001\u4e2d\u56fd\u5e73\u5b89\u3001\u4e2d\u56fd\u592a\u4fdd\u5927\u6da8\u8d85\u8fc71%\uff0c\u4e2d\u56fd\u94f6\u884c\u4e5f\u5927\u6da84.38%\uff0c\u5176\u4f59\u94f6\u884c\u80a1\u6da8\u5e45\u8d8b\u7f13\u3002\u516c\u8def\u6865\u6881\u677f\u5757\u5348\u540e\u5d1b\u8d77\uff0c\u5c71\u4e1c\u9ad8\u901f\u51b2\u51fb\u6da8\u505c\uff0c\u6df1\u9ad8\u901f\u3001\u5b81\u6caa\u9ad8\u901f\u3001\u8d63\u7ca4\u9ad8\u901f\u6da8\u5e45\u57283%\u4ee5\u4e0a\uff1bIPO\u9996\u5355\u82b1\u843d\u533b\u836f\u677f\u5757\uff0c\u751f\u7269\u533b\u836f\u677f\u5757\u53d7\u6b64\u63d0\u632f\u7ee7\u7eed\u6d3b\u8dc3\uff0c\u4f46\u4e34\u8fd1\u6536\u76d8\u6da8\u5e45\u6709\u6240\u6536\u7a84\uff0c\u7f8e\u7f57\u836f\u4e1a\u3001\u5929\u76ee\u836f\u4e1a\u3001\u5929\u575b\u751f\u7269\u7b4910\u4f59\u53ea\u4e2a\u80a1\u5c01\u6b7b\u6da8\u505c\u3002\u6b64\u5916\uff0c\u5730\u4ea7\u3001\u519c\u6797\u3001\u4ea4\u901a\u8fd0\u8f93\u7b49\u677f\u5757\u8868\u73b0\u4e5f\u76f8\u5bf9\u6d3b\u8dc3\u3002\u8d44\u6e90\u7c7b\u677f\u5757\u518d\u6b21\u5012\u6208\u8d44\u6e90\u7c7b\u677f\u5757\u518d\u6b21\u6389\u5934\u4e0b\u632b\u3002\u5e02\u573a\u4f20\u8a00\u7ba1\u7406\u5c42\u5c06\u4ecb\u5165\u7164\u70ad\u8c08\u5224\uff0c\u7535\u7164\u4ef7\u683c\u4ec5\u4ec5\u4e0a\u6da84%\uff0c\u6b64\u6d88\u606f\u538b\u5236\u7164\u70ad\u677f\u5757\u8d70\u4f4e\uff0c\u5e73\u5e84\u80fd\u6e90\u5927\u8dcc\u8d85\u8fc77%\uff0c\u9f99\u5934\u897f\u5c71\u7164\u7535\u3001\u4e2d\u7164\u80fd\u6e90\u4e5f\u9006\u52bf\u6536\u8dcc\uff0c\u4e2d\u56fd\u795e\u534e\u5c0f\u5e45\u6536\u7ea2\uff1b\u77f3\u6cb9\u677f\u5757\u8d70\u52bf\u4e5f\u5782\u5934\u4e27\u6c14\uff0c\u6dee\u6cb9\u80a1\u4efd\u3001\u9c81\u6da6\u80a1\u4efd\u3001\u8302\u534e\u5b9e\u4e1a\u8dcc\u5e45\u5c45\u524d\uff0c\u677f\u5757\u5185\u53ea\u6709\u4e2d\u56fd\u77f3\u6cb9\u5c0f\u5e45\u6536\u7ea2\uff1b\u6709\u8272\u677f\u5757\u5185\u4e2a\u80a1\u4e5f\u6089\u6570\u4e0b\u8dcc\uff0c\u6d77\u4eae\u80a1\u4efd\u3001\u4e2d\u91d1\u5cad\u5357\u3001\u897f\u90e8\u8d44\u6e90\u8dcc\u5e45\u5c45\u524d\uff0c\u4e2d\u91d1\u9ec4\u91d1\u3001\u5c71\u4e1c\u9ec4\u91d1\u7b49\u8dcc\u5e45\u8d85\u8fc71%\u3002(\u4e2d\u8bc1\u6295\u8d44 \u5f20\u7d22\u6e05)== \u540e\u5e02\u5206\u6790\uff1a\u4e0b\u5468\u80fd\u5426\u653b\u51fb3000\u70b9 \u76d8\u5f80\u9ad8\u5904\u8d70\u94b1\u5411\u4f4e\u5904\u6d41 ==\u4e0b\u5468\u5927\u76d8\u8fd0\u884c\u8def\u7ebf\u56feIPO\u7b2c\u4e00\u5355\u6b63\u5f0f\u53d1\u5e03\uff0c\u5927\u76d8\u4eca\u5929\u7684\u5f00\u76d8\u4e5f\u5f02\u5e38\u5e73\u9759\u3002\u4eca\u5929\u5e02\u573a\u7684\u6838\u5fc3\u52a8\u529b\u4f9d\u7136\u662f\u84dd\u7b79\uff0c\u91d1\u878d\u677f\u5757\u4e0a\u5348\u8d70\u52bf\u5f3a\u52b2\uff0c\u5982\u4e2d\u884c\u3001\u5efa\u884c\u7b49\u51e0\u5927\u94f6\u884c\uff0c\u4ee5\u53ca\u5238\u5546\u80a1\uff0c\u5e26\u9886\u5927\u76d8\u4e0a\u5348\u9707\u8361\u4e0a\u884c\uff1b\u4e0b\u5348\u4e2d\u77f3\u6cb9\u3001\u4e09\u5927\u94f6\u884c\u5219\u7ee7\u7eed\u53d1\u529b\uff0c\u5927\u76d8\u518d\u6b21\u521b\u51fa\u65b0\u9ad8\u3002\u84dd\u7b79\u677f\u5757\u7684\u5f3a\u52bf\u4e5f\u4f7f\u5f975\u6708\u4efd\u4e4b\u524d\u66fe\u5927\u5e45\u7092\u4f5c\u7684\u9898\u6750\u677f\u5757\u518d\u6b21\u9006\u52bf\u4e0b\u8dcc\uff0c\u5176\u4e2d\u56de\u843d\u6700\u660e\u663e\u7684\u5c31\u662f\u65b0\u80fd\u6e90\u6982\u5ff5\u3002\u8b6c\u5982\u91d1\u98ce\u79d1\u6280\u3001\u98ce\u5e06\u80a1\u4efd\u7b49\u524d\u671f\u7684\u65b0\u80fd\u6e90\u9f99\u5934\u4e2a\u80a1\u4eca\u5929\u9006\u52bf\u4e0b\u8dcc\uff0c\u5176\u5b83\u8fd8\u6709\u7279\u53d8\u7535\u5de5\uff0c\u4e5f\u540c\u6837\u8d70\u51fa\u7834\u4f4d\u4e0b\u8dcc\u7684\u8d70\u52bf\u3002\u6628\u5929\u6709\u4fe1\u606f\u663e\u793a\uff0c\u7ba1\u7406\u5c42\u53ef\u80fd\u5c06\u65b0\u80fd\u6e90\u7684\u632f\u5174\u89c4\u5212\u89c4\u6a21\u6269\u5927\u4e00\u500d\uff0c\u6628\u65e5\u65b0\u80fd\u6e90\u677f\u5757\u4e00\u5ea6\u5f3a\u52bf\u53cd\u5f39\u3002\u4e0d\u8fc7\u6211\u5efa\u8bae\uff0c\u7ecf\u6d4e\u590d\u82cf\u3001\u84dd\u7b79\u4e3a\u738b\u7684\u80cc\u666f\u4e0b\uff0c\u65b0\u80fd\u6e90\u9898\u6750\u7684\u7092\u4f5c\u5f88\u96be\u6301\u7eed\uff0c\u5e94\u5f53\u501f\u52a9\u5229\u597d\u7684\u53d1\u5e03\u53cd\u5f39\u51cf\u8f7b\u4ed3\u4f4d\u3002\u540e\u5e02\u8fd9\u4e00\u7b56\u7565\u4f9d\u7136\u4e0d\u53d8\uff0c\u9ad8\u629b\u9898\u6750(\u524d\u51e0\u4e2a\u6708\u5927\u5e45\u7092\u4f5c\u7684)\uff0c\u4f4e\u4e70\u84dd\u7b79\u3002\u6628\u65e5\u5927\u76d8\u521b\u65b0\u9ad8\u800c\u51fa\u73b0\u8865\u6da8\u7684\u7164\u70ad\u3001\u6709\u8272\u91d1\u5c5e\u677f\u5757\u4eca\u5929\u6574\u4f53\u5c0f\u5e45\u56de\u843d\uff0c\u4e3b\u8981\u539f\u56e0\u5728\u4e8e\u5168\u7403\u539f\u6cb9\u3001\u6709\u8272\u91d1\u5c5e\u671f\u8d27\u4ef7\u683c\u8d70\u52bf\u5e73\u6de1\uff0c\u8fd9\u4e24\u4e2a\u84dd\u7b79\u677f\u5757\u4f9d\u7136\u53ef\u4ee5\u7ee7\u7eed\u6301\u6709\uff0c\u5176\u8d70\u52bf\u5c06\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u53d7\u5230\u5546\u54c1\u671f\u8d27\u4ef7\u683c\u7684\u5f71\u54cd\u3002\u5bf9\u4e8e\u7f8e\u56fd\u7684\u7ecf\u6d4e\u6570\u636e\uff0c\u6211\u8ba4\u4e3a\u867d\u7136\u90e8\u5206\u7ecf\u6d4e\u6570\u636e\u4e0d\u4e50\u89c2\uff0c\u4f46\u662f\u81ea4\u6708\u4efd\u4ee5\u6765\uff0c\u6574\u4f53\u7684\u7ecf\u6d4e\u6570\u636e\u503e\u5411\u4e8e\u8fdb\u4e00\u6b65\u597d\u8f6c\u3002\u56e0\u6b64\uff0c\u7f8e\u56fd\u80a1\u5e02\u7684\u9707\u8361\u4e0a\u884c\u7684\u901a\u9053\u4f9d\u7136\u4f1a\u7ef4\u6301\u4e0b\u53bb\u3002\u867d\u7136\u7f8e\u56fd\u80a1\u5e02\u7684\u8d70\u52bf\u5bf9\u4e8eA\u80a1\u6ca1\u6709\u51b3\u5b9a\u6027\u5f71\u54cd\uff0c\u4f46\u662f\u7f8e\u80a1\u8d70\u52bf\u4f1a\u5f71\u54cd\u5168\u7403\uff0c\u8fdb\u800c\u5728\u4e00\u5b9a\u9636\u6bb5\u5185\u5bf9A\u80a1\u5927\u76d8\u4ea7\u751f\u4f5c\u7528\u3002\u56e0\u6b64\u6211\u4eec\u5728\u5206\u6790\u65f6\uff0c\u5e94\u8be5\u5c06\u7f8e\u56fd\u7ecf\u6d4e\u7684\u8d70\u52bf\u548c\u80a1\u5e02\u8d70\u52bf\u4f5c\u4e3a\u4e00\u4e2a\u53c2\u8003\u4f9d\u636e\u3002\u9700\u8981\u8865\u5145\u7684\u4e00\u70b9\u662f\uff0c\u76ee\u524d\u4e2d\u56fd\u7ecf\u6d4e\u4e3b\u8981\u4f9d\u9760\u5927\u529b\u6269\u5927\u6295\u8d44(\u56fa\u5b9a\u8d44\u4ea7\u6295\u8d44)\u548c\u7a33\u5065\u7684\u6d88\u8d39\u523a\u6fc0\uff0c\u800c\u6295\u8d44\u7684\u589e\u957f\u662f\u6709\u9650\u5ea6\u7684\uff0c\u8fc7\u5206\u7684\u589e\u957f\u5c06\u5e26\u6765\u7ecf\u6d4e\u8fc7\u70ed\u901a\u80c0\u7b49\u95ee\u9898\uff0c\u672a\u6765\u8981\u8fdb\u4e00\u6b65\u589e\u957f\uff0c\u8fd8\u9700\u8981\u501f\u52a9\u51fa\u53e3\u3002\u800c\u51fa\u53e3\u7684\u589e\u957f\u5728\u672c\u8d28\u4e0a\u53d6\u51b3\u4e8e\u7f8e\u56fd\u7ecf\u6d4e\u7684\u590d\u82cf\u8fdb\u7a0b\u3002\u4e0b\u5468\u9884\u8ba1\u5927\u76d8\u57282800-2900\u533a\u95f4\u9ad8\u4f4d\u5f3a\u52bf\u9707\u8361\uff0c\u4e50\u89c2\u7684\u8bdd\u57282800-2950\u4e00\u5e26\u9707\u8361\u3002\u4f55\u65f6\u653b\u78342900-3000\u533a\u95f4\u7684\u8d85\u5f3a\u963b\u529b\uff0c\u6211\u4e2a\u4eba\u8ba4\u4e3a\u9700\u8981\u4f9d\u8d56\u4e8e7\u6708\u4e0a\u4e2d\u65ec\u7684\u7ecf\u6d4e\u6570\u636e\u3002 (\u4f55\u7fa4\u8363)\u4e0b\u5468\u76d8\u5f80\u9ad8\u5904\u8d70 \u94b1\u5411\u4f4e\u5904\u6d41\u5927\u76d8\u4e0a\u6da8\u4e00\u5468\u4e4b\u540e\uff0c\u6295\u8d44\u8005\u5173\u5fc3\u7684\u662f\uff0c\u4e0b\u5468\u884c\u60c5\u53c8\u4f1a\u5982\u4f55\uff1f\u6211\u7684\u89c2\u70b9\u662f\uff1a\u5927\u76d8\u5f80\u9ad8\u5904\u8d70\uff0c\u8d44\u91d1\u5411\u4f4e\u5904\u6d41\u3002\u8fd1\u671f\u5efa\u8bbe\u94f6\u884c\uff0c\u5de5\u5546\u94f6\u884c\uff0c\u4e2d\u56fd\u94f6\u884c\u4e3a\u4ee3\u8868\u7684\u4f4e\u4ef7\u56fd\u6709\u94f6\u884c\u51fa\u73b0\u5168\u9762\u8865\u6da8\uff0c\u539f\u56e0\u662f\u65b0\u589e\u8d44\u91d1\u5927\u4e3e\u6d41\u5165\uff0c\u6210\u4e3a\u63a8\u52a8\u5927\u76d8\u5411\u4e0a\u7684\u4e3b\u8981\u529b\u91cf\u3002\u8fd9\u4e9b\u94f6\u884c\u80a1\u7968\uff0c\u4e5f\u662f\u4f4e\u4ef7\u80a1\uff0c\u4e5f\u662f\u4f4e\u5e02\u76c8\u7387\u80a1\uff0c\u6d41\u5165\u8fd9\u4e9b\u80a1\u7968\u4e2d\u7684\u8d44\u91d1\uff0c\u5c31\u5176\u9009\u80a1\u98ce\u683c\u4e0e\u8d44\u91d1\u5b9e\u529b\u6765\u770b\uff0c\u5e94\u662f\u4ee5\u673a\u6784\u8d44\u91d1\u4e3a\u4e3b\uff0c\u5f15\u53d1\u6e38\u8d44\u8ddf\u98ce\u6548\u5e94\u3002\u4e2d\u56fd\u5357\u8f66(601766)\uff0c\u4eca\u5929\u7a81\u7136\u5de8\u91cf\u8d44\u91d1\u4ecb\u5165\u5c01\u6b7b\u6da8\u505c\u3002\u56db\u5143\u591a\u7684\u4e2d\u56fd\u5357\u8f66\uff0c\u4e00\u76f4\u5f88\u5c11\u8fdb\u5165\u6295\u8d44\u8005\u7684\u89c6\u91ce\uff0c\u73b0\u5728\u8865\u6da8\uff0c\u5f3a\u529b\u8d44\u91d1\u4ecb\u5165\uff0c\u5e26\u52a8\u94c1\u8def\uff0c\u9ad8\u901f\u516c\u8def\uff0c\u673a\u573a\u7b49\u76f8\u5173\u80a1\u7968\u8054\u52a8\u4e0a\u6da8\uff0c\u8054\u52a8\u8865\u6da8\u3002\u8fd9\u4e9b\u80a1\u7968\uff0c\u5927\u591a\u662f\u6b64\u524d\u6da8\u5e45\u6ede\u540e\u7684\u4e8c\u7ebf\u4f4e\u4ef7\u84dd\u7b79\u54c1\u79cd\uff0c\u8fd9\u4e9b\u80a1\u7968\u8865\u6da8\uff0c\u4e0e\u94f6\u884c\u677f\u5757\u7684\u8865\u6da8\u4e00\u6837\uff0c\u663e\u793a\u65b0\u589e\u201c\u8d44\u91d1\u5411\u4f4e\u5904\u6d41\u201d\u7684\u8d8b\u5411\u4ecd\u5728\u7ee7\u7eed\uff0c\u5728\u6269\u6563\u3002\u518d\u770b\u770b\u76d8\u9762\uff1a\u8fde\u7eed\u6da8\u505c\u7684\u80a1\u7968\uff0c\u4e3b\u8981\u662f\u4f4e\u4ef7\u80a1\uff1b\u91cd\u5927\u8d44\u4ea7\u91cd\u7ec4\u7684\u80a1\u7968\uff0c\u5927\u591a\u662f\u4f4e\u4ef7\u80a1\uff1b\u6bcf\u5929\u76d8\u9762\u6da8\u5e45\u9760\u524d\u7684\u80a1\u7968\uff0c\u5927\u591a\u662f\u4f4e\u4ef7\u80a1\uff1b\u6bcf\u5929\u6210\u4ea4\u91cf\u6392\u540d\u524d\u51e0\u4f4d\uff0c\u6e05\u4e00\u8272\u7684\u4f4e\u4ef7\u80a1\u3002\u4f4e\u4ef7\u8865\u6da8\uff0c\u6210\u4e3a\u8fd1\u671f\u8d44\u91d1\u7684\u4e3b\u8981\u6d41\u5411\u3002\u6211\u8ba4\u4e3a\uff1a\u4e0b\u5468\u5927\u76d8\uff0c\u4ecd\u7136\u4f1a\u4ee5\u5411\u4e0a\u9707\u8361\u4e3a\u4e3b\u3002\u9009\u80a1\u65b9\u9762\uff0c\u4e0d\u59a8\u91cd\u70b9\u8003\u8651\u4f4e\u4ef7\uff0c\u8865\u6da8\u3002\u4e00\u76f4\u6bd4\u8f83\u770b\u597d\u6caa\u6df1\u4e24\u5e02\u672c\u5730\u4f4e\u4ef7\u80a1\uff0c\u56e0\u4e3a\u5b83\u4eec\u80a1\u6027\u6d3b\uff0c\u9898\u6750\u4e30\u5bcc\uff0c\u5efa\u8bae\u5728\u8be6\u7ec6\u7814\u7a76\u516c\u53f8\u76f8\u5173\u8d44\u6599\u7684\u57fa\u7840\u4e0a\uff0c\u9002\u5f53\u8ddf\u8e2a\u3001\u5173\u6ce8\u3002(\u53f6\u5f18)" } ] ``` ### Dataset Fields The dataset has the following fields (also called "features"): ```json { "target": "Value(dtype='string', id=None)", "text": "Value(dtype='string', id=None)" } ``` ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow: | Split name | Num samples | | ------------ | ------------------- | | train | 151575 | | valid | 37894 |
Tychema/autotrain-data-ceconomysumdataset
[ "task_categories:summarization", "region:us" ]
2023-10-07T07:57:16+00:00
{"task_categories": ["summarization"]}
2023-10-07T08:18:23+00:00
[]
[]
TAGS #task_categories-summarization #region-us
AutoTrain Dataset for project: ceconomysumdataset ================================================= Dataset Description ------------------- This dataset has been automatically processed by AutoTrain for project ceconomysumdataset. ### Languages The BCP-47 code for the dataset's language is unk. Dataset Structure ----------------- ### Data Instances A sample from this dataset looks as follows: ### Dataset Fields The dataset has the following fields (also called "features"): ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow:
[ "### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nA sample from this dataset looks as follows:", "### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):", "### Dataset Splits\n\n\nThis dataset is split into a train and validation split. The split sizes are as follow:" ]
[ "TAGS\n#task_categories-summarization #region-us \n", "### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nA sample from this dataset looks as follows:", "### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):", "### Dataset Splits\n\n\nThis dataset is split into a train and validation split. The split sizes are as follow:" ]
[ 16, 27, 17, 23, 27 ]
[ "passage: TAGS\n#task_categories-summarization #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):### Dataset Splits\n\n\nThis dataset is split into a train and validation split. The split sizes are as follow:" ]
b5d27da301d4388533ede20318d7745f489a7e8e
# Dataset Card for "german_OpenOrca17" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca17
[ "region:us" ]
2023-10-07T08:44:50+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 393410073, "num_examples": 233923}], "download_size": 225878886, "dataset_size": 393410073}}
2023-10-07T08:45:23+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca17" More Information needed
[ "# Dataset Card for \"german_OpenOrca17\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca17\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca17\"\n\nMore Information needed" ]
8d90dd62c1e06d76a5b8214ac264c04077db9d64
# Dataset Card for Flickr 30k Romanian Captions ### Dataset Summary This dataset is a translation in romanian of the flickr 30k captions dataset. This was generated using [nllb-200-distilled-1.3B](https://huggingface.co/facebook/nllb-200-distilled-1.3B), with Hugging face for both tokenization and translation. Observations: * the translation keeps the context pretty well. * there are a few grammatical errors: "Doi tineri sare peste un balustradă" * some translations are silly: "Un bărbat ţine o jucărie mare de leu împăiat.", "Un bărbat cu barbă care poartă un dulap." ### Languages romanian
vladman-25/flickr-30k-romanian-captions
[ "license:unknown", "region:us" ]
2023-10-07T09:39:06+00:00
{"license": "unknown"}
2023-10-07T09:54:18+00:00
[]
[]
TAGS #license-unknown #region-us
# Dataset Card for Flickr 30k Romanian Captions ### Dataset Summary This dataset is a translation in romanian of the flickr 30k captions dataset. This was generated using nllb-200-distilled-1.3B, with Hugging face for both tokenization and translation. Observations: * the translation keeps the context pretty well. * there are a few grammatical errors: "Doi tineri sare peste un balustradă" * some translations are silly: "Un bărbat ţine o jucărie mare de leu împăiat.", "Un bărbat cu barbă care poartă un dulap." ### Languages romanian
[ "# Dataset Card for Flickr 30k Romanian Captions", "### Dataset Summary\n\nThis dataset is a translation in romanian of the flickr 30k captions dataset. \nThis was generated using nllb-200-distilled-1.3B, with Hugging face for both tokenization and translation.\nObservations:\n* the translation keeps the context pretty well.\n* there are a few grammatical errors: \"Doi tineri sare peste un balustradă\"\n* some translations are silly: \"Un bărbat ţine o jucărie mare de leu împăiat.\", \"Un bărbat cu barbă care poartă un dulap.\"", "### Languages\n\nromanian" ]
[ "TAGS\n#license-unknown #region-us \n", "# Dataset Card for Flickr 30k Romanian Captions", "### Dataset Summary\n\nThis dataset is a translation in romanian of the flickr 30k captions dataset. \nThis was generated using nllb-200-distilled-1.3B, with Hugging face for both tokenization and translation.\nObservations:\n* the translation keeps the context pretty well.\n* there are a few grammatical errors: \"Doi tineri sare peste un balustradă\"\n* some translations are silly: \"Un bărbat ţine o jucărie mare de leu împăiat.\", \"Un bărbat cu barbă care poartă un dulap.\"", "### Languages\n\nromanian" ]
[ 13, 12, 129, 6 ]
[ "passage: TAGS\n#license-unknown #region-us \n# Dataset Card for Flickr 30k Romanian Captions### Dataset Summary\n\nThis dataset is a translation in romanian of the flickr 30k captions dataset. \nThis was generated using nllb-200-distilled-1.3B, with Hugging face for both tokenization and translation.\nObservations:\n* the translation keeps the context pretty well.\n* there are a few grammatical errors: \"Doi tineri sare peste un balustradă\"\n* some translations are silly: \"Un bărbat ţine o jucărie mare de leu împăiat.\", \"Un bărbat cu barbă care poartă un dulap.\"### Languages\n\nromanian" ]
f7c7832b1a0316b80eea6aa1eb7f12b09cb367fe
约 1300 条 **C 语言** 场景的 user - assistant **多轮对话**。每段对话已经组织成了单行的格式。一条样例如下: ```JSON { "id": 1045, "conversation": [ { "user": "你好,AI助手。我最近在写一个C语言程序,但是遇到了一些问题,希望你能帮我检查一下。", "assistant": "你好,我很乐意帮助你。请把你的代码发给我,我会尽快检查并给出建议。" }, { "user": "好的,这是我的代码。这段代码的主要功能是计算斐波那契数列的前n项。", "assistant": "让我看一下......嗯,这里有一个小错误。在第10行,你应该使用`++i`而不是`i++`来递增i的值。修改后的代码应该是这样的\\n```c\\nfor (int i = 0; i < n; ++i) {\\n if (i == 0 || i == 1) {\\n printf(\\\"%d \\\", fib[i]);\\n } else {\\n fib[i] = fib[i - 1] + fib[i - 2];\\n printf(\\\"%d \\\", fib[i]);\\n }\\n}\\n```" }, { "user": "谢谢你的帮助!我还有一个问题。这段代码中有一个递归函数,用于计算斐波那契数列。但是我发现这个递归函数的效率很低,因为它会重复计算很多相同的子问题。有什么方法可以优化这个递归函数吗?", "assistant": "当然可以。你可以尝试使用动态规划的方法来优化这个递归函数。这样可以将已经计算过的子问题的解存储起来,避免重复计算。下面是一个使用动态规划优化后的斐波那契数列计算函数\\n```c\\n#include <stdio.h>\\nint fib[100]; // 用于存储斐波那契数列的数组\\nvoid fib_dp(int n) {\\n fib[0] = 0;\\n fib[1] = 1;\\n for (int i = 2; i <= n; ++i) {\\n fib[i] = fib[i - 1] + fib[i - 2];\\n }\\n}\\nint main() {\\n int n = 10; // 你想要计算的斐波那契数列的项数\\n fib_dp(n);\\n for (int i = 0; i <= n; ++i) {\\n printf(\\\"%d \\\", fib[i]);\\n }\\n return 0;\\n}\\n```" }, { "user": "哇,这真是太棒了!你的建议大大提高了程序的运行速度。再次感谢你的帮助!\n", "assistant": "" } ] } ``` 所有的助手称呼均为“AI助手”,如果想要构建特定名称,**可以全局替换“AI助手”。**
Mxode/C-Language-Chat-Debug-Multiturn-Zh
[ "task_categories:question-answering", "task_categories:conversational", "language:zh", "license:apache-2.0", "code", "C", "chat", "assistant", "multiturn", "debug", "region:us" ]
2023-10-07T09:48:11+00:00
{"language": ["zh"], "license": "apache-2.0", "task_categories": ["question-answering", "conversational"], "tags": ["code", "C", "chat", "assistant", "multiturn", "debug"]}
2023-10-07T09:52:26+00:00
[]
[ "zh" ]
TAGS #task_categories-question-answering #task_categories-conversational #language-Chinese #license-apache-2.0 #code #C #chat #assistant #multiturn #debug #region-us
约 1300 条 C 语言 场景的 user - assistant 多轮对话。每段对话已经组织成了单行的格式。一条样例如下: c\\nfor (int i = 0; i < n; ++i) {\\n if (i == 0 || i == 1) {\\n printf(\\\"%d \\\", fib[i]);\\n } else {\\n fib[i] = fib[i - 1] + fib[i - 2];\\n printf(\\\"%d \\\", fib[i]);\\n }\\n}\\nc\\n#include <stdio.h>\\nint fib[100]; // 用于存储斐波那契数列的数组\\nvoid fib_dp(int n) {\\n fib[0] = 0;\\n fib[1] = 1;\\n for (int i = 2; i <= n; ++i) {\\n fib[i] = fib[i - 1] + fib[i - 2];\\n }\\n}\\nint main() {\\n int n = 10; // 你想要计算的斐波那契数列的项数\\n fib_dp(n);\\n for (int i = 0; i <= n; ++i) {\\n printf(\\\"%d \\\", fib[i]);\\n }\\n return 0;\\n}\\n 所有的助手称呼均为“AI助手”,如果想要构建特定名称,可以全局替换“AI助手”。
[]
[ "TAGS\n#task_categories-question-answering #task_categories-conversational #language-Chinese #license-apache-2.0 #code #C #chat #assistant #multiturn #debug #region-us \n" ]
[ 57 ]
[ "passage: TAGS\n#task_categories-question-answering #task_categories-conversational #language-Chinese #license-apache-2.0 #code #C #chat #assistant #multiturn #debug #region-us \n" ]
f72b3c71231172dcf13dd31cb208ae7a400a2b17
# cricket-wiki ```bash # data preparation steps pip install wikiextractor wget -c https://dumps.wikimedia.org/enwiki/latest/enwiki-latest-pages-articles-multistream.xml.bz2 # extract files using wikiextractor (take a few hours) python3 -m wikiextractor.WikiExtractor enwiki-latest-pages-articles-multistream.xml.bz2 --json # get cricket records in a separate file # take a few minutes grep -i cricket text/*/* > cricket.jsonl ```
Ankush-Chander/cricket-wiki
[ "task_categories:question-answering", "size_categories:10K<n<100K", "language:en", "license:apache-2.0", "cricket", "region:us" ]
2023-10-07T09:56:33+00:00
{"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["question-answering"], "tags": ["cricket"]}
2023-10-11T03:22:37+00:00
[]
[ "en" ]
TAGS #task_categories-question-answering #size_categories-10K<n<100K #language-English #license-apache-2.0 #cricket #region-us
# cricket-wiki
[ "# cricket-wiki" ]
[ "TAGS\n#task_categories-question-answering #size_categories-10K<n<100K #language-English #license-apache-2.0 #cricket #region-us \n", "# cricket-wiki" ]
[ 45, 5 ]
[ "passage: TAGS\n#task_categories-question-answering #size_categories-10K<n<100K #language-English #license-apache-2.0 #cricket #region-us \n# cricket-wiki" ]
1a1346404443eb34eabf606ca14e5b6decd768fc
# Dataset Card for "massive_eng_DA3_tokenized" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
carnival13/massive_eng_DA3_tokenized
[ "region:us" ]
2023-10-07T09:59:28+00:00
{"dataset_info": {"features": [{"name": "pass_label", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 97253830, "num_examples": 138200}], "download_size": 22040467, "dataset_size": 97253830}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T09:59:35+00:00
[]
[]
TAGS #region-us
# Dataset Card for "massive_eng_DA3_tokenized" More Information needed
[ "# Dataset Card for \"massive_eng_DA3_tokenized\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"massive_eng_DA3_tokenized\"\n\nMore Information needed" ]
[ 6, 21 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"massive_eng_DA3_tokenized\"\n\nMore Information needed" ]
2fa0a668e74c2a8e44db1a8a144389c35c578fc9
# Dataset Card for "massive_val_DA5_tokenized" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
carnival13/massive_val_DA5_tokenized
[ "region:us" ]
2023-10-07T10:03:04+00:00
{"dataset_info": {"features": [{"name": "pass_label", "dtype": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 16518310, "num_examples": 24160}], "download_size": 3778628, "dataset_size": 16518310}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T10:03:09+00:00
[]
[]
TAGS #region-us
# Dataset Card for "massive_val_DA5_tokenized" More Information needed
[ "# Dataset Card for \"massive_val_DA5_tokenized\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"massive_val_DA5_tokenized\"\n\nMore Information needed" ]
[ 6, 21 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"massive_val_DA5_tokenized\"\n\nMore Information needed" ]
f7d434c465b8039e1e485be0aba2908e650c9340
+ Instruction dataset for fine-tuning + Dataset contains original dataset [lima, orca-mini, alpaca data, alpaca finance, GPTeacher] and their Vietnamese translations + Suggested use cases: Fine-tuning Vietnamese LLM
infCapital/vietllama-tiny-envi
[ "task_categories:question-answering", "language:vi", "language:en", "license:apache-2.0", "region:us" ]
2023-10-07T10:17:24+00:00
{"language": ["vi", "en"], "license": "apache-2.0", "task_categories": ["question-answering"]}
2023-10-09T08:02:41+00:00
[]
[ "vi", "en" ]
TAGS #task_categories-question-answering #language-Vietnamese #language-English #license-apache-2.0 #region-us
+ Instruction dataset for fine-tuning + Dataset contains original dataset [lima, orca-mini, alpaca data, alpaca finance, GPTeacher] and their Vietnamese translations + Suggested use cases: Fine-tuning Vietnamese LLM
[]
[ "TAGS\n#task_categories-question-answering #language-Vietnamese #language-English #license-apache-2.0 #region-us \n" ]
[ 37 ]
[ "passage: TAGS\n#task_categories-question-answering #language-Vietnamese #language-English #license-apache-2.0 #region-us \n" ]
a1feef074ae0580338cf2dd8e98a43ca98637fa6
# Dataset Card for Wikipedia Movie Plots with AI Plot Summaries ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** https://kaggle.com/datasets/gabrieltardochi/wikipedia-movie-plots-with-plot-summaries - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary ### Context Wikipedia Movies Plots dataset by JustinR ( https://www.kaggle.com/jrobischon/wikipedia-movie-plots ) ### Content Everything is the same as in https://www.kaggle.com/jrobischon/wikipedia-movie-plots ### Acknowledgements Please, go upvote https://www.kaggle.com/jrobischon/wikipedia-movie-plots dataset, since this is 100% based on that. ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators This dataset was shared by [@gabrieltardochi](https://kaggle.com/gabrieltardochi) ### Licensing Information The license for this dataset is cc-by-sa-4.0 ### Citation Information ```bibtex [More Information Needed] ``` ### Contributions [More Information Needed]
vishnupriyavr/wiki-movie-plots-with-summaries
[ "license:cc-by-sa-4.0", "region:us" ]
2023-10-07T10:47:01+00:00
{"license": ["cc-by-sa-4.0"], "converted_from": "kaggle", "kaggle_id": "gabrieltardochi/wikipedia-movie-plots-with-plot-summaries"}
2023-10-08T10:58:09+00:00
[]
[]
TAGS #license-cc-by-sa-4.0 #region-us
# Dataset Card for Wikipedia Movie Plots with AI Plot Summaries ## Table of Contents - Table of Contents - Dataset Description - Dataset Summary - Supported Tasks and Leaderboards - Languages - Dataset Structure - Data Instances - Data Fields - Data Splits - Dataset Creation - Curation Rationale - Source Data - Annotations - Personal and Sensitive Information - Considerations for Using the Data - Social Impact of Dataset - Discussion of Biases - Other Known Limitations - Additional Information - Dataset Curators - Licensing Information - Citation Information - Contributions ## Dataset Description - Homepage: URL - Repository: - Paper: - Leaderboard: - Point of Contact: ### Dataset Summary ### Context Wikipedia Movies Plots dataset by JustinR ( URL ) ### Content Everything is the same as in URL ### Acknowledgements Please, go upvote URL dataset, since this is 100% based on that. ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators This dataset was shared by @gabrieltardochi ### Licensing Information The license for this dataset is cc-by-sa-4.0 ### Contributions
[ "# Dataset Card for Wikipedia Movie Plots with AI Plot Summaries", "## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary", "### Context\nWikipedia Movies Plots dataset by JustinR ( URL )", "### Content\nEverything is the same as in URL", "### Acknowledgements\nPlease, go upvote URL dataset, since this is 100% based on that.", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators\n\nThis dataset was shared by @gabrieltardochi", "### Licensing Information\n\nThe license for this dataset is cc-by-sa-4.0", "### Contributions" ]
[ "TAGS\n#license-cc-by-sa-4.0 #region-us \n", "# Dataset Card for Wikipedia Movie Plots with AI Plot Summaries", "## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary", "### Context\nWikipedia Movies Plots dataset by JustinR ( URL )", "### Content\nEverything is the same as in URL", "### Acknowledgements\nPlease, go upvote URL dataset, since this is 100% based on that.", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators\n\nThis dataset was shared by @gabrieltardochi", "### Licensing Information\n\nThe license for this dataset is cc-by-sa-4.0", "### Contributions" ]
[ 17, 14, 125, 25, 6, 16, 10, 24, 10, 4, 6, 6, 5, 5, 5, 7, 4, 10, 10, 5, 5, 9, 8, 8, 7, 8, 7, 5, 18, 21, 5 ]
[ "passage: TAGS\n#license-cc-by-sa-4.0 #region-us \n# Dataset Card for Wikipedia Movie Plots with AI Plot Summaries## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions## Dataset Description\n\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:### Dataset Summary### Context\nWikipedia Movies Plots dataset by JustinR ( URL )### Content\nEverything is the same as in URL### Acknowledgements\nPlease, go upvote URL dataset, since this is 100% based on that.### Supported Tasks and Leaderboards### Languages## Dataset Structure### Data Instances### Data Fields### Data Splits## Dataset Creation### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators\n\nThis dataset was shared by @gabrieltardochi### Licensing Information\n\nThe license for this dataset is cc-by-sa-4.0### Contributions" ]
b941f8a95f191d5a65da8d8977bb477107743048
# Dataset Card for "Mistral_v102Mistreal" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mjbuehler/Mistral_v102Mistreal
[ "region:us" ]
2023-10-07T10:52:36+00:00
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 29736437, "num_examples": 22282}], "download_size": 13450961, "dataset_size": 29736437}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T10:52:39+00:00
[]
[]
TAGS #region-us
# Dataset Card for "Mistral_v102Mistreal" More Information needed
[ "# Dataset Card for \"Mistral_v102Mistreal\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"Mistral_v102Mistreal\"\n\nMore Information needed" ]
[ 6, 18 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"Mistral_v102Mistreal\"\n\nMore Information needed" ]
392b748afef23d97c9ace9ea4344725733c89f05
# Dataset Card for "joangaes-depression-es" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Intuit-GenSRF/joangaes-depression-es
[ "region:us" ]
2023-10-07T11:00:20+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "labels", "sequence": "string"}, {"name": "processed_text", "sequence": "string"}, {"name": "num_tokens", "dtype": "int64"}, {"name": "text_es", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 31578828, "num_examples": 25828}], "download_size": 19244935, "dataset_size": 31578828}}
2023-10-07T11:00:23+00:00
[]
[]
TAGS #region-us
# Dataset Card for "joangaes-depression-es" More Information needed
[ "# Dataset Card for \"joangaes-depression-es\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"joangaes-depression-es\"\n\nMore Information needed" ]
[ 6, 18 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"joangaes-depression-es\"\n\nMore Information needed" ]
59afd0e0838dc2671d6382b57e0d2266095990b8
# Dataset Card for "test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
stepkurniawan/test
[ "region:us" ]
2023-10-07T11:07:46+00:00
{"dataset_info": [{"config_name": "default", "features": [{"name": "pokemon", "dtype": "string"}, {"name": "type", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43, "num_examples": 2}], "download_size": 1215, "dataset_size": 43}, {"config_name": "starters", "features": [{"name": "pokemon", "dtype": "string"}, {"name": "type", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 65, "num_examples": 3}], "download_size": 0, "dataset_size": 65}], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}, {"config_name": "starters", "data_files": [{"split": "train", "path": "starters/train-*"}]}]}
2023-11-28T05:27:24+00:00
[]
[]
TAGS #region-us
# Dataset Card for "test" More Information needed
[ "# Dataset Card for \"test\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"test\"\n\nMore Information needed" ]
[ 6, 11 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"test\"\n\nMore Information needed" ]
57d581ff2bb13cec9c7d56d71f27d40319446c59
# Dataset Card for "github_typo_corrections" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
chirunder/github_typo_corrections
[ "region:us" ]
2023-10-07T11:28:52+00:00
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "correction", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 68105376, "num_examples": 353055}], "download_size": 40664263, "dataset_size": 68105376}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T11:28:55+00:00
[]
[]
TAGS #region-us
# Dataset Card for "github_typo_corrections" More Information needed
[ "# Dataset Card for \"github_typo_corrections\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"github_typo_corrections\"\n\nMore Information needed" ]
[ 6, 19 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"github_typo_corrections\"\n\nMore Information needed" ]
dfd5f1844fab5578d9a745fd3d344c19a110a0b6
### Dataset Summary This repository comprises three distinct datasets: 1. **Character Descriptions from 12 Authors across 4 Countries** Character descriptions authored by a diverse group of writers. 2. **Character Descriptions labeled with Mental Disorders using Cosine Similarity** Character descriptions annotated with labels corresponding to mental disorders. 3. **Data on Mental Disorders** Data pertaining to mental disorders. ### Languages - English ## Dataset Creation - Character Descriptions datasets were generated by initiating prompts with ChatGPT. - Character Descriptions were annotated using Cosine Similarity. - Data on Mental Disorders was extracted through scraping the International Classification of Diseases (ICD). ### Contributors - Daniil Gurgurov - Nursulu Sagimbayeva - Antonia Wächter - Asmaa Ibrahim ### Additional Details - Project Website: [Link to Project Website](https://d-gurgurov.github.io/projects/project1.html) - Deep Learning for Literary Analysis Report: [Link to Report](https://github.com/d-gurgurov/dl_for_text_analysis/blob/main/Deep_Learning_for_Literary_Analysis_Report.pdf)
DGurgurov/mental_disorders_data
[ "region:us" ]
2023-10-07T11:48:46+00:00
{}
2023-10-07T12:08:58+00:00
[]
[]
TAGS #region-us
### Dataset Summary This repository comprises three distinct datasets: 1. Character Descriptions from 12 Authors across 4 Countries Character descriptions authored by a diverse group of writers. 2. Character Descriptions labeled with Mental Disorders using Cosine Similarity Character descriptions annotated with labels corresponding to mental disorders. 3. Data on Mental Disorders Data pertaining to mental disorders. ### Languages - English ## Dataset Creation - Character Descriptions datasets were generated by initiating prompts with ChatGPT. - Character Descriptions were annotated using Cosine Similarity. - Data on Mental Disorders was extracted through scraping the International Classification of Diseases (ICD). ### Contributors - Daniil Gurgurov - Nursulu Sagimbayeva - Antonia Wächter - Asmaa Ibrahim ### Additional Details - Project Website: Link to Project Website - Deep Learning for Literary Analysis Report: Link to Report
[ "### Dataset Summary\n\nThis repository comprises three distinct datasets:\n\n1. Character Descriptions from 12 Authors across 4 Countries\n Character descriptions authored by a diverse group of writers.\n\n2. Character Descriptions labeled with Mental Disorders using Cosine Similarity\n Character descriptions annotated with labels corresponding to mental disorders.\n\n3. Data on Mental Disorders\n Data pertaining to mental disorders.", "### Languages\n\n- English", "## Dataset Creation\n- Character Descriptions datasets were generated by initiating prompts with ChatGPT.\n- Character Descriptions were annotated using Cosine Similarity.\n- Data on Mental Disorders was extracted through scraping the International Classification of Diseases (ICD).", "### Contributors\n\n- Daniil Gurgurov\n- Nursulu Sagimbayeva\n- Antonia Wächter\n- Asmaa Ibrahim", "### Additional Details\n\n- Project Website: Link to Project Website\n- Deep Learning for Literary Analysis Report: Link to Report" ]
[ "TAGS\n#region-us \n", "### Dataset Summary\n\nThis repository comprises three distinct datasets:\n\n1. Character Descriptions from 12 Authors across 4 Countries\n Character descriptions authored by a diverse group of writers.\n\n2. Character Descriptions labeled with Mental Disorders using Cosine Similarity\n Character descriptions annotated with labels corresponding to mental disorders.\n\n3. Data on Mental Disorders\n Data pertaining to mental disorders.", "### Languages\n\n- English", "## Dataset Creation\n- Character Descriptions datasets were generated by initiating prompts with ChatGPT.\n- Character Descriptions were annotated using Cosine Similarity.\n- Data on Mental Disorders was extracted through scraping the International Classification of Diseases (ICD).", "### Contributors\n\n- Daniil Gurgurov\n- Nursulu Sagimbayeva\n- Antonia Wächter\n- Asmaa Ibrahim", "### Additional Details\n\n- Project Website: Link to Project Website\n- Deep Learning for Literary Analysis Report: Link to Report" ]
[ 6, 101, 6, 67, 29, 27 ]
[ "passage: TAGS\n#region-us \n### Dataset Summary\n\nThis repository comprises three distinct datasets:\n\n1. Character Descriptions from 12 Authors across 4 Countries\n Character descriptions authored by a diverse group of writers.\n\n2. Character Descriptions labeled with Mental Disorders using Cosine Similarity\n Character descriptions annotated with labels corresponding to mental disorders.\n\n3. Data on Mental Disorders\n Data pertaining to mental disorders.### Languages\n\n- English## Dataset Creation\n- Character Descriptions datasets were generated by initiating prompts with ChatGPT.\n- Character Descriptions were annotated using Cosine Similarity.\n- Data on Mental Disorders was extracted through scraping the International Classification of Diseases (ICD).### Contributors\n\n- Daniil Gurgurov\n- Nursulu Sagimbayeva\n- Antonia Wächter\n- Asmaa Ibrahim### Additional Details\n\n- Project Website: Link to Project Website\n- Deep Learning for Literary Analysis Report: Link to Report" ]
356a3b8ea28ee8cf17d5eafff60362bad41823ef
# Dataset Card for "german_OpenOrca5" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca5
[ "region:us" ]
2023-10-07T12:37:46+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 419339635, "num_examples": 250000}], "download_size": 240779567, "dataset_size": 419339635}}
2023-10-07T12:38:16+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca5" More Information needed
[ "# Dataset Card for \"german_OpenOrca5\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca5\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca5\"\n\nMore Information needed" ]
b9139d8ca769f0b1071637824933d568e7d0fe5d
# Dataset Card for "c_arm64_json" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
zhangshuoming/c_arm64_json
[ "region:us" ]
2023-10-07T12:41:56+00:00
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 86023555, "num_examples": 19949}], "download_size": 23189009, "dataset_size": 86023555}}
2023-10-07T12:42:43+00:00
[]
[]
TAGS #region-us
# Dataset Card for "c_arm64_json" More Information needed
[ "# Dataset Card for \"c_arm64_json\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"c_arm64_json\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"c_arm64_json\"\n\nMore Information needed" ]
81831ed37ca549aad0ffa3dbb1fa0dc0b39eaa8e
# Dataset Card for "german_OpenOrca1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca1
[ "region:us" ]
2023-10-07T12:43:34+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 456248082, "num_examples": 250000}], "download_size": 259702655, "dataset_size": 456248082}}
2023-10-07T12:44:05+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca1" More Information needed
[ "# Dataset Card for \"german_OpenOrca1\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca1\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca1\"\n\nMore Information needed" ]
4536b90ac7305c2815b1f927af96ed22a6323dbf
# Dataset Card for "german_OpenOrca6" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca6
[ "region:us" ]
2023-10-07T12:44:22+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 421496744, "num_examples": 250000}], "download_size": 241861087, "dataset_size": 421496744}}
2023-10-07T12:44:53+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca6" More Information needed
[ "# Dataset Card for \"german_OpenOrca6\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca6\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca6\"\n\nMore Information needed" ]
79b6d0491df162b468f075737350599bc0283f4a
# Dataset Card for "german_OpenOrca2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca2
[ "region:us" ]
2023-10-07T12:48:36+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 453043119, "num_examples": 250000}], "download_size": 257694182, "dataset_size": 453043119}}
2023-10-07T12:49:09+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca2" More Information needed
[ "# Dataset Card for \"german_OpenOrca2\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca2\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca2\"\n\nMore Information needed" ]
e4bfce301c1787cc8128a9a74c47f1adde83f010
# Dataset Card for "german_OpenOrca7" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca7
[ "region:us" ]
2023-10-07T12:54:34+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 420136780, "num_examples": 250000}], "download_size": 241313289, "dataset_size": 420136780}}
2023-10-07T12:55:07+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca7" More Information needed
[ "# Dataset Card for \"german_OpenOrca7\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca7\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca7\"\n\nMore Information needed" ]
ac698d855b9ae87a6d84ca8161802ade2bfbbada
# Dataset Card for "german_OpenOrca3" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca3
[ "region:us" ]
2023-10-07T12:55:05+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 453702853, "num_examples": 250000}], "download_size": 258072503, "dataset_size": 453702853}}
2023-10-07T12:55:40+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca3" More Information needed
[ "# Dataset Card for \"german_OpenOrca3\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca3\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca3\"\n\nMore Information needed" ]
e9f9e0594f187c3579f68ab88cf6a7e7915b9a24
# Dataset Card for "dataset_20231007_135609" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_135609
[ "region:us" ]
2023-10-07T12:56:09+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73790, "dataset_size": 770400.0}}
2023-10-07T12:56:10+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_135609" More Information needed
[ "# Dataset Card for \"dataset_20231007_135609\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_135609\"\n\nMore Information needed" ]
[ 6, 19 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_135609\"\n\nMore Information needed" ]
11fab3f33a5498e5a9c882889bccf6fb3e0101da
# Dataset Card for "dataset_20231007_140040" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/dataset_20231007_140040
[ "region:us" ]
2023-10-07T13:00:41+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73847, "dataset_size": 770400.0}}
2023-10-07T13:00:43+00:00
[]
[]
TAGS #region-us
# Dataset Card for "dataset_20231007_140040" More Information needed
[ "# Dataset Card for \"dataset_20231007_140040\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"dataset_20231007_140040\"\n\nMore Information needed" ]
[ 6, 19 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"dataset_20231007_140040\"\n\nMore Information needed" ]
45849d316cbb9fda669f36309a2ed74eaa99406c
# Dataset Card for "german_OpenOrca8" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca8
[ "region:us" ]
2023-10-07T13:06:12+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 420534427, "num_examples": 250000}], "download_size": 241362610, "dataset_size": 420534427}}
2023-10-07T13:06:44+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca8" More Information needed
[ "# Dataset Card for \"german_OpenOrca8\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca8\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca8\"\n\nMore Information needed" ]
1d96c3210524b3ff2f95c0bbf617fd10d9f9ccf4
# Dataset Card for "german_OpenOrca4" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca4
[ "region:us" ]
2023-10-07T13:09:49+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 453090165, "num_examples": 250000}], "download_size": 257819082, "dataset_size": 453090165}}
2023-10-07T13:10:25+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca4" More Information needed
[ "# Dataset Card for \"german_OpenOrca4\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca4\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca4\"\n\nMore Information needed" ]
01f3c0b513819ee49f15cabaaa7687000882a4e2
# Dataset Card for "tommys_mad_model_dataset_20231007_141121" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/tommys_mad_model_dataset_20231007_141121
[ "region:us" ]
2023-10-07T13:11:21+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 74087, "dataset_size": 770400.0}}
2023-10-07T13:11:22+00:00
[]
[]
TAGS #region-us
# Dataset Card for "tommys_mad_model_dataset_20231007_141121" More Information needed
[ "# Dataset Card for \"tommys_mad_model_dataset_20231007_141121\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"tommys_mad_model_dataset_20231007_141121\"\n\nMore Information needed" ]
[ 6, 26 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"tommys_mad_model_dataset_20231007_141121\"\n\nMore Information needed" ]
9e8fa095a7b8d35401eaeb4f3c14d76f71aed047
# Dataset Card for "german_OpenOrca9" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca9
[ "region:us" ]
2023-10-07T13:11:25+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 421151813, "num_examples": 250000}], "download_size": 241800479, "dataset_size": 421151813}}
2023-10-07T13:12:00+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca9" More Information needed
[ "# Dataset Card for \"german_OpenOrca9\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca9\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca9\"\n\nMore Information needed" ]
0ea3898bba8316254521bc20a86042a0bd7067b5
# Dataset Card for "german_OpenOrca10" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca10
[ "region:us" ]
2023-10-07T13:11:27+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 420872218, "num_examples": 250000}], "download_size": 241777202, "dataset_size": 420872218}}
2023-10-07T13:12:00+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca10" More Information needed
[ "# Dataset Card for \"german_OpenOrca10\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca10\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca10\"\n\nMore Information needed" ]
99f3a5bce4066d54c6f9682320ea2a0ffd6d87ce
# Dataset Card for "_dataset_20231007_141512" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/_dataset_20231007_141512
[ "region:us" ]
2023-10-07T13:15:12+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 74307, "dataset_size": 770400.0}}
2023-10-07T13:15:13+00:00
[]
[]
TAGS #region-us
# Dataset Card for "_dataset_20231007_141512" More Information needed
[ "# Dataset Card for \"_dataset_20231007_141512\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"_dataset_20231007_141512\"\n\nMore Information needed" ]
[ 6, 21 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"_dataset_20231007_141512\"\n\nMore Information needed" ]
be4dead0b3fbad27ae8bfbf849d671eb1284edd0
# Dataset Card for "yo_dataset_20231007_141833" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/yo_dataset_20231007_141833
[ "region:us" ]
2023-10-07T13:18:33+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 74023, "dataset_size": 770400.0}}
2023-10-07T13:18:35+00:00
[]
[]
TAGS #region-us
# Dataset Card for "yo_dataset_20231007_141833" More Information needed
[ "# Dataset Card for \"yo_dataset_20231007_141833\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"yo_dataset_20231007_141833\"\n\nMore Information needed" ]
[ 6, 22 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"yo_dataset_20231007_141833\"\n\nMore Information needed" ]
2834b47ee90f66e43fe21b128708021205aefd2e
# Dataset Card for "german_OpenOrca12" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca12
[ "region:us" ]
2023-10-07T13:18:35+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 419828001, "num_examples": 250000}], "download_size": 241049581, "dataset_size": 419828001}}
2023-10-07T13:19:09+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca12" More Information needed
[ "# Dataset Card for \"german_OpenOrca12\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca12\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca12\"\n\nMore Information needed" ]
330eb1756126699397f0fe4b0b94a5f27721241f
# Dataset Card for "cyberpunk_character_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/cyberpunk_character_prompts
[ "region:us" ]
2023-10-07T13:20:48+00:00
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 197588, "num_examples": 1000}], "download_size": 23337, "dataset_size": 197588}}
2023-10-07T13:24:09+00:00
[]
[]
TAGS #region-us
# Dataset Card for "cyberpunk_character_prompts" More Information needed
[ "# Dataset Card for \"cyberpunk_character_prompts\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"cyberpunk_character_prompts\"\n\nMore Information needed" ]
[ 6, 21 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"cyberpunk_character_prompts\"\n\nMore Information needed" ]
2da081eaa07754d61f5c75a9a4d22a8c7adb49bf
# Dataset Card for "german_OpenOrca13" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca13
[ "region:us" ]
2023-10-07T13:24:16+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 422172002, "num_examples": 250000}], "download_size": 242426550, "dataset_size": 422172002}}
2023-10-07T13:24:49+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca13" More Information needed
[ "# Dataset Card for \"german_OpenOrca13\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca13\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca13\"\n\nMore Information needed" ]
8fb6349eca524431ce578ae202364ff2746d1607
# Dataset Card for "german_OpenOrca15" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca15
[ "region:us" ]
2023-10-07T13:25:18+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 420403902, "num_examples": 250000}], "download_size": 241528835, "dataset_size": 420403902}}
2023-10-07T13:25:50+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca15" More Information needed
[ "# Dataset Card for \"german_OpenOrca15\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca15\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca15\"\n\nMore Information needed" ]
cce1f44805fdce87737f81139132db6f8576bb4f
# Dataset Card for "german_OpenOrca14" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca14
[ "region:us" ]
2023-10-07T13:27:57+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 420331784, "num_examples": 250000}], "download_size": 241284834, "dataset_size": 420331784}}
2023-10-07T13:28:29+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca14" More Information needed
[ "# Dataset Card for \"german_OpenOrca14\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca14\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca14\"\n\nMore Information needed" ]
ebcaa514acabe794bc79165ebd031005ed55b54a
# Dataset Card for "cyberpunk_photo_prompts2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/cyberpunk_photo_prompts2
[ "region:us" ]
2023-10-07T13:32:18+00:00
{"dataset_info": {"features": [{"name": "prompts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 213569, "num_examples": 1000}], "download_size": 24078, "dataset_size": 213569}}
2023-10-07T13:32:19+00:00
[]
[]
TAGS #region-us
# Dataset Card for "cyberpunk_photo_prompts2" More Information needed
[ "# Dataset Card for \"cyberpunk_photo_prompts2\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"cyberpunk_photo_prompts2\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"cyberpunk_photo_prompts2\"\n\nMore Information needed" ]
8db9d6521a3589b2d201df4fa7427e9a15d2e958
# Dataset Card for "german_OpenOrca16" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tessiw/german_OpenOrca16
[ "region:us" ]
2023-10-07T13:34:09+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "system_prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "response", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 421897668, "num_examples": 250000}], "download_size": 242252539, "dataset_size": 421897668}}
2023-10-07T13:34:42+00:00
[]
[]
TAGS #region-us
# Dataset Card for "german_OpenOrca16" More Information needed
[ "# Dataset Card for \"german_OpenOrca16\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"german_OpenOrca16\"\n\nMore Information needed" ]
[ 6, 17 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"german_OpenOrca16\"\n\nMore Information needed" ]
d07cc7ab53d922b2f7955b061d7d35ef9306717a
# Dataset Card for "test_dataset_20231007_143435" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/test_dataset_20231007_143435
[ "region:us" ]
2023-10-07T13:34:35+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73765, "dataset_size": 770400.0}}
2023-10-07T13:34:37+00:00
[]
[]
TAGS #region-us
# Dataset Card for "test_dataset_20231007_143435" More Information needed
[ "# Dataset Card for \"test_dataset_20231007_143435\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"test_dataset_20231007_143435\"\n\nMore Information needed" ]
[ 6, 21 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"test_dataset_20231007_143435\"\n\nMore Information needed" ]
7ce6cd03b714430fa84ad76191a8c5fe51de3894
# Dataset Card for "Persian-Text-llama2-9k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
hdeldar/Persian-Text-llama2-9k
[ "region:us" ]
2023-10-07T13:35:26+00:00
{"dataset_info": {"features": [{"name": "answers", "dtype": "string"}, {"name": "question", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17137852, "num_examples": 9008}, {"name": "validation", "num_bytes": 1753700, "num_examples": 930}], "download_size": 1329768, "dataset_size": 18891552}}
2023-10-07T13:36:36+00:00
[]
[]
TAGS #region-us
# Dataset Card for "Persian-Text-llama2-9k" More Information needed
[ "# Dataset Card for \"Persian-Text-llama2-9k\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"Persian-Text-llama2-9k\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"Persian-Text-llama2-9k\"\n\nMore Information needed" ]
70753d3f2e527cbfb88eb53305b2209ce3a039e4
# Dataset Card for "_dataset_20231007_143602" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tr416/_dataset_20231007_143602
[ "region:us" ]
2023-10-07T13:36:02+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}], "splits": [{"name": "train", "num_bytes": 762696.0, "num_examples": 297}, {"name": "test", "num_bytes": 7704.0, "num_examples": 3}], "download_size": 73983, "dataset_size": 770400.0}}
2023-10-07T13:36:03+00:00
[]
[]
TAGS #region-us
# Dataset Card for "_dataset_20231007_143602" More Information needed
[ "# Dataset Card for \"_dataset_20231007_143602\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"_dataset_20231007_143602\"\n\nMore Information needed" ]
[ 6, 20 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"_dataset_20231007_143602\"\n\nMore Information needed" ]
1d54fe60965bdb3b0adb51653ce6b117adb934dc
arxiv.org/abs/2309.12284 View the project page: https://meta-math.github.io/
meta-math/GSM8K_Backward
[ "license:mit", "arxiv:2309.12284", "region:us" ]
2023-10-07T13:43:40+00:00
{"license": "mit", "configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "GSM8K_Backward.jsonl"}]}]}
2023-11-10T01:42:28+00:00
[ "2309.12284" ]
[]
TAGS #license-mit #arxiv-2309.12284 #region-us
URL View the project page: URL
[]
[ "TAGS\n#license-mit #arxiv-2309.12284 #region-us \n" ]
[ 19 ]
[ "passage: TAGS\n#license-mit #arxiv-2309.12284 #region-us \n" ]
bcd31225a65ef3b9fe372089cd0b69dde52168c5
arxiv.org/abs/2309.12284 View the project page: https://meta-math.github.io/
meta-math/MetaMathQA-40K
[ "license:mit", "arxiv:2309.12284", "region:us" ]
2023-10-07T13:47:58+00:00
{"license": "mit"}
2023-11-10T01:42:51+00:00
[ "2309.12284" ]
[]
TAGS #license-mit #arxiv-2309.12284 #region-us
URL View the project page: URL
[]
[ "TAGS\n#license-mit #arxiv-2309.12284 #region-us \n" ]
[ 19 ]
[ "passage: TAGS\n#license-mit #arxiv-2309.12284 #region-us \n" ]
c4476ec14caa6b76e0238709771f751d8187f004
# Dataset Card for "investopedia_terms_en" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
infCapital/investopedia_terms_en
[ "region:us" ]
2023-10-07T13:59:07+00:00
{"dataset_info": {"features": [{"name": "name", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 25479415, "num_examples": 6305}], "download_size": 13609845, "dataset_size": 25479415}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T14:25:31+00:00
[]
[]
TAGS #region-us
# Dataset Card for "investopedia_terms_en" More Information needed
[ "# Dataset Card for \"investopedia_terms_en\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"investopedia_terms_en\"\n\nMore Information needed" ]
[ 6, 18 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"investopedia_terms_en\"\n\nMore Information needed" ]
bf99902e2a47d4933436c2084c8422d5431258c0
# Dataset Card for "asfijioasfwlf" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
minoruskore/asfijioasfwlf
[ "region:us" ]
2023-10-07T14:01:52+00:00
{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "AJ_Cook", "1": "AJ_Lamas", "2": "Aaron_Eckhart", "3": "Aaron_Guiel", "4": "Aaron_Patterson", "5": "Aaron_Peirsol", "6": "Aaron_Pena", "7": "Aaron_Sorkin", "8": "Aaron_Tippin", "9": "Abba_Eban", "10": "Abbas_Kiarostami", "11": "Abdel_Aziz_Al-Hakim", "12": "Abdel_Madi_Shabneh", "13": "Abdel_Nasser_Assidi", "14": "Abdoulaye_Wade", "15": "Abdul_Majeed_Shobokshi", "16": "Abdul_Rahman", "17": "Abdulaziz_Kamilov", "18": "Abdullah", "19": "Abdullah_Ahmad_Badawi", "20": "Abdullah_Gul", "21": "Abdullah_Nasseef", "22": "Abdullah_al-Attiyah", "23": "Abdullatif_Sener", "24": "Abel_Aguilar", "25": "Abel_Pacheco", "26": "Abid_Hamid_Mahmud_Al-Tikriti", "27": "Abner_Martinez", "28": "Abraham_Foxman", "29": "Aby_Har-Even", "30": "Adam_Ant", "31": "Adam_Freier", "32": "Adam_Herbert", "33": "Adam_Kennedy", "34": "Adam_Mair", "35": "Adam_Rich", "36": "Adam_Sandler", "37": "Adam_Scott", "38": "Adel_Al-Jubeir", "39": "Adelina_Avila", "40": "Adisai_Bodharamik", "41": "Adolfo_Aguilar_Zinser", "42": "Adolfo_Rodriguez_Saa", "43": "Adoor_Gopalakarishnan", "44": "Adrian_Annus", "45": "Adrian_Fernandez", "46": "Adrian_McPherson", "47": "Adrian_Murrell", "48": "Adrian_Nastase", "49": "Adriana_Lima", "50": "Adriana_Perez_Navarro", "51": "Adrianna_Zuzic", "52": "Adrien_Brody", "53": "Afton_Smith", "54": "Agbani_Darego", "55": "Agnelo_Queiroz", "56": "Agnes_Bruckner", "57": "Ahmad_Jbarah", "58": "Ahmad_Masood", "59": "Ahmed_Ahmed", "60": "Ahmed_Chalabi", "61": "Ahmed_Ghazi", "62": "Ahmed_Ibrahim_Bilal", "63": "Ahmed_Lopez", "64": "Ahmed_Qureia", "65": "Ahmet_Demir", "66": "Ahmet_Necdet_Sezer", "67": "Ai_Sugiyama", "68": "Aicha_El_Ouafi", "69": "Aidan_Quinn", "70": "Aileen_Riggin_Soule", "71": "Ain_Seppik", "72": "Ainsworth_Dyer", "73": "Aishwarya_Rai", "74": "Aitor_Gonzalez", "75": "Aiysha_Smith", "76": "Ajit_Agarkar", "77": "Akbar_Al_Baker", "78": "Akbar_Hashemi_Rafsanjani", "79": "Akhmed_Zakayev", "80": "Akiko_Morigami", "81": "Akmal_Taher", "82": "Al_Cardenas", "83": "Al_Davis", "84": "Al_Gore", "85": "Al_Leiter", "86": "Al_Pacino", "87": "Al_Sharpton", "88": "Alain_Cervantes", "89": "Alain_Ducasse", "90": "Alan_Ball", "91": "Alan_Dershowitz", "92": "Alan_Dreher", "93": "Alan_Greenspan", "94": "Alan_Greer", "95": "Alan_Jackson", "96": "Alan_Mulally", "97": "Alan_Stonecipher", "98": "Alan_Tang_Kwong-wing", "99": "Alan_Trammell", "100": "Alan_Zemaitis", "101": "Alanis_Morissette", "102": "Alanna_Ubach", "103": "Alastair_Campbell", "104": "Alastair_Johnston", "105": "Albaro_Recoba", "106": "Albert_Brooks", "107": "Albert_Costa", "108": "Albert_Montanes", "109": "Albert_Pujols", "110": "Alberta_Lee", "111": "Alberto_Acosta", "112": "Alberto_Fujimori", "113": "Alberto_Gonzales", "114": "Alberto_Ruiz_Gallardon", "115": "Alberto_Sordi", "116": "Albrecht_Mentz", "117": "Aldo_Paredes", "118": "Alec_Baldwin", "119": "Alecos_Markides", "120": "Alejandro_Atchugarry", "121": "Alejandro_Avila", "122": "Alejandro_Fernandez", "123": "Alejandro_Gonzalez_Inarritu", "124": "Alejandro_Lembo", "125": "Alejandro_Lerner", "126": "Alejandro_Lopez", "127": "Alejandro_Toledo", "128": "Alek_Wek", "129": "Aleksander_Kwasniewski", "130": "Aleksander_Voloshin", "131": "Alessandra_Cerna", "132": "Alessandro_Nesta", "133": "Alex_Barros", "134": "Alex_Cabrera", "135": "Alex_Cejka", "136": "Alex_Corretja", "137": "Alex_Ferguson", "138": "Alex_Gonzalez", "139": "Alex_Holmes", "140": "Alex_King", "141": "Alex_Penelas", "142": "Alex_Popov", "143": "Alex_Sink", "144": "Alex_Wallau", "145": "Alex_Zanardi", "146": "Alexa_Loren", "147": "Alexa_Vega", "148": "Alexander_Downer", "149": "Alexander_Losyukov", "150": "Alexander_Lukashenko", "151": "Alexander_Payne", "152": "Alexander_Rumyantsev", "153": "Alexandra_Jackson", "154": "Alexandra_Pelosi", "155": "Alexandra_Rozovskaya", "156": "Alexandra_Spann", "157": "Alexandra_Stevenson", "158": "Alexandra_Vodjanikova", "159": "Alexandre_Daigle", "160": "Alexandre_Despatie", "161": "Alexandre_Herchcovitch", "162": "Alexandre_Vinokourov", "163": "Alexis_Bledel", "164": "Alexis_Dennisoff", "165": "Alfonso_Cuaron", "166": "Alfonso_Portillo", "167": "Alfonso_Soriano", "168": "Alfred_Ford", "169": "Alfred_Sant", "170": "Alfredo_Moreno", "171": "Alfredo_Pena", "172": "Alfredo_di_Stefano", "173": "Ali_Abbas", "174": "Ali_Abdullah_Saleh", "175": "Ali_Adbul_Karim_Madani", "176": "Ali_Ahmeti", "177": "Ali_Bin_Hussein", "178": "Ali_Fallahian", "179": "Ali_Hammoud", "180": "Ali_Khamenei", "181": "Ali_Mohammed_Maher", "182": "Ali_Naimi", "183": "Alice_Fisher", "184": "Alicia_Hollowell", "185": "Alicia_Keys", "186": "Alicia_Molik", "187": "Alicia_Silverstone", "188": "Alicia_Witt", "189": "Alimzhan_Tokhtakhounov", "190": "Alina_Kabaeva", "191": "Aline_Chretien", "192": "Alisha_Richman", "193": "Alison_Krauss", "194": "Alison_Lohman", "195": "Alistair_MacDonald", "196": "Allan_Houston", "197": "Allan_Kemakeza", "198": "Allan_Wagner", "199": "Allen_Iverson", "200": "Allen_Rock", "201": "Allison_Janney", "202": "Allison_Searing", "203": "Ally_Sheedy", "204": "Allyson_Felix", "205": "Alma_Powell", "206": "Almeida_Baptista", "207": "Alonzo_Mourning", "208": "Alvaro_Noboa", "209": "Alvaro_Silva_Calderon", "210": "Alvaro_Uribe", "211": "Aly_Wagner", "212": "Alyse_Beaupre", "213": "Alyson_Hannigan", "214": "Amanda_Beard", "215": "Amanda_Bynes", "216": "Amanda_Coetzer", "217": "Amanda_Marsh", "218": "Amanda_Plumer", "219": "Amber_Frey", "220": "Amber_Tamblyn", "221": "Ambrose_Lee", "222": "Amelia_Vega", "223": "Amelie_Mauresmo", "224": "Amer_al-Saadi", "225": "Amporn_Falise", "226": "Amr_Moussa", "227": "Amram_Mitzna", "228": "Amy_Brenneman", "229": "Amy_Cotton", "230": "Amy_Gale", "231": "Amy_Pascal", "232": "Amy_Redford", "233": "Amy_Smart", "234": "Amy_Yasbeck", "235": "AnFernce_Negron", "236": "Ana_Claudia_Talancon", "237": "Ana_Guevara", "238": "Ana_Isabel_Sanchez", "239": "Ana_Palacio", "240": "Ana_Paula_Gerard", "241": "Ana_Sebastiao", "242": "Anastasia_Kelesidou", "243": "Anastasia_Myskina", "244": "Anatoliy_Kinakh", "245": "Anders_Ebbeson", "246": "Anders_Fogh_Rasmussen", "247": "Anderson_Varejao", "248": "Andre_Agassi", "249": "Andre_Bucher", "250": "Andre_Lange", "251": "Andre_Smith", "252": "Andre_Techine", "253": "Andrea_Bocelli", "254": "Andrea_De_Cruz", "255": "Andrea_Kiser", "256": "Andrea_Yates", "257": "Andreas_Vinciguerra", "258": "Andrei_Konchalovsky", "259": "Andrei_Mikhnevich", "260": "Andrei_Nikolishin", "261": "Andres_DAlessandro", "262": "Andres_Manuel_Lopez_Obrador", "263": "Andres_Pastrana", "264": "Andrew_Bernard", "265": "Andrew_Bunner", "266": "Andrew_Caldecott", "267": "Andrew_Cuomo", "268": "Andrew_Fastow", "269": "Andrew_Firestone", "270": "Andrew_Gilligan", "271": "Andrew_Jarecki", "272": "Andrew_Luster", "273": "Andrew_Niccol", "274": "Andrew_Sabey", "275": "Andrew_Shutley", "276": "Andrew_Weissmann", "277": "Andrew_Wetzler", "278": "Andrzej_Tyszkiewicz", "279": "Andy_Benes", "280": "Andy_Bryant", "281": "Andy_Dick", "282": "Andy_Garcia", "283": "Andy_Graves", "284": "Andy_Griffith", "285": "Andy_Griggs", "286": "Andy_Hebb", "287": "Andy_Lau", "288": "Andy_Madikians", "289": "Andy_North", "290": "Andy_Perez", "291": "Andy_Roddick", "292": "Andy_Rooney", "293": "Andy_Warhol", "294": "Andy_Wisecarver", "295": "Anette_Hosoi", "296": "Angel_Lockward", "297": "Angel_Maza", "298": "Angela_Alvarado_Rosa", "299": "Angela_Bassett", "300": "Angela_Lansbury", "301": "Angela_Mascia-Frye", "302": "Angela_Merkel", "303": "Angelica_Romero", "304": "Angelina_Jolie", "305": "Angelo_Genova", "306": "Angelo_Reyes", "307": "Angie_Arzola", "308": "Angie_Martinez", "309": "Anibal_Ibarra", "310": "Anil_Ramsook", "311": "Anita_DeFrantz", "312": "Anja_Paerson", "313": "Anjum_Hussain", "314": "Ann_Godbehere", "315": "Ann_Landers", "316": "Ann_Morgan", "317": "Ann_Veneman", "318": "Anna_Chicherova", "319": "Anna_Faris", "320": "Anna_Jones", "321": "Anna_Kournikova", "322": "Anna_Nicole_Smith", "323": "Anne_Cavers", "324": "Anne_Donovan", "325": "Anne_Heche", "326": "Anne_Krueger", "327": "Anne_McLellan", "328": "Anne_ONeil", "329": "Anneli_Jaatteenmaki", "330": "Annette_Bening", "331": "Annette_Lu", "332": "Annie-Jeanne_Reynaud", "333": "Annie_Chaplin", "334": "Annie_Machon", "335": "Annika_Sorenstam", "336": "Antanas_Valionis", "337": "Anthony_Carter", "338": "Anthony_Corso", "339": "Anthony_Ervin", "340": "Anthony_Fauci", "341": "Anthony_Garotinho", "342": "Anthony_Hazen", "343": "Anthony_Hopkins", "344": "Anthony_LaPaglia", "345": "Anthony_Lee_Johnson", "346": "Anthony_Mazur", "347": "Anthony_Pico", "348": "Anthony_Pisciotti", "349": "Anthony_Principi", "350": "Anthony_Rackauckas", "351": "Anthony_Scott_Miller", "352": "Antje_Buschschulte", "353": "Anton_Balasingham", "354": "Antonio_Banderas", "355": "Antonio_Bernardo", "356": "Antonio_Cassano", "357": "Antonio_Catania", "358": "Antonio_Elias_Saca", "359": "Antonio_Palocci", "360": "Antonio_Trillanes", "361": "Antony_Leung", "362": "Antwun_Echols", "363": "Anwar_Ibrahim", "364": "Anzori_Kikalishvili", "365": "Aparna_Pillai", "366": "Aram_Adler", "367": "Arantxa_Sanchez-Vicario", "368": "Aretha_Franklin", "369": "Ari_Bousbib", "370": "Ari_Fleischer", "371": "Arianna_Huffington", "372": "Arie_Haan", "373": "Ariel_Sharon", "374": "Arif_Mardin", "375": "Arlen_Specter", "376": "Armand_Sargen", "377": "Armando_Avila_Panchame", "378": "Armando_Calderon_Sol", "379": "Armando_Carrillo", "380": "Arminio_Fraga", "381": "Arnaud_Clement", "382": "Arnaud_Lagardere", "383": "Arnie_Boehm", "384": "Arnold_Palmer", "385": "Arnold_Schwarzenegger", "386": "Arnold_Scott", "387": "Arnoldo_Aleman", "388": "Aron_Ralston", "389": "Arsinee_Khanjian", "390": "Art_Cooper", "391": "Art_Hoffmann", "392": "Art_Howe", "393": "Art_Lopez", "394": "Arthur_Johnson", "395": "Arthur_Martinez", "396": "Artieas_Shanks", "397": "Arturo_Gatti", "398": "Arye_Mekel", "399": "Asa_Hutchinson", "400": "Ascencion_Barajas", "401": "Ashanti", "402": "Ashlea_Talbot", "403": "Ashley_Judd", "404": "Ashley_Olsen", "405": "Ashley_Postell", "406": "Ashraf_Alasmar", "407": "Ashraf_Ghani", "408": "Ashton_Kutcher", "409": "Asif_Ali_Zardari", "410": "Asif_Hanif", "411": "Askar_Akayev", "412": "Asmaa_Assad", "413": "Assad_Ahmadi", "414": "Astou_Ndiaye-Diatta", "415": "Astrid_Betancourt", "416": "Astrid_Eyzaguirre", "417": "Atal_Bihari_Vajpayee", "418": "Ataollah_Mohajerani", "419": "Atiabet_Ijan_Amabel", "420": "Atom_Egoyan", "421": "Atsushi_Sato", "422": "Audrey_Lacroix", "423": "Audrey_Sauret", "424": "Augustin_Calleri", "425": "Augusto_Pinochet", "426": "Augusto_Roa_Bastos", "427": "Aung_San_Suu_Kyi", "428": "Austin_Kearns", "429": "Avril_Lavigne", "430": "Azmi_Bishara", "431": "Azra_Akin", "432": "BB_King", "433": "BJ_Habibie", "434": "Babe_Ruth", "435": "Baburam_Bhattari", "436": "Bak_Chang-Ryun", "437": "Barbara_Bach", "438": "Barbara_Becker", "439": "Barbara_Bodine", "440": "Barbara_Boxer", "441": "Barbara_Brezigar", "442": "Barbara_De_Brun", "443": "Barbara_Esbin", "444": "Barbara_Felt-Miller", "445": "Barbara_Roberts", "446": "Barbara_Walters", "447": "Barbora_Strycova", "448": "Barbra_Streisand", "449": "Barrett_Jackman", "450": "Barry_Alvarez", "451": "Barry_Bonds", "452": "Barry_Collier", "453": "Barry_Diller", "454": "Barry_Ford", "455": "Barry_Hinson", "456": "Barry_Nakell", "457": "Barry_Switzer", "458": "Barry_Williams", "459": "Barry_Zito", "460": "Bart_Freundlich", "461": "Bart_Hendricks", "462": "Bartosz_Kizierowski", "463": "Barzan_al-Tikriti", "464": "Basdeo_Panday", "465": "Bashar_Assad", "466": "Baz_Luhrmann", "467": "Beatrice_Dalle", "468": "Beatriz_Merino", "469": "Beecher_Ray_Kirby", "470": "Begum_Khaleda_Zia", "471": "Bela_Karolyi", "472": "Ben_Affleck", "473": "Ben_Betts", "474": "Ben_Braun", "475": "Ben_Broussard", "476": "Ben_Cahoon", "477": "Ben_Chandler", "478": "Ben_Cohen", "479": "Ben_Curtis", "480": "Ben_Davis", "481": "Ben_Glisan", "482": "Ben_Howland", "483": "Ben_Kingsley", "484": "Ben_Lee", "485": "Ben_Stein", "486": "Ben_Wallace", "487": "Benazir_Bhutto", "488": "Benedita_da_Silva", "489": "Benicio_Del_Toro", "490": "Benito_Santiago", "491": "Benjamin_Bratt", "492": "Benjamin_Franklin", "493": "Benjamin_Martinez", "494": "Benjamin_McKenzie", "495": "Benjamin_Netanyahu", "496": "Benjamin_Neulander", "497": "Bernadette_Peters", "498": "Bernard_Ebbers", "499": "Bernard_Giraudeau", "500": "Bernard_Kerik", "501": "Bernard_Landry", "502": "Bernard_Law", "503": "Bernard_Lord", "504": "Bernard_Siegel", "505": "Bernardo_Segura", "506": "Bernice_Wong", "507": "Bertie_Ahern", "508": "Bertrand_Bonello", "509": "Bertrand_Delanoe", "510": "Beth_Blough", "511": "Beth_Jones", "512": "Betsy_Coffin", "513": "Betsy_Smith", "514": "Bettina_Rheims", "515": "Betty_Garrison", "516": "Betty_Williams", "517": "Beyonce_Knowles", "518": "Bianca_Jagger", "519": "Bijan_Darvish", "520": "Bijan_Namdar_Zangeneh", "521": "Bilal_Erdogan", "522": "Biljana_Plavsic", "523": "Bill_Belichick", "524": "Bill_Bradley", "525": "Bill_Butler", "526": "Bill_Byrne", "527": "Bill_Callahan", "528": "Bill_Carmody", "529": "Bill_Cartwright", "530": "Bill_Clancy", "531": "Bill_Clinton", "532": "Bill_Curry", "533": "Bill_Doba", "534": "Bill_Duffey", "535": "Bill_Elliott", "536": "Bill_Fennelly", "537": "Bill_Frist", "538": "Bill_Gates", "539": "Bill_Graham", "540": "Bill_Guerin", "541": "Bill_Herrion", "542": "Bill_Hughes", "543": "Bill_King", "544": "Bill_Kollar", "545": "Bill_Kong", "546": "Bill_Lerach", "547": "Bill_Maher", "548": "Bill_Mauldin", "549": "Bill_McBride", "550": "Bill_Nelson", "551": "Bill_OReilly", "552": "Bill_Parcells", "553": "Bill_Parsons", "554": "Bill_Paxton", "555": "Bill_Pryor", "556": "Bill_Rainer", "557": "Bill_Readdy", "558": "Bill_Richardson", "559": "Bill_Self", "560": "Bill_Simon", "561": "Bill_Sizemore", "562": "Bill_Stapleton", "563": "Bill_Stein", "564": "Bill_Walton", "565": "Billy_Andrade", "566": "Billy_Beane", "567": "Billy_Bob_Thornton", "568": "Billy_Boyd", "569": "Billy_Crawford", "570": "Billy_Crystal", "571": "Billy_Donovan", "572": "Billy_Edelin", "573": "Billy_Gilman", "574": "Billy_Graham", "575": "Billy_Joel", "576": "Billy_Rork", "577": "Billy_Sollie", "578": "Billy_Tibbets", "579": "Bing_Crosby", "580": "Binyamin_Ben-Eliezer", "581": "Bison_Dele", "582": "Bixente_LIzarazu", "583": "Blas_Ople", "584": "Blythe_Danner", "585": "Blythe_Hartley", "586": "Bo_Pelini", "587": "Bo_Ryan", "588": "Bob_Alper", "589": "Bob_Beauprez", "590": "Bob_Bowlsby", "591": "Bob_Cantrell", "592": "Bob_Colvin", "593": "Bob_Crippen", "594": "Bob_Curtis", "595": "Bob_Dole", "596": "Bob_Eskridge", "597": "Bob_Ferguson", "598": "Bob_Geldof", "599": "Bob_Goldman", "600": "Bob_Graham", "601": "Bob_Guccione", "602": "Bob_Hartley", "603": "Bob_Hayes", "604": "Bob_Herz", "605": "Bob_Holden", "606": "Bob_Hope", "607": "Bob_Huggins", "608": "Bob_Iger", "609": "Bob_Krueger", "610": "Bob_Melvin", "611": "Bob_Menendez", "612": "Bob_Newhart", "613": "Bob_Petrino", "614": "Bob_Riley", "615": "Bob_Stoops", "616": "Bob_Sulkin", "617": "Bob_Taft", "618": "Bob_Wright", "619": "Bobby_Bowden", "620": "Bobby_Goldwater", "621": "Bobby_Jackson", "622": "Bobby_Kielty", "623": "Bobby_Robson", "624": "Bobo_Balde", "625": "Bode_Miller", "626": "Bonnie_Fuller", "627": "Bonnie_Hunt", "628": "Bono", "629": "Boris_Becker", "630": "Boris_Berezovsky", "631": "Boris_Henry", "632": "Boris_Jordan", "633": "Boris_Trajkovski", "634": "Boris_Yeltsin", "635": "Boutros_Boutros_Ghali", "636": "Brad_Alexander_Smith", "637": "Brad_Banks", "638": "Brad_Brownell", "639": "Brad_Garrett", "640": "Brad_Gushue", "641": "Brad_Johnson", "642": "Brad_Miller", "643": "Brad_Pitt", "644": "Brad_Russ", "645": "Brad_Smith", "646": "Brad_Wilk", "647": "Brady_Rodgers", "648": "Brajesh_Mishra", "649": "Brandon_Boyd", "650": "Brandon_Fails", "651": "Brandon_Hammond", "652": "Brandon_Inge", "653": "Brandon_Jones", "654": "Brandon_Knight", "655": "Brandon_Larson", "656": "Brandon_Lloyd", "657": "Brandon_Robinson", "658": "Brandon_Spann", "659": "Brandon_Webb", "660": "Branko_Crvenkovski", "661": "Brawley_King", "662": "Brenda_Magana", "663": "Brenda_Wilson", "664": "Brenda_van_Dam", "665": "Brendan_Fraser", "666": "Brendan_Gaughan", "667": "Brendan_Hansen", "668": "Brendan_Stai", "669": "Brennon_Leighton", "670": "Brent_Coles", "671": "Brett_Boone", "672": "Brett_Hawke", "673": "Brett_Hull", "674": "Brett_Perry", "675": "Brian_Billick", "676": "Brian_Campbell", "677": "Brian_Cashman", "678": "Brian_Clemens", "679": "Brian_Cook", "680": "Brian_Cowen", "681": "Brian_De_Palma", "682": "Brian_Florence", "683": "Brian_Grazier", "684": "Brian_Gregory", "685": "Brian_Griese", "686": "Brian_Heidik", "687": "Brian_Henson", "688": "Brian_Jordan", "689": "Brian_Kerr", "690": "Brian_Lara", "691": "Brian_McIntyre", "692": "Brian_Meadors", "693": "Brian_Mulroney", "694": "Brian_Olson", "695": "Brian_Pavlich", "696": "Brian_Scalabrine", "697": "Brian_Schneider", "698": "Brian_StPierre", "699": "Brian_Van_Dusen", "700": "Brian_Weaver", "701": "Brian_Wells", "702": "Brian_Williams", "703": "Bridget_Fonda", "704": "Bridgette_Wilson-Sampras", "705": "Brigitte_Boisselier", "706": "Britney_Spears", "707": "Brittany_Snow", "708": "Brock_Berlin", "709": "Bronson_Arroyo", "710": "Brook_Robinson", "711": "Brooke_Adams", "712": "Brooke_Gordon", "713": "Brooke_Shields", "714": "Bruce_Arena", "715": "Bruce_Gebhardt", "716": "Bruce_Lunsford", "717": "Bruce_Paltrow", "718": "Bruce_Springsteen", "719": "Bruce_Van_De_Velde", "720": "Bruce_Weber", "721": "Bruce_Willis", "722": "Bruna_Colosio", "723": "Bruno_Junquiera", "724": "Bryan_Adams", "725": "Bryan_Chui", "726": "Bryan_Cooley", "727": "Bryan_Murray", "728": "Bryan_Thomas", "729": "Bryant_Young", "730": "Bryce_Carmine", "731": "Buck_Rodgers", "732": "Bud_Selig", "733": "Budd_Schulberg", "734": "Buddy_Ryan", "735": "Buford_Blount", "736": "Bulent_Ecevit", "737": "Bustam_A_Zedan_Aljanabi", "738": "Butch_Davis", "739": "Buzz_Hargrove", "740": "Byron_Scott", "741": "Cabas", "742": "Caio_Blat", "743": "Calbert_Cheaney", "744": "Calista_Flockhart", "745": "Calvin_Harrison", "746": "Calvin_Joseph_Coleman", "747": "Cameron_Diaz", "748": "Camilla_Parker_Bowles", "749": "Camille_Colvin", "750": "Camille_Lewis", "751": "Camryn_Manheim", "752": "Candace_Sutton", "753": "Candice_Beatty", "754": "Candice_Bergen", "755": "Candie_Kung", "756": "Carey_Lowell", "757": "Cari_Davis", "758": "Carin_Koch", "759": "Carina_Lau_Ka-ling", "760": "Carl_Levin", "761": "Carl_Pope", "762": "Carl_Reiner", "763": "Carla_Del_Ponte", "764": "Carla_Gay_Balingit", "765": "Carla_Gugino", "766": "Carla_Moreno", "767": "Carla_Myers", "768": "Carla_Sullivan", "769": "Carla_Tricoli", "770": "Carlo_Ancelotti", "771": "Carlo_Azeglio_Ciampi", "772": "Carlos_Alberto", "773": "Carlos_Alberto_Parreira", "774": "Carlos_Arroyo", "775": "Carlos_Barra", "776": "Carlos_Barragan", "777": "Carlos_Beltran", "778": "Carlos_Bianchi", "779": "Carlos_De_Abreu", "780": "Carlos_Fasciolo", "781": "Carlos_Ghosn", "782": "Carlos_Iturgaitz", "783": "Carlos_Juarez", "784": "Carlos_Lordkipanitse", "785": "Carlos_Manuel_Pruneda", "786": "Carlos_Menem", "787": "Carlos_Mesa", "788": "Carlos_Moya", "789": "Carlos_Ortega", "790": "Carlos_Paternina", "791": "Carlos_Queiroz", "792": "Carlos_Quintanilla_Schmidt", "793": "Carlos_Ruckauf", "794": "Carlos_Ruiz", "795": "Carlos_Salinas", "796": "Carlos_Savedra", "797": "Carlos_Vives", "798": "Carlton_Baugh", "799": "Carlton_Dotson", "800": "Carly_Fiorina", "801": "Carly_Gullickson", "802": "Carmen_Electra", "803": "Carol_Burnett", "804": "Carol_Carmody", "805": "Carol_Moseley_Braun", "806": "Carol_Niedermayer", "807": "Carol_Williams", "808": "Carolina_Barco", "809": "Carolina_Kluft", "810": "Carolina_Moraes", "811": "Caroline_Dhavernas", "812": "Caroline_Kennedy", "813": "Caroline_Link", "814": "Carolyn_Dawn_Johnson", "815": "Carolyn_Kuhl", "816": "Carrie-Anne_Moss", "817": "Carroll_Weimer", "818": "Carson_Daly", "819": "Carson_Palmer", "820": "Casey_Crowder", "821": "Casey_Mears", "822": "Cass_Ballenger", "823": "Cassandra_Heise", "824": "Casy_Preslar", "825": "Cate_Blanchett", "826": "Catherine_Bell", "827": "Catherine_Deneuve", "828": "Catherine_Donkers", "829": "Catherine_Ndereba", "830": "Catherine_Woodard", "831": "Catherine_Zeta-Jones", "832": "Cathryn_Crawford", "833": "Cathy_Chisholm", "834": "Cathy_Cunningham", "835": "Cathy_Freeman", "836": "Catriona_Le_May_Doan", "837": "Cecile_de_France", "838": "Cecilia_Bolocco", "839": "Cecilia_Chang", "840": "Cecilia_Cheung", "841": "Cedric_Benson", "842": "Celia_Cruz", "843": "Celine_Dion", "844": "Celso_Amorim", "845": "Celso_Lafer", "846": "Cemil_Cicek", "847": "Cesar_Gaviria", "848": "Cesar_Maia", "849": "Cha_Yung-gu", "850": "Chadha_Gurinder", "851": "Chakib_Khelil", "852": "Chan_Choi", "853": "Chan_Gailey", "854": "Chan_Ho_Park", "855": "Chance_Mock", "856": "Chanda_Rubin", "857": "Chandrika_Kumaratunga", "858": "Chang_Dae-whan", "859": "Chang_Jae_On", "860": "Chang_Saio-yue", "861": "Chang_Sang", "862": "Chang_Tso", "863": "Chante_Jawan_Mallard", "864": "Charla_Moye", "865": "Charlene_Barshefsky", "866": "Charles_Bell", "867": "Charles_Bronson", "868": "Charles_Chandler_IV", "869": "Charles_Cope", "870": "Charles_Grassley", "871": "Charles_Holzner", "872": "Charles_Ingram", "873": "Charles_Kartman", "874": "Charles_Lebois", "875": "Charles_Mathews", "876": "Charles_Moose", "877": "Charles_Pickering", "878": "Charles_Pouty", "879": "Charles_Richardson", "880": "Charles_Rogers", "881": "Charles_Schumer", "882": "Charles_Tannok", "883": "Charles_Taylor", "884": "Charley_Armey", "885": "Charlie_Coles", "886": "Charlie_Deane", "887": "Charlie_Garner", "888": "Charlie_Hunnam", "889": "Charlie_Sheen", "890": "Charlie_Williams", "891": "Charlie_Zaa", "892": "Charlize_Theron", "893": "Charlotte_Casiraghi", "894": "Charlotte_Chambers", "895": "Charlotte_Church", "896": "Charlotte_Rampling", "897": "Charlton_Heston", "898": "Charmaine_Crooks", "899": "Chawki_Armali", "900": "Chea_Sophara", "901": "Chelsea_Clinton", "902": "Chen_Kaige", "903": "Chen_Liang_Yu", "904": "Chen_Shui-bian", "905": "Chen_Tsai-chin", "906": "Cherie_Blair", "907": "Cherry_Jones", "908": "Cheryl_Ford", "909": "Cheryl_Hines", "910": "Cheryl_James", "911": "Cheryl_Little", "912": "Cheryl_Tiegs", "913": "Chhouk_Rin", "914": "Chick_Hearn", "915": "Chin-Feng_Chen", "916": "Chin-Hui_Tsao", "917": "Chip_Burrus", "918": "Chip_Ganassi", "919": "Chip_Knight", "920": "Chistian_Stahl", "921": "Chita_Rivera", "922": "Chloe_Sevigny", "923": "Cho_Myung-kyun", "924": "Choi_Sung-hong", "925": "Choi_Yun-yong", "926": "Chok_Tong_Goh", "927": "Chris_Andrews", "928": "Chris_Bell", "929": "Chris_Byrd", "930": "Chris_Cirino", "931": "Chris_Claiborne", "932": "Chris_Columbus", "933": "Chris_Cookson", "934": "Chris_Cooper", "935": "Chris_Cornell", "936": "Chris_Crocker", "937": "Chris_Dodd", "938": "Chris_Forsyth", "939": "Chris_Gratton", "940": "Chris_Hernandez", "941": "Chris_Klein", "942": "Chris_Kolanas", "943": "Chris_Matthews", "944": "Chris_Moore", "945": "Chris_Neil", "946": "Chris_Noth", "947": "Chris_Penn", "948": "Chris_Pronger", "949": "Chris_Reitsma", "950": "Chris_Rock", "951": "Chris_Simon", "952": "Chris_Swecker", "953": "Chris_Terry", "954": "Chris_Thomas", "955": "Chris_Tucker", "956": "Chris_Whitney", "957": "Christian_Bale", "958": "Christian_Fittipaldi", "959": "Christian_Gimenez", "960": "Christian_Lacroix", "961": "Christian_Lirette", "962": "Christian_Longo", "963": "Christian_Malcolm", "964": "Christian_Olsson", "965": "Christian_Patino", "966": "Christian_Von_Wernich", "967": "Christian_Wulff", "968": "Christiane_Wulff", "969": "Christina_Aguilera", "970": "Christina_Sawaya", "971": "Christine_Arron", "972": "Christine_Baumgartner", "973": "Christine_Ebersole", "974": "Christine_Gregoire", "975": "Christine_Rau", "976": "Christine_Todd_Whitman", "977": "Christoph_Daum", "978": "Christopher_Amolsch", "979": "Christopher_Conyers", "980": "Christopher_Matero", "981": "Christopher_Patten", "982": "Christopher_Reeve", "983": "Christopher_Russell", "984": "Christopher_Speer", "985": "Christopher_Walken", "986": "Christopher_Whittle", "987": "Christy_Ferer", "988": "Christy_Turlington", "989": "Chuanyun_Li", "990": "Chuck_Amato", "991": "Chuck_Bednarik", "992": "Chuck_Eidson", "993": "Chuck_Finley", "994": "Chuck_Hagel", "995": "Chuck_Woolery", "996": "Chuck_Yeager", "997": "Chung_Mong-hun", "998": "Chung_Mong-joon", "999": "Chyung_Dai-chul", "1000": "Ciaran_Hinds", "1001": "Cindy_Crawford", "1002": "Cindy_Klassen", "1003": "Cindy_Margolis", "1004": "Cindy_Moll", "1005": "Cindy_Taylor", "1006": "Cindy_Zagorski", "1007": "Ciro_Gomes", "1008": "Claire_Danes", "1009": "Claire_De_Gryse", "1010": "Claire_Hentzen", "1011": "Claire_Leger", "1012": "Claire_Tomalin", "1013": "Clara_Harris", "1014": "Clare_Latimer", "1015": "Clare_Short", "1016": "Clark_Randt", "1017": "Claude_Jorda", "1018": "Claudette_Robinson", "1019": "Claudia_Cardinale", "1020": "Claudia_Coslovich", "1021": "Claudia_Pechstein", "1022": "Claudia_Schiffer", "1023": "Claudine_Farrell", "1024": "Claudio_Abbado", "1025": "Claudio_Lopez", "1026": "Claudio_Ranieri", "1027": "Clay_Aiken", "1028": "Clay_Campbell", "1029": "Clemente_de_la_Vega", "1030": "Cliff_Ellis", "1031": "Clifford_Etienne", "1032": "Clifford_Robinson", "1033": "Clint_Eastwood", "1034": "Clint_Howard", "1035": "Clint_Lamebear", "1036": "Clive_Lloyd", "1037": "Clive_Woodward", "1038": "Coco_dEste", "1039": "Cole_Chapman", "1040": "Coleen_Rowley", "1041": "Colin_Campbell", "1042": "Colin_Cowie", "1043": "Colin_Farrell", "1044": "Colin_Jackson", "1045": "Colin_Montgomerie", "1046": "Colin_Phillips", "1047": "Colin_Powell", "1048": "Colin_Prescot", "1049": "Colleen_Atwood", "1050": "Colleen_Donovan", "1051": "Colleen_Jones", "1052": "Colleen_OClair", "1053": "Colleen_Ryan", "1054": "Collis_Temple_III", "1055": "Columba_Bush", "1056": "Compay_Segundo", "1057": "Conan_OBrien", "1058": "Conchita_Martinez", "1059": "Condoleezza_Rice", "1060": "Connie_Chung", "1061": "Connie_Freydell", "1062": "Conrad_Black", "1063": "Constance_Marie", "1064": "Cora_Cambell", "1065": "Coretta_Scott_King", "1066": "Corey_Maggette", "1067": "Cori_Enghusen", "1068": "Corinna_Harfouch", "1069": "Corinne_Coman", "1070": "Corliss_Williamson", "1071": "Cosmo_Iacavazzi", "1072": "Costas_Simitis", "1073": "Courtney_Cox", "1074": "Courtney_Love", "1075": "Craig_Burley", "1076": "Craig_David", "1077": "Craig_Doblin", "1078": "Craig_Fitzgibbon", "1079": "Craig_MacTavish", "1080": "Craig_Morgan", "1081": "Craig_OClair", "1082": "Craig_Wilson", "1083": "Crandall_Bowles", "1084": "Crispin_Glover", "1085": "Cristian_Barros", "1086": "Cristiano_da_Matta", "1087": "Cristina_Fernandez", "1088": "Cristina_Kirchner", "1089": "Cristina_Saralegui", "1090": "Cristina_Torrens_Valero", "1091": "Cruz_Bustamante", "1092": "Cuba_Gooding_Jr", "1093": "Curt_Weldon", "1094": "Curtis_Joseph", "1095": "Curtis_Rodriguez", "1096": "Curtis_Strange", "1097": "Cyndi_Thompson", "1098": "Cynthia_Nixon", "1099": "Cynthia_Rowley", "1100": "DAngelo_Jimenez", "1101": "Dagmar_Dunlevy", "1102": "Dai_Bachtiar", "1103": "Dai_Chul_Chyung", "1104": "Daisy_Fuentes", "1105": "Daja_Bedanova", "1106": "Dalai_Lama", "1107": "Dale_Bosworth", "1108": "Dale_Earnhardt", "1109": "Dale_Earnhardt_Jr", "1110": "Dalia_Rabin-Pelosoff", "1111": "Damarius_Bilbo", "1112": "Damon_Dash", "1113": "Damon_Stoudamire", "1114": "Damon_van_Dam", "1115": "Dan_Ackroyd", "1116": "Dan_Bartlett", "1117": "Dan_Boyle", "1118": "Dan_Bylsma", "1119": "Dan_Dickau", "1120": "Dan_Duquette", "1121": "Dan_Guerrero", "1122": "Dan_Kellner", "1123": "Dan_LaCoutre", "1124": "Dan_Monson", "1125": "Dan_Morales", "1126": "Dan_Prinster", "1127": "Dan_Quayle", "1128": "Dan_Reeves", "1129": "Dan_Snyder", "1130": "Dan_Wheldon", "1131": "Dana_Vollmer", "1132": "Daniel_Barenboim", "1133": "Daniel_Bruehl", "1134": "Daniel_Chin", "1135": "Daniel_Coats", "1136": "Daniel_Comisso_Urdaneta", "1137": "Daniel_Darnell", "1138": "Daniel_Day-Lewis", "1139": "Daniel_Kurtzer", "1140": "Daniel_Montenegro", "1141": "Daniel_Montgomery", "1142": "Daniel_Ortega", "1143": "Daniel_Osorno", "1144": "Daniel_Patrick_Moynihan", "1145": "Daniel_Pearl", "1146": "Daniel_Radcliffe", "1147": "Daniel_Rouse", "1148": "Daniel_Scioli", "1149": "Daniel_Zelman", "1150": "Daniela_Cicarelli", "1151": "Daniela_Hantuchova", "1152": "Daniele_Bergamin", "1153": "Daniele_Hypolito", "1154": "Daniele_Nardello", "1155": "Daniell_Sunjata", "1156": "Danielle_Spencer", "1157": "Danis_Tanovic", "1158": "Danny_Ainge", "1159": "Danny_Avalon", "1160": "Danny_Elfman", "1161": "Danny_Glover", "1162": "Danny_Green", "1163": "Danny_Morgan", "1164": "Dany_Heatley", "1165": "Darcy_Regier", "1166": "Darin_Erstad", "1167": "Dario_Camuffo", "1168": "Dario_Franchitti", "1169": "Dariusz_Michalczewski", "1170": "Darko_Milicic", "1171": "Darla_Moore", "1172": "Darlene_Garrettson", "1173": "Darrell_Dickey", "1174": "Darrell_Issa", "1175": "Darrell_Porter", "1176": "Darrell_Royal", "1177": "Darren_Campel", "1178": "Darren_Clarke", "1179": "Darryl_McDaniels", "1180": "Darryl_Stingley", "1181": "Darvis_Patton", "1182": "Daryl_Hannah", "1183": "Daryl_Jones", "1184": "Daryl_Parks", "1185": "Daryl_Sabara", "1186": "Daryl_Smith", "1187": "Dave_Barr", "1188": "Dave_Campo", "1189": "Dave_Johnson", "1190": "Dave_Lewis", "1191": "Dave_Matthews", "1192": "Dave_McGinnis", "1193": "Dave_McNally", "1194": "Dave_McNealey", "1195": "Dave_Odom", "1196": "Dave_Potter", "1197": "Dave_Ragone", "1198": "Dave_Robertson", "1199": "Dave_Tucker", "1200": "Dave_Wannstedt", "1201": "Dave_Williams", "1202": "Davey_Johnson", "1203": "David_Alpay", "1204": "David_Anderson", "1205": "David_Arquette", "1206": "David_Ballantyne", "1207": "David_Beckham", "1208": "David_Bell", "1209": "David_Bisbal", "1210": "David_Blaine", "1211": "David_Bowie", "1212": "David_Braley", "1213": "David_Brent", "1214": "David_Brinkley", "1215": "David_Brown", "1216": "David_Canary", "1217": "David_Caraway", "1218": "David_Carradine", "1219": "David_Caruso", "1220": "David_Chase", "1221": "David_Collenette", "1222": "David_Coulthard", "1223": "David_Dewayne_Williams", "1224": "David_Dewhurst", "1225": "David_Dodge", "1226": "David_Donohue", "1227": "David_Dorfman", "1228": "David_Duke", "1229": "David_Duval", "1230": "David_Eldon", "1231": "David_Gest", "1232": "David_Glenn", "1233": "David_Hannay", "1234": "David_Hanson", "1235": "David_Hasselhoff", "1236": "David_Heyman", "1237": "David_Heymann", "1238": "David_Hilt", "1239": "David_Ho", "1240": "David_Howard", "1241": "David_Hyde_Pierce", "1242": "David_Kelley", "1243": "David_Kelly", "1244": "David_Leahy", "1245": "David_McCallum", "1246": "David_McCullough", "1247": "David_McKiernan", "1248": "David_Millar", "1249": "David_Modell", "1250": "David_Montoya", "1251": "David_Myers", "1252": "David_Nalbandian", "1253": "David_Obey", "1254": "David_Oh", "1255": "David_Provost", "1256": "David_Przybyszewski", "1257": "David_Rivkin_Jr", "1258": "David_Scott_Morris", "1259": "David_Shayler", "1260": "David_Sibleyk", "1261": "David_Siegel", "1262": "David_Sousa", "1263": "David_Spade", "1264": "David_Stern", "1265": "David_Suazo", "1266": "David_Surrett", "1267": "David_Tornberg", "1268": "David_Trimble", "1269": "David_Welch", "1270": "David_Wells", "1271": "David_Westerfield", "1272": "David_Wolf", "1273": "David_Zeplowitz", "1274": "Davis_Love_III", "1275": "Dawn_Staley", "1276": "Dawna_LoPiccolo", "1277": "Dean_Barker", "1278": "Dean_Barkley", "1279": "Dean_Jacek", "1280": "Dean_Sheremet", "1281": "Deb_Santos", "1282": "Debbie_Allen", "1283": "Debbie_Reynolds", "1284": "Debra_Brown", "1285": "Debra_Messing", "1286": "Debra_Rose", "1287": "Debra_Shank", "1288": "Debra_Yang", "1289": "Deece_Eckstein", "1290": "Deena_Burnett", "1291": "Deepa_Mehta", "1292": "Della_Clara", "1293": "Delphine_Chuillot", "1294": "Demetrin_Veal", "1295": "Demetrius_Ferraciu", "1296": "Demi_Moore", "1297": "Denis_Coderre", "1298": "Denis_Fassou-Nguesso", "1299": "Denise_Johnson", "1300": "Denise_Locke", "1301": "Denise_van_Outen", "1302": "Deniz_Baykal", "1303": "Dennis_Archer", "1304": "Dennis_Erickson", "1305": "Dennis_Franchione", "1306": "Dennis_Hastert", "1307": "Dennis_Johnson", "1308": "Dennis_Kozlowski", "1309": "Dennis_Kucinich", "1310": "Dennis_Miller", "1311": "Dennis_Oswald", "1312": "Dennis_Powell", "1313": "Denys_Arcand", "1314": "Denzel_Washington", "1315": "Dereck_Whittenburg", "1316": "Derek_Abney", "1317": "Derek_Bond", "1318": "Derek_Jeter", "1319": "Derek_King", "1320": "Derek_Lowe", "1321": "Derek_Parra", "1322": "Derian_Hatcher", "1323": "Derrick_Battie", "1324": "Derrick_Rodgers", "1325": "Derrick_Taylor", "1326": "Des_Brown", "1327": "Desiree_Lemosi", "1328": "Desiree_McKenzie", "1329": "Desmon_Farmer", "1330": "Devin_Harris", "1331": "Dewayne_White", "1332": "Dexter_Jackson", "1333": "Diana_Krall", "1334": "Diana_Munz", "1335": "Diana_Renee_Valdivieso_Dubon", "1336": "Diana_Ross", "1337": "Diana_Silvius", "1338": "Diana_Taurasi", "1339": "Diana_Taylor", "1340": "Diane_Green", "1341": "Diane_Ladd", "1342": "Diane_Lane", "1343": "Dianne_Feinstein", "1344": "Dianne_Reeves", "1345": "Dick_Armey", "1346": "Dick_Bennett", "1347": "Dick_Cheney", "1348": "Dick_Clark", "1349": "Dick_Devine", "1350": "Dick_Jauron", "1351": "Dick_Latessa", "1352": "Dick_Posthumus", "1353": "Dick_Smothers", "1354": "Dick_Vermeil", "1355": "Didier_Defago", "1356": "Diego_Armando_Maradona", "1357": "Diego_Colorado", "1358": "Diego_Diego_Lerman", "1359": "Dieter_Holzer", "1360": "Dieter_Zetsche", "1361": "Dimitar_Berbatov", "1362": "Dimitri_Perricos", "1363": "Din_Samsudin", "1364": "Dinah_Turner", "1365": "Dino_Risi", "1366": "Dino_de_Laurentis", "1367": "Dinora_Rosales", "1368": "Dion_Glover", "1369": "Dionigi_Tettamanzi", "1370": "Dionne_Warwick", "1371": "Dionyssis_Georgiadis", "1372": "Dirk_Kempthorne", "1373": "Dita_Von_Tesse", "1374": "Djabir_Said-Guerni", "1375": "Doc_Rivers", "1376": "Dolly_Parton", "1377": "Dolma_Tsering", "1378": "Dominic_Monaghan", "1379": "Dominick_Dunne", "1380": "Dominik_Garcia-Lorido", "1381": "Dominik_Hrbaty", "1382": "Dominique_Perben", "1383": "Dominique_de_Villepin", "1384": "Don_Boudria", "1385": "Don_Carcieri", "1386": "Don_Flanagan", "1387": "Don_Henley", "1388": "Don_Hewitt", "1389": "Don_King", "1390": "Don_Lake", "1391": "Don_Matthews", "1392": "Don_Meredith", "1393": "Don_Nickles", "1394": "Don_Siegelman", "1395": "Donald_Anderson", "1396": "Donald_Carty", "1397": "Donald_Evans", "1398": "Donald_Fehr", "1399": "Donald_Hays", "1400": "Donald_Keck", "1401": "Donald_Keyser", "1402": "Donald_Pettit", "1403": "Donald_Regan", "1404": "Donald_Rumsfeld", "1405": "Donald_Trump", "1406": "Donatella_Versace", "1407": "Donna_Barrera", "1408": "Donna_Brazile", "1409": "Donna_Morrissey", "1410": "Donna_Ralston", "1411": "Donna_Shalala", "1412": "Donna_Walker", "1413": "Donnie_Brennan", "1414": "Donny_Osmond", "1415": "Dora_Bakoyianni", "1416": "Doris_Roberts", "1417": "Doris_Schroeder", "1418": "Dorothy_Lamour", "1419": "Dorothy_Loudon", "1420": "Dorothy_Wilson", "1421": "Dorthy_Moxley", "1422": "Dot_Helms", "1423": "Doug_Christie", "1424": "Doug_Collins", "1425": "Doug_Duncan", "1426": "Doug_Melvin", "1427": "Doug_Moe", "1428": "Doug_Racine", "1429": "Doug_Wilson", "1430": "Douglas_Faneuil", "1431": "Douglas_Gansler", "1432": "Douglas_Meester", "1433": "Douglas_Paal", "1434": "Dragan_Covic", "1435": "Drew_Barrymore", "1436": "Drew_Bledsoe", "1437": "Drew_Gooden", "1438": "Du_Qinglin", "1439": "Duane_Barber", "1440": "Duane_Lee_Chapman", "1441": "Dudley_Rogers", "1442": "Dule_Hill", "1443": "Duncan_Fletcher", "1444": "Dunn_Lampton", "1445": "Dustan_Mohr", "1446": "Dustin_Brown", "1447": "Dustin_Hoffman", "1448": "Dusty_Baker", "1449": "Dwain_Kyles", "1450": "Dwayne_Johnson", "1451": "Dwayne_Wade", "1452": "Dwayne_Williams", "1453": "Dyab_Abou_Jahjah", "1454": "Dyana_Calub", "1455": "E_Clay_Shaw", "1456": "Earl_Campbell", "1457": "Earl_Counter", "1458": "Earl_Fritts", "1459": "Earl_Scruggs", "1460": "Ed_Book", "1461": "Ed_Case", "1462": "Ed_Mekertichian", "1463": "Ed_Rendell", "1464": "Ed_Rosenthal", "1465": "Ed_Smart", "1466": "Ed_Sullivan", "1467": "Ed_Wade", "1468": "Eddie_Compass", "1469": "Eddie_Fenech_Adami", "1470": "Eddie_Jordan", "1471": "Eddie_Lewis", "1472": "Eddie_Lucio", "1473": "Eddie_Murray", "1474": "Eddie_Sutton", "1475": "Eddy_Hartenstein", "1476": "Eddy_Merckx", "1477": "Edgar_Savisaar", "1478": "Edie_Falco", "1479": "Edina_Batar", "1480": "Edith_Masai", "1481": "Edmund_Hillary", "1482": "Edmund_Stoiber", "1483": "Edouard_Michelin", "1484": "Eduard_Limonov", "1485": "Eduard_Shevardnadze", "1486": "Eduardo_Chillida", "1487": "Eduardo_Duhalde", "1488": "Eduardo_Fischer", "1489": "Eduardo_Romero", "1490": "Edward_Albee", "1491": "Edward_Arsenault", "1492": "Edward_Belvin", "1493": "Edward_Burns", "1494": "Edward_Egan", "1495": "Edward_Flynn", "1496": "Edward_Greenspan", "1497": "Edward_James_Olmos", "1498": "Edward_Johnson", "1499": "Edward_Kennedy", "1500": "Edward_Lohn", "1501": "Edward_Lu", "1502": "Edward_Norton", "1503": "Edward_Said", "1504": "Edward_Seaga", "1505": "Edwin_Edwards", "1506": "Edwina_Currie", "1507": "Efrain_Rios_Montt", "1508": "Eglis_Yaima_Cruz", "1509": "Eileen_Coparropa", "1510": "Eileen_Spina", "1511": "Einars_Repse", "1512": "Ekaterina_Dmitriev", "1513": "Ekke_Hard_Forberg", "1514": "El_Hadji_Diouf", "1515": "Eladio_Larez", "1516": "Elaine_Chao", "1517": "Elaine_Stritch", "1518": "Elena_Bereznaya", "1519": "Elena_Bovina", "1520": "Elena_Dementieva", "1521": "Elena_Likhovtseva", "1522": "Elena_Tihomirova", "1523": "Elena_de_Chavez", "1524": "Elgin_Baylor", "1525": "Eli_Broad", "1526": "Eli_Rosenbaum", "1527": "Eli_Stutsman", "1528": "Eliane_Karp", "1529": "Elias_Attallah", "1530": "Elijah_Wood", "1531": "Elijan_Ingram", "1532": "Elin_Nordegren", "1533": "Elinor_Caplan", "1534": "Eliott_Spitzer", "1535": "Elisabeth_Schumacher", "1536": "Elisabeth_Welch", "1537": "Elisha_Cuthbert", "1538": "Eliza_Dushku", "1539": "Eliza_Manningham-Buller", "1540": "Elizabeth_Berkeley", "1541": "Elizabeth_Dole", "1542": "Elizabeth_Hill", "1543": "Elizabeth_Hurley", "1544": "Elizabeth_Pena", "1545": "Elizabeth_Regan", "1546": "Elizabeth_Shue", "1547": "Elizabeth_Smart", "1548": "Elizabeth_Taylor", "1549": "Ellen_Barkin", "1550": "Ellen_DeGeneres", "1551": "Ellen_Engleman", "1552": "Ellen_MacArthur", "1553": "Ellen_Martin", "1554": "Ellen_Pompeo", "1555": "Ellen_Saracini", "1556": "Elliott_Mincberg", "1557": "Elmar_Brok", "1558": "Elodie_Bouchez", "1559": "Eloy_Gutierrez", "1560": "Elsa_Zylberstein", "1561": "Elton_John", "1562": "Elva_Hsiao", "1563": "Elvis_Costello", "1564": "Elvis_Presley", "1565": "Elvis_Stojko", "1566": "Emanuel_Ginobili", "1567": "Emelie_Loit", "1568": "Emile_Lahoud", "1569": "Emilio_Azcarraga_Jean", "1570": "Emilio_Botin", "1571": "Emily_Mason", "1572": "Emily_Mortimer", "1573": "Emily_Robison", "1574": "Emily_Stevens", "1575": "Eminem", "1576": "Emma_Nicholson", "1577": "Emma_Thompson", "1578": "Emma_Watson", "1579": "Emmanuel_Filiberto", "1580": "Emmanuel_Milingo", "1581": "Emmanuelle_Beart", "1582": "Emmanuelle_Jagodsinski", "1583": "Emmit_Smith", "1584": "Emmy_Rossum", "1585": "Emyr_Jones_Parry", "1586": "Enola_Rice", "1587": "Enos_Slaughter", "1588": "Enrica_Fico", "1589": "Enrik_Vendt", "1590": "Enrique_Bolanos", "1591": "Enrique_Haroldo_Gorriaran_Merlo", "1592": "Enrique_Iglesias", "1593": "Enrique_Medina_Gomez", "1594": "Enrique_Oliu", "1595": "Eric_Bana", "1596": "Eric_Benet", "1597": "Eric_Christian_Olsen", "1598": "Eric_Clapton", "1599": "Eric_Daze", "1600": "Eric_Dubin", "1601": "Eric_Fehr", "1602": "Eric_Hinske", "1603": "Eric_Idle", "1604": "Eric_Lindros", "1605": "Eric_Lloyd", "1606": "Eric_Robert_Rudolph", "1607": "Eric_Rosser", "1608": "Eric_Ryan_Donnelly", "1609": "Eric_Schacht", "1610": "Eric_Shinseki", "1611": "Eric_Snow", "1612": "Eric_Staal", "1613": "Eric_Taino", "1614": "Eric_Vigouroux", "1615": "Eric_Wedge", "1616": "Erick_Barkley", "1617": "Erik_Morales", "1618": "Erika_Christensen", "1619": "Erika_Harold", "1620": "Erika_Reyes", "1621": "Eriko_Tamura", "1622": "Erin_Brockovich", "1623": "Erin_Hershey_Presley", "1624": "Erin_Runnion", "1625": "Ernest_Hollings", "1626": "Ernesto_Zedillo", "1627": "Ernie_Els", "1628": "Ernie_Eves", "1629": "Ernie_Fletcher", "1630": "Ernie_Grunfeld", "1631": "Ernie_Harwell", "1632": "Ernie_Preate", "1633": "Ernie_Stewart", "1634": "Erskine_Bowles", "1635": "Erwin_Abdullah", "1636": "Erwin_Mapasseng", "1637": "Esad_Landzo", "1638": "Esteban_Cordoba-Velazquez", "1639": "Estella_Warren", "1640": "Estelle_Morris", "1641": "Ester_Canadas", "1642": "Esther_Macklin", "1643": "Ethan_Hawke", "1644": "Etta_James", "1645": "Eugene_Melnyk", "1646": "Eugene_Teslovic", "1647": "Eunice_Barber", "1648": "Eurico_Guterres", "1649": "Eva_Amurri", "1650": "Eva_Dimas", "1651": "Eva_Herzigova", "1652": "Eva_Marie_Saint", "1653": "Eva_Mendes", "1654": "Evan_Marriott", "1655": "Evan_Rachel_Wood", "1656": "Evander_Holyfield", "1657": "Eve_Ensler", "1658": "Eve_Pelletier", "1659": "Evelyn_Lauder", "1660": "Evgeni_Plushenko", "1661": "Evie_Lazarou", "1662": "Evo_Morales", "1663": "Ewan_McGregor", "1664": "Fabian_Vargas", "1665": "Fabiola_Zuluaga", "1666": "Fabrice_Santoro", "1667": "Fabricio_Oberto", "1668": "Faisal_Iqbal", "1669": "Faisal_Saleh_Hayat", "1670": "Fann_Wong", "1671": "Farida_Ragoonanan", "1672": "Farouk_Kaddoumi", "1673": "Farouk_al-Sharaa", "1674": "Fatma_Kusibeh", "1675": "Fatmir_Limaj", "1676": "Faye_Alibocus", "1677": "Faye_Dunaway", "1678": "Faye_Wong", "1679": "Fayssal_Mekdad", "1680": "Fazal-ur-Rehman", "1681": "Federico_Castelan_Sayre", "1682": "Federico_Fellini", "1683": "Federico_Trillo", "1684": "Feliciano_Lopez", "1685": "Felicity_Huffman", "1686": "Felipe_De_Borbon", "1687": "Felipe_Fernandez", "1688": "Felipe_Perez_Roque", "1689": "Felix_Doh", "1690": "Felix_Mantilla", "1691": "Felix_Sanchez", "1692": "Felix_Trinidad", "1693": "Ferenc_Madl", "1694": "Fernando_Alonso", "1695": "Fernando_Gonzalez", "1696": "Fernando_Henrique_Cardoso", "1697": "Fernando_Hierro", "1698": "Fernando_Leon_de_Aranoa", "1699": "Fernando_Sanz", "1700": "Fernando_Valenzuela", "1701": "Fernando_Vargas", "1702": "Fernando_Velardez", "1703": "Festus_Mogae", "1704": "Fidel_Castro", "1705": "Fidel_Castro_Daiz-Balart", "1706": "Filip_De_Winter", "1707": "Filippo_Inzaghi", "1708": "Filippo_Volandri", "1709": "Fiona_Milne", "1710": "Flavia_Delaroli", "1711": "Flavia_Pennetta", "1712": "Flor_Montulo", "1713": "Florecita_Cobian", "1714": "Florencia_Kirchner", "1715": "Florencia_Macri", "1716": "Floyd_Keith", "1717": "Floyd_Mayweather", "1718": "Fran_Drescher", "1719": "Frances_Fisher", "1720": "Francesco_Totti", "1721": "Francis_Collins", "1722": "Francis_Crick", "1723": "Francis_Ford_Coppola", "1724": "Francis_George", "1725": "Francis_Mer", "1726": "Francis_Ricciardone", "1727": "Francisco_Flores", "1728": "Francisco_Garcia", "1729": "Francisco_Maturana", "1730": "Francisco_Santos", "1731": "Francisco_Urenda", "1732": "Franck_Cerutti", "1733": "Franco_Cangele", "1734": "Franco_Dragone", "1735": "Franco_Frattini", "1736": "Francois_Botha", "1737": "Francois_Ozon", "1738": "Francois_Pienaar", "1739": "Frank_Abagnale_Jr", "1740": "Frank_Beamer", "1741": "Frank_Bell", "1742": "Frank_Cassell", "1743": "Frank_Coraci", "1744": "Frank_Dunham_Jr", "1745": "Frank_Griswold", "1746": "Frank_Hilldrup", "1747": "Frank_Hsieh", "1748": "Frank_Keating", "1749": "Frank_Lautenberg", "1750": "Frank_Marshall", "1751": "Frank_Murkowski", "1752": "Frank_Pallone", "1753": "Frank_Schmoekel", "1754": "Frank_Shea", "1755": "Frank_Sinatra", "1756": "Frank_Solich", "1757": "Frank_Stallone", "1758": "Frank_Taylor", "1759": "Frank_Van_Ecke", "1760": "Frank_Wycheck", "1761": "Frank_Zappa", "1762": "Franklin_Brown", "1763": "Franklin_Damann", "1764": "Franko_Simatovic", "1765": "Franz_Beckenbauer", "1766": "Franz_Fischler", "1767": "Franz_Gsell", "1768": "Franz_Muentefering", "1769": "Fred_Durst", "1770": "Fred_Eckhard", "1771": "Fred_Funk", "1772": "Fred_Huff", "1773": "Fred_Rogers", "1774": "Fred_Swan", "1775": "Fred_Thompson", "1776": "Fred_Wilpon", "1777": "Freda_Black", "1778": "Freddy_Garcia", "1779": "Freddy_Vasques_Kinchokpe", "1780": "Frederick_Madden", "1781": "Frederique_van_der_Wal", "1782": "Fredric_Seaman", "1783": "Fruit_Chan", "1784": "Fujio_Cho", "1785": "Fujio_Mitarai", "1786": "GL_Peiris", "1787": "Gabi_Zimmer", "1788": "Gabriel_Batistuta", "1789": "Gabriel_Farhi", "1790": "Gabriel_Hughes", "1791": "Gabriel_Jorge_Ferreia", "1792": "Gabriel_Valdes", "1793": "Gabriella_Bo", "1794": "Gabrielle_Rose", "1795": "Gabrielle_Union", "1796": "Gael_Garcia_Bermal", "1797": "Gala_Leon_Garcia", "1798": "Galen_Rowell", "1799": "Gao_Qiang", "1800": "Garry_Alejano", "1801": "Garry_Kasparov", "1802": "Garry_McCoy", "1803": "Garry_Trudeau", "1804": "Garry_Witherall", "1805": "Garth_Drabinsky", "1806": "Gary_Bald", "1807": "Gary_Barnett", "1808": "Gary_Bauer", "1809": "Gary_Bergeron", "1810": "Gary_Bettman", "1811": "Gary_Carter", "1812": "Gary_Coleman", "1813": "Gary_Condit", "1814": "Gary_Dellaverson", "1815": "Gary_Doer", "1816": "Gary_Forsee", "1817": "Gary_Gero", "1818": "Gary_Gitnick", "1819": "Gary_Leon_Ridgway", "1820": "Gary_Locke", "1821": "Gary_Marshall", "1822": "Gary_Paer", "1823": "Gary_Sayler", "1824": "Gary_Sinise", "1825": "Gary_Stevens", "1826": "Gary_Williams", "1827": "Gary_Winnick", "1828": "Gaston_Gaudio", "1829": "Gavin_Degraw", "1830": "Gavyn_Arthur", "1831": "Gavyn_Davies", "1832": "Gen_Meredith", "1833": "Gene_Autry", "1834": "Gene_Hackman", "1835": "Gene_Keady", "1836": "Gene_Orza", "1837": "Gene_Robinson", "1838": "Gene_Sauers", "1839": "Gennifer_Flowers", "1840": "Geno_Auriemma", "1841": "Geoff_Dixon", "1842": "Geoff_Hoon", "1843": "Geoffrey_Davis", "1844": "Geoffrey_Rush", "1845": "George_Allen", "1846": "George_Blaney", "1847": "George_Bovell", "1848": "George_Brumley", "1849": "George_Brumley_III", "1850": "George_Clooney", "1851": "George_Foreman", "1852": "George_Galloway", "1853": "George_Gregan", "1854": "George_HW_Bush", "1855": "George_Harrison", "1856": "George_Karl", "1857": "George_Lopez", "1858": "George_Lucas", "1859": "George_Maxwell_Richards", "1860": "George_McCloud", "1861": "George_Murphy", "1862": "George_P_Bush", "1863": "George_Papandreou", "1864": "George_Pataki", "1865": "George_Plimpton", "1866": "George_Robertson", "1867": "George_Roy_Hill", "1868": "George_Ryan", "1869": "George_Tenet", "1870": "George_Voinovich", "1871": "George_W_Bush", "1872": "Georgi_Parvanov", "1873": "Georgia_Giddings", "1874": "Georgina_Bardach", "1875": "Georgina_Papin", "1876": "Geovani_Lapentti", "1877": "Gerald_Barbarito", "1878": "Gerald_Calabrese", "1879": "Gerald_Fitch", "1880": "Gerald_Ford", "1881": "Gerald_Riley", "1882": "Geraldine_Chaplin", "1883": "Geraldo_Rivera", "1884": "Gerard_Butler", "1885": "Gerard_Depardieu", "1886": "Gerard_Kleisterlee", "1887": "Gerard_Tronche", "1888": "Gerard_de_Cortanze", "1889": "Gerardo_Gambala", "1890": "Gerhard_Boekel", "1891": "Gerhard_Schmid", "1892": "Gerhard_Schroeder", "1893": "German_Khan", "1894": "Gerrit_Zalm", "1895": "Gerry_Adams", "1896": "Gerry_Kelly", "1897": "Gerry_Parsky", "1898": "Ghassan_Elashi", "1899": "Gholamreza_Aghazadeh", "1900": "Gian_Marco", "1901": "Giancarlo_Fisichella", "1902": "Gianna_Angelopoulos-Daskalaki", "1903": "Gianni_Agnelli", "1904": "Giannina_Facio", "1905": "Gideon_Black", "1906": "Gideon_Yago", "1907": "Gil_Cates", "1908": "Gil_de_Ferran", "1909": "Gilberto_Rodriguez_Orejuela", "1910": "Gilberto_Simoni", "1911": "Gilles_Panizzi", "1912": "Gillian_Anderson", "1913": "Gina_Centrello", "1914": "Gina_Gershon", "1915": "Gina_Lollobrigida", "1916": "Gina_Torres", "1917": "Giovanny_Cordoba", "1918": "Gisele_Bundchen", "1919": "Giselle_Estefania_Tavarelli", "1920": "Giulietta_Masina", "1921": "Giulio_Andreotti", "1922": "Giuseppe_Gibilisco", "1923": "Giuseppe_Morchio", "1924": "Glafcos_Clerides", "1925": "Glen_Clark", "1926": "Glen_DaSilva", "1927": "Glen_Sather", "1928": "Glenn_Plummer", "1929": "Glenn_Rivers", "1930": "Glenn_Tilton", "1931": "Gloria_Allred", "1932": "Gloria_Gaynor", "1933": "Gloria_Macapagal_Arroyo", "1934": "Gloria_Trevi", "1935": "Goh_Kun", "1936": "Goldie_Hawn", "1937": "Gong_Li", "1938": "Gong_Ruina", "1939": "Gonzalo_Barrientos", "1940": "Gonzalo_Sanchez_de_Lozada", "1941": "Goran_Persson", "1942": "Goran_Zivkovic", "1943": "Gordana_Grubin", "1944": "Gorden_Tallis", "1945": "Gordon_Brown", "1946": "Gordon_Campbell", "1947": "Gordon_Cooper", "1948": "Gordon_Lightfoot", "1949": "Gordon_McDonald", "1950": "Gore_Verbinski", "1951": "Gore_Vidal", "1952": "Grace_Brinell", "1953": "Grace_Dodd", "1954": "Grace_Kelly", "1955": "Gracia_Burnham", "1956": "Graciano_Rocchigiani", "1957": "Grady_Irvin_Jr", "1958": "Grady_Little", "1959": "Graeme_Lloyd", "1960": "Graeme_Smith", "1961": "Graham_Bentley", "1962": "Grant_Hackett", "1963": "Grant_Rossenmeyer", "1964": "Gray_Davis", "1965": "Greg_Frers", "1966": "Greg_Gilbert", "1967": "Greg_Hennigar", "1968": "Greg_Hodge", "1969": "Greg_Kinnear", "1970": "Greg_Kinsey", "1971": "Greg_Ostertag", "1972": "Greg_Owen", "1973": "Greg_Rusedski", "1974": "Gregg_Berhalter", "1975": "Gregg_Popovich", "1976": "Gregor_Gysi", "1977": "Gregorio_Honasan", "1978": "Gregorio_Rosal", "1979": "Gregory_Geoffroy", "1980": "Gregory_Hines", "1981": "Gregory_Peck", "1982": "Gretchen_Mol", "1983": "Griffin_Colvin", "1984": "Gro_Harlem_Brundtland", "1985": "Guangdong_Ou_Guangyuan", "1986": "Guennadi_Chipouline", "1987": "Guenter_Verheugen", "1988": "Guido_Westerwelle", "1989": "Guillaume_Cannet", "1990": "Guillaume_Depardieu", "1991": "Guillaume_Soro", "1992": "Guillermo_Canas", "1993": "Guillermo_Coria", "1994": "Guillermo_Monroy", "1995": "Guillermo_Ortiz", "1996": "Guillermo_Ruiz_Polanco", "1997": "Gunilla_Backman", "1998": "Gunter_Pleuger", "1999": "Gus_Frerotte", "2000": "Gus_Van_Sant", "2001": "Gustavo_Cisneros", "2002": "Gustavo_Franco", "2003": "Gustavo_Kuerten", "2004": "Gustavo_Noboa", "2005": "Gustavo_Terrazas", "2006": "Guus_Hiddink", "2007": "Guy_Hemmings", "2008": "Guy_Ritchie", "2009": "Guy_Verhofstadt", "2010": "Gwen_Stefani", "2011": "Gwendal_Peizerat", "2012": "Gwyneth_Paltrow", "2013": "Habib_Hisham", "2014": "Habib_Rizieq", "2015": "Hadley_Bilger", "2016": "Hal_Gehman", "2017": "Hal_McCoy", "2018": "Hal_Sellers", "2019": "Hal_Sutton", "2020": "Halbert_Fillinger", "2021": "Halle_Berry", "2022": "Ham_Pong-sil", "2023": "Hama_Arba_Diallo", "2024": "Hamad_Bin_Isa_al-Khalifa", "2025": "Hamad_Bin_Jassim", "2026": "Hamid_Efendi", "2027": "Hamid_Karzai", "2028": "Hamid_Reza_Asefi", "2029": "Hamza_Atiya_Muhsen", "2030": "Hamzah_Haz", "2031": "Han_Sung_Joo", "2032": "Hana_Makhmalbaf", "2033": "Hana_Sadiq", "2034": "Hana_Urushima", "2035": "Hanan_Ashrawi", "2036": "Hank_Aaron", "2037": "Hank_Azaria", "2038": "Hank_Bass", "2039": "Hank_McKinnell", "2040": "Hank_Stram", "2041": "Hannah_Stockbauer", "2042": "Hanns_Schumacher", "2043": "Hans-Christian_Schmid", "2044": "Hans_Blix", "2045": "Hans_Corell", "2046": "Hans_Eichel", "2047": "Hans_Leistritz", "2048": "Hans_Peter_Briegel", "2049": "Harald_Ringstorff", "2050": "Harbhajan_Singh", "2051": "Harland_Braun", "2052": "Harold_Brown", "2053": "Harold_Scott", "2054": "Harriet_Lessy", "2055": "Harrison_Ford", "2056": "Harry_Belafonte", "2057": "Harry_Kalas", "2058": "Harry_Schmidt", "2059": "Hartmut_Mehdorn", "2060": "Harvey_Fierstein", "2061": "Harvey_Wachsman", "2062": "Harvey_Weinstein", "2063": "Hasan_Wirayuda", "2064": "Hashan_Tillakaratne", "2065": "Hashim_Thaci", "2066": "Hassan_Nasrallah", "2067": "Hassan_Wirajuda", "2068": "Hassanal_Bolkiah", "2069": "Hatsui_Hasuike", "2070": "Haydar_Aliyev", "2071": "Hayden_Panettiere", "2072": "Hayley_Tullett", "2073": "Heath_Ledger", "2074": "Heather_Chinnock", "2075": "Heather_Locklear", "2076": "Heather_Mills", "2077": "Heather_Whitestone_McCallum", "2078": "Heather_Willson", "2079": "Hector_Babenco", "2080": "Hector_Grullon", "2081": "Hector_Mitelman", "2082": "Hedayat_Amin_Arsala", "2083": "Hee-Won_Han", "2084": "Heidi_Fleiss", "2085": "Heidi_Klum", "2086": "Heinrich_Wolfgang", "2087": "Heinz_Feldmann", "2088": "Heizo_Takenaka", "2089": "Helen_Alvare", "2090": "Helen_Clark", "2091": "Helen_Darling", "2092": "Helena_Schneider", "2093": "Helene_Eksterowicz", "2094": "Helio_Castroneves", "2095": "Helio_Rubens_Garcia", "2096": "Helmut_Panke", "2097": "Helo_Pinheiro", "2098": "Henk_Bekedam", "2099": "Henning_Scherf", "2100": "Henri_Proglio", "2101": "Henrique_Meirelles", "2102": "Henry_Castellanos", "2103": "Henry_Hilow", "2104": "Henry_Hyde", "2105": "Henry_Kissinger", "2106": "Henry_Suazo", "2107": "Herb_Brooks", "2108": "Herb_Dhaliwal", "2109": "Herb_Ritts", "2110": "Herb_Sendek", "2111": "Herbert_Haupt", "2112": "Herbie_Hancock", "2113": "Herman_Edwards", "2114": "Herman_Moore", "2115": "Hermando_Harton", "2116": "Hermann_Maier", "2117": "Hermes_Gamonal", "2118": "Hermogenes_Ebdane_Jr", "2119": "Hernan_Crespo", "2120": "Hernan_Diaz", "2121": "Herta_Daeubler-Gmelin", "2122": "Hestrie_Cloette", "2123": "Hichiro_Naemura", "2124": "Hideki_Matsui", "2125": "Hideki_Sato", "2126": "Hidetoshi_Nakata", "2127": "Hikmat_al-Azzawi", "2128": "Hilary_Duff", "2129": "Hilary_McKay", "2130": "Hilda_Fortune", "2131": "Hillary_Clinton", "2132": "Hilmi_Akin_Zorlu", "2133": "Hilmi_Ozkok", "2134": "Himmler_Rebu", "2135": "Hipolito_Mejia", "2136": "Hiroki_Gomi", "2137": "Hiroyuki_Yoshino", "2138": "Hisao_Oguchi", "2139": "Hisashi_Owada", "2140": "Hisham_Halawi", "2141": "Hitomi_Soga", "2142": "Hitoshi_Oshitani", "2143": "Hitoshi_Tanaka", "2144": "Hoda_Asfor", "2145": "Holly_Hunter", "2146": "Holly_Robinson_Peete", "2147": "Hong_Myung", "2148": "Hootie_Johnson", "2149": "Horace_Donovan_Reid", "2150": "Horace_Newcomb", "2151": "Horacio_Julio_Pina", "2152": "Horacio_de_Jesus_Montoya", "2153": "Horst_Koehler", "2154": "Hosni_Mubarak", "2155": "Howard_Dean", "2156": "Howard_Ross", "2157": "Howard_Schultz", "2158": "Howard_Smith", "2159": "Howard_Stern", "2160": "Howard_Stringer", "2161": "Howard_Wilkinson", "2162": "Hrithik_Roshan", "2163": "Hu_Jintao", "2164": "Hu_Maoyuan", "2165": "Huan_Chung_Yi", "2166": "Huang_Suey-Sheng", "2167": "Hubert_Green", "2168": "Hubie_Brown", "2169": "Hugh_Campbell", "2170": "Hugh_Carey", "2171": "Hugh_Grant", "2172": "Hugh_Hefner", "2173": "Hugh_Jessiman", "2174": "Hugh_Miller", "2175": "Hugo_Chavez", "2176": "Hugo_Colace", "2177": "Hugo_Conte", "2178": "Humberto_Coelho", "2179": "Humberto_Espinoza", "2180": "Hun_Sen", "2181": "Hung_Wan-ting", "2182": "Hunter_Bates", "2183": "Hunter_Kemper", "2184": "Hushiar_Zebari", "2185": "Hussam_Mohammed_Amin", "2186": "Hussein_Malik", "2187": "Hutomo_Mandala_Putra", "2188": "Hwang_Doo-yun", "2189": "Iain_Anderson", "2190": "Iain_Duncan_Smith", "2191": "Iain_Richmond", "2192": "Ian_Campbell", "2193": "Ian_Gillan", "2194": "Ian_Huntley", "2195": "Ian_Knop", "2196": "Ian_McKellen", "2197": "Ian_Moran", "2198": "Ian_Smith", "2199": "Ian_Thorpe", "2200": "Ian_Wilmut", "2201": "Iban_Mayo", "2202": "Ibrahim_Al-Marashi", "2203": "Ibrahim_Haddad", "2204": "Ibrahim_Hilal", "2205": "Ibrahim_Jaafari", "2206": "Ibrahim_Rugova", "2207": "Idi_Amin", "2208": "Ignacio_Antonio_Velasco", "2209": "Ignatius_Wang", "2210": "Igor_Ivanov", "2211": "Igor_Trunov", "2212": "Ilan_Goldfajn", "2213": "Ilan_Ramon", "2214": "Ilham_Aliev", "2215": "Ilie_Nastase", "2216": "Imad_Khadduri", "2217": "Imad_Moustapha", "2218": "Imam_Samudra", "2219": "Imelda_Marcos", "2220": "Imran_Khan", "2221": "Imre_Kertasz", "2222": "Inam-ul-Haq", "2223": "Infanta_Cristina", "2224": "Inga_Hall", "2225": "Ingrid_Betancourt", "2226": "Inocencio_Arias", "2227": "Intisar_Ajouri", "2228": "Ion_Iliescu", "2229": "Ion_Tiriac", "2230": "Ira_Einhorn", "2231": "Iran_Brown", "2232": "Irene_Kahn", "2233": "Irfan_Ahmed", "2234": "Irina_Framtsova", "2235": "Irina_Lobacheva", "2236": "Irina_Yatchenko", "2237": "Irv_Nathan", "2238": "Irwan_Fadzi_Idris", "2239": "Isabel_Orellana", "2240": "Isabela_Moraes", "2241": "Isabella_Rossellini", "2242": "Isabelle_Huppert", "2243": "Isaiah_Washington", "2244": "Ishaq_Shahryar", "2245": "Isidro_Pastor", "2246": "Islam_Karimov", "2247": "Ismael_Miranda", "2248": "Ismail_Abu_Shanab", "2249": "Ismail_Cem", "2250": "Ismail_Khan", "2251": "Ismail_Merchant", "2252": "Itamar_Franco", "2253": "Itzhak_Perlman", "2254": "Iva_Majoli", "2255": "Ivan_Helguera", "2256": "Ivan_Lee", "2257": "Ivan_Shvedoff", "2258": "Ivan_Stambolic", "2259": "Ivana_Trump", "2260": "Iveta_Benesova", "2261": "Ivo_Dubs", "2262": "Izzat_Ibrahim", "2263": "JC_Chasez", "2264": "JJ_Redick", "2265": "JK_Rowling", "2266": "JP_Suarez", "2267": "JT_Snow", "2268": "Jaap_de_Hoop_Scheffer", "2269": "Jack_Goodman", "2270": "Jack_Grubman", "2271": "Jack_Knowlton", "2272": "Jack_LaLanne", "2273": "Jack_Nicholson", "2274": "Jack_Osbourne", "2275": "Jack_Smith", "2276": "Jack_Straw", "2277": "Jack_Valenti", "2278": "Jack_Welch", "2279": "Jackie_Chan", "2280": "Jackie_Dennis", "2281": "Jackie_Sherrill", "2282": "Jacky_Cheung", "2283": "Jacob_Frenkel", "2284": "Jacqueline_Edwards", "2285": "Jacqueline_Gold", "2286": "Jacqueline_Marris", "2287": "Jacqueline_Obradors", "2288": "Jacques_Chirac", "2289": "Jacques_Kallis", "2290": "Jacques_Rogge", "2291": "Jacques_Villeneuve", "2292": "Jada_Pinkett_Smith", "2293": "Jade_Jagger", "2294": "Jafar_Umar_Thalib", "2295": "Jaime_Orti", "2296": "Jaime_Pressly", "2297": "Jake_Brace", "2298": "Jake_Gyllenhaal", "2299": "Jake_Plummer", "2300": "Jakob_Kellenberger", "2301": "Jalal_Talabani", "2302": "Jalen_Rose", "2303": "James_Baker", "2304": "James_Ballenger", "2305": "James_Barksdale", "2306": "James_Becker", "2307": "James_Blake", "2308": "James_Brazelton", "2309": "James_Brosnahan", "2310": "James_Brown", "2311": "James_Butts", "2312": "James_Caan", "2313": "James_Cameron", "2314": "James_Carville", "2315": "James_Coburn", "2316": "James_Collinson", "2317": "James_Comey", "2318": "James_Coviello", "2319": "James_Cunningham", "2320": "James_Dingemans", "2321": "James_Franco", "2322": "James_Gandolfini", "2323": "James_Gibson", "2324": "James_Hakett", "2325": "James_Hallock", "2326": "James_Harris", "2327": "James_Hill", "2328": "James_Hoffa", "2329": "James_Hughes", "2330": "James_Ivory", "2331": "James_Jones", "2332": "James_Kelly", "2333": "James_Kirtley", "2334": "James_Kopp", "2335": "James_Layug", "2336": "James_Lockhart", "2337": "James_Maguire", "2338": "James_Mathis", "2339": "James_May", "2340": "James_McGreevey", "2341": "James_McMahon", "2342": "James_McPherson", "2343": "James_Meeks", "2344": "James_Meredeth", "2345": "James_Morris", "2346": "James_Murdoch", "2347": "James_Parker", "2348": "James_Phelps", "2349": "James_Roberts", "2350": "James_Robertson_Jr", "2351": "James_Schultz", "2352": "James_Sensenbrenner", "2353": "James_Smith", "2354": "James_Spalding", "2355": "James_Traficant", "2356": "James_W_Kennedy", "2357": "James_Wallack", "2358": "James_Watt", "2359": "James_Wattana", "2360": "James_Williams", "2361": "James_Wolfensohn", "2362": "James_Young", "2363": "Jamie_Carey", "2364": "Jamie_Cooke", "2365": "Jamie_Dimon", "2366": "Jamie_Kellner", "2367": "Jamie_King", "2368": "Jamie_Lee_Curtis", "2369": "Jamie_Martin", "2370": "Jamie_Olis", "2371": "Jamie_Villafane", "2372": "Jamir_Miller", "2373": "Jamling_Norgay", "2374": "Jan-Michael_Gambill", "2375": "Jan_Bjoerklund", "2376": "Jan_De_Bont", "2377": "Jan_Paul_Miller", "2378": "Jan_Peter_Balkenende", "2379": "Jan_Petersen", "2380": "Jan_Pronk", "2381": "Jan_Ullrich", "2382": "Jan_van_Breda_Kolff", "2383": "Jana_Henke", "2384": "Jana_Pittman", "2385": "Jane_Clayson", "2386": "Jane_Fonda", "2387": "Jane_Kaczmarek", "2388": "Jane_Krakowski", "2389": "Jane_Leeves", "2390": "Jane_Menelaus", "2391": "Jane_Pauley", "2392": "Jane_Riley", "2393": "Jane_Rooney", "2394": "Jane_Russell", "2395": "Jane_Walker_Wood", "2396": "Janela_Jara", "2397": "Janet_Chandler", "2398": "Janet_Crawford", "2399": "Janet_Ecker", "2400": "Janet_Horvath", "2401": "Janet_Leigh", "2402": "Janet_Napolitano", "2403": "Janet_Thorpe", "2404": "Janette_Husarova", "2405": "Janez_Drnovsek", "2406": "Janica_Kostelic", "2407": "Janice_Abreu", "2408": "Janice_Goldfinger", "2409": "Janine_Pietsch", "2410": "Janis_Ruth_Coulter", "2411": "Janusz_Kaminski", "2412": "Jaouad_Gharib", "2413": "Jaqueline_Godoy", "2414": "Jaromir_Jagr", "2415": "Jason_Alexander", "2416": "Jason_Bentley", "2417": "Jason_Biggs", "2418": "Jason_Campbell", "2419": "Jason_Clermont", "2420": "Jason_Gardner", "2421": "Jason_Jennings", "2422": "Jason_Kapono", "2423": "Jason_Keep", "2424": "Jason_Kidd", "2425": "Jason_Lezak", "2426": "Jason_Mewes", "2427": "Jason_Petty", "2428": "Jason_Priestley", "2429": "Jason_Sehorn", "2430": "Jason_Sorens", "2431": "Jason_Statham", "2432": "Jason_Vale", "2433": "Jason_White", "2434": "Javier_Bardem", "2435": "Javier_Camara", "2436": "Javier_Delgado", "2437": "Javier_Saviola", "2438": "Javier_Solana", "2439": "Javier_Vargas", "2440": "Javier_Vazquez", "2441": "Javier_Weber", "2442": "Javier_Zanetti", "2443": "Jawad_Boulus", "2444": "Jay_Garner", "2445": "Jay_Leno", "2446": "Jay_Rasulo", "2447": "Jaymon_Crabb", "2448": "Jayne_Yarris", "2449": "Jayson_Williams", "2450": "Jean-Claude_Braquet", "2451": "Jean-Claude_Juncker", "2452": "Jean-Claude_Trichet", "2453": "Jean-Claude_Van_Damme", "2454": "Jean-David_Levitte", "2455": "Jean-Francois_Lemounier", "2456": "Jean-Francois_Pontal", "2457": "Jean-Luc_Bideau", "2458": "Jean-Marc_Olive", "2459": "Jean-Marc_de_La_Sabliere", "2460": "Jean-Patrick_Nazon", "2461": "Jean-Pierre_Bemba", "2462": "Jean-Pierre_Raffarin", "2463": "Jean-Rene_Fourtou", "2464": "Jean-Sebastien_Giguere", "2465": "Jean_Brumley", "2466": "Jean_Carnahan", "2467": "Jean_Charest", "2468": "Jean_Chretien", "2469": "Jean_Nagel", "2470": "Jean_Todt", "2471": "Jeane_Kirkpatrick", "2472": "Jeanette_Gray", "2473": "Jeanette_Stauffer", "2474": "Jeanne_Anne_Schroeder", "2475": "Jeanne_Moreau", "2476": "Jeannette_Biedermann", "2477": "Jeb_Bush", "2478": "Jeff_Bridges", "2479": "Jeff_Bzdelik", "2480": "Jeff_Dederian", "2481": "Jeff_Feldman", "2482": "Jeff_George", "2483": "Jeff_Hornacek", "2484": "Jeff_Roehm", "2485": "Jeff_Schiffner", "2486": "Jeff_Van_Gundy", "2487": "Jeff_Weaver", "2488": "Jefferson_Perez", "2489": "Jeffery_Hendren", "2490": "Jeffery_Strelzin", "2491": "Jeffrey_Archer", "2492": "Jeffrey_Ashby", "2493": "Jeffrey_Donaldson", "2494": "Jeffrey_Immelt", "2495": "Jeffrey_Jones", "2496": "Jeffrey_Katzenberg", "2497": "Jeffrey_Pfeffer", "2498": "Jeffrey_Scott_Postell", "2499": "Jelena_Dokic", "2500": "Jen_Bice", "2501": "Jen_Schefft", "2502": "Jenna_Elfman", "2503": "Jennette_Bradley", "2504": "Jennie_Finch", "2505": "Jennie_Garth", "2506": "Jennifer_Aniston", "2507": "Jennifer_Capriati", "2508": "Jennifer_Connelly", "2509": "Jennifer_Furminger", "2510": "Jennifer_Garner", "2511": "Jennifer_Granholm", "2512": "Jennifer_Gratz", "2513": "Jennifer_Keller", "2514": "Jennifer_Lopez", "2515": "Jennifer_Love_Hewitt", "2516": "Jennifer_McCoy", "2517": "Jennifer_Murray", "2518": "Jennifer_Pena", "2519": "Jennifer_Reilly", "2520": "Jennifer_Renee_Short", "2521": "Jennifer_Rodriguez", "2522": "Jennifer_Thompson", "2523": "Jennifer_Tilly", "2524": "Jenny_Romero", "2525": "Jens_Lehmann", "2526": "Jeong_Se-hyun", "2527": "Jerelle_Kraus", "2528": "Jeremy_Fogel", "2529": "Jeremy_Gompertz", "2530": "Jeremy_Greenstock", "2531": "Jeremy_Shockey", "2532": "Jeremy_Wotherspoon", "2533": "Jeri_Ryan", "2534": "Jerome_Golmard", "2535": "Jerome_Jenkins", "2536": "Jerry_Angelo", "2537": "Jerry_Bruckheimer", "2538": "Jerry_Colangelo", "2539": "Jerry_Falwell", "2540": "Jerry_Hall", "2541": "Jerry_Jones", "2542": "Jerry_Lewis", "2543": "Jerry_McEntee", "2544": "Jerry_Oliver", "2545": "Jerry_Pauley", "2546": "Jerry_Regier", "2547": "Jerry_Rice", "2548": "Jerry_Seinfeld", "2549": "Jerry_Sexton", "2550": "Jerry_Sloan", "2551": "Jerry_Springer", "2552": "Jerry_Tarkanian", "2553": "Jesper_Parnevik", "2554": "Jesse_Harris", "2555": "Jesse_Helms", "2556": "Jesse_Jackson", "2557": "Jesse_James", "2558": "Jesse_James_Leija", "2559": "Jesse_Ventura", "2560": "Jessica_Alba", "2561": "Jessica_Biel", "2562": "Jessica_Brungo", "2563": "Jessica_Capshaw", "2564": "Jessica_Lange", "2565": "Jessica_Lynch", "2566": "Jessica_Simpson", "2567": "Jesus_Cardenal", "2568": "Jewel_Howard-Taylor", "2569": "Jia_Qinglin", "2570": "Jiang_Zemin", "2571": "Jim_Abbott", "2572": "Jim_Ahern", "2573": "Jim_Anderson", "2574": "Jim_Beattie", "2575": "Jim_Bollman", "2576": "Jim_Bunning", "2577": "Jim_Calhoun", "2578": "Jim_Cantalupo", "2579": "Jim_Carrey", "2580": "Jim_Doyle", "2581": "Jim_Edmonds", "2582": "Jim_Fassel", "2583": "Jim_Flaherty", "2584": "Jim_Freudenberg", "2585": "Jim_Furyk", "2586": "Jim_Greenwood", "2587": "Jim_Hahn", "2588": "Jim_Hardin", "2589": "Jim_Harrick", "2590": "Jim_Haslett", "2591": "Jim_Hendry", "2592": "Jim_Jeffords", "2593": "Jim_Kelly", "2594": "Jim_Leach", "2595": "Jim_Letten", "2596": "Jim_Nochols", "2597": "Jim_OBrien", "2598": "Jim_Otto", "2599": "Jim_Parque", "2600": "Jim_Paxson", "2601": "Jim_Piper", "2602": "Jim_Ryan", "2603": "Jim_Schwarz", "2604": "Jim_Spinoza", "2605": "Jim_Sterk", "2606": "Jim_Talent", "2607": "Jim_Taylor", "2608": "Jim_Thome", "2609": "Jim_Tressel", "2610": "Jim_Wall", "2611": "Jim_Wessling", "2612": "Jim_Wong", "2613": "Jim_Zorn", "2614": "Jimmy_Carter", "2615": "Jimmy_Gobble", "2616": "Jimmy_Gurule", "2617": "Jimmy_Iovine", "2618": "Jimmy_Jimenez", "2619": "Jimmy_Kimmel", "2620": "Jimmy_Lee", "2621": "Jimmy_Smits", "2622": "Jimmy_Szymanski", "2623": "Jiri_Novak", "2624": "Jo_Dee_Messina", "2625": "Jo_Joong-hyon", "2626": "Joan_Claybrook", "2627": "Joan_Collins", "2628": "Joan_Dangerfield", "2629": "Joan_Jett", "2630": "Joan_Laporta", "2631": "Joanna_Poitier", "2632": "Joanne_Duquette", "2633": "Joanne_Woodward", "2634": "Joao_Rocha", "2635": "Joaquim_Levy", "2636": "Joaquim_Rodriguez", "2637": "Joaquin_Phoenix", "2638": "Joaquin_Sanchez", "2639": "Job_Cohen", "2640": "Jodie_Foster", "2641": "Jodie_Henry", "2642": "Jodie_Kidd", "2643": "Jody_Richards", "2644": "Joe_Calzaghe", "2645": "Joe_Carnahan", "2646": "Joe_Cocker", "2647": "Joe_Cravens", "2648": "Joe_Crede", "2649": "Joe_Darrell", "2650": "Joe_DeLamielleure", "2651": "Joe_Dicaro", "2652": "Joe_Dumars", "2653": "Joe_Finley", "2654": "Joe_Friedberg", "2655": "Joe_Garner", "2656": "Joe_Gatti", "2657": "Joe_Glover", "2658": "Joe_Leonard", "2659": "Joe_Lieberman", "2660": "Joe_Mantegna", "2661": "Joe_Mantello", "2662": "Joe_Mendes", "2663": "Joe_Metz", "2664": "Joe_Nichols", "2665": "Joe_Pantoliano", "2666": "Joe_Paterno", "2667": "Joe_Plumeri", "2668": "Joe_Strummer", "2669": "Joe_Torre", "2670": "Joe_Vandever", "2671": "Joel_Gallen", "2672": "Joel_Todd", "2673": "Joerg_Haider", "2674": "Joey_Buttafuoco", "2675": "Joey_Harrington", "2676": "Joey_Mantia", "2677": "Johan_Bruyneel", "2678": "Johannes_Rau", "2679": "John_Abizaid", "2680": "John_Allen_Muhammad", "2681": "John_Anderson", "2682": "John_Ashcroft", "2683": "John_Baldacci", "2684": "John_Banko", "2685": "John_Barnett", "2686": "John_Belushi", "2687": "John_Blaney", "2688": "John_Bolton", "2689": "John_Bond", "2690": "John_Brady", "2691": "John_Burkett", "2692": "John_Burnett", "2693": "John_Connolly", "2694": "John_Coomber", "2695": "John_Cornyn", "2696": "John_Cruz", "2697": "John_Cusack", "2698": "John_Dallager", "2699": "John_Daly_Jr", "2700": "John_Danforth", "2701": "John_Darby", "2702": "John_Duprey", "2703": "John_Eastman", "2704": "John_Eder", "2705": "John_Edwards", "2706": "John_Elway", "2707": "John_Engler", "2708": "John_F_Kennedy_Jr", "2709": "John_Fenn", "2710": "John_Ferguson", "2711": "John_Fox", "2712": "John_Franco", "2713": "John_Garamendi", "2714": "John_Geoghan", "2715": "John_Goold", "2716": "John_Gordnick", "2717": "John_Gruden", "2718": "John_Hartson", "2719": "John_Henry", "2720": "John_Herrington", "2721": "John_Howard", "2722": "John_Jones", "2723": "John_Jumper", "2724": "John_Kerr", "2725": "John_Kerry", "2726": "John_Lawrence", "2727": "John_Leguizamo", "2728": "John_Lennon", "2729": "John_Lisowski", "2730": "John_Lithgow", "2731": "John_Lynch", "2732": "John_Mabry", "2733": "John_Madden", "2734": "John_Malkovich", "2735": "John_Manley", "2736": "John_Marburger", "2737": "John_Mayer", "2738": "John_McCain", "2739": "John_McCallum", "2740": "John_McCormack", "2741": "John_McEnroe", "2742": "John_McKay", "2743": "John_Moe", "2744": "John_Moxley", "2745": "John_Nash", "2746": "John_Negroponte", "2747": "John_Nimmo", "2748": "John_Norquist", "2749": "John_Paul_DeJoria", "2750": "John_Paul_II", "2751": "John_Perrota", "2752": "John_Petty", "2753": "John_Philip_Elkann", "2754": "John_Prescott", "2755": "John_Reid", "2756": "John_Reilly", "2757": "John_Richardson", "2758": "John_Rigas", "2759": "John_Robbins", "2760": "John_Rosa", "2761": "John_Rowe", "2762": "John_Rowland", "2763": "John_Ruiz", "2764": "John_Rusnak", "2765": "John_Salazar", "2766": "John_Scarlett", "2767": "John_Sidgmore", "2768": "John_Snow", "2769": "John_Spencer", "2770": "John_Stallworth", "2771": "John_Starks", "2772": "John_Stockton", "2773": "John_Sununu", "2774": "John_Sweeney", "2775": "John_Swofford", "2776": "John_Taylor", "2777": "John_Thune", "2778": "John_Timoney", "2779": "John_Travolta", "2780": "John_Tyson", "2781": "John_Velazquez", "2782": "John_Walsh", "2783": "John_Warner", "2784": "John_Wayne", "2785": "John_White", "2786": "John_Williams", "2787": "John_Wolf", "2788": "John_Wright", "2789": "Johnnie_Lynn", "2790": "Johnny_Benson", "2791": "Johnny_Carson", "2792": "Johnny_Depp", "2793": "Johnny_Hallyday", "2794": "Johnny_Htu", "2795": "Johnny_Tapia", "2796": "Johnny_Unitas", "2797": "Johnson_Panjaitan", "2798": "Jolanta_Kwasniewski", "2799": "Jon_Constance", "2800": "Jon_Corzine", "2801": "Jon_Gruden", "2802": "Jon_Kitna", "2803": "Jon_Stewart", "2804": "Jon_Voight", "2805": "Jonathan_Arden", "2806": "Jonathan_Byrd", "2807": "Jonathan_Edwards", "2808": "Jonathan_Fine", "2809": "Jonathan_Horton", "2810": "Jonathan_Karsh", "2811": "Jonathan_Mostow", "2812": "Jonathan_Schroeder", "2813": "Jonathan_Tiomkin", "2814": "Jonathan_Woodgate", "2815": "Jong_Thae_Hwa", "2816": "Jong_Wook_Lee", "2817": "Jorge_Alberto_Galindo", "2818": "Jorge_Arce", "2819": "Jorge_Batlle", "2820": "Jorge_Castaneda", "2821": "Jorge_Enrique_Jimenez", "2822": "Jorge_Marquez-Ruarte", "2823": "Jorge_Moreno", "2824": "Jorge_Quiroga", "2825": "Jorge_Rodolfo_Canicoba_Corral", "2826": "Jorge_Valdano", "2827": "Jorma_Huhtala", "2828": "Joschka_Fischer", "2829": "Jose_Acasuso", "2830": "Jose_Alencar", "2831": "Jose_Bove", "2832": "Jose_Canseco", "2833": "Jose_Canseco_Sr", "2834": "Jose_Carlo_Fernandez", "2835": "Jose_Carreras", "2836": "Jose_Cevallos", "2837": "Jose_Dirceu", "2838": "Jose_Genoino", "2839": "Jose_Jose", "2840": "Jose_Lina", "2841": "Jose_Lopez_Beltran", "2842": "Jose_Luis_Chilavert", "2843": "Jose_Luis_Rodriguez_Zapatero", "2844": "Jose_Luis_Santiago_Vasconcelos", "2845": "Jose_Manuel_Durao_Barroso", "2846": "Jose_Maria_Aznar", "2847": "Jose_Miguel_Aleman", "2848": "Jose_Mourinho", "2849": "Jose_Rosado", "2850": "Jose_Santos", "2851": "Jose_Sarney", "2852": "Jose_Serra", "2853": "Jose_Theodore", "2854": "Jose_Vicente_Rangel", "2855": "Jose_Viegas_Filho", "2856": "Jose_Woldenberg", "2857": "Joseph_Biden", "2858": "Joseph_Blatter", "2859": "Joseph_Deiss", "2860": "Joseph_Estrada", "2861": "Joseph_Fiennes", "2862": "Joseph_Galante", "2863": "Joseph_Ganim", "2864": "Joseph_Hoy", "2865": "Joseph_Kabila", "2866": "Joseph_LePore", "2867": "Joseph_Lopez", "2868": "Joseph_Nacchio", "2869": "Joseph_Ralston", "2870": "Joseph_Safra", "2871": "Joseph_Salgado", "2872": "Josh_Childress", "2873": "Josh_Evans", "2874": "Josh_Kronfeld", "2875": "Joshua_Davey", "2876": "Joshua_Gracin", "2877": "Joshua_Harapko", "2878": "Joshua_Perper", "2879": "Joxel_Garcia", "2880": "Joy_Bryant", "2881": "Joy_Lee_Sadler", "2882": "Juan_Antonio_Samaranch", "2883": "Juan_Carlos", "2884": "Juan_Carlos_Ferrero", "2885": "Juan_Carlos_Morales", "2886": "Juan_Carlos_Ortega", "2887": "Juan_Fernandez", "2888": "Juan_Francisco_Palencia", "2889": "Juan_Ignacio_Chela", "2890": "Juan_Jose_Lucas", "2891": "Juan_Manuel_Marquez", "2892": "Juan_Pablo_Montoya", "2893": "Juan_Roman_Carrasco", "2894": "Juan_Roman_Riquelme", "2895": "Juan_Sanchez", "2896": "Juan_Valencia_Osorio", "2897": "Juanes", "2898": "Judd_Davies", "2899": "Jude_Law", "2900": "Judi_Dench", "2901": "Judi_Patton", "2902": "Judith_Nathan", "2903": "Judy_Dean", "2904": "Judy_Genshaft", "2905": "Judy_Locy", "2906": "Judy_Spreckels", "2907": "Judy_Vassar", "2908": "Juergen_Braehmer", "2909": "Juergen_Chrobog", "2910": "Juergen_Peters", "2911": "Juergen_Schrempp", "2912": "Juergen_Trittin", "2913": "Jules_Asner", "2914": "Julia_Glass", "2915": "Julia_Ormond", "2916": "Julia_Tymoshenko", "2917": "Julian_Battle", "2918": "Julian_Fantino", "2919": "Julianna_Margulies", "2920": "Julianne_Moore", "2921": "Julie_Andrews", "2922": "Julie_Gerberding", "2923": "Julie_Goodenough", "2924": "Julie_Infante", "2925": "Julie_Taymor", "2926": "Julien_Boutter", "2927": "Julien_Varlet", "2928": "Juliette_Binoche", "2929": "Juliette_Lewis", "2930": "Julio_Cesar_Chavez", "2931": "Julio_Cesar_Franco", "2932": "Julio_De_Brun", "2933": "Julio_Iglesias_Jr", "2934": "Julio_Rossi", "2935": "Julio_Toro", "2936": "Julius_Barnes", "2937": "Julius_Erving", "2938": "Juljia_Vysotskij", "2939": "Jung_Bong", "2940": "Junichi_Inamoto", "2941": "Junichiro_Koizumi", "2942": "Junko_Tabei", "2943": "Justin_Gatlin", "2944": "Justin_Guarini", "2945": "Justin_Leonard", "2946": "Justin_Marshall", "2947": "Justin_Timberlake", "2948": "Justin_Wilson", "2949": "Justine_Henin", "2950": "Justine_Pasek", "2951": "Kai-Uwe_Ricke", "2952": "Kaio_Almeida", "2953": "Kaisser_Bazan", "2954": "Kajsa_Bergqvist", "2955": "Kalid_Kaid", "2956": "Kalpana_Chawla", "2957": "Kamal_Kharrazi", "2958": "Kamel_Morjane", "2959": "Kang_Gum-sil", "2960": "Kaoru_Hasuike", "2961": "Kara_Lynn_Joyce", "2962": "Kareena_Kapoor", "2963": "Karen_Allen", "2964": "Karen_Clarkson", "2965": "Karen_Lynn_Gorney", "2966": "Karen_Mok", "2967": "Karen_Pereiras", "2968": "Karen_Sharpe_Kramer", "2969": "Karin_Pilsaeter", "2970": "Karin_Stoiber", "2971": "Karin_Viard", "2972": "Karl-Heinz_Rummenigge", "2973": "Karol_Kucera", "2974": "Kaspar_Villiger", "2975": "Katalin_Kollat", "2976": "Kate_Burton", "2977": "Kate_Capshaw", "2978": "Kate_Hudson", "2979": "Kate_Lee", "2980": "Kate_Moss", "2981": "Kate_Richardson", "2982": "Kate_Starbird", "2983": "Kate_Winslet", "2984": "Katerina_Smrzova", "2985": "Katharine_Hepburn", "2986": "Katherine_Harris", "2987": "Kathie_Louise_Saunders", "2988": "Kathleen_Abernathy", "2989": "Kathleen_Glynn", "2990": "Kathleen_Kennedy_Townsend", "2991": "Kathryn_Bigelow", "2992": "Kathryn_Grayson", "2993": "Kathryn_Morris", "2994": "Kathryn_Tucker", "2995": "Kathy_Baker", "2996": "Kathy_Bates", "2997": "Kathy_Gannon", "2998": "Kathy_Winters", "2999": "Katie_Boone", "3000": "Katie_Couric", "3001": "Katie_Harman", "3002": "Katie_Holmes", "3003": "Katie_Smith", "3004": "Katie_Wagner", "3005": "Katja_Riemann", "3006": "Katrin_Cartlidge", "3007": "Katrin_Susi", "3008": "Kay_Bailey_Hutchison", "3009": "Kay_Behrensmeyer", "3010": "Kaye_Young", "3011": "Keanu_Reeves", "3012": "Keiko_Sofia_Fujimori", "3013": "Keira_Knightley", "3014": "Keith_Bishop_Jr", "3015": "Keith_Bogans", "3016": "Keith_Brown", "3017": "Keith_Fotta", "3018": "Keith_Foulke", "3019": "Keith_Lockhart", "3020": "Keith_Lowen", "3021": "Keith_Olbermann", "3022": "Keith_Osik", "3023": "Keith_Rodriguez", "3024": "Keith_Snyder", "3025": "Keith_Tyson", "3026": "Keith_Urban", "3027": "Keith_Van_Horn", "3028": "Keizo_Yamada", "3029": "Kelli_White", "3030": "Kellie_Coffey", "3031": "Kellie_Greene", "3032": "Kelly_Clarkson", "3033": "Kelly_Leigh", "3034": "Kelly_Osbourne", "3035": "Kelly_Ripa", "3036": "Kelly_Santos", "3037": "Kelsey_Grammer", "3038": "Kelvin_Sampson", "3039": "Kemal_Dervis", "3040": "Ken_Balk", "3041": "Ken_Dorsey", "3042": "Ken_Kutaragi", "3043": "Ken_Loach", "3044": "Ken_Macha", "3045": "Ken_Watanabe", "3046": "Ken_Wharfe", "3047": "Kenenisa_Bekele", "3048": "Kenneth_Bowersox", "3049": "Kenneth_Branagh", "3050": "Kenneth_Brill", "3051": "Kenneth_Carlsen", "3052": "Kenneth_Cooper", "3053": "Kenneth_Dam", "3054": "Kenneth_Evans", "3055": "Kenneth_Reichert", "3056": "Kenny_Brack", "3057": "Kenny_Chesney", "3058": "Kent_McCord", "3059": "Kent_Robinson", "3060": "Kent_Rominger", "3061": "Kevin_Borseth", "3062": "Kevin_Costner", "3063": "Kevin_Crane", "3064": "Kevin_Garnett", "3065": "Kevin_Gil", "3066": "Kevin_Harvick", "3067": "Kevin_Hearn", "3068": "Kevin_James", "3069": "Kevin_Keegan", "3070": "Kevin_Marshall", "3071": "Kevin_Millwood", "3072": "Kevin_Nealon", "3073": "Kevin_Satterfield", "3074": "Kevin_Sorbo", "3075": "Kevin_Spacey", "3076": "Kevin_Stallings", "3077": "Kevin_Tarrant", "3078": "Khader_Rashid_Rahim", "3079": "Khaled_Sawalhi", "3080": "Khalid_Khannouchi", "3081": "Khalid_Qazi", "3082": "Khatol_Mohammad_Zai", "3083": "Khin_Nyunt", "3084": "Khum_Bahadur_Khadka", "3085": "Kieran_Culkin", "3086": "Kieran_Prendergast", "3087": "Kifah_Ajouri", "3088": "Kiki_Vandeweghe", "3089": "Kim_Cattrall", "3090": "Kim_Chinn", "3091": "Kim_Clijsters", "3092": "Kim_Dae-jung", "3093": "Kim_Dong-hwa", "3094": "Kim_Dong-tae", "3095": "Kim_Gandy", "3096": "Kim_Hong-gul", "3097": "Kim_Hong-up", "3098": "Kim_Jin-sun", "3099": "Kim_Jong-Il", "3100": "Kim_Ryong-sung", "3101": "Kim_Su_Nam", "3102": "Kim_Weeks", "3103": "Kim_Yong-il", "3104": "Kim_Yun-kyu", "3105": "Kimberly_Bruckner", "3106": "Kimberly_Stewart", "3107": "Kimi_Raikkonen", "3108": "Kimora_Lee", "3109": "King_Abdullah_II", "3110": "King_Bhumibol_Adulyadej", "3111": "King_Gyanendra", "3112": "Kirby_Puckett", "3113": "Kirk_Doerger", "3114": "Kirk_Douglas", "3115": "Kirk_Ferentz", "3116": "Kirk_Franklin", "3117": "Kirk_Johnson", "3118": "Kirsten_Clark", "3119": "Kirsten_Dunst", "3120": "Kirsten_Gilham", "3121": "Kit_Bond", "3122": "Kitin_Munoz", "3123": "Kjell_Magne_Bondevik", "3124": "Klaus_Schwab", "3125": "Klaus_Zwickel", "3126": "Kobe_Bryant", "3127": "Kofi_Annan", "3128": "Koichi_Haraguchi", "3129": "Koichi_Tanaka", "3130": "Koichiro_Matsuura", "3131": "Koji_Uehara", "3132": "Kong_Quan", "3133": "Kostya_Tszyu", "3134": "Kosuke_Kitajima", "3135": "Krishna_Bhadur_Mahara", "3136": "Kristanna_Loken", "3137": "Kristen_Breitweiser", "3138": "Kristen_Rivera", "3139": "Kristin_Chenoweth", "3140": "Kristin_Davis", "3141": "Kristin_Scott", "3142": "Kristin_Scott_Thomas", "3143": "Kristy_Curry", "3144": "Kultida_Woods", "3145": "Kurt_Budke", "3146": "Kurt_Busch", "3147": "Kurt_Hellstrom", "3148": "Kurt_Russell", "3149": "Kurt_Schottenheimer", "3150": "Kurt_Suzuki", "3151": "Kurt_Tanabe", "3152": "Kurt_Thomas", "3153": "Kurt_Warner", "3154": "Kwame_Kilpatrick", "3155": "Kweisi_Mfume", "3156": "Kwon_Yang-sook", "3157": "Kwon_Young-gil", "3158": "Kyle_McLaren", "3159": "Kyle_Shewfelt", "3160": "Kyoko_Nakayama", "3161": "Kyra_Sedgwick", "3162": "LK_Advani", "3163": "Lachlan_Murdoch", "3164": "Laila_Ali", "3165": "Lana_Clarkson", "3166": "Lance_Armstrong", "3167": "Lance_Bass", "3168": "Landon_Donovan", "3169": "Lane_Bryant", "3170": "Lane_Odom", "3171": "Lara_Logan", "3172": "Larenz_Tate", "3173": "Larry_Anderson", "3174": "Larry_Beinfest", "3175": "Larry_Bowa", "3176": "Larry_Brown", "3177": "Larry_Campbell", "3178": "Larry_Coker", "3179": "Larry_Donald", "3180": "Larry_Ellison", "3181": "Larry_Eustachy", "3182": "Larry_Flynt", "3183": "Larry_Greene", "3184": "Larry_Hagman", "3185": "Larry_Hahn", "3186": "Larry_Harris", "3187": "Larry_Johnson", "3188": "Larry_Lindsey", "3189": "Larry_Lucchino", "3190": "Larry_Nichols", "3191": "Larry_Pleau", "3192": "Larry_Ralston", "3193": "Larry_Tanenbaum", "3194": "Larry_Templeton", "3195": "Larry_Thompson", "3196": "Larry_Wilmore", "3197": "Lars_Burgsmuller", "3198": "Lars_Von_Trier", "3199": "Laszlo_Kovacs", "3200": "Latrell_Sprewell", "3201": "Laura_Bozzo", "3202": "Laura_Bush", "3203": "Laura_Elena_Harring", "3204": "Laura_Flessel", "3205": "Laura_Gobai", "3206": "Laura_Hernandez", "3207": "Laura_Linney", "3208": "Laura_Marlow", "3209": "Laura_Morante", "3210": "Laura_Pausini", "3211": "Laura_Romero", "3212": "Laura_Schlessinger", "3213": "Laura_Ziskin", "3214": "Laurel_Clark", "3215": "Lauren_Hutton", "3216": "Lauren_Killian", "3217": "Laurence_Fishburne", "3218": "Laurence_Tribe", "3219": "Laurent_Gbagbo", "3220": "Laurent_Jalabert", "3221": "Laurent_Woulzy", "3222": "Laurie_Chan", "3223": "Laurie_Hobbs", "3224": "Laurie_Laychak", "3225": "Laurie_Pirtle", "3226": "Lawrence_Di_Rita", "3227": "Lawrence_Foley", "3228": "Lawrence_MacAulay", "3229": "Lawrence_Roberts", "3230": "Lawrence_Vito", "3231": "Lazaro_Castro", "3232": "LeAnn_Rimes", "3233": "LeBron_James", "3234": "LeRoy_Millette_Jr", "3235": "Lea_Fastow", "3236": "Leah_Remini", "3237": "Leander_Paes", "3238": "Leandrinho_Barbosa", "3239": "Leandro_Andrade", "3240": "Leandro_Garcia", "3241": "Lech_Walesa", "3242": "Lee_Ann_Knight", "3243": "Lee_Ann_Terlaji", "3244": "Lee_Ann_Womack", "3245": "Lee_Baca", "3246": "Lee_Byung-woong", "3247": "Lee_Chang-dong", "3248": "Lee_Hoi-chang", "3249": "Lee_Hong-ki", "3250": "Lee_Hyung-taik", "3251": "Lee_Jun", "3252": "Lee_Nam-shin", "3253": "Lee_Soo-hyuck", "3254": "Lee_Tae-sik", "3255": "Lee_Yeo-jin", "3256": "Lee_Yuan-tseh", "3257": "Leigh_Winchell", "3258": "Leisel_Jones", "3259": "Lela_Rochon", "3260": "Leland_Chapman", "3261": "Lemuel_Montulo", "3262": "Len_Jenoff", "3263": "Lena_Katina", "3264": "Lena_Olin", "3265": "Lene_Espersen", "3266": "Leni_Bjorklund", "3267": "Lennart_Johansson", "3268": "Lennox_Lewis", "3269": "Lenny_Kravitz", "3270": "Lenny_Wilkens", "3271": "Leo_Mullin", "3272": "Leo_Ramirez", "3273": "Leon_Barmore", "3274": "Leon_LaPorte", "3275": "Leon_Lai", "3276": "Leon_Silver", "3277": "Leonard_Glick", "3278": "Leonard_Hamilton", "3279": "Leonard_Schrank", "3280": "Leonardo_Del_Vecchio", "3281": "Leonardo_DiCaprio", "3282": "Leonardo_Fernandez", "3283": "Leonid_Kuchma", "3284": "Lesia_Burlak", "3285": "Lesley_Coppin", "3286": "Lesley_Flood", "3287": "Lesley_McCulloch", "3288": "Leslie_Ann_Woodward", "3289": "Leslie_Caldwell", "3290": "Leslie_Moonves", "3291": "Leslie_Wiser_Jr", "3292": "Lester_Holt", "3293": "Leszek_Miller", "3294": "Leticia_Dolera", "3295": "Leticia_Van_de_Putte", "3296": "Leuris_Pupo", "3297": "Lew_Rywin", "3298": "Lewis_Booth", "3299": "Li_Changchun", "3300": "Li_Ka-shing", "3301": "Li_Peng", "3302": "Li_Ruihuan", "3303": "Li_Zhaoxing", "3304": "Liam_Neeson", "3305": "Liane_Janda", "3306": "Lidija_Djukanovic", "3307": "Lili_Marinho", "3308": "Lili_Taylor", "3309": "Liliana_Cavani", "3310": "Lily_Safra", "3311": "Lily_Tomlin", "3312": "Lim_Dong-won", "3313": "Lima_Azimi", "3314": "Lin_Yi-fu", "3315": "Lin_Yung_Hsi", "3316": "Lina_Krasnoroutskaya", "3317": "Lincoln_Chafee", "3318": "Linda_Amicangioli", "3319": "Linda_Baboolal", "3320": "Linda_Dano", "3321": "Linda_Franklin", "3322": "Linda_Ham", "3323": "Linda_Lingle", "3324": "Linda_Mason", "3325": "Linda_Sanchez", "3326": "Lindsay_Benko", "3327": "Lindsay_Davenport", "3328": "Lindsay_Lohan", "3329": "Lindsey_Graham", "3330": "Lindy_Ruff", "3331": "Linn_Thornton", "3332": "Lino_Oviedo", "3333": "Linus_Roache", "3334": "Lionel_Chalmers", "3335": "Lionel_Hampton", "3336": "Lionel_Richie", "3337": "Lisa_Girman", "3338": "Lisa_Gottsegen", "3339": "Lisa_Leslie", "3340": "Lisa_Ling", "3341": "Lisa_Marie_Presley", "3342": "Lisa_Murkowski", "3343": "Lisa_Raymond", "3344": "Lisa_Stansfield", "3345": "Lisa_Stone", "3346": "Liu_Mingkang", "3347": "Liu_Xiaoqing", "3348": "Liu_Ye", "3349": "Liv_Tyler", "3350": "Liza_Minnelli", "3351": "Lleyton_Hewitt", "3352": "Lloyd_Mudiwa", "3353": "Lloyd_Novick", "3354": "Lloyd_Richards", "3355": "Lloyd_Ward", "3356": "Lois_Smart", "3357": "Lokendra_Bahadur_Chand", "3358": "Lon_Kruger", "3359": "Lonnie_Donegan", "3360": "Lope_Mendoza", "3361": "Lord_Hutton", "3362": "Loretta_Lynn_Harper", "3363": "Lori_Berenson", "3364": "Lorne_Michaels", "3365": "Lorraine_Bracco", "3366": "Lorraine_Fenton", "3367": "Lou_Lang", "3368": "Lou_Piniella", "3369": "Lou_Reed", "3370": "Lou_Ye", "3371": "Louis_Van_Gaal", "3372": "Louisa_Baileche", "3373": "Lubomir_Zaoralek", "3374": "Luc_Montagnier", "3375": "Luca_Cordero_di_Montezemolo", "3376": "Lucas_Wysocki", "3377": "Lucia_Kenny_Anthony", "3378": "Luciano_Bovicelli", "3379": "Luciano_Pavarotti", "3380": "Lucie_Lapovsky", "3381": "Lucio_Angulo", "3382": "Lucio_Cecchinello", "3383": "Lucio_Gutierrez", "3384": "Lucio_Stanca", "3385": "Lucrecia_Orozco", "3386": "Lucy_Liu", "3387": "Ludivine_Sagnier", "3388": "Ludwig_Ovalle", "3389": "Luis_Berrondo", "3390": "Luis_Ernesto_Derbez_Bautista", "3391": "Luis_Figo", "3392": "Luis_Fonsi", "3393": "Luis_Gonzalez", "3394": "Luis_Gonzalez_Macchi", "3395": "Luis_Guzman", "3396": "Luis_Horna", "3397": "Luis_Pujols", "3398": "Luis_Rosario_Huertas", "3399": "Luis_Sanchez", "3400": "Luiz_Felipe_Scolari", "3401": "Luiz_Inacio_Lula_da_Silva", "3402": "Luke_Ridnour", "3403": "Luke_Smith", "3404": "Luke_Walton", "3405": "Luo_Linquan", "3406": "Luther_Htu", "3407": "Lutz_Freitag", "3408": "Lydia_Shum", "3409": "Lyle_Lovett", "3410": "Lyle_Vanclief", "3411": "Lynn_Abraham", "3412": "Lynn_Redgrave", "3413": "Lynne_Cheney", "3414": "Lynne_Slepian", "3415": "Lynne_Thigpen", "3416": "Lyudmila_Putin", "3417": "MC_Hammer", "3418": "Mack_Brown", "3419": "Madeleine_Albright", "3420": "Madeleine_Webber", "3421": "Madge_Overhouse", "3422": "Madonna", "3423": "Mae_Jemison", "3424": "Magda_Kertasz", "3425": "Magdalena_Maleeva", "3426": "Maggie_Cheung", "3427": "Maggie_Smith", "3428": "Magui_Serna", "3429": "Maha_Habib", "3430": "Mahathir_Mohamad", "3431": "Mahdi_Al_Bassam", "3432": "Mahendra_Chaudhry", "3433": "Mahima_Chaudhari", "3434": "Mahmoud_Abbas", "3435": "Mahmoud_Al_Zhar", "3436": "Mahmoud_Diyab_al-Ahmed", "3437": "Makhdoom_Amin_Fahim", "3438": "Makiko_Tanaka", "3439": "Makiya_Ali_Hassan", "3440": "Malak_Habbak", "3441": "Malcolm_Glazer", "3442": "Malcolm_Jamal_Warner", "3443": "Malcolm_Wild", "3444": "Malik_Mahmud", "3445": "Mamdouh_Habib", "3446": "Manfred_Reyes_Villa", "3447": "Manfred_Stolpe", "3448": "Manijeh_Hekmat", "3449": "Manuel_Gehring", "3450": "Manuel_Jesus", "3451": "Manuel_Llorente", "3452": "Manuel_Pellegrini", "3453": "Manuel_Poggiali", "3454": "Manuel_Rosendo", "3455": "Manuela_Montebrun", "3456": "Mara_Georges", "3457": "Marat_Safin", "3458": "Marc-Andre_Fleury", "3459": "Marc_Anthony", "3460": "Marc_Bulger", "3461": "Marc_Gold", "3462": "Marc_Grossman", "3463": "Marc_Leger", "3464": "Marc_Racicot", "3465": "Marc_Shaiman", "3466": "Marcella_Anderson", "3467": "Marcelo_Bielsa", "3468": "Marcelo_Ebrard", "3469": "Marcelo_Rios", "3470": "Marcelo_Salas", "3471": "Marcio_de_Souza", "3472": "Marco_Antonio_Barrera", "3473": "Marco_Archer_Cardoso_Moreira", "3474": "Marco_Irizarry", "3475": "Marco_Pantani", "3476": "Marcos_Cafu", "3477": "Marcos_Daniel_Jimenez", "3478": "Marcos_Milinkovic", "3479": "Marcus_Allen", "3480": "Marcus_Garrettson", "3481": "Marcus_Gronholm", "3482": "Margaret_Caruso", "3483": "Margaret_Hasley", "3484": "Margaret_Hoelzer", "3485": "Margaret_Okayo", "3486": "Margaret_Thatcher", "3487": "Margerry_Bakley", "3488": "Margie_Puente", "3489": "Maria_Bello", "3490": "Maria_Burks", "3491": "Maria_Callas", "3492": "Maria_Conchita_Alonso", "3493": "Maria_Garcia", "3494": "Maria_Guida", "3495": "Maria_Luisa_Mendonca", "3496": "Maria_Sanchez_Lorenzo", "3497": "Maria_Shkolnikova", "3498": "Maria_Shriver", "3499": "Maria_Simon", "3500": "Maria_Soledad_Alvear_Valenzuela", "3501": "Maria_Wetterstrand", "3502": "Mariah_Carey", "3503": "Mariam_Ali_Hassan", "3504": "Marian_Dolan", "3505": "Mariana_Gonzalez", "3506": "Mariana_Ohata", "3507": "Mariana_Pollack", "3508": "Mariangel_Ruiz_Torrealba", "3509": "Marianne_Stanley", "3510": "Mariano_Zabaleta", "3511": "Maribel_Dominguez", "3512": "Marie-Josee_Croze", "3513": "Marie-Reine_Le_Gougne", "3514": "Marie_Haghal", "3515": "Marieta_Chrousala", "3516": "Marilyn_Monroe", "3517": "Marina_Anissina", "3518": "Marina_Canetti", "3519": "Marina_Hands", "3520": "Marina_Kuptsova", "3521": "Marina_Silva", "3522": "Mario_Alfaro-Lopez", "3523": "Mario_Austin", "3524": "Mario_Cipollini", "3525": "Mario_Dominguez", "3526": "Mario_Dumont", "3527": "Mario_Gallegos", "3528": "Mario_Jardel", "3529": "Mario_Kreutzberger", "3530": "Mario_Lemieux", "3531": "Mario_Lobo_Zagallo", "3532": "Mario_Puzo", "3533": "Mario_Vasquez_Rana", "3534": "Marion_Barry", "3535": "Marion_Fahnestock", "3536": "Marisa_Tomei", "3537": "Marisol_Breton", "3538": "Marisol_Martinez_Sambran", "3539": "Marissa_Jaret_Winokur", "3540": "Maritza_Macias_Furano", "3541": "Mark_Andrew", "3542": "Mark_Bellhorn", "3543": "Mark_Broxmeyer", "3544": "Mark_Butcher", "3545": "Mark_Cuban", "3546": "Mark_Dacey", "3547": "Mark_Everson", "3548": "Mark_Foley", "3549": "Mark_Gangloff", "3550": "Mark_Geragos", "3551": "Mark_Gottfried", "3552": "Mark_Hamister", "3553": "Mark_Hanson", "3554": "Mark_Heller", "3555": "Mark_Hogan", "3556": "Mark_Hurlbert", "3557": "Mark_Kelly", "3558": "Mark_Komara", "3559": "Mark_Lazarus", "3560": "Mark_Leno", "3561": "Mark_Mariscal", "3562": "Mark_Martin", "3563": "Mark_McClellan", "3564": "Mark_Mishkin", "3565": "Mark_Mulder", "3566": "Mark_Philippoussis", "3567": "Mark_Podlesny", "3568": "Mark_Polansky", "3569": "Mark_Redman", "3570": "Mark_Richt", "3571": "Mark_Rosenbaum", "3572": "Mark_Sacco", "3573": "Mark_Salter", "3574": "Mark_Schweiker", "3575": "Mark_Shapiro", "3576": "Mark_Sisk", "3577": "Mark_Stuart", "3578": "Mark_Swartz", "3579": "Mark_Wahlberg", "3580": "Mark_Warner", "3581": "Markus_Beyer", "3582": "Markus_Naslund", "3583": "Marlene_Weingartner", "3584": "Marlon_Devonish", "3585": "Marquier_Montano_Contreras", "3586": "Marquis_Estill", "3587": "Marricia_Tate", "3588": "Marsah_Ambrosius", "3589": "Marsha_Sharp", "3590": "Marsha_Thomason", "3591": "Marta_Dominguz", "3592": "Martha_Beatriz_Roque", "3593": "Martha_Bowen", "3594": "Martha_Burk", "3595": "Martha_Lucia_Ramirez", "3596": "Martha_Martinez_Flores", "3597": "Martha_Sahagun_de_Fox", "3598": "Martha_Smith", "3599": "Martha_Stewart", "3600": "Martie_Maguire", "3601": "Martin_Bandier", "3602": "Martin_Boryczewski", "3603": "Martin_Brodeur", "3604": "Martin_Brooke", "3605": "Martin_Burnham", "3606": "Martin_Cauchon", "3607": "Martin_Frost", "3608": "Martin_Gecht", "3609": "Martin_Hoellwarth", "3610": "Martin_Howard", "3611": "Martin_Keown", "3612": "Martin_Kristof", "3613": "Martin_Landau", "3614": "Martin_Lawrence", "3615": "Martin_Luther_King_III", "3616": "Martin_McCauley", "3617": "Martin_McGuinness", "3618": "Martin_ONeill", "3619": "Martin_Rodriguez", "3620": "Martin_Scorsese", "3621": "Martin_Sheen", "3622": "Martin_Short", "3623": "Martin_Torrijos", "3624": "Martin_Verkerk", "3625": "Martina_Hingis", "3626": "Martina_McBride", "3627": "Marty_Mornhinweg", "3628": "Marvan_Atapattu", "3629": "Marwan_Barghouthi", "3630": "Marwan_Muasher", "3631": "Mary-Kate_Olsen", "3632": "Mary_Anne_Souza", "3633": "Mary_Blige", "3634": "Mary_Bono", "3635": "Mary_Carey", "3636": "Mary_Catherine_Correll", "3637": "Mary_Descenza", "3638": "Mary_Elizabeth_Mastrantonio", "3639": "Mary_Frances_Seiter", "3640": "Mary_Hill", "3641": "Mary_Jo_Myers", "3642": "Mary_Katherine_Smart", "3643": "Mary_Landrieu", "3644": "Mary_Lou_Markakis", "3645": "Mary_Lou_Retton", "3646": "Mary_Maddux", "3647": "Mary_Matalin", "3648": "Mary_McCarty", "3649": "Mary_Robinson", "3650": "Mary_Steenburgen", "3651": "Mary_Sue_Coleman", "3652": "Mary_Tyler_Moore", "3653": "Mary_Zorn", "3654": "Maryn_McKenna", "3655": "Masahiko_Nagasawa", "3656": "Masamori_Tokuyama", "3657": "Masao_Azuma", "3658": "Masaru_Hayami", "3659": "Masatoshi_Koshiba", "3660": "Masja_Juel", "3661": "Massoud_Barzani", "3662": "Masum_Turker", "3663": "Mathias_Reichhold", "3664": "Mathilda_Karel_Spak", "3665": "Matt_Anderson", "3666": "Matt_Braker", "3667": "Matt_Damon", "3668": "Matt_Dillon", "3669": "Matt_Doherty", "3670": "Matt_Herden", "3671": "Matt_LeBlanc", "3672": "Matt_Morris", "3673": "Matt_Roney", "3674": "Matt_Siebrandt", "3675": "Matt_Walters", "3676": "Matt_Welsh", "3677": "Matthew_Broderick", "3678": "Matthew_During", "3679": "Matthew_McConaughey", "3680": "Matthew_Ouimet", "3681": "Matthew_Perry", "3682": "Matthew_Vaughan", "3683": "Matthias_Sammer", "3684": "Maura_Tierney", "3685": "Maureen_Fanning", "3686": "Maureen_Kanka", "3687": "Maurice_Cheeks", "3688": "Maurice_Papon", "3689": "Maurice_Strong", "3690": "Mauricio_Macri", "3691": "Mauricio_Pochetino", "3692": "Mauro_Viza", "3693": "Max_Baucus", "3694": "Max_Biaggi", "3695": "Max_Mayfield", "3696": "Max_Mosley", "3697": "Max_von_Sydow", "3698": "Maxim_Afinogenov", "3699": "Mayumi_Moriyama", "3700": "McGuire_Gibson", "3701": "Meg_Mallon", "3702": "Meg_Wakeman", "3703": "Megan_Mullally", "3704": "Megawati_Sukarnoputri", "3705": "Meghann_Shaughnessy", "3706": "Mehdi_Baala", "3707": "Mehmet_Ali_Sahin", "3708": "Mehmet_Okur", "3709": "Meirion_Evans", "3710": "Mekhi_Phifer", "3711": "Mel_Brooks", "3712": "Mel_Gibson", "3713": "Mel_Karmazin", "3714": "Melana_Scantlin", "3715": "Melanie_Griffith", "3716": "Melchor_Cob_Castro", "3717": "Meles_Zenawi", "3718": "Melina_Kanakaredes", "3719": "Melinda_Czink", "3720": "Melissa_Etheridge", "3721": "Melissa_Gilbert", "3722": "Melissa_Joan_Hart", "3723": "Melissa_Manchester", "3724": "Melissa_Mulloy", "3725": "Melissa_Stark", "3726": "Melvin_Talbert", "3727": "Mercedes_Amor", "3728": "Meryl_Streep", "3729": "Mesut_Yilmaz", "3730": "Mia_Mottley", "3731": "Mian_Khursheed_Mehmood_Kasuri", "3732": "Micah_Knorr", "3733": "Michael_Adams", "3734": "Michael_Andretti", "3735": "Michael_Arif", "3736": "Michael_Ballack", "3737": "Michael_Bloomberg", "3738": "Michael_Bolton", "3739": "Michael_Bouchard", "3740": "Michael_Boyce", "3741": "Michael_Brandon", "3742": "Michael_Broad", "3743": "Michael_Caine", "3744": "Michael_Capellas", "3745": "Michael_Chang", "3746": "Michael_Chertoff", "3747": "Michael_Chiklis", "3748": "Michael_Clarke_Duncan", "3749": "Michael_DeMinico", "3750": "Michael_Dell", "3751": "Michael_Denzel", "3752": "Michael_Deutsch", "3753": "Michael_Diekmann", "3754": "Michael_Doleac", "3755": "Michael_Donovan", "3756": "Michael_Douglas", "3757": "Michael_Fitzgerald", "3758": "Michael_Frayn", "3759": "Michael_Friedman", "3760": "Michael_Goldrich", "3761": "Michael_Guiler", "3762": "Michael_Hagee", "3763": "Michael_Haneke", "3764": "Michael_Hoffa", "3765": "Michael_J_Fox", "3766": "Michael_J_Sheehan", "3767": "Michael_Jackson", "3768": "Michael_Jasny", "3769": "Michael_Jordan", "3770": "Michael_Kahn", "3771": "Michael_Keaton", "3772": "Michael_Killeen", "3773": "Michael_Kirby", "3774": "Michael_Kors", "3775": "Michael_Kostelnik", "3776": "Michael_Leavitt", "3777": "Michael_Lechner", "3778": "Michael_Linscott", "3779": "Michael_Lopez-Alegria", "3780": "Michael_McNeely", "3781": "Michael_Michele", "3782": "Michael_Milton", "3783": "Michael_Moore", "3784": "Michael_Munoz", "3785": "Michael_Olowokandi", "3786": "Michael_Patrick_King", "3787": "Michael_Peat", "3788": "Michael_Pfleger", "3789": "Michael_Phelps", "3790": "Michael_Piuze", "3791": "Michael_Powell", "3792": "Michael_Richards", "3793": "Michael_Rolinee", "3794": "Michael_Schumacher", "3795": "Michael_Shane_Jolly", "3796": "Michael_Sheehan", "3797": "Michael_Shelby", "3798": "Michael_Smith_Foster", "3799": "Michael_Stark", "3800": "Michael_Sullivan", "3801": "Michael_Taylor", "3802": "Michael_Wayne", "3803": "Michael_Weiss", "3804": "Michael_Winterbottom", "3805": "Michalis_Chrisohoides", "3806": "Micheal_Jourdain_Jr", "3807": "Michel_Charles_Chretien", "3808": "Michel_Duclos", "3809": "Michel_Kratochvil", "3810": "Michel_Minard", "3811": "Michel_Temer", "3812": "Michel_Therrien", "3813": "Michelangelo_Antonioni", "3814": "Michele_Placido", "3815": "Michelle_Bachelet", "3816": "Michelle_Branch", "3817": "Michelle_Chiklis", "3818": "Michelle_Collins", "3819": "Michelle_Hofland", "3820": "Michelle_Kwan", "3821": "Michelle_Lecky", "3822": "Michelle_Pfeiffer", "3823": "Michelle_Rodriguez", "3824": "Michelle_Yeoh", "3825": "Mick_Jagger", "3826": "Mick_McCarthy", "3827": "Mickey_Gilley", "3828": "Mickey_Loomis", "3829": "Mickey_Rooney", "3830": "Mickey_Sherman", "3831": "Micky_Arison", "3832": "Micky_Ward", "3833": "Miguel_Aldana_Ibarra", "3834": "Miguel_Angel_Rodriguez", "3835": "Miguel_Contreras", "3836": "Miguel_Cotto", "3837": "Miguel_Estrada", "3838": "Miguel_Hakim", "3839": "Miguel_Jimenez", "3840": "Miguel_Juarez_Perez", "3841": "Miguel_Rosseto", "3842": "Mika_Hakkinen", "3843": "Mike_Alden", "3844": "Mike_Babcock", "3845": "Mike_Bair", "3846": "Mike_Brey", "3847": "Mike_Bryan", "3848": "Mike_Carona", "3849": "Mike_Cunning", "3850": "Mike_Davis", "3851": "Mike_Duke", "3852": "Mike_Easley", "3853": "Mike_Eskew", "3854": "Mike_Farrar", "3855": "Mike_Fisher", "3856": "Mike_Flanagan", "3857": "Mike_Gable", "3858": "Mike_Helton", "3859": "Mike_Holmgren", "3860": "Mike_Johanns", "3861": "Mike_Krzyzewski", "3862": "Mike_Leach", "3863": "Mike_Maroth", "3864": "Mike_Martz", "3865": "Mike_Matheny", "3866": "Mike_Matthews", "3867": "Mike_Miller", "3868": "Mike_Montgomery", "3869": "Mike_Myers", "3870": "Mike_OConnell", "3871": "Mike_Price", "3872": "Mike_Richter", "3873": "Mike_Samp", "3874": "Mike_Scioscia", "3875": "Mike_Sherman", "3876": "Mike_Slive", "3877": "Mike_Smith", "3878": "Mike_Stefanik", "3879": "Mike_Sweeney", "3880": "Mike_Szymanczyk", "3881": "Mike_Thibault", "3882": "Mike_Tice", "3883": "Mike_Tyson", "3884": "Mike_Webster", "3885": "Mike_Weir", "3886": "Mikhail_Gorbachev", "3887": "Mikhail_Kalashnikov", "3888": "Mikhail_Kasyanov", "3889": "Mikhail_Khodorkovsky", "3890": "Mikhail_Shvydkoi", "3891": "Mikhail_Wehbe", "3892": "Mikhail_Youzhny", "3893": "Mikulas_Dzurinda", "3894": "Milan_Kucan", "3895": "Milan_Milutinovic", "3896": "Mile_Mrksic", "3897": "Miles_Stewart", "3898": "Millicent_Martin", "3899": "Milo_Djukanovic", "3900": "Milo_Maestrecampo", "3901": "Milt_Heflin", "3902": "Milt_Palacio", "3903": "Milton_Berle", "3904": "Milton_Wynants", "3905": "Minnie_Driver", "3906": "Minnie_Mendoza", "3907": "Mira_Sorvino", "3908": "Miranda_Gaddis", "3909": "Miranda_Otto", "3910": "Mireille_Jospin-Dandieu", "3911": "Mirela_Manjani", "3912": "Mireya_Elisa_Moscoso_Rodriguez", "3913": "Mireya_Moscoso", "3914": "Miroljub", "3915": "Missy_Crider", "3916": "Misty_Dawn_Clymer", "3917": "Mitar_Rasevic", "3918": "Mitch_Kupchak", "3919": "Mitchell_Crooks", "3920": "Mitchell_Daniels", "3921": "Mitchell_Garabedian", "3922": "Mitchell_McLaughlin", "3923": "Mitchell_Potter", "3924": "Mitchell_Swartz", "3925": "Mitoji_Yabunaka", "3926": "Mitsou_Gelinas", "3927": "Mitt_Romney", "3928": "Mitzi_Gaynor", "3929": "Miyako_Miyazaki", "3930": "Mladen_Naletilic", "3931": "Mo_Elleithee", "3932": "Moby", "3933": "Mohamed_Benaissa", "3934": "Mohamed_ElBaradei", "3935": "Mohamed_Hammam", "3936": "Mohamed_Seineldin", "3937": "Mohammad_Aktar", "3938": "Mohammad_Al-Sharief", "3939": "Mohammad_Fares", "3940": "Mohammad_Hasanein", "3941": "Mohammad_Khatami", "3942": "Mohammad_Mustapha_Miro", "3943": "Mohammaed_Ahmad_Al_Jarallah", "3944": "Mohammed_Abu_Sharia", "3945": "Mohammed_Abulhasan", "3946": "Mohammed_Al-Douri", "3947": "Mohammed_Al_Hindi", "3948": "Mohammed_Ashraf_Hafiz", "3949": "Mohammed_Baqir_al-Hakim", "3950": "Mohammed_Dahlan", "3951": "Mohammed_Mehdi_Saleh", "3952": "Mohammed_Salmane", "3953": "Molly_Sims", "3954": "Momcilo_Perisic", "3955": "Momir_Nikolic", "3956": "Mona_Ayoub", "3957": "Mona_Locke", "3958": "Mona_Rishmawi", "3959": "Monica_Bellucci", "3960": "Monica_Gabrielle", "3961": "Monica_Lewinsky", "3962": "Monica_Seles", "3963": "Monica_Serra", "3964": "Monica_Vergara", "3965": "Monique_Ferreira", "3966": "Monique_Gagnon-Tremblay", "3967": "Monique_Garbrecht-Enfeldt", "3968": "Monte_Kiffin", "3969": "Moon-So-ri", "3970": "Morgan_Fairchild", "3971": "Morgan_Freeman", "3972": "Morgan_Hentzen", "3973": "Morris_Dees", "3974": "Morris_Watts", "3975": "Moshe_Katsav", "3976": "Mother_Teresa", "3977": "Ms_Dynamite", "3978": "Mstislav_Rostropovich", "3979": "Muammar_Gaddafi", "3980": "Muffet_McGraw", "3981": "Mufti_Mohammad_Syed", "3982": "Muhammad_Ali", "3983": "Muhammad_Ibrahim_Bilal", "3984": "Muhammad_Saeed_al-Sahhaf", "3985": "Mukesh_Ambani", "3986": "Mukhtar_Alytnbayev", "3987": "Munir_Akram", "3988": "Muwafak_al-Ani", "3989": "Myung_Yang", "3990": "Na_Na_Keum", "3991": "Nabil_Shaath", "3992": "Nadia_Forte", "3993": "Nadia_Petrova", "3994": "Nadine_Vinzens", "3995": "Naji_Sabri", "3996": "Najib_al-Salhi", "3997": "Namuddu_Florence", "3998": "Nan_Wang", "3999": "Nancy_Demme", "4000": "Nancy_Greenlaw", "4001": "Nancy_Humbert", "4002": "Nancy_Kerrigan", "4003": "Nancy_Pelosi", "4004": "Nancy_Powell", "4005": "Nancy_Reagan", "4006": "Nancy_Sinatra", "4007": "Nancy_Smith", "4008": "Nanni_Moretti", "4009": "Naomi_Bronstein", "4010": "Naomi_Campbell", "4011": "Naomi_Hayashi", "4012": "Naomi_Watts", "4013": "Naoto_Kan", "4014": "Narayan_Singh_Pun", "4015": "Narendra_Modi", "4016": "Nasser_al-Kidwa", "4017": "Nastassia_Kinski", "4018": "Nastia_Liukin", "4019": "Natalia_Dmitrieva", "4020": "Natalia_Motuziuk", "4021": "Natalia_Verbeke", "4022": "Natalia_Vodonova", "4023": "Natalie_Cole", "4024": "Natalie_Coughlin", "4025": "Natalie_Imbruglia", "4026": "Natalie_Juniardi", "4027": "Natalie_Maines", "4028": "Natalie_Stewart", "4029": "Natalie_Williams", "4030": "Natalya_Sazanovich", "4031": "Natanaela_Barnova", "4032": "Natasa_Micic", "4033": "Natasha_Henstridge", "4034": "Natasha_Lyonne", "4035": "Natasha_McElhone", "4036": "Nate_Blackwell", "4037": "Nate_Huffman", "4038": "Nate_Hybl", "4039": "Nathalia_Gillot", "4040": "Nathalie_Baye", "4041": "Nathalie_Dechy", "4042": "Nathalie_Gagnon", "4043": "Nathan_Doudney", "4044": "Nathan_Lane", "4045": "Nathan_Powell", "4046": "Nathan_Smith", "4047": "Nathirah_Hussein", "4048": "Nawabzada_Nasrullah_Khan", "4049": "Nebojsa_Pavkovic", "4050": "Neil_Goldman", "4051": "Neil_Moritz", "4052": "Nelson_Acosta", "4053": "Nelson_Mandela", "4054": "Nelson_Shanks", "4055": "Neri_Marcore", "4056": "Nestor_Gonzalez", "4057": "Nestor_Kirchner", "4058": "Nestor_Santillan", "4059": "Newt_Gingrich", "4060": "Newton_Carlton_Slawson", "4061": "Nia_Vardalos", "4062": "Niall_Connolly", "4063": "Nicanor_Duarte_Frutos", "4064": "Nicholas_Byron", "4065": "Nicholas_Tse", "4066": "Nicholoas_DiMarzio", "4067": "Nick_Cassavetes", "4068": "Nick_Markakis", "4069": "Nick_Nolte", "4070": "Nick_Price", "4071": "Nick_Rahall", "4072": "Nick_Reilly", "4073": "Nick_Rimando", "4074": "Nick_Turner", "4075": "Nicklas_Lidstrom", "4076": "Nicola_Bono", "4077": "Nicola_Wells", "4078": "Nicolas_Cage", "4079": "Nicolas_Escude", "4080": "Nicolas_Eyzaguirre", "4081": "Nicolas_Kiefer", "4082": "Nicolas_Lapentti", "4083": "Nicolas_Latorre", "4084": "Nicolas_Macrozonaris", "4085": "Nicolas_Massu", "4086": "Nicolas_Sarkozy", "4087": "Nicole", "4088": "Nicole_Hiltz", "4089": "Nicole_Kidman", "4090": "Nicole_Parker", "4091": "Nicoletta_Braschi", "4092": "Nida_Blanca", "4093": "Nigel_Redden", "4094": "Nikki_Cascone", "4095": "Nikki_McKibbin", "4096": "Nikki_Reed", "4097": "Nikki_Teasley", "4098": "Nikolay_Davydenko", "4099": "Nila_Ferran", "4100": "Nina_Jacobson", "4101": "Nina_Pecari", "4102": "Nino_DAngelo", "4103": "Nizar_Trabelsi", "4104": "Noah_Wyle", "4105": "Nobuyuki_Idei", "4106": "Noel_Forgeard", "4107": "Noel_Niell", "4108": "Noelle_Bush", "4109": "Noer_Moeis", "4110": "Noer_Muis", "4111": "Nona_Gaye", "4112": "Nong_Duc_Manh", "4113": "Noor_Mohammed", "4114": "Nora_Bendijo", "4115": "Nora_Ephron", "4116": "Norah_Jones", "4117": "Norbert_van_Heyst", "4118": "Norio_Ohga", "4119": "Norm_Coleman", "4120": "Norm_Macdonald", "4121": "Norman_Jewison", "4122": "Norman_Mailer", "4123": "Norman_Mineta", "4124": "Normand_Legault", "4125": "Norodom_Chakrapong", "4126": "Norodom_Sihanouk", "4127": "Nova_Esther_Guthrie", "4128": "Nuon_Chea", "4129": "Nur_Jaafar", "4130": "Nursultan_Nazarbayev", "4131": "OJ_Simpson", "4132": "Octavio_Lara", "4133": "Odai_Hussein", "4134": "Odilia_Collazo", "4135": "Oleg_Romantsev", "4136": "Oleksandr_Moroz", "4137": "Olene_Walker", "4138": "Olesya_Bonabarenko", "4139": "Oliver_Neuville", "4140": "Oliver_Phelps", "4141": "Oliver_Stone", "4142": "Olivera_Labus", "4143": "Olivia_Newton-John", "4144": "Olivier_Boulay", "4145": "Olivier_Rochus", "4146": "Olympia_Dukakis", "4147": "Omar_Khan_Sharif", "4148": "Omar_Sharif", "4149": "Omar_Vizquel", "4150": "Omar_el-Heib", "4151": "Ontario_Lett", "4152": "Oprah_Winfrey", "4153": "Oracene_Williams", "4154": "Orlando_Bloom", "4155": "Ornella_Muti", "4156": "Orrin_Hatch", "4157": "Osama_Al_Baz", "4158": "Osama_bin_Laden", "4159": "Oscar_Bolanos", "4160": "Oscar_DLeon", "4161": "Oscar_De_La_Hoya", "4162": "Oscar_Elias_Biscet", "4163": "Oscar_de_la_Renta", "4164": "Osmond_Smith", "4165": "Osrat_Iosef", "4166": "Oswald_Gruebel", "4167": "Oswaldo_Paya", "4168": "Otto_Reich", "4169": "Otto_Schily", "4170": "Owen_Nolan", "4171": "Owen_Wilson", "4172": "Oxana_Fedorova", "4173": "Ozzie_Smith", "4174": "Ozzy_Osbourne", "4175": "Pa_Kou_Hang", "4176": "Pablo_Khulental", "4177": "Pablo_Latras", "4178": "Paddy_Long", "4179": "Paddy_Torsney", "4180": "Padraig_Harrington", "4181": "Paek_Nam_Sun", "4182": "Paige_Fitzgerald", "4183": "Pak_Gil_Yon", "4184": "Pamela_Anderson", "4185": "Pamela_Melroy", "4186": "Paola_Espinoza", "4187": "Paradorn_Srichaphan", "4188": "Paris_Hilton", "4189": "Park_Jie-won", "4190": "Park_Jung_Sung", "4191": "Park_Na-kyong", "4192": "Parris_Glendening", "4193": "Parthiv_Patel", "4194": "Pascal_Affi_Nguessan", "4195": "Pascal_Lamy", "4196": "Pascal_Quignard", "4197": "Pascal_Rheaume", "4198": "Pat_Burns", "4199": "Pat_Cox", "4200": "Pat_DAmuro", "4201": "Pat_Riley", "4202": "Pat_Rochester", "4203": "Pat_Summerall", "4204": "Pat_Summitt", "4205": "Pat_Wharton", "4206": "Patrice_Chereau", "4207": "Patricia_Clarkson", "4208": "Patricia_Garone", "4209": "Patricia_Hearst", "4210": "Patricia_Heaton", "4211": "Patricia_Johnson", "4212": "Patricia_Medina", "4213": "Patricia_Phillips", "4214": "Patricia_Russo", "4215": "Patricia_Wartusch", "4216": "Patrick_Bourrat", "4217": "Patrick_Clawsen", "4218": "Patrick_Coleman", "4219": "Patrick_Dennehy", "4220": "Patrick_Eaves", "4221": "Patrick_Ewing", "4222": "Patrick_Kron", "4223": "Patrick_Leahy", "4224": "Patrick_McEnroe", "4225": "Patrick_Rafter", "4226": "Patrick_Roy", "4227": "Patrick_Stewart", "4228": "Patrik_Kristiansson", "4229": "Patsy_Hardy", "4230": "Patsy_Kensit", "4231": "Patsy_Mink", "4232": "Patti_Balgojevich", "4233": "Patti_Labelle", "4234": "Patti_Lank", "4235": "Patti_Smith", "4236": "Patty_Duke", "4237": "Patty_Schnyder", "4238": "Patty_Sheehan", "4239": "Paul-Henri_Mathieu", "4240": "Paul_Bettany", "4241": "Paul_Brandt", "4242": "Paul_Bremer", "4243": "Paul_Burrell", "4244": "Paul_Byrd", "4245": "Paul_Celluci", "4246": "Paul_Cerjan", "4247": "Paul_Clark", "4248": "Paul_Coppin", "4249": "Paul_Crake", "4250": "Paul_Desmarais", "4251": "Paul_Ebert", "4252": "Paul_Farley", "4253": "Paul_Gannon", "4254": "Paul_Gascoigne", "4255": "Paul_Greengrass", "4256": "Paul_Henderson", "4257": "Paul_Hogan", "4258": "Paul_Johnson", "4259": "Paul_Kagame", "4260": "Paul_Kariya", "4261": "Paul_Kelleher", "4262": "Paul_Krueger", "4263": "Paul_LeClerc", "4264": "Paul_Li_Calsi", "4265": "Paul_Lo_Duca", "4266": "Paul_Lockhart", "4267": "Paul_Luvera", "4268": "Paul_Martin", "4269": "Paul_McCartney", "4270": "Paul_McNulty", "4271": "Paul_Michael_Daniels", "4272": "Paul_Murphy", "4273": "Paul_Newman", "4274": "Paul_ONeill", "4275": "Paul_Otellini", "4276": "Paul_Patton", "4277": "Paul_Pierce", "4278": "Paul_Reiser", "4279": "Paul_Sarbanes", "4280": "Paul_Schrader", "4281": "Paul_Shanley", "4282": "Paul_Tagliabue", "4283": "Paul_Tracy", "4284": "Paul_Vathis", "4285": "Paul_Walker", "4286": "Paul_Wals", "4287": "Paul_Wellstone", "4288": "Paul_William_Hurley", "4289": "Paul_Wilson", "4290": "Paul_Wolfowitz", "4291": "Paul_Wollnough", "4292": "Paula_Abdul", "4293": "Paula_Dobriansky", "4294": "Paula_Locke", "4295": "Paula_Prentiss", "4296": "Paula_Radcliffe", "4297": "Paula_Zahn", "4298": "Pauley_Perrette", "4299": "Paulie_Ayala", "4300": "Paulina_Rodriguez_Davila", "4301": "Pauline_Landers", "4302": "Pauline_Phillips", "4303": "Paulo_Cesar_Pinheiro", "4304": "Pedro_Almodovar", "4305": "Pedro_Alvarez", "4306": "Pedro_Duque", "4307": "Pedro_Mahecha", "4308": "Pedro_Malan", "4309": "Pedro_Martinez", "4310": "Pedro_Pauleta", "4311": "Pedro_Solbes", "4312": "Pedro_Velasquez", "4313": "Peggy_McGuinness", "4314": "Pele", "4315": "Penelope_Ann_Miller", "4316": "Penelope_Cruz", "4317": "Penelope_Taylor", "4318": "Penny_Dupuie", "4319": "Penny_Lancaster", "4320": "Percy_Gibson", "4321": "Peri_Gilpin", "4322": "Pernilla_Bjorn", "4323": "Perri_Shaw", "4324": "Perry_Compton", "4325": "Perry_Farrell", "4326": "Perry_Gibbs", "4327": "Pervez_Musharraf", "4328": "Pete_Aldridge", "4329": "Pete_Beaudrault", "4330": "Pete_Carroll", "4331": "Pete_Gillen", "4332": "Pete_Rose", "4333": "Pete_Sampras", "4334": "Peter_Ahearn", "4335": "Peter_Albertsen", "4336": "Peter_Arnett", "4337": "Peter_Bacanovic", "4338": "Peter_Camejo", "4339": "Peter_Care", "4340": "Peter_Caruana", "4341": "Peter_Chan", "4342": "Peter_Costello", "4343": "Peter_Fisher", "4344": "Peter_Fitzgerald", "4345": "Peter_Fonda", "4346": "Peter_Gabriel", "4347": "Peter_Gilmour", "4348": "Peter_Goldmark", "4349": "Peter_Greenaway", "4350": "Peter_Greenspun", "4351": "Peter_Harrison", "4352": "Peter_Hartz", "4353": "Peter_Harvey", "4354": "Peter_Hillary", "4355": "Peter_Hollingworth", "4356": "Peter_Holmberg", "4357": "Peter_Hunt", "4358": "Peter_Lundgren", "4359": "Peter_Mackay", "4360": "Peter_Mansbridge", "4361": "Peter_Max", "4362": "Peter_Medgyessy", "4363": "Peter_Mugyeni", "4364": "Peter_Mullan", "4365": "Peter_OToole", "4366": "Peter_Rasch", "4367": "Peter_Rasmussen", "4368": "Peter_Schultz", "4369": "Peter_Sejna", "4370": "Peter_Shaw", "4371": "Peter_Struck", "4372": "Peter_Ueberroth", "4373": "Petria_Thomas", "4374": "Petro_Symonenko", "4375": "Pham_Sy_Chien", "4376": "Pham_Thi_Mai_Phuong", "4377": "Phan_Van_Khai", "4378": "Pharrell_Williams", "4379": "Phil_Bennett", "4380": "Phil_Bredesen", "4381": "Phil_Cline", "4382": "Phil_Cullen", "4383": "Phil_Donahue", "4384": "Phil_Gramm", "4385": "Phil_Jackson", "4386": "Phil_Johnson", "4387": "Phil_McGraw", "4388": "Phil_Mickelson", "4389": "Phil_Morris", "4390": "Phil_Vassar", "4391": "Philip_Cummings", "4392": "Philip_Murtaugh", "4393": "Philip_Zalewski", "4394": "Philippe_Gagnon", "4395": "Philippe_Noiret", "4396": "Phillip_Fulmer", "4397": "Phillip_Seymor_Hoffmann", "4398": "Phillipe_Comtois", "4399": "Phillips_Idowu", "4400": "Phoenix_Chang", "4401": "Picabo_Street", "4402": "Pier_Ferdinando_Casini", "4403": "Pierce_Brosnan", "4404": "Pierre_Boulanger", "4405": "Pierre_Gagnon", "4406": "Pierre_Lacroix", "4407": "Pierre_Pettigrew", "4408": "Pierre_Png", "4409": "Pierre_Van_Hooijdonk", "4410": "Piers_Sellers", "4411": "Pieter_Bouw", "4412": "Pilar_Montenegro", "4413": "Pinar_del_Rio", "4414": "Pio_Laghi", "4415": "Piotr_Anderszewski", "4416": "Placido_Domingo", "4417": "Platon_Lebedev", "4418": "Poala_Suarez", "4419": "Polona_Bas", "4420": "Porter_Goss", "4421": "Portia_de_Rossi", "4422": "Prakash_Hinduja", "4423": "Prem_Kumar_Nair", "4424": "Prince_Charles", "4425": "Prince_Claus", "4426": "Prince_Edward", "4427": "Prince_Felipe", "4428": "Prince_Harry", "4429": "Prince_Naruhito", "4430": "Prince_Philippe", "4431": "Prince_Rainier_III", "4432": "Prince_Willem-Alexander", "4433": "Prince_William", "4434": "Princess_Aiko", "4435": "Princess_Anne", "4436": "Princess_Caroline", "4437": "Princess_Diana", "4438": "Princess_Elisabeth", "4439": "Princess_Hisako", "4440": "Princess_Masako", "4441": "Princess_Maxima", "4442": "Princess_Stephanie", "4443": "Princess_Victoria", "4444": "Pringe_Ernst_August", "4445": "Priscilla_Owen", "4446": "Priscilla_Presley", "4447": "Priyanka_Chopra", "4448": "Prospero_Pichay", "4449": "Pupi_Avati", "4450": "Pyar_Jung_Thapa", "4451": "Qais_al-Kazali", "4452": "Qazi_Afzal", "4453": "Qazi_Hussain_Ahmed", "4454": "Qian_Qichen", "4455": "Queen_Beatrix", "4456": "Queen_Elizabeth_II", "4457": "Queen_Latifah", "4458": "Queen_Noor", "4459": "Queen_Rania", "4460": "Queen_Silvia", "4461": "Queen_Sofia", "4462": "Quin_Snyder", "4463": "Quincy_Jones", "4464": "Qusai_Hussein", "4465": "Raaf_Schefter", "4466": "Raag_Singhal", "4467": "Rachel_Corrie", "4468": "Rachel_Griffiths", "4469": "Rachel_Hunter", "4470": "Rachel_Kempson", "4471": "Rachel_Leigh_Cook", "4472": "Rachel_Roy", "4473": "Rachel_Wadsworth", "4474": "Rachel_Wheatley", "4475": "Radovan_Karadzic", "4476": "Raf_Vallone", "4477": "Rafael_Bielsa", "4478": "Rafael_Ramirez", "4479": "Rafael_Vinoly", "4480": "Rafeeuddin_Ahmed", "4481": "Rafidah_Aziz", "4482": "Rafiq_Hariri", "4483": "Raghad_Saddam_Hussein", "4484": "Rahul_Dravid", "4485": "Rainer_Geulen", "4486": "Rainer_Gut", "4487": "Rainer_Schuettler", "4488": "Raja_Ibrahim", "4489": "Raja_Qureshi", "4490": "Raja_Ramani", "4491": "Raja_Zafar-ul-Haq", "4492": "Ralf_Schumacher", "4493": "Ralph_Fiennes", "4494": "Ralph_Firman", "4495": "Ralph_Friedgen", "4496": "Ralph_Goodale", "4497": "Ralph_Klein", "4498": "Ralph_Lauren", "4499": "Ralph_Nader", "4500": "Ralph_Sampson", "4501": "Ramiro_Goben_Reducindo", "4502": "Ramon_Cardenas", "4503": "Ramon_Delgado", "4504": "Ramon_Ponce_de_Leon", "4505": "Ramon_Santana", "4506": "Ramona_Rispton", "4507": "Rand_Beers", "4508": "Rand_Miller", "4509": "Randall_Terry", "4510": "Randall_Tobias", "4511": "Randy_Brown", "4512": "Randy_Dryer", "4513": "Randy_Ferbey", "4514": "Randy_Jackson", "4515": "Randy_Johnson", "4516": "Randy_Travis", "4517": "Rani_Mukherjee", "4518": "Ranil_Wickremasinghe", "4519": "Raoul_Ruiz", "4520": "Raquel_Welch", "4521": "Rashid_Qureshi", "4522": "Ratna_Sari_Dewi_Sukarno", "4523": "Raul_Castaneda", "4524": "Raul_Chacon", "4525": "Raul_Cubas", "4526": "Raul_Gonzalez", "4527": "Raul_Ibanez", "4528": "Raul_Mondesi", "4529": "Raul_Rivero", "4530": "Ravan_AG_Farhadi", "4531": "Ray_Allen", "4532": "Ray_Bradbury", "4533": "Ray_Evernham", "4534": "Ray_Halbritter", "4535": "Ray_Lewis", "4536": "Ray_Liotta", "4537": "Ray_Lucas", "4538": "Ray_Morrough", "4539": "Ray_Nagin", "4540": "Ray_Price", "4541": "Ray_Romano", "4542": "Ray_Sherman", "4543": "Ray_Wasden", "4544": "Ray_Young", "4545": "Raymond_Arthurs", "4546": "Raymond_Odierno", "4547": "Raza_Rabbani", "4548": "Razali_Ismail", "4549": "Rebecca_Romijn-Stamos", "4550": "Rebekah_Chantay_Revels", "4551": "Recep_Tayyip_Erdogan", "4552": "Red_Auerbach", "4553": "Reese_Witherspoon", "4554": "Reggie_Lewis", "4555": "Reggie_Miller", "4556": "Reggie_Sanders", "4557": "Regina_Ip", "4558": "Reginald_Hudlin", "4559": "Reina_Hayes", "4560": "Reinhard_Buetikofer", "4561": "Ren_Qingjin", "4562": "Rena_Sofer", "4563": "Renato_Soru", "4564": "Rene_Antonio_Leon_Rodriguez", "4565": "Rene_Portland", "4566": "Renee_Zellweger", "4567": "Retief_Goosen", "4568": "Rey_Sanchez", "4569": "Reyyan_Uzuner", "4570": "Rhett_Warrener", "4571": "Rhina_Villatoro", "4572": "Ricardo_Lagos", "4573": "Ricardo_Lopez_Murphy", "4574": "Ricardo_Maduro", "4575": "Ricardo_Mayorga", "4576": "Ricardo_Monasterio", "4577": "Ricardo_Sanchez", "4578": "Riccardo_Muti", "4579": "Rich_Brooks", "4580": "Rich_Gannon", "4581": "Richard_Armitage", "4582": "Richard_Barry", "4583": "Richard_Branson", "4584": "Richard_Butler", "4585": "Richard_Carl", "4586": "Richard_Chamberlain", "4587": "Richard_Cohen", "4588": "Richard_Crenna", "4589": "Richard_Daley", "4590": "Richard_Dreyfuss", "4591": "Richard_Fine", "4592": "Richard_Gephardt", "4593": "Richard_Gere", "4594": "Richard_Greenberg", "4595": "Richard_Haass", "4596": "Richard_Hamilton", "4597": "Richard_Harris", "4598": "Richard_Hellfant", "4599": "Richard_Jefferson", "4600": "Richard_Jewell", "4601": "Richard_Krajicek", "4602": "Richard_Langille", "4603": "Richard_Lennon", "4604": "Richard_Levin", "4605": "Richard_Lugar", "4606": "Richard_Myers", "4607": "Richard_Naughton", "4608": "Richard_Norton-Taylor", "4609": "Richard_Palmer", "4610": "Richard_Parsons", "4611": "Richard_Paul_Evans", "4612": "Richard_Penniman", "4613": "Richard_Pennington", "4614": "Richard_Perle", "4615": "Richard_Regenhard", "4616": "Richard_Reid", "4617": "Richard_Rodriguez", "4618": "Richard_Sambrook", "4619": "Richard_Shelby", "4620": "Richard_Sterner", "4621": "Richard_Tubb", "4622": "Richard_Virenque", "4623": "Richard_Ward", "4624": "Richie_Adubato", "4625": "Rick_Barnes", "4626": "Rick_Bland", "4627": "Rick_Bragg", "4628": "Rick_Carlisle", "4629": "Rick_Caruso", "4630": "Rick_Dinse", "4631": "Rick_Husband", "4632": "Rick_Lu", "4633": "Rick_Perry", "4634": "Rick_Pitino", "4635": "Rick_Reed", "4636": "Rick_Rickert", "4637": "Rick_Romley", "4638": "Rick_Santorum", "4639": "Rick_Stansbury", "4640": "Rick_Wagoner", "4641": "Ricky_Barnes", "4642": "Ricky_Cottrill", "4643": "Ricky_Martin", "4644": "Ricky_Ponting", "4645": "Ricky_Quick", "4646": "Ricky_Ray", "4647": "Ridley_Scott", "4648": "Riek_Blanjaar", "4649": "Rien_Long", "4650": "Rina_Lazo", "4651": "Ringo_Starr", "4652": "Rio_Ferdinand", "4653": "Rita_Grande", "4654": "Rita_Moreno", "4655": "Rita_Wilson", "4656": "Rob_Lowe", "4657": "Rob_Marshall", "4658": "Rob_Moore", "4659": "Rob_Morrow", "4660": "Rob_Niedermayer", "4661": "Rob_Ramsay", "4662": "Rob_Schneider", "4663": "Robbie_Coltrane", "4664": "Robbie_Fowler", "4665": "Robbie_Mc_Ewen", "4666": "Robbie_Naish", "4667": "Robbie_Williams", "4668": "Robby_Ginepri", "4669": "Robert_Altman", "4670": "Robert_Beck", "4671": "Robert_Blackwill", "4672": "Robert_Blake", "4673": "Robert_Bonner", "4674": "Robert_Bullock", "4675": "Robert_DeFraites", "4676": "Robert_De_Niro", "4677": "Robert_Douglas", "4678": "Robert_Downey_Jr", "4679": "Robert_Durst", "4680": "Robert_Duvall", "4681": "Robert_Ehrlich", "4682": "Robert_Evans", "4683": "Robert_F_Kennedy_Jr", "4684": "Robert_Fico", "4685": "Robert_Flodquist", "4686": "Robert_Gallo", "4687": "Robert_Gordon_Card", "4688": "Robert_Hanssen", "4689": "Robert_Horan", "4690": "Robert_Hyatt", "4691": "Robert_Kipkoech_Cheruiyot", "4692": "Robert_Kocharian", "4693": "Robert_Korzeniowski", "4694": "Robert_Lange", "4695": "Robert_Lee_Yates_Jr", "4696": "Robert_Marshall", "4697": "Robert_McKee", "4698": "Robert_Morvillo", "4699": "Robert_Mueller", "4700": "Robert_Mugabe", "4701": "Robert_Nardelli", "4702": "Robert_Nillson", "4703": "Robert_Pollack", "4704": "Robert_Redford", "4705": "Robert_Schuller", "4706": "Robert_Stack", "4707": "Robert_Torricelli", "4708": "Robert_Towne", "4709": "Robert_Tyrrell", "4710": "Robert_Vowler", "4711": "Robert_Wagner", "4712": "Robert_Weitzel", "4713": "Robert_Wiener", "4714": "Robert_Witt", "4715": "Robert_Woody_Johnson", "4716": "Robert_Zoellick", "4717": "Roberta_Combs", "4718": "Roberto_Arguelles", "4719": "Roberto_Benigni", "4720": "Roberto_Canessa", "4721": "Roberto_Carlos", "4722": "Roberto_Cavalli", "4723": "Roberto_Cercelletta", "4724": "Roberto_Guaterroma", "4725": "Roberto_Laratro", "4726": "Roberto_Lavagna", "4727": "Roberto_Marinho", "4728": "Roberto_Robaina", "4729": "Roberto_Tovar", "4730": "Robin_Cook", "4731": "Robin_Johansen", "4732": "Robin_McGraw", "4733": "Robin_McLaurin_Williams", "4734": "Robin_Tunney", "4735": "Robin_Wagner", "4736": "Robin_Williams", "4737": "Robin_Wright_Penn", "4738": "Robinson_Stevenin", "4739": "Rocco_Buttiglione", "4740": "Rod_Blagojevich", "4741": "Rod_Bryden", "4742": "Rod_Jong-il", "4743": "Rod_Paige", "4744": "Rod_Stewart", "4745": "Rod_Thorn", "4746": "Rodney_Dangerfield", "4747": "Rodney_Rempt", "4748": "Rodolfo_Abalos", "4749": "Rodrigo_Borja", "4750": "Rodrigo_Rato", "4751": "Rodrigo_de_la_Cerna", "4752": "Roel_Campos", "4753": "Rogelio_Montemayor", "4754": "Rogelio_Ramos", "4755": "Roger_Clemens", "4756": "Roger_Cook", "4757": "Roger_Corbett", "4758": "Roger_Daltrey", "4759": "Roger_Etchegaray", "4760": "Roger_Federer", "4761": "Roger_Grimes", "4762": "Roger_King", "4763": "Roger_Lyons", "4764": "Roger_Machado", "4765": "Roger_Mahony", "4766": "Roger_Moore", "4767": "Roger_Penske", "4768": "Roger_Staubach", "4769": "Roger_Suarez", "4770": "Roger_Toussaint", "4771": "Roger_Winter", "4772": "Rogerio_Romero", "4773": "Roh_Moo-hyun", "4774": "Rohinton_Mistry", "4775": "Rohman_al-Ghozi", "4776": "Roland_Koch", "4777": "Rolandas_Paksas", "4778": "Rolf_Eckrodt", "4779": "Rolf_Zimmermann", "4780": "Rollie_Massimino", "4781": "Romain_Duris", "4782": "Roman_Abramovich", "4783": "Roman_Coppola", "4784": "Roman_Polanski", "4785": "Roman_Tam", "4786": "Romano_Prodi", "4787": "Romario_Farias", "4788": "Romeo_Gigli", "4789": "Ron_Dittemore", "4790": "Ron_Gonzales", "4791": "Ron_Howard", "4792": "Ron_Kirk", "4793": "Ron_Lantz", "4794": "Ron_Zook", "4795": "Ronald_Brower", "4796": "Ronald_Harwood", "4797": "Ronald_Ito", "4798": "Ronald_Kadish", "4799": "Ronald_Kessler", "4800": "Ronald_Perelman", "4801": "Ronald_Post", "4802": "Ronald_Reagan", "4803": "Ronald_White", "4804": "Ronald_Young_Jr", "4805": "Ronaldo_Luis_Nazario_de_Lima", "4806": "Ronde_Barber", "4807": "Ronnie_Jagday", "4808": "Ronnie_Musgrove", "4809": "Rosa_Haywa_de_Condori", "4810": "Rosalie_Perkov", "4811": "Rosalyn_Carter", "4812": "Rosario_Dawson", "4813": "Rose_Linkins", "4814": "Rose_Marie", "4815": "Roseanne_Barr", "4816": "Rosemarie_Stack", "4817": "Rosie_Perez", "4818": "Rosny_Desroches", "4819": "Ross_Verba", "4820": "Rowan_Williams", "4821": "Roy_Blunt", "4822": "Roy_Chaderton", "4823": "Roy_Halladay", "4824": "Roy_Jones_Jr", "4825": "Roy_Moore", "4826": "Roy_Rogers", "4827": "Roy_Romanow", "4828": "Roy_Williams", "4829": "Ruano_Pascual", "4830": "Ruben_Sierra", "4831": "Ruben_Studdard", "4832": "Ruben_Wolkowyski", "4833": "Rubens_Barrichello", "4834": "Rudi_Voeller", "4835": "Rudolf_Schuster", "4836": "Rudolph_Giuliani", "4837": "Rudolph_Holton", "4838": "Rudy_Tomjanovich", "4839": "Rulon_Gardner", "4840": "Rupert_Grint", "4841": "Rupert_Murdoch", "4842": "Russ_Ortiz", "4843": "Russell_Coutts", "4844": "Russell_Crowe", "4845": "Russell_Simmons", "4846": "Rustu_Recber", "4847": "Ruth_Bader_Ginsburg", "4848": "Ruth_Christofferson", "4849": "Ruth_Dreifuss", "4850": "Ruth_Harlow", "4851": "Ruth_Pearce", "4852": "Ruth_Stubbs", "4853": "Ryan_Drese", "4854": "Ryan_Goodman", "4855": "Ryan_Leaf", "4856": "Ryan_Newman", "4857": "Ryan_Nyquist", "4858": "SJ_Twu", "4859": "S_Jayakumar", "4860": "Saadi_Gadhafi", "4861": "Sabah_Al-Ahmad_Al-Jaber_Al-Sabah", "4862": "Saburo_Kawabuchi", "4863": "Sachiko_Yamada", "4864": "Sachin_Tendulkar", "4865": "Sada_Jacobson", "4866": "Sadam_Hassan", "4867": "Saddam_Hussein", "4868": "Sadie_Frost", "4869": "Saeb_Erekat", "4870": "Saeed_Anwar", "4871": "Saeed_Mortazavi", "4872": "Sahim_Alwan", "4873": "Saied_Hadi_al_Mudarissi", "4874": "Sally_Clark", "4875": "Sally_Field", "4876": "Sally_Kirkland", "4877": "Sally_Ride", "4878": "Salma_Hayek", "4879": "Salman_Khan", "4880": "Salman_Rushdie", "4881": "Sam_Bith", "4882": "Sam_Brownback", "4883": "Sam_Gerald", "4884": "Sam_Mendes", "4885": "Sam_Rockwell", "4886": "Sam_Torrance", "4887": "Saman_Shali", "4888": "Samantha_Daniels", "4889": "Samantha_Ledster", "4890": "Sami_Al-Arian", "4891": "Samira_Makhmalbaf", "4892": "Sammy_Knight", "4893": "Sammy_Sosa", "4894": "Samuel_Waksal", "4895": "San_Lan", "4896": "Sananda_Maitreya", "4897": "Sandra_Banning", "4898": "Sandra_Bullock", "4899": "Sandra_Ceccarelli", "4900": "Sandra_Day_OConner", "4901": "Sandra_Milo", "4902": "Sandra_Shamas", "4903": "Sandy_Smith", "4904": "Sandy_Wise", "4905": "Sanja_Papic", "4906": "Sanjay_Chawla", "4907": "Sanjay_Gupta", "4908": "Santiago_Botero", "4909": "Saoud_Al_Faisal", "4910": "Saparmurat_Niyazov", "4911": "Sara_Elisabeth_Ahmad", "4912": "Sara_Silverman", "4913": "Sarah_Canale", "4914": "Sarah_Hughes", "4915": "Sarah_Jessica_Parker", "4916": "Sarah_Michelle_Gellar", "4917": "Sarah_Price", "4918": "Sarah_Weddington", "4919": "Sarah_Wynter", "4920": "Sargis_Sargsian", "4921": "Sasha_Alexander", "4922": "Sasha_Cohen", "4923": "Satnarine_Sharma", "4924": "Scott_Blum", "4925": "Scott_Dalton", "4926": "Scott_Dickson", "4927": "Scott_Fawell", "4928": "Scott_Gorelick", "4929": "Scott_Hamilton", "4930": "Scott_Hoch", "4931": "Scott_Hubbard", "4932": "Scott_McClellan", "4933": "Scott_McNealy", "4934": "Scott_OGrady", "4935": "Scott_Peterson", "4936": "Scott_Ritter", "4937": "Scott_Rolen", "4938": "Scott_Rudin", "4939": "Scott_Sullivan", "4940": "Scott_Verplank", "4941": "Scott_Wallach", "4942": "Scott_Weiland", "4943": "Scott_Wittman", "4944": "Scott_Wolf", "4945": "Scott_Yates", "4946": "Se_Hyuk_Joo", "4947": "Sean_Astin", "4948": "Sean_Combs", "4949": "Sean_Hayes", "4950": "Sean_OKeefe", "4951": "Sean_Patrick_OMalley", "4952": "Sean_Patrick_Thomas", "4953": "Sean_Penn", "4954": "Sean_Townsend", "4955": "Sebastian_Cuattrin", "4956": "Sebastian_Porto", "4957": "Sebastian_Saja", "4958": "Sebastien_Grosjean", "4959": "Sedigh_Barmak", "4960": "Selma_Phoenix", "4961": "Sepp_Blatter", "4962": "Serena_Karlan", "4963": "Serena_Williams", "4964": "Sereyvuth_Kem", "4965": "Serge_Klarsfeld", "4966": "Serge_Melac", "4967": "Serge_Tchuruk", "4968": "Sergei_Alexandrovitch_Ordzhonikidze", "4969": "Sergei_Ivanov", "4970": "Sergei_Yastrzhembsky", "4971": "Sergei_Yushenkov", "4972": "Sergey_Lavrov", "4973": "Sergio_Castellitto", "4974": "Sergio_Garcia", "4975": "Sergio_Vieira_De_Mello", "4976": "Seth_Gorney", "4977": "Severino_Antinori", "4978": "Seydou_Diarra", "4979": "Seymour_Cassell", "4980": "Shae-Lynn_Bourne", "4981": "Shafal_Mosed", "4982": "Shamai_Leibowitz", "4983": "Shane_Hmiel", "4984": "Shane_Loux", "4985": "Shane_Mosley", "4986": "Shane_Phillips", "4987": "Shane_Reynolds", "4988": "Shane_Warne", "4989": "Shania_Twain", "4990": "Shanna_Zolman", "4991": "Shannon_OBrien", "4992": "Shannyn_Sossamon", "4993": "Sharess_Harrell", "4994": "Sharon_Davis", "4995": "Sharon_Frey", "4996": "Sharon_Osbourne", "4997": "Sharon_Robinson", "4998": "Sharon_Stone", "4999": "Shaukat_Aziz", "5000": "Shaul_Mofaz", "5001": "Shaun_Pollock", "5002": "Shaun_Rusling", "5003": "Shavon_Earp", "5004": "Shawn_Bradley", "5005": "Shawn_Kemp", "5006": "Shawn_Marion", "5007": "Sheikh_Ahmed_Yassin", "5008": "Sheila_Copps", "5009": "Sheila_Fraser", "5010": "Sheila_Taormina", "5011": "Sheila_Wellstone", "5012": "Sheldon_Silver", "5013": "Sherri_Coale", "5014": "Sherry_Fisher", "5015": "Sherry_Irving", "5016": "Sheryl_Crow", "5017": "Shi_Guangsheng", "5018": "Shia_LaBeouf", "5019": "Shigeo_Nagashima", "5020": "Shigeru_Ishiba", "5021": "Shimon_Peres", "5022": "Shingo_Katayama", "5023": "Shingo_Suetsugu", "5024": "Shinya_Taniguchi", "5025": "Shinzo_Abe", "5026": "Shireen_Amir_Begum", "5027": "Shirley_Jones", "5028": "Shobha_De", "5029": "Shoshana_Johnson", "5030": "Shoshannah_Stern", "5031": "Sid_Caesar", "5032": "Sidney_Kimmel", "5033": "Sidney_Poitier", "5034": "Sigourney_Weaver", "5035": "Sila_Calderon", "5036": "Silvan_Shalom", "5037": "Silvia_Farina_Elia", "5038": "Silvie_Cabero", "5039": "Silvio_Berlusconi", "5040": "Silvio_Fernandez", "5041": "Sim_Yong", "5042": "Simon_Chalk", "5043": "Simon_Cowell", "5044": "Simon_Larose", "5045": "Simon_Yam", "5046": "Simona_Hradil", "5047": "Sinead_OConnor", "5048": "Sivan_Klein", "5049": "Skip_Prosser", "5050": "Slobodan_Milosevic", "5051": "Soenarno", "5052": "Sofia_Milos", "5053": "Sofyan_Dawood", "5054": "Sohail_Abbas", "5055": "Sok_An", "5056": "Solomon_Passy", "5057": "Sonia_Gandhi", "5058": "Sonia_Lopez", "5059": "Sonja_Kesselschlager", "5060": "Sonya_Walger", "5061": "Soon_Yi", "5062": "Sophia_Loren", "5063": "Sophie", "5064": "Sourav_Ganguly", "5065": "Spencer_Abraham", "5066": "Spike_Helmick", "5067": "Spike_Jonze", "5068": "Spike_Lee", "5069": "Stacey_Dales-Schuman", "5070": "Stacey_Jones", "5071": "Stacey_Yamaguchi", "5072": "Stacy_Dragila", "5073": "Stacy_Nelson", "5074": "Stan_Heath", "5075": "Stan_Kasten", "5076": "Stan_Kroenke", "5077": "Stanislas_Wawrinka", "5078": "Stanley_Ho", "5079": "Stanley_McChrystal", "5080": "Stanley_Nelson", "5081": "Stanley_Tong", "5082": "Stefaan_Declerk", "5083": "Stefan_Holm", "5084": "Stefan_Koubek", "5085": "Stefan_Tafrov", "5086": "Stefanie_De_Roux", "5087": "Stefano_Accorsi", "5088": "Stefano_Basalini", "5089": "Stefano_Gabbana", "5090": "Steffeny_Holtz", "5091": "Steffi_Graf", "5092": "Stella_Keitel", "5093": "Stella_McCartney", "5094": "Stella_Tennant", "5095": "Stellan_Skarsgard", "5096": "Steny_Hoyer", "5097": "Stepan_Demirchian", "5098": "Stephan_Eberharter", "5099": "Stephane_Delajoux", "5100": "Stephane_Rochon", "5101": "Stephane_Rousseau", "5102": "Stephanie_Cohen_Aloro", "5103": "Stephanie_Moore", "5104": "Stephanie_Zimbalist", "5105": "Stephen_Ambrose", "5106": "Stephen_Arigbabu", "5107": "Stephen_Cooper", "5108": "Stephen_Covey", "5109": "Stephen_Crampton", "5110": "Stephen_Daldry", "5111": "Stephen_Ebberharter", "5112": "Stephen_Frears", "5113": "Stephen_Friedman", "5114": "Stephen_Funk", "5115": "Stephen_Glassroth", "5116": "Stephen_Joseph", "5117": "Stephen_Keener", "5118": "Stephen_Oake", "5119": "Stephen_Push", "5120": "Stephen_Silas", "5121": "Stephen_Swindal", "5122": "Stephen_Thompson", "5123": "Stephen_Webster", "5124": "Sterling_Hitchcock", "5125": "Steve-O", "5126": "Steve_Alford", "5127": "Steve_Allan", "5128": "Steve_Allee", "5129": "Steve_Austin", "5130": "Steve_Avery", "5131": "Steve_Backley", "5132": "Steve_Ballmer", "5133": "Steve_Blake", "5134": "Steve_Blankenship", "5135": "Steve_Case", "5136": "Steve_Coogan", "5137": "Steve_Coterill", "5138": "Steve_Cox", "5139": "Steve_Cutler", "5140": "Steve_Fehr", "5141": "Steve_Karsay", "5142": "Steve_Kerr", "5143": "Steve_Largent", "5144": "Steve_Lavin", "5145": "Steve_Lenard", "5146": "Steve_Mariucci", "5147": "Steve_McManaman", "5148": "Steve_Nash", "5149": "Steve_Nesbitt", "5150": "Steve_Pagliuca", "5151": "Steve_Park", "5152": "Steve_Patterson", "5153": "Steve_Peace", "5154": "Steve_Phillips", "5155": "Steve_Redgrave", "5156": "Steve_Rush", "5157": "Steve_Shiver", "5158": "Steve_Spurrier", "5159": "Steve_Stirling", "5160": "Steve_Valentine", "5161": "Steve_Wariner", "5162": "Steve_Waugh", "5163": "Steve_Zahn", "5164": "Steven_Briggs", "5165": "Steven_Craig", "5166": "Steven_Curtis_Chapman", "5167": "Steven_Feldman", "5168": "Steven_Hatfill", "5169": "Steven_Kinlock", "5170": "Steven_Seagal", "5171": "Steven_Spielberg", "5172": "Steven_Tyler", "5173": "Steven_Van_Zandt", "5174": "Stipe_Mesic", "5175": "Stockard_Channing", "5176": "Strom_Thurmond", "5177": "Stuart_Knoll", "5178": "Stuart_Townsend", "5179": "Stuart_Whitman", "5180": "Sue_Grafton", "5181": "Sue_Guevara", "5182": "Sue_Johnston", "5183": "Sue_Slavec", "5184": "Sue_Wicks", "5185": "Suh_Chung-won", "5186": "Suh_Young-hoon", "5187": "Suk_Chung_Hong", "5188": "Sultan_Qaboos", "5189": "Sun_Myung_Moon", "5190": "Sung_Hong_Choi", "5191": "Supachai_Panitchpakdi", "5192": "Surakait_Sathirathai", "5193": "Sureyya_Ayhan", "5194": "Surya_Bahadur_Thapa", "5195": "Susan_Collins", "5196": "Susan_Sarandon", "5197": "Susan_Walvius", "5198": "Susan_Whelan", "5199": "Sushma_Swaraj", "5200": "Susie_Castillo", "5201": "Susilo_Bambang_Yudhoyono", "5202": "Suzanne_Fox", "5203": "Suzanne_Gaudet", "5204": "Suzanne_Haik_Terrell", "5205": "Suzanne_Mubarak", "5206": "Suzanne_Somers", "5207": "Suzanne_Torrance", "5208": "Suzie_McConnell_Serio", "5209": "Sven_Goran_Eriksson", "5210": "Sven_Ottke", "5211": "Svend_Aage_Jensby", "5212": "Svend_Robinson", "5213": "Svetislav_Pesic", "5214": "Svetlana_Belousova", "5215": "Svetlana_Koroleva", "5216": "Svetoslav_Todorov", "5217": "Sybille_Schmid", "5218": "Syed_Abdul_Rahman_Geelani", "5219": "Syed_Ibrahim", "5220": "Sylvester_Stallone", "5221": "Sylvia_Plachy", "5222": "Sylvie_Guillem", "5223": "Szu_Yu_Chen", "5224": "TA_McLendon", "5225": "TJ_Ford", "5226": "T_Boone_Pickens", "5227": "Tab_Baldwin", "5228": "Tab_Turner", "5229": "Tabare_Vazquez", "5230": "Taha_Yassin_Ramadan", "5231": "Taia_Balk", "5232": "Takahiro_Mori", "5233": "Takaloo", "5234": "Takashi_Sorimachi", "5235": "Takashi_Yamamoto", "5236": "Takenori_Kanzaki", "5237": "Takeo_Fukui", "5238": "Takeo_Hiranuma", "5239": "Takeshi_Kitano", "5240": "Taku_Yamasaki", "5241": "Takuma_Sato", "5242": "Talal_Keenaan", "5243": "Tali_Imani", "5244": "Talisa_Bratt", "5245": "Talisa_Soto", "5246": "Tamara_Brooks", "5247": "Tamara_Mowry", "5248": "Tamara_Stokes", "5249": "Tamika_Catchings", "5250": "Tammy_Helm", "5251": "Tammy_Lynn_Michaels", "5252": "Tang_Jiaxuan", "5253": "Tangra_Riggle", "5254": "Tanya_Holyk", "5255": "Tanya_Lindenmuth", "5256": "Taoufik_Mathlouthi", "5257": "Tara_Dawn_Christensen", "5258": "Tara_Kirk", "5259": "Tara_Reid", "5260": "Tara_VanDerveer", "5261": "Tariq_Aziz", "5262": "Tassos_Papadopoulos", "5263": "Tatiana_Gratcheva", "5264": "Tatiana_Kennedy_Schlossberg", "5265": "Tatiana_Panova", "5266": "Tatiana_Paus", "5267": "Tatiana_Shchegoleva", "5268": "Tatjana_Gsell", "5269": "Tatsuya_Fuji", "5270": "Tatyana_Tomashova", "5271": "Taufik_Hidayat", "5272": "Taufik_Kiemas", "5273": "Tavis_Smiley", "5274": "Taylor_Twellman", "5275": "Taylyn_Solomon", "5276": "Tayshaun_Prince", "5277": "Tayyeb_Abdel_Rahim", "5278": "Ted_Christopher", "5279": "Ted_Costa", "5280": "Ted_Maher", "5281": "Ted_Nolan", "5282": "Ted_Turner", "5283": "Ted_Washington", "5284": "Ted_Williams", "5285": "Teddy_Kollek", "5286": "Terence_Newman", "5287": "Teresa_Graves", "5288": "Teresa_Heinz_Kerry", "5289": "Teresa_Williams", "5290": "Teresa_Worbis", "5291": "Teri_Files", "5292": "Teri_Garr", "5293": "Teri_ORourke", "5294": "Terje_Roed-Larsen", "5295": "Terrell_Suggs", "5296": "Terrence_Kiel", "5297": "Terrence_Trammell", "5298": "Terri_Clark", "5299": "Terry_Bradshaw", "5300": "Terry_Gilliam", "5301": "Terry_Hoeppner", "5302": "Terry_Lynn_Barton", "5303": "Terry_McAuliffe", "5304": "Terry_Semel", "5305": "Terry_Stotts", "5306": "Teruaki_Masumoto", "5307": "Terunobu_Maeda", "5308": "Tessa_Jowell", "5309": "Tex_Ritter", "5310": "Thabo_Mbeki", "5311": "Thad_Matta", "5312": "Thaksin_Shinawatra", "5313": "Thalia", "5314": "Thanongsak_Tuvinan", "5315": "Theo_Angelopoulos", "5316": "Theo_Epstein", "5317": "Theodore_Tweed_Roosevelt", "5318": "Theresa_Gattung", "5319": "Theresa_May", "5320": "Thierry_Falise", "5321": "Thierry_Mariani", "5322": "Thomas_Birmingham", "5323": "Thomas_Bjorn", "5324": "Thomas_Cloyd", "5325": "Thomas_Daily", "5326": "Thomas_Day", "5327": "Thomas_Enqvist", "5328": "Thomas_Fargo", "5329": "Thomas_Ferguson", "5330": "Thomas_Franklin", "5331": "Thomas_Gottschalk", "5332": "Thomas_Haeggstroem", "5333": "Thomas_Kelly", "5334": "Thomas_Klestil", "5335": "Thomas_Malchow", "5336": "Thomas_Manger", "5337": "Thomas_Mesereau_Jr", "5338": "Thomas_OBrien", "5339": "Thomas_Rupprath", "5340": "Thomas_Scavone", "5341": "Thomas_Stewart", "5342": "Thomas_Ulrich", "5343": "Thomas_Van_Essen", "5344": "Thomas_Watjen", "5345": "Thomas_Weston", "5346": "Thomas_Wilkens", "5347": "Thomas_Wyman", "5348": "Thor_Pedersen", "5349": "Tia_Mowry", "5350": "Tiago_Splitter", "5351": "Tian_Liang", "5352": "Tian_Zhuang_Zhuang", "5353": "Tiffany_Limos", "5354": "Tiger_Woods", "5355": "Tim_Allen", "5356": "Tim_Blake_Nelson", "5357": "Tim_Chapman", "5358": "Tim_Conway", "5359": "Tim_Curley", "5360": "Tim_Curry", "5361": "Tim_Duncan", "5362": "Tim_Floyd", "5363": "Tim_Henman", "5364": "Tim_Howard", "5365": "Tim_Jones", "5366": "Tim_Lobinger", "5367": "Tim_Lopes", "5368": "Tim_Matheson", "5369": "Tim_Norbeck", "5370": "Tim_Pawlenty", "5371": "Tim_Robbins", "5372": "Tim_Salmon", "5373": "Tim_Welsh", "5374": "Timbul_Silaen", "5375": "Timothy_Coughlin", "5376": "Timothy_Goebel", "5377": "Timothy_McVeigh", "5378": "Timothy_Rigas", "5379": "Timothy_Wirth", "5380": "Tina_Andrews", "5381": "Tina_Brown", "5382": "Tina_Conner", "5383": "Tina_Fey", "5384": "Tina_Pisnik", "5385": "Tina_Sinatra", "5386": "Tino_Martinez", "5387": "Tippi_Hedren", "5388": "Tirunesh_Dibaba", "5389": "Toby_Keith", "5390": "Tocker_Pudwill", "5391": "Todd_Haynes", "5392": "Todd_MacCulloch", "5393": "Todd_Parrott", "5394": "Todd_Petit", "5395": "Todd_Reid", "5396": "Todd_Robbins", "5397": "Todd_Wike", "5398": "Tom_Amstutz", "5399": "Tom_Brady", "5400": "Tom_Brennan", "5401": "Tom_Christerson", "5402": "Tom_Coughlin", "5403": "Tom_Coverdale", "5404": "Tom_Craddick", "5405": "Tom_Crean", "5406": "Tom_Cruise", "5407": "Tom_Curley", "5408": "Tom_Daschle", "5409": "Tom_DeLay", "5410": "Tom_Foy", "5411": "Tom_Gamboa", "5412": "Tom_Glavine", "5413": "Tom_Hanks", "5414": "Tom_Hanusik", "5415": "Tom_Harkin", "5416": "Tom_Izzo", "5417": "Tom_Jones", "5418": "Tom_Kelly", "5419": "Tom_Koenigs", "5420": "Tom_Lantos", "5421": "Tom_McClintock", "5422": "Tom_Miller", "5423": "Tom_Moss", "5424": "Tom_OBrien", "5425": "Tom_Osborne", "5426": "Tom_Poston", "5427": "Tom_Reilly", "5428": "Tom_Ridge", "5429": "Tom_Rouen", "5430": "Tom_Schnackenberg", "5431": "Tom_Scully", "5432": "Tom_Sizemore", "5433": "Tom_Smothers", "5434": "Tom_Tunney", "5435": "Tom_Vilsack", "5436": "Tom_Watson", "5437": "Tom_Welch", "5438": "Tomas_Enge", "5439": "Tomas_Malik", "5440": "Tommy_Amaker", "5441": "Tommy_Franks", "5442": "Tommy_Haas", "5443": "Tommy_Lasorda", "5444": "Tommy_Lewis", "5445": "Tommy_Maddox", "5446": "Tommy_Robredo", "5447": "Tommy_Shane_Steiner", "5448": "Tommy_Thompson", "5449": "Tommy_Tubberville", "5450": "Tomoko_Hagiwara", "5451": "Tomomi_Morita", "5452": "Tonga", "5453": "Toni_Braxton", "5454": "Toni_Jennings", "5455": "Tonino_Guerra", "5456": "Tono_Suratman", "5457": "Tony_Bennett", "5458": "Tony_Blair", "5459": "Tony_Clement", "5460": "Tony_Cummo", "5461": "Tony_Curtis", "5462": "Tony_Elias", "5463": "Tony_Fernandes", "5464": "Tony_LaRussa", "5465": "Tony_Parker", "5466": "Tony_Shalhoub", "5467": "Tony_Stewart", "5468": "Tonya_Payne", "5469": "Tora_Takagi", "5470": "Tori_Amos", "5471": "Torri_Edwards", "5472": "Toshi_Izawa", "5473": "Toshihiko_Fukui", "5474": "Toshimitsu_Motegi", "5475": "Toutai_Kefu", "5476": "Tracee_Ellis_Ross", "5477": "Tracee_Treadwell", "5478": "Tracy_McGrady", "5479": "Tracy_Wyle", "5480": "Travis_Rudolph", "5481": "Trent_Lott", "5482": "Trevor_McDonald", "5483": "Trevor_Watson", "5484": "Trisha_Meili", "5485": "Trista_Rehn", "5486": "Tristan_Gretzky", "5487": "Troy_Aikman", "5488": "Troy_Garity", "5489": "Troy_Hudson", "5490": "Troy_Jenkins", "5491": "Troy_Polamalu", "5492": "Trudi_Lacey", "5493": "Tsutomu_Takebe", "5494": "Tubby_Smith", "5495": "Tuncay_Sanli", "5496": "Tung_Chee-hwa", "5497": "Turner_Gill", "5498": "Turner_Stevenson", "5499": "Ty_Votaw", "5500": "Tyler_Grillo", "5501": "Tyler_Hamilton", "5502": "Tyra_Banks", "5503": "Tyron_Garner", "5504": "Tyrone_Medley", "5505": "Tzipora_Obziler", "5506": "Uday_Hussein", "5507": "Ulrich_Kueperkoch", "5508": "Uma_Thurman", "5509": "Uri_Lopolianski", "5510": "Urmila_Matondkar", "5511": "Uthai_Pimchaichon", "5512": "Uzi_Even", "5513": "Uzi_Landau", "5514": "Vaclav_Havel", "5515": "Vaclav_Klaus", "5516": "Vadim_Devyatovskiy", "5517": "Vadim_Strogalev", "5518": "Vagit_Alekperov", "5519": "Val_Ackerman", "5520": "Valdas_Adamkus", "5521": "Valentina_Cervi", "5522": "Valentina_Tereshkova", "5523": "Valentino_Rossi", "5524": "Valeri_Bure", "5525": "Valerie_Harper", "5526": "Valerie_Thwaites", "5527": "Valery_Giscard_dEstaing", "5528": "Valorie_Brabazon", "5529": "Van_Hilley", "5530": "Vanessa_Incontrada", "5531": "Vanessa_Laine", "5532": "Vanessa_Redgrave", "5533": "Vanessa_Williams", "5534": "Vassilis_Xiros", "5535": "Vecdi_Gonul", "5536": "Venus_Williams", "5537": "Vernon_Forrest", "5538": "Veronica_Lake", "5539": "Viara_Vike-Freiberga", "5540": "Vicente_Fernandez", "5541": "Vicente_Fox", "5542": "Vicente_Fox_de_la_Concha", "5543": "Vicki_Zhao_Wei", "5544": "Victor_Garber", "5545": "Victor_Hanescu", "5546": "Victor_Kraatz", "5547": "Victoria_Beckham", "5548": "Victoria_Clarke", "5549": "Vidar_Helgesen", "5550": "Vijay_Nambiar", "5551": "Viktor_Yushchenko", "5552": "Vin_Diesel", "5553": "Vince_Carter", "5554": "Vince_Dooley", "5555": "Vince_Gill", "5556": "Vince_Vaughan", "5557": "Vincent_Brooks", "5558": "Vincent_Cianci_Jr", "5559": "Vincent_Gallo", "5560": "Vincent_Sombrotto", "5561": "Vincent_Spadea", "5562": "Vinnie_Jones", "5563": "Viola_Davis", "5564": "Virgina_Ruano_Pascal", "5565": "Vitali_Klitschko", "5566": "Vivica_Fox", "5567": "Vladimir_Golovlyov", "5568": "Vladimir_Meciar", "5569": "Vladimir_Putin", "5570": "Vladimir_Spidla", "5571": "Vladimir_Ustinov", "5572": "Vladimir_Voltchkov", "5573": "Vladimiro_Montesinos", "5574": "Vojislav_Kostunica", "5575": "Vojislav_Seselj", "5576": "Vyacheslav_Fetisov", "5577": "Vytas_Danelius", "5578": "Walid_Al-Awadi", "5579": "Wallace_Capel", "5580": "Wally_Szczerbiak", "5581": "Walt_Harris", "5582": "Walter_Annenberg", "5583": "Walter_Mondale", "5584": "Walter_Woods", "5585": "Wan_Yanhai", "5586": "Wanda_Ilene_Barzee", "5587": "Wanda_de_la_Jesus", "5588": "Wang_Fei", "5589": "Wang_Hailan", "5590": "Wang_Nan", "5591": "Wang_Yi", "5592": "Wang_Yingfan", "5593": "Ward_Cuff", "5594": "Warren_Beatty", "5595": "Warren_Buffett", "5596": "Warren_Granados", "5597": "Warren_Truss", "5598": "Wayne_Allard", "5599": "Wayne_Brady", "5600": "Wayne_Ferreira", "5601": "Wayne_Gretzky", "5602": "Wayne_Newton", "5603": "Wei_Wu", "5604": "Wen_Ho_Lee", "5605": "Wen_Jiabao", "5606": "Wendell_Bryant", "5607": "Wendy_Kennedy", "5608": "Wendy_Selig", "5609": "Werner_Schlager", "5610": "Wes_Craven", "5611": "Wesley_Clark", "5612": "Whoopi_Goldberg", "5613": "Wilbert_Elki_Meza_Majino", "5614": "Wilbert_Foy", "5615": "Wilfredo_Moreno", "5616": "Will_Ferrell", "5617": "Will_Ofenheusle", "5618": "Will_Self", "5619": "Will_Smith", "5620": "Will_Young", "5621": "William_Bratton", "5622": "William_Bulger", "5623": "William_Burns", "5624": "William_Cocksedge", "5625": "William_Delahunt", "5626": "William_Donaldson", "5627": "William_Ford_Jr", "5628": "William_Genego", "5629": "William_Harrison", "5630": "William_Hochul", "5631": "William_Hurt", "5632": "William_Hyde", "5633": "William_Jackson", "5634": "William_Joppy", "5635": "William_Macy", "5636": "William_Martin", "5637": "William_McDonough", "5638": "William_Morrow", "5639": "William_Murabito", "5640": "William_Nessen", "5641": "William_Overlin", "5642": "William_Perry", "5643": "William_Pryor_Jr", "5644": "William_Ragland", "5645": "William_Rehnquist", "5646": "William_Rosenberg", "5647": "William_Shatner", "5648": "William_Swor", "5649": "William_Umbach", "5650": "William_Webster", "5651": "Willie_Nelson", "5652": "Willie_Wilson", "5653": "Willis_Roberts", "5654": "Wilma_McNabb", "5655": "Wilson_Alvarez", "5656": "Wilton_Gregory", "5657": "Wim_Duisenberg", "5658": "Win_Aung", "5659": "Winona_Ryder", "5660": "Winston_Churchill", "5661": "Wolfgang_Becker", "5662": "Wolfgang_Clement", "5663": "Wolfgang_Schneiderhan", "5664": "Wolfgang_Schuessel", "5665": "Wolfgang_Schwarz", "5666": "Woodrow_Stanley", "5667": "Woody_Allen", "5668": "Wu_Peng", "5669": "Wu_Yi", "5670": "Wycliffe_Grousbeck", "5671": "Xanana_Gusmao", "5672": "Xavier_Malisse", "5673": "Xiang_Huaicheng", "5674": "Xiang_Liu", "5675": "Xiang_Xu", "5676": "Ximena_Bohorquez", "5677": "Yale_Kamisar", "5678": "Yana_Klochkova", "5679": "Yang_Hee_Kim", "5680": "Yang_Jianli", "5681": "Yang_Pao-yu", "5682": "Yann_Martel", "5683": "Yannos_Papantoniou", "5684": "Yao_Ming", "5685": "Yasar_Yakis", "5686": "Yasein_Taher", "5687": "Yashwant_Sinha", "5688": "Yasser_Arafat", "5689": "Yasushi_Akashi", "5690": "Yasushi_Chimura", "5691": "Yekaterina_Guseva", "5692": "Yevgeny_Kafelnikov", "5693": "Yingfan_Wang", "5694": "Yishan_Zhang", "5695": "Yoelbi_Quesada", "5696": "Yogi_Berra", "5697": "Yoko_Ono", "5698": "Yolanda_King", "5699": "Yoo_Jay-Kun", "5700": "Yoon_Jeong_Cho", "5701": "Yoon_Jin-Sik", "5702": "Yoon_Won-Sik", "5703": "Yoon_Young-kwan", "5704": "Yoriko_Kawaguchi", "5705": "Yory_Boy_Campas", "5706": "Yoshiyuki_Kamei", "5707": "Yossi_Beilin", "5708": "Young_Kim", "5709": "Yu_Shyi-kun", "5710": "Yukiko_Okudo", "5711": "Yukio_Hatoyama", "5712": "Yuri_Fedotov", "5713": "Yuri_Luzhkov", "5714": "Yuri_Malenchenko", "5715": "Yusaku_Miyazato", "5716": "Yusuf_Misbac", "5717": "Yuvraj_Singh", "5718": "Yves_Brodeur", "5719": "Zach_Parise", "5720": "Zach_Pillar", "5721": "Zach_Safrin", "5722": "Zafarullah_Khan_Jamali", "5723": "Zahir_Shah", "5724": "Zaini_Abdullah", "5725": "Zakia_Hakki", "5726": "Zalmay_Khalilzad", "5727": "Zara_Akhmadova", "5728": "Zarai_Toledo", "5729": "Zavad_Zarif", "5730": "Zdravko_Mucic", "5731": "Zeljko_Rebraca", "5732": "Zelma_Novelo", "5733": "Zeng_Qinghong", "5734": "Zhang_Wenkang", "5735": "Zhang_Yimou", "5736": "Zhang_Ziyi", "5737": "Zhong_Nanshan", "5738": "Zhu_Rongji", "5739": "Zico", "5740": "Zinedine_Zidane", "5741": "Ziwang_Xu", "5742": "Zoe_Ball", "5743": "Zoran_Djindjic", "5744": "Zorica_Radovic", "5745": "Zulfiqar_Ahmed", "5746": "Zumrati_Juma", "5747": "Zurab_Tsereteli", "5748": "Zydrunas_Ilgauskas"}}}}], "splits": [{"name": "train", "num_bytes": 117525661.223, "num_examples": 13233}], "download_size": 116119145, "dataset_size": 117525661.223}}
2024-02-02T20:35:31+00:00
[]
[]
TAGS #region-us
# Dataset Card for "asfijioasfwlf" More Information needed
[ "# Dataset Card for \"asfijioasfwlf\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"asfijioasfwlf\"\n\nMore Information needed" ]
[ 6, 18 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"asfijioasfwlf\"\n\nMore Information needed" ]
e701302011899d8b61da5ef5082841ab576ed370
# Dataset Card for "textbook_gen6" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
vikp/textbook_gen6
[ "region:us" ]
2023-10-07T14:16:06+00:00
{"dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "eos", "dtype": "bool"}, {"name": "kind", "dtype": "string"}, {"name": "topic", "dtype": "string"}, {"name": "model", "dtype": "string"}, {"name": "combined", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2488746746.5148544, "num_examples": 71313}], "download_size": 1040296902, "dataset_size": 2488746746.5148544}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
2023-10-07T19:45:57+00:00
[]
[]
TAGS #region-us
# Dataset Card for "textbook_gen6" More Information needed
[ "# Dataset Card for \"textbook_gen6\"\n\nMore Information needed" ]
[ "TAGS\n#region-us \n", "# Dataset Card for \"textbook_gen6\"\n\nMore Information needed" ]
[ 6, 15 ]
[ "passage: TAGS\n#region-us \n# Dataset Card for \"textbook_gen6\"\n\nMore Information needed" ]