hub_id
large_string | config_name
large_string | likes
int64 | downloads
int64 | tags
large_string | language
large_string | license
large_string | created_at
timestamp[us] | last_modified
timestamp[us] | features
large_string | version
large_string |
|---|---|---|---|---|---|---|---|---|---|---|
Harshvardhan27/TLDR_Fine_Tuned_Mistral_Final_Model
|
default
| 0 | 42 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-03-05T19:27:02 | 2024-03-05T19:27:04 |
[{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}]
|
{}
|
DT4LM/debertav3base_snli_pair_clare_original
|
default
| 0 | 32 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-06-02T00:55:39 | 2024-06-02T00:55:42 |
[{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int32"}]
|
{}
|
amuvarma/1k-crossmodal-0-dups
|
default
| 0 | 33 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-21T19:36:16 | 2024-09-21T19:36:33 |
[{"name": "transcript", "dtype": "string"}, {"name": "audio_tokens", "sequence": "int64"}, {"name": "input_ids", "sequence": "int32"}, {"name": "type", "dtype": "string"}, {"name": "attention_mask", "sequence": "int8"}]
|
{}
|
haorandai/New_Noise_Fruit_20Samples_epsilon_0.05_alpha_0.01_With20Constraints
|
default
| 0 | 32 |
["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-10-04T02:23:13 | 2024-10-04T02:23:15 |
[{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}]
|
{}
|
dhruvnathawani/gretelai_synthetic-gsm8k-reflection-405b_validated_with_o1-preview_validation_only
|
default
| 0 | 39 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-10-22T19:16:05 | 2024-10-22T19:44:15 |
[{"name": "difficulty", "dtype": "string"}, {"name": "difficulty_description", "dtype": "string"}, {"name": "topic", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "age_group", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "answer_with_tags", "dtype": "string"}, {"name": "validation", "dtype": "string"}]
|
{}
|
hasanbahadir/ihale_dataset2
|
default
| 0 | 33 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-06-30T13:09:49 | 2024-06-30T13:10:02 |
[{"name": "text", "dtype": "string"}]
|
{}
|
junyeong-nero/jeju-dialect-to-standard
|
default
| 0 | 56 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-22T06:01:14 | 2024-12-22T06:06:10 |
[{"name": "standard", "dtype": "string"}, {"name": "dialect", "dtype": "string"}]
|
{}
|
ferrazzipietro/LS_Llama-3.1-8B_e3c-sentences-sk-unrevised_NoQuant_16_16_0.05_64_BestF1
|
default
| 0 | 39 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-25T11:14:54 | 2024-11-25T14:01:50 |
[{"name": "sentence", "dtype": "string"}, {"name": "entities", "list": [{"name": "offsets", "sequence": "int64"}, {"name": "text", "dtype": "string"}, {"name": "type", "dtype": "string"}]}, {"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": "int64"}, {"name": "ground_truth_word_level", "sequence": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}, {"name": "predictions", "sequence": "string"}, {"name": "ground_truth_labels", "sequence": "string"}]
|
{}
|
RyanYr/reflect_nonGenCritic_mini8B_Om2G8kOm2AgG8k40k_iPSDP_it1_t2_dpo
|
default
| 0 | 24 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-06T20:48:13 | 2025-01-06T20:48:15 |
[{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "comment", "dtype": "string"}]
|
{}
|
math-extraction-comp/SenseLLM__ReflectionCoder-DS-33B
|
default
| 0 | 27 |
["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-10T16:57:15 | 2025-01-11T22:02:11 |
[{"name": "question", "dtype": "string"}, {"name": "gold", "dtype": "string"}, {"name": "target", "dtype": "string"}, {"name": "prediction", "dtype": "string"}, {"name": "subset", "dtype": "string"}, {"name": "lighteval-c24870ea_extracted_answer", "dtype": "string"}, {"name": "lighteval-c24870ea_score", "dtype": "float64"}, {"name": "harness_score", "dtype": "float64"}, {"name": "qwen_extracted_answer", "dtype": "string"}, {"name": "lighteval-0f21c935_score", "dtype": "float64"}, {"name": "qwen_score", "dtype": "float64"}, {"name": "lighteval-0f21c935_extracted_answer", "dtype": "string"}, {"name": "harness_extracted_answer", "dtype": "string"}]
|
{}
|
svjack/Genshin-Impact-Plot-Engine-Step-Inst-Json
|
default
| 0 | 20 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-05-28T17:23:27 | 2024-05-28T17:23:35 |
[{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}]
|
{}
|
tmpmodelsave/fixed_beta05_llama3_sft_math_type1_3ktype2_8ktype4_and_7ktype3_no_sft_loss350tmp10
|
default
| 0 | 11 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-16T04:32:34 | 2025-01-16T04:32:35 |
[{"name": "idx", "dtype": "int64"}, {"name": "gt", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "level", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "solution", "dtype": "string"}, {"name": "my_solu", "sequence": "string"}, {"name": "pred", "sequence": "string"}, {"name": "rewards", "sequence": "bool"}]
|
{}
|
1rsh/speech-qa-braj-hi-karya
|
default
| 0 | 31 |
["size_categories:n<1K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-02-09T07:33:34 | 2024-02-09T08:43:04 |
[{"name": "audio", "dtype": "audio"}, {"name": "sentence", "dtype": "string"}]
|
{}
|
ShenaoZ/0.001_ablation_4iters_bs256_declr_dataset
|
default
| 0 | 33 |
["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-04-22T20:57:07 | 2024-04-23T06:53:59 |
[{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "score_chosen", "dtype": "float64"}, {"name": "score_rejected", "dtype": "float64"}, {"name": "reference_response", "dtype": "string"}, {"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}]
|
{}
|
khairi/pubmed-text-06
|
default
| 0 | 44 |
["size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-02T01:04:14 | 2024-12-02T01:48:21 |
[{"name": "pubMedId", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "abstract", "dtype": "string"}]
|
{}
|
martijn75/COHeN
|
default
| 0 | 33 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-08T12:33:35 | 2025-01-10T08:54:44 |
[{"name": "Text", "dtype": "string"}, {"name": "Stage", "dtype": {"class_label": {"names": {"0": "ABH", "1": "CBH", "2": "TBH", "3": "LBH"}}}}]
|
{}
|
shirastromer/supermarket-receipts
|
default
| 0 | 32 |
["license:apache-2.0", "size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
"apache-2.0"
| 2024-07-21T18:54:00 | 2024-08-09T20:10:59 |
[{"name": "image", "dtype": "image"}, {"name": "receiptId", "dtype": "string"}, {"name": "text", "dtype": "string"}]
|
{}
|
celsowm/cnn_news_ptbr
|
default
| 3 | 48 |
["task_categories:text-classification", "language:pt", "license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
["pt"]
|
"apache-2.0"
| 2023-11-04T13:04:04 | 2024-04-30T18:42:46 |
[{"name": "titulo", "dtype": "string"}, {"name": "texto", "dtype": "string"}, {"name": "link", "dtype": "string"}, {"name": "resumo", "dtype": "string"}, {"name": "categoria", "dtype": "string"}, {"name": "data_hora", "dtype": "string"}]
|
{}
|
vvtq/control_val_10
|
default
| 0 | 32 |
["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-06-16T06:15:26 | 2023-06-16T06:15:27 |
[{"name": "image", "dtype": "image"}, {"name": "noised", "dtype": "image"}, {"name": "image_caption", "dtype": "string"}]
|
{}
|
vitruv/report_simplify
|
default
| 0 | 30 |
["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-02-14T23:07:28 | 2024-02-15T00:35:04 |
[{"name": "name", "sequence": "string"}, {"name": "time", "sequence": "int64"}, {"name": "score", "sequence": "int64"}, {"name": "time_mean", "dtype": "float64"}, {"name": "score_mean", "dtype": "float64"}, {"name": "time_median", "dtype": "int64"}, {"name": "score_median", "dtype": "int64"}, {"name": "prompt", "dtype": "string"}]
|
{}
|
joey234/mmlu-jurisprudence-verbal-neg-prepend
|
default
| 1 | 34 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-04-27T02:02:56 | 2023-04-27T03:20:53 |
[{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}]
|
{}
|
mlfoundations-dev/oh_v3.1_wo_camel_ai_math
|
default
| 0 | 41 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-26T07:22:59 | 2024-11-26T07:23:41 |
[{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "source_label_exact", "sequence": "string"}]
|
{}
|
RyanYr/reflect_nonGenCritic_mini8B_Om2G8kOm2AgG8k40k_iPSDP_it1_t0_dpo
|
default
| 0 | 22 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-06T20:47:48 | 2025-01-06T20:47:50 |
[{"name": "prompt", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "comment", "dtype": "string"}]
|
{}
|
Lots-of-LoRAs/task335_hateeval_classification_aggresive_en
|
plain_text
| 0 | 41 |
["task_categories:text-generation", "annotations_creators:crowdsourced", "language_creators:crowdsourced", "language:en", "license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "arxiv:2204.07705", "arxiv:2407.00066", "region:us"]
|
["en"]
|
["apache-2.0"]
| 2024-07-03T21:30:45 | 2024-07-16T13:27:57 |
[{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "id", "dtype": "string"}]
|
{}
|
cestwc/hdb-test-set-prediction-1128-geo-cate
|
default
| 0 | 38 |
["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-28T17:15:36 | 2024-11-28T17:16:20 |
[{"name": "local_created_at", "dtype": "string"}, {"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "truncated", "dtype": "bool"}, {"name": "in_reply_to_status_id", "dtype": "float32"}, {"name": "in_reply_to_user_id", "dtype": "float32"}, {"name": "user_location", "dtype": "string"}, {"name": "user_url", "dtype": "string"}, {"name": "user_followers_count", "dtype": "int64"}, {"name": "user_friends_count", "dtype": "int64"}, {"name": "user_listed_count", "dtype": "int64"}, {"name": "user_favourites_count", "dtype": "int64"}, {"name": "user_statuses_count", "dtype": "int64"}, {"name": "local_user_created_at", "dtype": "string"}, {"name": "place_id", "dtype": "string"}, {"name": "place_url", "dtype": "string"}, {"name": "place_place_type", "dtype": "string"}, {"name": "place_name", "dtype": "string"}, {"name": "place_country_code", "dtype": "string"}, {"name": "place_bounding_box_type", "dtype": "string"}, {"name": "place_bounding_box_coordinates", "dtype": "string"}, {"name": "is_quote_status", "dtype": "bool"}, {"name": "retweet_count", "dtype": "int64"}, {"name": "favorite_count", "dtype": "int64"}, {"name": "entities_hashtags", "dtype": "string"}, {"name": "entities_urls", "dtype": "string"}, {"name": "entities_symbols", "dtype": "string"}, {"name": "entities_user_mentions", "dtype": "string"}, {"name": "favorited", "dtype": "bool"}, {"name": "retweeted", "dtype": "bool"}, {"name": "possibly_sensitive", "dtype": "bool"}, {"name": "lang", "dtype": "string"}, {"name": "latitude", "dtype": "float32"}, {"name": "longitude", "dtype": "float32"}, {"name": "year_created_at", "dtype": "int64"}, {"name": "month_created_at", "dtype": "int64"}, {"name": "day_created_at", "dtype": "int64"}, {"name": "weekday_created_at", "dtype": "int64"}, {"name": "hour_created_at", "dtype": "int64"}, {"name": "minute_created_at", "dtype": "int64"}, {"name": "year_user_created_at", "dtype": "int64"}, {"name": "month_user_created_at", "dtype": "int64"}, {"name": "day_user_created_at", "dtype": "int64"}, {"name": "weekday_user_created_at", "dtype": "int64"}, {"name": "hour_user_created_at", "dtype": "int64"}, {"name": "minute_user_created_at", "dtype": "int64"}, {"name": "subzone", "dtype": "string"}, {"name": "planning_area", "dtype": "string"}, {"name": "poi_flag", "dtype": "float32"}, {"name": "poi_id", "dtype": "string"}, {"name": "poi_dist", "dtype": "float32"}, {"name": "poi_latitude", "dtype": "float32"}, {"name": "poi_longitude", "dtype": "float32"}, {"name": "poi_name", "dtype": "string"}, {"name": "poi_type", "dtype": "string"}, {"name": "poi_cate2", "dtype": "string"}, {"name": "poi_cate3", "dtype": "string"}, {"name": "clean_text", "dtype": "string"}, {"name": "joy_score", "dtype": "float32"}, {"name": "trust_score", "dtype": "float32"}, {"name": "positive_score", "dtype": "float32"}, {"name": "sadness_score", "dtype": "float32"}, {"name": "disgust_score", "dtype": "float32"}, {"name": "anger_score", "dtype": "float32"}, {"name": "anticipation_score", "dtype": "float32"}, {"name": "negative_score", "dtype": "float32"}, {"name": "fear_score", "dtype": "float32"}, {"name": "surprise_score", "dtype": "float32"}, {"name": "words", "dtype": "string"}, {"name": "polarity_score", "dtype": "float32"}, {"name": "manual_label_1", "dtype": "int64"}, {"name": "T0_q1", "dtype": "int64"}, {"name": "bart_mnli", "dtype": "float32"}, {"name": "T0_q2", "dtype": "int64"}, {"name": "num_keywords", "dtype": "int64"}, {"name": "preprocess-1", "dtype": "string"}, {"name": "preprocess-2", "dtype": "string"}, {"name": "llama", "dtype": "int64"}, {"name": "clabel", "dtype": "bool"}, {"name": "llama-2", "dtype": "string"}, {"name": "relatedness", "dtype": "float64"}, {"name": "label", "dtype": "float64"}, {"name": "ecategory", "dtype": "int64"}, {"name": "llama-2-category", "dtype": "string"}, {"name": "PA", "dtype": "int64"}, {"name": "PA_pred_prob", "sequence": "float64"}, {"name": "category-prediction-1128", "dtype": "int64"}, {"name": "CATE_prob-1128", "sequence": "float64"}]
|
{}
|
krishi/tartan10
|
default
| 0 | 32 |
["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-08-22T04:53:43 | 2023-08-22T04:53:51 |
[{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}]
|
{}
|
polyglots/Sinhala-NER
|
default
| 0 | 35 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-07-29T17:23:56 | 2024-07-29T17:24:00 |
[{"name": "input", "sequence": "string"}, {"name": "output", "sequence": "string"}, {"name": "instructions", "dtype": "string"}]
|
{}
|
marcov/scan_length_promptsource
|
default
| 0 | 40 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-28T22:14:29 | 2024-11-28T22:14:41 |
[{"name": "commands", "dtype": "string"}, {"name": "actions", "dtype": "string"}, {"name": "template_name", "dtype": "string"}, {"name": "template", "dtype": "string"}, {"name": "rendered_input", "dtype": "string"}, {"name": "rendered_output", "dtype": "string"}]
|
{}
|
AtharvA7k/ClArTTS
|
default
| 0 | 41 |
["license:cc-by-4.0", "size_categories:10K<n<100K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "arxiv:2303.00069", "region:us"]
|
null
|
"cc-by-4.0"
| 2024-04-17T12:58:23 | 2024-04-18T08:23:32 |
[{"name": "audio", "dtype": "audio"}, {"name": "transcription", "dtype": "string"}]
|
{}
|
taufiqdp/indo-senti-clean
|
default
| 0 | 51 |
["license:mit", "size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
"mit"
| 2024-03-13T05:36:37 | 2024-03-13T05:41:13 |
[{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "neutral", "2": "positive"}}}}]
|
{}
|
Lots-of-LoRAs/task471_haspart_answer_generation
|
plain_text
| 0 | 26 |
["task_categories:text-generation", "annotations_creators:crowdsourced", "language_creators:crowdsourced", "language:en", "license:apache-2.0", "size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "arxiv:2204.07705", "arxiv:2407.00066", "region:us"]
|
["en"]
|
["apache-2.0"]
| 2025-01-01T14:05:26 | 2025-01-01T14:05:29 |
[{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "id", "dtype": "string"}]
|
{}
|
jonathanjordan21/drugs-composition-indonesian-donut
|
default
| 1 | 43 |
["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-11-06T04:54:01 | 2023-11-06T10:18:13 |
[{"name": "images", "dtype": "image"}, {"name": "labels", "dtype": "string"}]
|
{}
|
Goorm-AI-04/Drone_RCS_Image
|
default
| 0 | 53 |
["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-09-16T10:43:18 | 2023-09-16T10:50:16 |
[{"name": "rcs_image", "dtype": "image"}, {"name": "drone_type", "dtype": "string"}, {"name": "frequency", "dtype": "int64"}]
|
{}
|
LucasThil/miniwob_plusplus_T5_labeled_1084
|
default
| 0 | 32 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-03-03T20:11:27 | 2023-03-03T21:33:52 |
[{"name": "episodes", "dtype": "string"}, {"name": "target_actions", "dtype": "string"}, {"name": "target_refs", "dtype": "int64"}, {"name": "target_text", "dtype": "string"}]
|
{}
|
gogo8232/experiment_perplexity_instruction
|
default
| 0 | 35 |
["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-07-02T03:43:04 | 2024-07-02T03:43:09 |
[{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "instruction_perplexity", "dtype": "float64"}, {"name": "perplexity", "dtype": "float64"}]
|
{}
|
distilled-false-pos-one-sec-cv12/chunk_121
|
default
| 0 | 30 |
["size_categories:100K<n<1M", "format:parquet", "modality:timeseries", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-07-23T19:31:46 | 2024-07-23T19:32:38 |
[{"name": "logits", "sequence": "float32"}, {"name": "mfcc", "sequence": {"sequence": "float64"}}]
|
{}
|
xzhe121/Self_Augmentation_high_quality_examples
|
default
| 0 | 38 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-03T07:42:03 | 2024-11-04T06:29:16 |
[{"name": "instruction", "dtype": "string"}, {"name": "response", "dtype": "string"}]
|
{}
|
alvanlii/reddit-CanadianInvestor
|
year_2024
| 2 | 72 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-08-29T22:00:00 | 2024-12-07T15:02:27 |
[{"name": "id", "dtype": "string"}, {"name": "content", "dtype": "string"}, {"name": "score", "dtype": "int64"}, {"name": "poster", "dtype": "string"}, {"name": "date_utc", "dtype": "timestamp[ns]"}, {"name": "flair", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "permalink", "dtype": "string"}, {"name": "nsfw", "dtype": "bool"}, {"name": "updated", "dtype": "bool"}, {"name": "new", "dtype": "bool"}]
|
{}
|
ahishamm/HAM_db_enhanced_balanced_reduced_50_20_20
|
default
| 0 | 34 |
["size_categories:10K<n<100K", "format:parquet", "modality:image", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-12-03T12:27:54 | 2023-12-03T12:29:19 |
[{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "akiec", "1": "bcc", "2": "bkl", "3": "df", "4": "mel", "5": "nv", "6": "vasc"}}}}]
|
{}
|
LongVILA/slimpajama_encode_qwen2_512k
|
default
| 0 | 39 |
["size_categories:1K<n<10K", "format:parquet", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-27T19:10:10 | 2024-11-27T20:05:55 |
[{"name": "text", "sequence": "int64"}]
|
{}
|
datacomp/imagenet-1k-random-30.0-frac-1over1632
|
default
| 0 | 26 |
["size_categories:100K<n<1M", "format:parquet", "modality:image", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-08T04:50:43 | 2025-01-17T21:41:47 |
[{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "tench, Tinca tinca", "1": "goldfish, Carassius auratus", "2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias", "3": "tiger shark, Galeocerdo cuvieri", "4": "hammerhead, hammerhead shark", "5": "electric ray, crampfish, numbfish, torpedo", "6": "stingray", "7": "cock", "8": "hen", "9": "ostrich, Struthio camelus", "10": "brambling, Fringilla montifringilla", "11": "goldfinch, Carduelis carduelis", "12": "house finch, linnet, Carpodacus mexicanus", "13": "junco, snowbird", "14": "indigo bunting, indigo finch, indigo bird, Passerina cyanea", "15": "robin, American robin, Turdus migratorius", "16": "bulbul", "17": "jay", "18": "magpie", "19": "chickadee", "20": "water ouzel, dipper", "21": "kite", "22": "bald eagle, American eagle, Haliaeetus leucocephalus", "23": "vulture", "24": "great grey owl, great gray owl, Strix nebulosa", "25": "European fire salamander, Salamandra salamandra", "26": "common newt, Triturus vulgaris", "27": "eft", "28": "spotted salamander, Ambystoma maculatum", "29": "axolotl, mud puppy, Ambystoma mexicanum", "30": "bullfrog, Rana catesbeiana", "31": "tree frog, tree-frog", "32": "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui", "33": "loggerhead, loggerhead turtle, Caretta caretta", "34": "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea", "35": "mud turtle", "36": "terrapin", "37": "box turtle, box tortoise", "38": "banded gecko", "39": "common iguana, iguana, Iguana iguana", "40": "American chameleon, anole, Anolis carolinensis", "41": "whiptail, whiptail lizard", "42": "agama", "43": "frilled lizard, Chlamydosaurus kingi", "44": "alligator lizard", "45": "Gila monster, Heloderma suspectum", "46": "green lizard, Lacerta viridis", "47": "African chameleon, Chamaeleo chamaeleon", "48": "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis", "49": "African crocodile, Nile crocodile, Crocodylus niloticus", "50": "American alligator, Alligator mississipiensis", "51": "triceratops", "52": "thunder snake, worm snake, Carphophis amoenus", "53": "ringneck snake, ring-necked snake, ring snake", "54": "hognose snake, puff adder, sand viper", "55": "green snake, grass snake", "56": "king snake, kingsnake", "57": "garter snake, grass snake", "58": "water snake", "59": "vine snake", "60": "night snake, Hypsiglena torquata", "61": "boa constrictor, Constrictor constrictor", "62": "rock python, rock snake, Python sebae", "63": "Indian cobra, Naja naja", "64": "green mamba", "65": "sea snake", "66": "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus", "67": "diamondback, diamondback rattlesnake, Crotalus adamanteus", "68": "sidewinder, horned rattlesnake, Crotalus cerastes", "69": "trilobite", "70": "harvestman, daddy longlegs, Phalangium opilio", "71": "scorpion", "72": "black and gold garden spider, Argiope aurantia", "73": "barn spider, Araneus cavaticus", "74": "garden spider, Aranea diademata", "75": "black widow, Latrodectus mactans", "76": "tarantula", "77": "wolf spider, hunting spider", "78": "tick", "79": "centipede", "80": "black grouse", "81": "ptarmigan", "82": "ruffed grouse, partridge, Bonasa umbellus", "83": "prairie chicken, prairie grouse, prairie fowl", "84": "peacock", "85": "quail", "86": "partridge", "87": "African grey, African gray, Psittacus erithacus", "88": "macaw", "89": "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita", "90": "lorikeet", "91": "coucal", "92": "bee eater", "93": "hornbill", "94": "hummingbird", "95": "jacamar", "96": "toucan", "97": "drake", "98": "red-breasted merganser, Mergus serrator", "99": "goose", "100": "black swan, Cygnus atratus", "101": "tusker", "102": "echidna, spiny anteater, anteater", "103": "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus", "104": "wallaby, brush kangaroo", "105": "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus", "106": "wombat", "107": "jellyfish", "108": "sea anemone, anemone", "109": "brain coral", "110": "flatworm, platyhelminth", "111": "nematode, nematode worm, roundworm", "112": "conch", "113": "snail", "114": "slug", "115": "sea slug, nudibranch", "116": "chiton, coat-of-mail shell, sea cradle, polyplacophore", "117": "chambered nautilus, pearly nautilus, nautilus", "118": "Dungeness crab, Cancer magister", "119": "rock crab, Cancer irroratus", "120": "fiddler crab", "121": "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica", "122": "American lobster, Northern lobster, Maine lobster, Homarus americanus", "123": "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish", "124": "crayfish, crawfish, crawdad, crawdaddy", "125": "hermit crab", "126": "isopod", "127": "white stork, Ciconia ciconia", "128": "black stork, Ciconia nigra", "129": "spoonbill", "130": "flamingo", "131": "little blue heron, Egretta caerulea", "132": "American egret, great white heron, Egretta albus", "133": "bittern", "134": "crane", "135": "limpkin, Aramus pictus", "136": "European gallinule, Porphyrio porphyrio", "137": "American coot, marsh hen, mud hen, water hen, Fulica americana", "138": "bustard", "139": "ruddy turnstone, Arenaria interpres", "140": "red-backed sandpiper, dunlin, Erolia alpina", "141": "redshank, Tringa totanus", "142": "dowitcher", "143": "oystercatcher, oyster catcher", "144": "pelican", "145": "king penguin, Aptenodytes patagonica", "146": "albatross, mollymawk", "147": "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus", "148": "killer whale, killer, orca, grampus, sea wolf, Orcinus orca", "149": "dugong, Dugong dugon", "150": "sea lion", "151": "Chihuahua", "152": "Japanese spaniel", "153": "Maltese dog, Maltese terrier, Maltese", "154": "Pekinese, Pekingese, Peke", "155": "Shih-Tzu", "156": "Blenheim spaniel", "157": "papillon", "158": "toy terrier", "159": "Rhodesian ridgeback", "160": "Afghan hound, Afghan", "161": "basset, basset hound", "162": "beagle", "163": "bloodhound, sleuthhound", "164": "bluetick", "165": "black-and-tan coonhound", "166": "Walker hound, Walker foxhound", "167": "English foxhound", "168": "redbone", "169": "borzoi, Russian wolfhound", "170": "Irish wolfhound", "171": "Italian greyhound", "172": "whippet", "173": "Ibizan hound, Ibizan Podenco", "174": "Norwegian elkhound, elkhound", "175": "otterhound, otter hound", "176": "Saluki, gazelle hound", "177": "Scottish deerhound, deerhound", "178": "Weimaraner", "179": "Staffordshire bullterrier, Staffordshire bull terrier", "180": "American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier", "181": "Bedlington terrier", "182": "Border terrier", "183": "Kerry blue terrier", "184": "Irish terrier", "185": "Norfolk terrier", "186": "Norwich terrier", "187": "Yorkshire terrier", "188": "wire-haired fox terrier", "189": "Lakeland terrier", "190": "Sealyham terrier, Sealyham", "191": "Airedale, Airedale terrier", "192": "cairn, cairn terrier", "193": "Australian terrier", "194": "Dandie Dinmont, Dandie Dinmont terrier", "195": "Boston bull, Boston terrier", "196": "miniature schnauzer", "197": "giant schnauzer", "198": "standard schnauzer", "199": "Scotch terrier, Scottish terrier, Scottie", "200": "Tibetan terrier, chrysanthemum dog", "201": "silky terrier, Sydney silky", "202": "soft-coated wheaten terrier", "203": "West Highland white terrier", "204": "Lhasa, Lhasa apso", "205": "flat-coated retriever", "206": "curly-coated retriever", "207": "golden retriever", "208": "Labrador retriever", "209": "Chesapeake Bay retriever", "210": "German short-haired pointer", "211": "vizsla, Hungarian pointer", "212": "English setter", "213": "Irish setter, red setter", "214": "Gordon setter", "215": "Brittany spaniel", "216": "clumber, clumber spaniel", "217": "English springer, English springer spaniel", "218": "Welsh springer spaniel", "219": "cocker spaniel, English cocker spaniel, cocker", "220": "Sussex spaniel", "221": "Irish water spaniel", "222": "kuvasz", "223": "schipperke", "224": "groenendael", "225": "malinois", "226": "briard", "227": "kelpie", "228": "komondor", "229": "Old English sheepdog, bobtail", "230": "Shetland sheepdog, Shetland sheep dog, Shetland", "231": "collie", "232": "Border collie", "233": "Bouvier des Flandres, Bouviers des Flandres", "234": "Rottweiler", "235": "German shepherd, German shepherd dog, German police dog, alsatian", "236": "Doberman, Doberman pinscher", "237": "miniature pinscher", "238": "Greater Swiss Mountain dog", "239": "Bernese mountain dog", "240": "Appenzeller", "241": "EntleBucher", "242": "boxer", "243": "bull mastiff", "244": "Tibetan mastiff", "245": "French bulldog", "246": "Great Dane", "247": "Saint Bernard, St Bernard", "248": "Eskimo dog, husky", "249": "malamute, malemute, Alaskan malamute", "250": "Siberian husky", "251": "dalmatian, coach dog, carriage dog", "252": "affenpinscher, monkey pinscher, monkey dog", "253": "basenji", "254": "pug, pug-dog", "255": "Leonberg", "256": "Newfoundland, Newfoundland dog", "257": "Great Pyrenees", "258": "Samoyed, Samoyede", "259": "Pomeranian", "260": "chow, chow chow", "261": "keeshond", "262": "Brabancon griffon", "263": "Pembroke, Pembroke Welsh corgi", "264": "Cardigan, Cardigan Welsh corgi", "265": "toy poodle", "266": "miniature poodle", "267": "standard poodle", "268": "Mexican hairless", "269": "timber wolf, grey wolf, gray wolf, Canis lupus", "270": "white wolf, Arctic wolf, Canis lupus tundrarum", "271": "red wolf, maned wolf, Canis rufus, Canis niger", "272": "coyote, prairie wolf, brush wolf, Canis latrans", "273": "dingo, warrigal, warragal, Canis dingo", "274": "dhole, Cuon alpinus", "275": "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus", "276": "hyena, hyaena", "277": "red fox, Vulpes vulpes", "278": "kit fox, Vulpes macrotis", "279": "Arctic fox, white fox, Alopex lagopus", "280": "grey fox, gray fox, Urocyon cinereoargenteus", "281": "tabby, tabby cat", "282": "tiger cat", "283": "Persian cat", "284": "Siamese cat, Siamese", "285": "Egyptian cat", "286": "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor", "287": "lynx, catamount", "288": "leopard, Panthera pardus", "289": "snow leopard, ounce, Panthera uncia", "290": "jaguar, panther, Panthera onca, Felis onca", "291": "lion, king of beasts, Panthera leo", "292": "tiger, Panthera tigris", "293": "cheetah, chetah, Acinonyx jubatus", "294": "brown bear, bruin, Ursus arctos", "295": "American black bear, black bear, Ursus americanus, Euarctos americanus", "296": "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus", "297": "sloth bear, Melursus ursinus, Ursus ursinus", "298": "mongoose", "299": "meerkat, mierkat", "300": "tiger beetle", "301": "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle", "302": "ground beetle, carabid beetle", "303": "long-horned beetle, longicorn, longicorn beetle", "304": "leaf beetle, chrysomelid", "305": "dung beetle", "306": "rhinoceros beetle", "307": "weevil", "308": "fly", "309": "bee", "310": "ant, emmet, pismire", "311": "grasshopper, hopper", "312": "cricket", "313": "walking stick, walkingstick, stick insect", "314": "cockroach, roach", "315": "mantis, mantid", "316": "cicada, cicala", "317": "leafhopper", "318": "lacewing, lacewing fly", "319": "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk", "320": "damselfly", "321": "admiral", "322": "ringlet, ringlet butterfly", "323": "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus", "324": "cabbage butterfly", "325": "sulphur butterfly, sulfur butterfly", "326": "lycaenid, lycaenid butterfly", "327": "starfish, sea star", "328": "sea urchin", "329": "sea cucumber, holothurian", "330": "wood rabbit, cottontail, cottontail rabbit", "331": "hare", "332": "Angora, Angora rabbit", "333": "hamster", "334": "porcupine, hedgehog", "335": "fox squirrel, eastern fox squirrel, Sciurus niger", "336": "marmot", "337": "beaver", "338": "guinea pig, Cavia cobaya", "339": "sorrel", "340": "zebra", "341": "hog, pig, grunter, squealer, Sus scrofa", "342": "wild boar, boar, Sus scrofa", "343": "warthog", "344": "hippopotamus, hippo, river horse, Hippopotamus amphibius", "345": "ox", "346": "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis", "347": "bison", "348": "ram, tup", "349": "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis", "350": "ibex, Capra ibex", "351": "hartebeest", "352": "impala, Aepyceros melampus", "353": "gazelle", "354": "Arabian camel, dromedary, Camelus dromedarius", "355": "llama", "356": "weasel", "357": "mink", "358": "polecat, fitch, foulmart, foumart, Mustela putorius", "359": "black-footed ferret, ferret, Mustela nigripes", "360": "otter", "361": "skunk, polecat, wood pussy", "362": "badger", "363": "armadillo", "364": "three-toed sloth, ai, Bradypus tridactylus", "365": "orangutan, orang, orangutang, Pongo pygmaeus", "366": "gorilla, Gorilla gorilla", "367": "chimpanzee, chimp, Pan troglodytes", "368": "gibbon, Hylobates lar", "369": "siamang, Hylobates syndactylus, Symphalangus syndactylus", "370": "guenon, guenon monkey", "371": "patas, hussar monkey, Erythrocebus patas", "372": "baboon", "373": "macaque", "374": "langur", "375": "colobus, colobus monkey", "376": "proboscis monkey, Nasalis larvatus", "377": "marmoset", "378": "capuchin, ringtail, Cebus capucinus", "379": "howler monkey, howler", "380": "titi, titi monkey", "381": "spider monkey, Ateles geoffroyi", "382": "squirrel monkey, Saimiri sciureus", "383": "Madagascar cat, ring-tailed lemur, Lemur catta", "384": "indri, indris, Indri indri, Indri brevicaudatus", "385": "Indian elephant, Elephas maximus", "386": "African elephant, Loxodonta africana", "387": "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens", "388": "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca", "389": "barracouta, snoek", "390": "eel", "391": "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch", "392": "rock beauty, Holocanthus tricolor", "393": "anemone fish", "394": "sturgeon", "395": "gar, garfish, garpike, billfish, Lepisosteus osseus", "396": "lionfish", "397": "puffer, pufferfish, blowfish, globefish", "398": "abacus", "399": "abaya", "400": "academic gown, academic robe, judge's robe", "401": "accordion, piano accordion, squeeze box", "402": "acoustic guitar", "403": "aircraft carrier, carrier, flattop, attack aircraft carrier", "404": "airliner", "405": "airship, dirigible", "406": "altar", "407": "ambulance", "408": "amphibian, amphibious vehicle", "409": "analog clock", "410": "apiary, bee house", "411": "apron", "412": "ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin", "413": "assault rifle, assault gun", "414": "backpack, back pack, knapsack, packsack, rucksack, haversack", "415": "bakery, bakeshop, bakehouse", "416": "balance beam, beam", "417": "balloon", "418": "ballpoint, ballpoint pen, ballpen, Biro", "419": "Band Aid", "420": "banjo", "421": "bannister, banister, balustrade, balusters, handrail", "422": "barbell", "423": "barber chair", "424": "barbershop", "425": "barn", "426": "barometer", "427": "barrel, cask", "428": "barrow, garden cart, lawn cart, wheelbarrow", "429": "baseball", "430": "basketball", "431": "bassinet", "432": "bassoon", "433": "bathing cap, swimming cap", "434": "bath towel", "435": "bathtub, bathing tub, bath, tub", "436": "beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon", "437": "beacon, lighthouse, beacon light, pharos", "438": "beaker", "439": "bearskin, busby, shako", "440": "beer bottle", "441": "beer glass", "442": "bell cote, bell cot", "443": "bib", "444": "bicycle-built-for-two, tandem bicycle, tandem", "445": "bikini, two-piece", "446": "binder, ring-binder", "447": "binoculars, field glasses, opera glasses", "448": "birdhouse", "449": "boathouse", "450": "bobsled, bobsleigh, bob", "451": "bolo tie, bolo, bola tie, bola", "452": "bonnet, poke bonnet", "453": "bookcase", "454": "bookshop, bookstore, bookstall", "455": "bottlecap", "456": "bow", "457": "bow tie, bow-tie, bowtie", "458": "brass, memorial tablet, plaque", "459": "brassiere, bra, bandeau", "460": "breakwater, groin, groyne, mole, bulwark, seawall, jetty", "461": "breastplate, aegis, egis", "462": "broom", "463": "bucket, pail", "464": "buckle", "465": "bulletproof vest", "466": "bullet train, bullet", "467": "butcher shop, meat market", "468": "cab, hack, taxi, taxicab", "469": "caldron, cauldron", "470": "candle, taper, wax light", "471": "cannon", "472": "canoe", "473": "can opener, tin opener", "474": "cardigan", "475": "car mirror", "476": "carousel, carrousel, merry-go-round, roundabout, whirligig", "477": "carpenter's kit, tool kit", "478": "carton", "479": "car wheel", "480": "cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM", "481": "cassette", "482": "cassette player", "483": "castle", "484": "catamaran", "485": "CD player", "486": "cello, violoncello", "487": "cellular telephone, cellular phone, cellphone, cell, mobile phone", "488": "chain", "489": "chainlink fence", "490": "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour", "491": "chain saw, chainsaw", "492": "chest", "493": "chiffonier, commode", "494": "chime, bell, gong", "495": "china cabinet, china closet", "496": "Christmas stocking", "497": "church, church building", "498": "cinema, movie theater, movie theatre, movie house, picture palace", "499": "cleaver, meat cleaver, chopper", "500": "cliff dwelling", "501": "cloak", "502": "clog, geta, patten, sabot", "503": "cocktail shaker", "504": "coffee mug", "505": "coffeepot", "506": "coil, spiral, volute, whorl, helix", "507": "combination lock", "508": "computer keyboard, keypad", "509": "confectionery, confectionary, candy store", "510": "container ship, containership, container vessel", "511": "convertible", "512": "corkscrew, bottle screw", "513": "cornet, horn, trumpet, trump", "514": "cowboy boot", "515": "cowboy hat, ten-gallon hat", "516": "cradle", "517": "crane2", "518": "crash helmet", "519": "crate", "520": "crib, cot", "521": "Crock Pot", "522": "croquet ball", "523": "crutch", "524": "cuirass", "525": "dam, dike, dyke", "526": "desk", "527": "desktop computer", "528": "dial telephone, dial phone", "529": "diaper, nappy, napkin", "530": "digital clock", "531": "digital watch", "532": "dining table, board", "533": "dishrag, dishcloth", "534": "dishwasher, dish washer, dishwashing machine", "535": "disk brake, disc brake", "536": "dock, dockage, docking facility", "537": "dogsled, dog sled, dog sleigh", "538": "dome", "539": "doormat, welcome mat", "540": "drilling platform, offshore rig", "541": "drum, membranophone, tympan", "542": "drumstick", "543": "dumbbell", "544": "Dutch oven", "545": "electric fan, blower", "546": "electric guitar", "547": "electric locomotive", "548": "entertainment center", "549": "envelope", "550": "espresso maker", "551": "face powder", "552": "feather boa, boa", "553": "file, file cabinet, filing cabinet", "554": "fireboat", "555": "fire engine, fire truck", "556": "fire screen, fireguard", "557": "flagpole, flagstaff", "558": "flute, transverse flute", "559": "folding chair", "560": "football helmet", "561": "forklift", "562": "fountain", "563": "fountain pen", "564": "four-poster", "565": "freight car", "566": "French horn, horn", "567": "frying pan, frypan, skillet", "568": "fur coat", "569": "garbage truck, dustcart", "570": "gasmask, respirator, gas helmet", "571": "gas pump, gasoline pump, petrol pump, island dispenser", "572": "goblet", "573": "go-kart", "574": "golf ball", "575": "golfcart, golf cart", "576": "gondola", "577": "gong, tam-tam", "578": "gown", "579": "grand piano, grand", "580": "greenhouse, nursery, glasshouse", "581": "grille, radiator grille", "582": "grocery store, grocery, food market, market", "583": "guillotine", "584": "hair slide", "585": "hair spray", "586": "half track", "587": "hammer", "588": "hamper", "589": "hand blower, blow dryer, blow drier, hair dryer, hair drier", "590": "hand-held computer, hand-held microcomputer", "591": "handkerchief, hankie, hanky, hankey", "592": "hard disc, hard disk, fixed disk", "593": "harmonica, mouth organ, harp, mouth harp", "594": "harp", "595": "harvester, reaper", "596": "hatchet", "597": "holster", "598": "home theater, home theatre", "599": "honeycomb", "600": "hook, claw", "601": "hoopskirt, crinoline", "602": "horizontal bar, high bar", "603": "horse cart, horse-cart", "604": "hourglass", "605": "iPod", "606": "iron, smoothing iron", "607": "jack-o'-lantern", "608": "jean, blue jean, denim", "609": "jeep, landrover", "610": "jersey, T-shirt, tee shirt", "611": "jigsaw puzzle", "612": "jinrikisha, ricksha, rickshaw", "613": "joystick", "614": "kimono", "615": "knee pad", "616": "knot", "617": "lab coat, laboratory coat", "618": "ladle", "619": "lampshade, lamp shade", "620": "laptop, laptop computer", "621": "lawn mower, mower", "622": "lens cap, lens cover", "623": "letter opener, paper knife, paperknife", "624": "library", "625": "lifeboat", "626": "lighter, light, igniter, ignitor", "627": "limousine, limo", "628": "liner, ocean liner", "629": "lipstick, lip rouge", "630": "Loafer", "631": "lotion", "632": "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system", "633": "loupe, jeweler's loupe", "634": "lumbermill, sawmill", "635": "magnetic compass", "636": "mailbag, postbag", "637": "mailbox, letter box", "638": "maillot", "639": "maillot, tank suit", "640": "manhole cover", "641": "maraca", "642": "marimba, xylophone", "643": "mask", "644": "matchstick", "645": "maypole", "646": "maze, labyrinth", "647": "measuring cup", "648": "medicine chest, medicine cabinet", "649": "megalith, megalithic structure", "650": "microphone, mike", "651": "microwave, microwave oven", "652": "military uniform", "653": "milk can", "654": "minibus", "655": "miniskirt, mini", "656": "minivan", "657": "missile", "658": "mitten", "659": "mixing bowl", "660": "mobile home, manufactured home", "661": "Model T", "662": "modem", "663": "monastery", "664": "monitor", "665": "moped", "666": "mortar", "667": "mortarboard", "668": "mosque", "669": "mosquito net", "670": "motor scooter, scooter", "671": "mountain bike, all-terrain bike, off-roader", "672": "mountain tent", "673": "mouse, computer mouse", "674": "mousetrap", "675": "moving van", "676": "muzzle", "677": "nail", "678": "neck brace", "679": "necklace", "680": "nipple", "681": "notebook, notebook computer", "682": "obelisk", "683": "oboe, hautboy, hautbois", "684": "ocarina, sweet potato", "685": "odometer, hodometer, mileometer, milometer", "686": "oil filter", "687": "organ, pipe organ", "688": "oscilloscope, scope, cathode-ray oscilloscope, CRO", "689": "overskirt", "690": "oxcart", "691": "oxygen mask", "692": "packet", "693": "paddle, boat paddle", "694": "paddlewheel, paddle wheel", "695": "padlock", "696": "paintbrush", "697": "pajama, pyjama, pj's, jammies", "698": "palace", "699": "panpipe, pandean pipe, syrinx", "700": "paper towel", "701": "parachute, chute", "702": "parallel bars, bars", "703": "park bench", "704": "parking meter", "705": "passenger car, coach, carriage", "706": "patio, terrace", "707": "pay-phone, pay-station", "708": "pedestal, plinth, footstall", "709": "pencil box, pencil case", "710": "pencil sharpener", "711": "perfume, essence", "712": "Petri dish", "713": "photocopier", "714": "pick, plectrum, plectron", "715": "pickelhaube", "716": "picket fence, paling", "717": "pickup, pickup truck", "718": "pier", "719": "piggy bank, penny bank", "720": "pill bottle", "721": "pillow", "722": "ping-pong ball", "723": "pinwheel", "724": "pirate, pirate ship", "725": "pitcher, ewer", "726": "plane, carpenter's plane, woodworking plane", "727": "planetarium", "728": "plastic bag", "729": "plate rack", "730": "plow, plough", "731": "plunger, plumber's helper", "732": "Polaroid camera, Polaroid Land camera", "733": "pole", "734": "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria", "735": "poncho", "736": "pool table, billiard table, snooker table", "737": "pop bottle, soda bottle", "738": "pot, flowerpot", "739": "potter's wheel", "740": "power drill", "741": "prayer rug, prayer mat", "742": "printer", "743": "prison, prison house", "744": "projectile, missile", "745": "projector", "746": "puck, hockey puck", "747": "punching bag, punch bag, punching ball, punchball", "748": "purse", "749": "quill, quill pen", "750": "quilt, comforter, comfort, puff", "751": "racer, race car, racing car", "752": "racket, racquet", "753": "radiator", "754": "radio, wireless", "755": "radio telescope, radio reflector", "756": "rain barrel", "757": "recreational vehicle, RV, R.V.", "758": "reel", "759": "reflex camera", "760": "refrigerator, icebox", "761": "remote control, remote", "762": "restaurant, eating house, eating place, eatery", "763": "revolver, six-gun, six-shooter", "764": "rifle", "765": "rocking chair, rocker", "766": "rotisserie", "767": "rubber eraser, rubber, pencil eraser", "768": "rugby ball", "769": "rule, ruler", "770": "running shoe", "771": "safe", "772": "safety pin", "773": "saltshaker, salt shaker", "774": "sandal", "775": "sarong", "776": "sax, saxophone", "777": "scabbard", "778": "scale, weighing machine", "779": "school bus", "780": "schooner", "781": "scoreboard", "782": "screen, CRT screen", "783": "screw", "784": "screwdriver", "785": "seat belt, seatbelt", "786": "sewing machine", "787": "shield, buckler", "788": "shoe shop, shoe-shop, shoe store", "789": "shoji", "790": "shopping basket", "791": "shopping cart", "792": "shovel", "793": "shower cap", "794": "shower curtain", "795": "ski", "796": "ski mask", "797": "sleeping bag", "798": "slide rule, slipstick", "799": "sliding door", "800": "slot, one-armed bandit", "801": "snorkel", "802": "snowmobile", "803": "snowplow, snowplough", "804": "soap dispenser", "805": "soccer ball", "806": "sock", "807": "solar dish, solar collector, solar furnace", "808": "sombrero", "809": "soup bowl", "810": "space bar", "811": "space heater", "812": "space shuttle", "813": "spatula", "814": "speedboat", "815": "spider web, spider's web", "816": "spindle", "817": "sports car, sport car", "818": "spotlight, spot", "819": "stage", "820": "steam locomotive", "821": "steel arch bridge", "822": "steel drum", "823": "stethoscope", "824": "stole", "825": "stone wall", "826": "stopwatch, stop watch", "827": "stove", "828": "strainer", "829": "streetcar, tram, tramcar, trolley, trolley car", "830": "stretcher", "831": "studio couch, day bed", "832": "stupa, tope", "833": "submarine, pigboat, sub, U-boat", "834": "suit, suit of clothes", "835": "sundial", "836": "sunglass", "837": "sunglasses, dark glasses, shades", "838": "sunscreen, sunblock, sun blocker", "839": "suspension bridge", "840": "swab, swob, mop", "841": "sweatshirt", "842": "swimming trunks, bathing trunks", "843": "swing", "844": "switch, electric switch, electrical switch", "845": "syringe", "846": "table lamp", "847": "tank, army tank, armored combat vehicle, armoured combat vehicle", "848": "tape player", "849": "teapot", "850": "teddy, teddy bear", "851": "television, television system", "852": "tennis ball", "853": "thatch, thatched roof", "854": "theater curtain, theatre curtain", "855": "thimble", "856": "thresher, thrasher, threshing machine", "857": "throne", "858": "tile roof", "859": "toaster", "860": "tobacco shop, tobacconist shop, tobacconist", "861": "toilet seat", "862": "torch", "863": "totem pole", "864": "tow truck, tow car, wrecker", "865": "toyshop", "866": "tractor", "867": "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi", "868": "tray", "869": "trench coat", "870": "tricycle, trike, velocipede", "871": "trimaran", "872": "tripod", "873": "triumphal arch", "874": "trolleybus, trolley coach, trackless trolley", "875": "trombone", "876": "tub, vat", "877": "turnstile", "878": "typewriter keyboard", "879": "umbrella", "880": "unicycle, monocycle", "881": "upright, upright piano", "882": "vacuum, vacuum cleaner", "883": "vase", "884": "vault", "885": "velvet", "886": "vending machine", "887": "vestment", "888": "viaduct", "889": "violin, fiddle", "890": "volleyball", "891": "waffle iron", "892": "wall clock", "893": "wallet, billfold, notecase, pocketbook", "894": "wardrobe, closet, press", "895": "warplane, military plane", "896": "washbasin, handbasin, washbowl, lavabo, wash-hand basin", "897": "washer, automatic washer, washing machine", "898": "water bottle", "899": "water jug", "900": "water tower", "901": "whiskey jug", "902": "whistle", "903": "wig", "904": "window screen", "905": "window shade", "906": "Windsor tie", "907": "wine bottle", "908": "wing", "909": "wok", "910": "wooden spoon", "911": "wool, woolen, woollen", "912": "worm fence, snake fence, snake-rail fence, Virginia fence", "913": "wreck", "914": "yawl", "915": "yurt", "916": "web site, website, internet site, site", "917": "comic book", "918": "crossword puzzle, crossword", "919": "street sign", "920": "traffic light, traffic signal, stoplight", "921": "book jacket, dust cover, dust jacket, dust wrapper", "922": "menu", "923": "plate", "924": "guacamole", "925": "consomme", "926": "hot pot, hotpot", "927": "trifle", "928": "ice cream, icecream", "929": "ice lolly, lolly, lollipop, popsicle", "930": "French loaf", "931": "bagel, beigel", "932": "pretzel", "933": "cheeseburger", "934": "hotdog, hot dog, red hot", "935": "mashed potato", "936": "head cabbage", "937": "broccoli", "938": "cauliflower", "939": "zucchini, courgette", "940": "spaghetti squash", "941": "acorn squash", "942": "butternut squash", "943": "cucumber, cuke", "944": "artichoke, globe artichoke", "945": "bell pepper", "946": "cardoon", "947": "mushroom", "948": "Granny Smith", "949": "strawberry", "950": "orange", "951": "lemon", "952": "fig", "953": "pineapple, ananas", "954": "banana", "955": "jackfruit, jak, jack", "956": "custard apple", "957": "pomegranate", "958": "hay", "959": "carbonara", "960": "chocolate sauce, chocolate syrup", "961": "dough", "962": "meat loaf, meatloaf", "963": "pizza, pizza pie", "964": "potpie", "965": "burrito", "966": "red wine", "967": "espresso", "968": "cup", "969": "eggnog", "970": "alp", "971": "bubble", "972": "cliff, drop, drop-off", "973": "coral reef", "974": "geyser", "975": "lakeside, lakeshore", "976": "promontory, headland, head, foreland", "977": "sandbar, sand bar", "978": "seashore, coast, seacoast, sea-coast", "979": "valley, vale", "980": "volcano", "981": "ballplayer, baseball player", "982": "groom, bridegroom", "983": "scuba diver", "984": "rapeseed", "985": "daisy", "986": "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum", "987": "corn", "988": "acorn", "989": "hip, rose hip, rosehip", "990": "buckeye, horse chestnut, conker", "991": "coral fungus", "992": "agaric", "993": "gyromitra", "994": "stinkhorn, carrion fungus", "995": "earthstar", "996": "hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa", "997": "bolete", "998": "ear, spike, capitulum", "999": "toilet tissue, toilet paper, bathroom tissue"}}}}]
|
{}
|
1231czx/llama3_non_delete_rr40k_2e6_bz32_ep3tmp10_vllmexp_gold_reward
|
default
| 0 | 22 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-08T05:19:27 | 2025-01-08T05:27:50 |
[{"name": "idx", "dtype": "int64"}, {"name": "prompt", "dtype": "string"}, {"name": "rewards", "sequence": "bool"}, {"name": "answers", "sequence": "string"}, {"name": "gt", "dtype": "string"}, {"name": "proxy_label", "dtype": "bool"}, {"name": "second_rewards", "sequence": "bool"}]
|
{}
|
winnieyangwannan/azaria-mitchell-filtered-gemma-2b-it-train-test
|
default
| 0 | 21 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-14T08:06:54 | 2025-01-14T08:06:57 |
[{"name": "claim", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "dataset", "dtype": "string"}, {"name": "ind", "dtype": "int64"}]
|
{}
|
paulh27/alignment_wmt2014_de_en
|
default
| 0 | 33 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-05-06T00:57:06 | 2024-05-06T00:57:15 |
[{"name": "translation", "struct": [{"name": "de", "dtype": "string"}, {"name": "en", "dtype": "string"}]}]
|
{}
|
EdsonKanou/new_sql_training
|
default
| 0 | 37 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-03T07:39:18 | 2024-12-03T16:44:08 |
[{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}]
|
{}
|
Asap7772/elix_eval_4shot_infinstruct1e5_winrate
|
default
| 0 | 23 |
["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-10T19:47:36 | 2025-01-10T20:02:07 |
[{"name": "prompt", "dtype": "string"}, {"name": "level_x", "dtype": "string"}, {"name": "level_id_x", "dtype": "int64"}, {"name": "model_name_x", "dtype": "string"}, {"name": "response_x", "dtype": "string"}, {"name": "level_y", "dtype": "string"}, {"name": "level_id_y", "dtype": "int64"}, {"name": "model_name_y", "dtype": "string"}, {"name": "response_y", "dtype": "string"}, {"name": "scorer_level", "dtype": "string"}, {"name": "scorer_level_id", "dtype": "int64"}, {"name": "label", "dtype": "int64"}]
|
{}
|
amuvarma/mls-train-200k-1-nopad-pinput
|
default
| 0 | 41 |
["size_categories:100K<n<1M", "format:parquet", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-21T12:52:04 | 2024-11-21T15:38:17 |
[{"name": "audio_values", "sequence": "float64"}, {"name": "transcript_ids", "sequence": "int64"}, {"name": "labels", "sequence": "int64"}, {"name": "input_ids", "sequence": "int32"}]
|
{}
|
felipeoes/br_federal_legislation_blue_amazon_chat_qa_llm_filtered
|
default
| 0 | 63 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-14T00:40:06 | 2025-01-17T18:21:50 |
[{"name": "year", "dtype": "int64"}, {"name": "title", "dtype": "large_string"}, {"name": "situation", "dtype": "large_string"}, {"name": "type", "dtype": "large_string"}, {"name": "summary", "dtype": "large_string"}, {"name": "text_markdown", "dtype": "large_string"}, {"name": "prompt", "dtype": "large_string"}, {"name": "generated_content", "dtype": "large_string"}, {"name": "formatted_chat", "large_list": [{"name": "role", "dtype": "large_string"}, {"name": "content", "dtype": "large_string"}]}, {"name": "document_url", "dtype": "large_string"}, {"name": "prompt_classificacao", "dtype": "large_string"}, {"name": "amazonia_azul_Qwen2.5-72B-Instruct", "dtype": "large_string"}, {"name": "palavras_chave_Qwen2.5-72B-Instruct", "dtype": "large_string"}, {"name": "amazonia_azul_Meta-Llama-3.1-405B-Instruct", "dtype": "large_string"}, {"name": "palavras_chave_Meta-Llama-3.1-405B-Instruct", "dtype": "large_string"}, {"name": "amazonia_azul_Meta-Llama-3.1-70B-Instruct", "dtype": "large_string"}, {"name": "palavras_chave_Meta-Llama-3.1-70B-Instruct", "dtype": "large_string"}, {"name": "amazonia_azul_QwQ-32B-Preview", "dtype": "large_string"}, {"name": "palavras_chave_QwQ-32B-Preview", "dtype": "large_string"}, {"name": "amazonia_azul_Meta-Llama-3.3-70B-Instruct", "dtype": "large_string"}, {"name": "palavras_chave_Meta-Llama-3.3-70B-Instruct", "dtype": "large_string"}, {"name": "amazonia_azul_Meta-Llama-3.2-3B-Instruct", "dtype": "large_string"}, {"name": "palavras_chave_Meta-Llama-3.2-3B-Instruct", "dtype": "large_string"}, {"name": "amazonia_azul_gpt-4o", "dtype": "large_string"}, {"name": "palavras_chave_gpt-4o", "dtype": "large_string"}]
|
{}
|
2173ars/finetuning_story
|
default
| 5 | 33 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-07-11T20:41:01 | 2024-07-15T11:24:19 |
[{"name": "prompt", "dtype": "string"}]
|
{}
|
weqweasdas/math_idx
|
default
| 0 | 31 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-06-04T21:26:39 | 2024-06-04T21:26:40 |
[{"name": "problem", "dtype": "string"}, {"name": "level", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "solution", "dtype": "string"}, {"name": "idx", "dtype": "int64"}]
|
{}
|
mammoth666/cars-make-model-year-chunk-130
|
default
| 0 | 30 |
["size_categories:n<1K", "format:parquet", "modality:image", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-07-03T18:37:17 | 2024-07-03T18:37:42 |
[{"name": "image", "dtype": "image"}]
|
{}
|
skjdhuhsnjd/h2-tagged
|
default
| 0 | 46 |
["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-22T04:49:54 | 2024-12-22T04:49:56 |
[{"name": "audio_id", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "gender", "dtype": "string"}, {"name": "utterance_pitch_mean", "dtype": "float32"}, {"name": "utterance_pitch_std", "dtype": "float32"}, {"name": "snr", "dtype": "float64"}, {"name": "c50", "dtype": "float64"}, {"name": "speaking_rate", "dtype": "string"}, {"name": "phonemes", "dtype": "string"}, {"name": "noise", "dtype": "string"}, {"name": "reverberation", "dtype": "string"}, {"name": "speech_monotony", "dtype": "string"}, {"name": "text_description", "dtype": "string"}]
|
{}
|
GreenNode/amazon-polarity-vn
|
default
| 0 | 39 |
["size_categories:1M<n<10M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-10-27T22:55:21 | 2024-10-27T22:57:39 |
[{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "label_text", "dtype": "string"}, {"name": "og_text", "dtype": "string"}]
|
{}
|
rifatul123/NoN_generic_248218_type_indian_drug_cleaned
|
default
| 0 | 31 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-05-06T09:25:03 | 2023-05-06T09:25:17 |
[{"name": "Uses", "dtype": "string"}, {"name": "SIDEEFFECT", "dtype": "string"}, {"name": "NAME", "dtype": "string"}, {"name": "CLASS", "dtype": "string"}]
|
{}
|
deepdml/common_voice_17_0_ar_pseudo_labelled-large-v3
|
ar
| 0 | 31 |
["size_categories:1K<n<10K", "format:parquet", "modality:audio", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-09T16:00:35 | 2024-09-09T16:23:42 |
[{"name": "path", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}, {"name": "condition_on_prev", "sequence": "int64"}, {"name": "whisper_transcript", "dtype": "string"}]
|
{}
|
llm-aes/meva_original
|
default
| 0 | 31 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-02-13T06:26:31 | 2024-02-13T06:26:32 |
[{"name": "premise", "dtype": "string"}, {"name": "generator", "dtype": "string"}, {"name": "story", "dtype": "string"}, {"name": "human_score", "dtype": "float64"}]
|
{}
|
RJuro/neuro_patents_sample_finetune
|
default
| 2 | 36 |
["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-02-25T20:04:51 | 2024-02-25T20:07:40 |
[{"name": "appln_id", "dtype": "int64"}, {"name": "appln_filing_date", "dtype": "string"}, {"name": "docdb_family_id", "dtype": "int64"}, {"name": "granted", "dtype": "string"}, {"name": "appln_abstract", "dtype": "string"}, {"name": "appln_abstract_lg", "dtype": "string"}, {"name": "appln_title", "dtype": "string"}, {"name": "applt_coun", "dtype": "string"}, {"name": "invt_coun", "dtype": "string"}, {"name": "cpc", "dtype": "string"}, {"name": "ipc", "sequence": "string"}, {"name": "__index_level_0__", "dtype": "int64"}, {"name": "input", "dtype": "string"}, {"name": "completion", "dtype": "string"}]
|
{}
|
alihmaou/bdnb_2023-11.a_batiment_groupe_merimee_66
|
default
| 0 | 32 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-08-14T18:57:54 | 2024-08-14T18:57:55 |
[{"name": "batiment_groupe_id", "dtype": "string"}, {"name": "code_departement_insee", "dtype": "string"}, {"name": "distance_batiment_historique_plus_proche", "dtype": "int64"}, {"name": "nom_batiment_historique_plus_proche", "dtype": "string"}]
|
{}
|
zzheng94/train_synonyms
|
default
| 0 | 32 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-06-04T15:46:26 | 2024-06-04T16:08:15 |
[{"name": "text", "dtype": "string"}, {"name": "English Query", "dtype": "string"}, {"name": "synonyms", "sequence": {"sequence": "string"}}]
|
{}
|
liuyanchen1015/MULTI_VALUE_cola_plural_interrogative
|
default
| 0 | 30 |
["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-04-03T19:29:57 | 2023-04-03T19:30:01 |
[{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}]
|
{}
|
michaelyli/dsprites-gold-wrong-counterfactuals-under_specified
|
default
| 0 | 36 |
["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-08-27T04:01:29 | 2024-08-27T04:40:22 |
[{"name": "image_base64", "dtype": "string"}, {"name": "image_base64_cf", "dtype": "string"}, {"name": "caption", "dtype": "string"}, {"name": "caption_cf", "dtype": "string"}, {"name": "shape", "dtype": "int32"}, {"name": "scale", "dtype": "int32"}, {"name": "orientation", "dtype": "int32"}, {"name": "position_x", "dtype": "int32"}, {"name": "position_y", "dtype": "int32"}, {"name": "shape_cf", "dtype": "int32"}, {"name": "scale_cf", "dtype": "int32"}, {"name": "orientation_cf", "dtype": "int32"}, {"name": "position_x_cf", "dtype": "int32"}, {"name": "position_y_cf", "dtype": "int32"}]
|
{}
|
distilled-from-one-sec-cv12/chunk_30
|
default
| 0 | 31 |
["size_categories:100K<n<1M", "format:parquet", "modality:timeseries", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-05-28T20:21:06 | 2023-05-28T20:21:54 |
[{"name": "logits", "sequence": "float32"}, {"name": "mfcc", "sequence": {"sequence": "float64"}}]
|
{}
|
EzekielSalva/teess
|
default
| 0 | 30 |
["size_categories:n<1K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-19T14:26:43 | 2024-09-19T14:28:11 |
[{"name": "image", "dtype": "image"}, {"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "ground_truth", "dtype": "string"}]
|
{}
|
Rookied/merge_data_jp_short
|
default
| 0 | 13 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-16T11:34:52 | 2025-01-16T11:35:00 |
[{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}]
|
{}
|
RyanYr/reflect_gsm8k-test_nonGenCritic_t2
|
default
| 0 | 49 |
["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-05T01:08:06 | 2025-01-13T08:49:44 |
[{"name": "problem", "dtype": "string"}, {"name": "solution", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "response@0", "sequence": "string"}, {"name": "response@1", "dtype": "float64"}, {"name": "response@2", "sequence": "string"}, {"name": "response@3", "dtype": "float64"}, {"name": "response@4", "sequence": "string"}]
|
{}
|
YashaP/ACMproject
|
default
| 0 | 31 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-01-16T15:47:03 | 2024-01-16T15:49:03 |
[{"name": "input", "dtype": "string"}, {"name": "output", "sequence": "string"}]
|
{}
|
pdf2dataset/58981542058d1671c8f79c1f4a6d82b7
|
default
| 0 | 33 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-25T21:39:19 | 2024-09-25T21:39:20 |
[{"name": "text", "dtype": "string"}, {"name": "source", "dtype": "string"}]
|
{}
|
Asap7772/review_eval_4shot_infipo0.05_winrate_gpt4o_pref_train
|
default
| 0 | 24 |
["size_categories:n<1K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-12T20:20:04 | 2025-01-12T20:20:08 |
[{"name": "prompt", "dtype": "string"}, {"name": "level_x", "dtype": "string"}, {"name": "level_id_x", "dtype": "int64"}, {"name": "model_name_x", "dtype": "string"}, {"name": "response_x", "dtype": "string"}, {"name": "level_y", "dtype": "string"}, {"name": "level_id_y", "dtype": "int64"}, {"name": "model_name_y", "dtype": "string"}, {"name": "response_y", "dtype": "string"}, {"name": "scorer_level", "dtype": "string"}, {"name": "scorer_level_id", "dtype": "int64"}, {"name": "label", "dtype": "int64"}, {"name": "det_choice", "dtype": "int64"}]
|
{}
|
GarayMC/cracks
|
default
| 0 | 30 |
["size_categories:n<1K", "format:parquet", "modality:image", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-03-30T23:04:34 | 2023-03-30T23:05:36 |
[{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "images", "1": "label", "2": "test", "3": "train", "4": "valid"}}}}]
|
{}
|
Zahra99/IEMOCAP_Audio
|
default
| 4 | 90 |
["task_categories:audio-classification", "language:en", "size_categories:1K<n<10K", "format:parquet", "modality:audio", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
["en"]
|
null
| 2023-02-08T15:58:57 | 2024-02-05T03:16:33 |
[{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "label", "dtype": {"class_label": {"names": {"0": "ang", "1": "hap", "2": "neu", "3": "sad"}}}}]
|
{}
|
andrewsiah/PersonaPromptPersonalLLM_311
|
default
| 0 | 32 |
["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-08-07T17:51:30 | 2024-08-07T17:51:32 |
[{"name": "personaid_311_response_1_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_311_response_2_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_311_response_3_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_311_response_4_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_311_response_5_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_311_response_6_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_311_response_7_llama3_sfairx", "dtype": "float64"}, {"name": "personaid_311_response_8_llama3_sfairx", "dtype": "float64"}, {"name": "prompt", "dtype": "string"}, {"name": "subset", "dtype": "string"}, {"name": "prompt_id", "dtype": "int64"}, {"name": "response_1", "dtype": "string"}, {"name": "response_1_model", "dtype": "string"}, {"name": "response_2", "dtype": "string"}, {"name": "response_2_model", "dtype": "string"}, {"name": "response_3", "dtype": "string"}, {"name": "response_3_model", "dtype": "string"}, {"name": "response_4", "dtype": "string"}, {"name": "response_4_model", "dtype": "string"}, {"name": "response_5", "dtype": "string"}, {"name": "response_5_model", "dtype": "string"}, {"name": "response_6", "dtype": "string"}, {"name": "response_6_model", "dtype": "string"}, {"name": "response_7", "dtype": "string"}, {"name": "response_7_model", "dtype": "string"}, {"name": "response_8", "dtype": "string"}, {"name": "response_8_model", "dtype": "string"}, {"name": "response_1_gemma_2b", "dtype": "float64"}, {"name": "response_2_gemma_2b", "dtype": "float64"}, {"name": "response_3_gemma_2b", "dtype": "float64"}, {"name": "response_4_gemma_2b", "dtype": "float64"}, {"name": "response_5_gemma_2b", "dtype": "float64"}, {"name": "response_6_gemma_2b", "dtype": "float64"}, {"name": "response_7_gemma_2b", "dtype": "float64"}, {"name": "response_8_gemma_2b", "dtype": "float64"}, {"name": "response_1_gemma_7b", "dtype": "float64"}, {"name": "response_2_gemma_7b", "dtype": "float64"}, {"name": "response_3_gemma_7b", "dtype": "float64"}, {"name": "response_4_gemma_7b", "dtype": "float64"}, {"name": "response_5_gemma_7b", "dtype": "float64"}, {"name": "response_6_gemma_7b", "dtype": "float64"}, {"name": "response_7_gemma_7b", "dtype": "float64"}, {"name": "response_8_gemma_7b", "dtype": "float64"}, {"name": "response_1_mistral_raft", "dtype": "float64"}, {"name": "response_2_mistral_raft", "dtype": "float64"}, {"name": "response_3_mistral_raft", "dtype": "float64"}, {"name": "response_4_mistral_raft", "dtype": "float64"}, {"name": "response_5_mistral_raft", "dtype": "float64"}, {"name": "response_6_mistral_raft", "dtype": "float64"}, {"name": "response_7_mistral_raft", "dtype": "float64"}, {"name": "response_8_mistral_raft", "dtype": "float64"}, {"name": "response_1_mistral_ray", "dtype": "float64"}, {"name": "response_2_mistral_ray", "dtype": "float64"}, {"name": "response_3_mistral_ray", "dtype": "float64"}, {"name": "response_4_mistral_ray", "dtype": "float64"}, {"name": "response_5_mistral_ray", "dtype": "float64"}, {"name": "response_6_mistral_ray", "dtype": "float64"}, {"name": "response_7_mistral_ray", "dtype": "float64"}, {"name": "response_8_mistral_ray", "dtype": "float64"}, {"name": "response_1_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_2_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_3_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_4_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_5_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_6_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_7_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_8_mistral_weqweasdas", "dtype": "float64"}, {"name": "response_1_llama3_sfairx", "dtype": "float64"}, {"name": "response_2_llama3_sfairx", "dtype": "float64"}, {"name": "response_3_llama3_sfairx", "dtype": "float64"}, {"name": "response_4_llama3_sfairx", "dtype": "float64"}, {"name": "response_5_llama3_sfairx", "dtype": "float64"}, {"name": "response_6_llama3_sfairx", "dtype": "float64"}, {"name": "response_7_llama3_sfairx", "dtype": "float64"}, {"name": "response_8_llama3_sfairx", "dtype": "float64"}, {"name": "response_1_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_2_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_3_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_4_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_5_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_6_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_7_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_8_oasst_deberta_v3", "dtype": "float64"}, {"name": "response_1_beaver_7b", "dtype": "float64"}, {"name": "response_2_beaver_7b", "dtype": "float64"}, {"name": "response_3_beaver_7b", "dtype": "float64"}, {"name": "response_4_beaver_7b", "dtype": "float64"}, {"name": "response_5_beaver_7b", "dtype": "float64"}, {"name": "response_6_beaver_7b", "dtype": "float64"}, {"name": "response_7_beaver_7b", "dtype": "float64"}, {"name": "response_8_beaver_7b", "dtype": "float64"}, {"name": "response_1_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_2_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_3_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_4_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_5_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_6_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_7_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_8_oasst_pythia_7b", "dtype": "float64"}, {"name": "response_1_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_2_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_3_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_4_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_5_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_6_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_7_oasst_pythia_1b", "dtype": "float64"}, {"name": "response_8_oasst_pythia_1b", "dtype": "float64"}, {"name": "id", "dtype": "int64"}, {"name": "rformatted_promptresponse_1", "dtype": "string"}, {"name": "rformatted_promptresponse_2", "dtype": "string"}, {"name": "rformatted_promptresponse_3", "dtype": "string"}, {"name": "rformatted_promptresponse_4", "dtype": "string"}, {"name": "rformatted_promptresponse_5", "dtype": "string"}, {"name": "rformatted_promptresponse_6", "dtype": "string"}, {"name": "rformatted_promptresponse_7", "dtype": "string"}, {"name": "rformatted_promptresponse_8", "dtype": "string"}]
|
{}
|
abhayesian/augmented_advbench_v5
|
default
| 0 | 33 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-07-05T08:58:09 | 2024-07-05T10:07:25 |
[{"name": "prompt", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "chosen", "dtype": "string"}]
|
{}
|
guyhadad01/toys_history-fix_atleast100_10candidates_mc
|
default
| 0 | 31 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-06-03T17:14:19 | 2024-06-03T17:14:25 |
[{"name": "start_prompt", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "ending0", "dtype": "string"}, {"name": "ending1", "dtype": "string"}, {"name": "ending2", "dtype": "string"}, {"name": "ending3", "dtype": "string"}, {"name": "ending4", "dtype": "string"}, {"name": "ending5", "dtype": "string"}, {"name": "ending6", "dtype": "string"}, {"name": "ending7", "dtype": "string"}, {"name": "ending8", "dtype": "string"}, {"name": "ending9", "dtype": "string"}]
|
{}
|
tyzhu/lmind_nq_train5000_eval5000_v1_reciteonly_qa
|
default
| 0 | 31 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-02-03T15:37:42 | 2024-02-03T15:38:00 |
[{"name": "answers", "struct": [{"name": "answer_start", "sequence": "null"}, {"name": "text", "sequence": "string"}]}, {"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}]
|
{}
|
supergoose/dummy_mmlu_lolalora_oracle
|
default
| 0 | 33 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-10-01T19:23:11 | 2024-10-01T19:23:14 |
[{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "oracle", "dtype": "int64"}]
|
{}
|
liuyanchen1015/MULTI_VALUE_mnli_fronting_pobj
|
default
| 0 | 32 |
["size_categories:100K<n<1M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2022-12-12T01:31:29 | 2022-12-12T01:31:45 |
[{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "score", "dtype": "int64"}]
|
{}
|
DT4LM/t5v1-1base_sst2_pair_leap_2_2
|
default
| 0 | 23 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2025-01-05T12:33:19 | 2025-01-05T12:33:22 |
[{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int32"}]
|
{}
|
Phaedrus/rsna_fixed
|
default
| 0 | 44 |
["size_categories:n<1K", "format:parquet", "modality:image", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-11-01T13:11:23 | 2023-11-01T13:25:09 |
[{"name": "image", "dtype": "image"}, {"name": "label1", "dtype": "image"}, {"name": "label2", "dtype": "image"}, {"name": "label3", "dtype": "image"}, {"name": "label4", "dtype": "image"}, {"name": "label5", "dtype": "image"}, {"name": "label6", "dtype": "image"}, {"name": "label7", "dtype": "image"}, {"name": "label8", "dtype": "image"}, {"name": "label9", "dtype": "image"}, {"name": "label10", "dtype": "image"}, {"name": "label11", "dtype": "image"}, {"name": "label12", "dtype": "image"}, {"name": "label13", "dtype": "image"}, {"name": "label14", "dtype": "image"}]
|
{}
|
csupiisc/plmn3.5l
|
default
| 0 | 31 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-10-11T17:56:26 | 2023-10-11T17:56:28 |
[{"name": "text", "dtype": "string"}]
|
{}
|
datacomp/imagenet-1k-random90.0
|
default
| 1 | 217 |
["size_categories:1M<n<10M", "format:parquet", "modality:image", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-10-05T07:42:19 | 2024-11-07T22:42:36 |
[{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "tench, Tinca tinca", "1": "goldfish, Carassius auratus", "2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias", "3": "tiger shark, Galeocerdo cuvieri", "4": "hammerhead, hammerhead shark", "5": "electric ray, crampfish, numbfish, torpedo", "6": "stingray", "7": "cock", "8": "hen", "9": "ostrich, Struthio camelus", "10": "brambling, Fringilla montifringilla", "11": "goldfinch, Carduelis carduelis", "12": "house finch, linnet, Carpodacus mexicanus", "13": "junco, snowbird", "14": "indigo bunting, indigo finch, indigo bird, Passerina cyanea", "15": "robin, American robin, Turdus migratorius", "16": "bulbul", "17": "jay", "18": "magpie", "19": "chickadee", "20": "water ouzel, dipper", "21": "kite", "22": "bald eagle, American eagle, Haliaeetus leucocephalus", "23": "vulture", "24": "great grey owl, great gray owl, Strix nebulosa", "25": "European fire salamander, Salamandra salamandra", "26": "common newt, Triturus vulgaris", "27": "eft", "28": "spotted salamander, Ambystoma maculatum", "29": "axolotl, mud puppy, Ambystoma mexicanum", "30": "bullfrog, Rana catesbeiana", "31": "tree frog, tree-frog", "32": "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui", "33": "loggerhead, loggerhead turtle, Caretta caretta", "34": "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea", "35": "mud turtle", "36": "terrapin", "37": "box turtle, box tortoise", "38": "banded gecko", "39": "common iguana, iguana, Iguana iguana", "40": "American chameleon, anole, Anolis carolinensis", "41": "whiptail, whiptail lizard", "42": "agama", "43": "frilled lizard, Chlamydosaurus kingi", "44": "alligator lizard", "45": "Gila monster, Heloderma suspectum", "46": "green lizard, Lacerta viridis", "47": "African chameleon, Chamaeleo chamaeleon", "48": "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis", "49": "African crocodile, Nile crocodile, Crocodylus niloticus", "50": "American alligator, Alligator mississipiensis", "51": "triceratops", "52": "thunder snake, worm snake, Carphophis amoenus", "53": "ringneck snake, ring-necked snake, ring snake", "54": "hognose snake, puff adder, sand viper", "55": "green snake, grass snake", "56": "king snake, kingsnake", "57": "garter snake, grass snake", "58": "water snake", "59": "vine snake", "60": "night snake, Hypsiglena torquata", "61": "boa constrictor, Constrictor constrictor", "62": "rock python, rock snake, Python sebae", "63": "Indian cobra, Naja naja", "64": "green mamba", "65": "sea snake", "66": "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus", "67": "diamondback, diamondback rattlesnake, Crotalus adamanteus", "68": "sidewinder, horned rattlesnake, Crotalus cerastes", "69": "trilobite", "70": "harvestman, daddy longlegs, Phalangium opilio", "71": "scorpion", "72": "black and gold garden spider, Argiope aurantia", "73": "barn spider, Araneus cavaticus", "74": "garden spider, Aranea diademata", "75": "black widow, Latrodectus mactans", "76": "tarantula", "77": "wolf spider, hunting spider", "78": "tick", "79": "centipede", "80": "black grouse", "81": "ptarmigan", "82": "ruffed grouse, partridge, Bonasa umbellus", "83": "prairie chicken, prairie grouse, prairie fowl", "84": "peacock", "85": "quail", "86": "partridge", "87": "African grey, African gray, Psittacus erithacus", "88": "macaw", "89": "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita", "90": "lorikeet", "91": "coucal", "92": "bee eater", "93": "hornbill", "94": "hummingbird", "95": "jacamar", "96": "toucan", "97": "drake", "98": "red-breasted merganser, Mergus serrator", "99": "goose", "100": "black swan, Cygnus atratus", "101": "tusker", "102": "echidna, spiny anteater, anteater", "103": "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus", "104": "wallaby, brush kangaroo", "105": "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus", "106": "wombat", "107": "jellyfish", "108": "sea anemone, anemone", "109": "brain coral", "110": "flatworm, platyhelminth", "111": "nematode, nematode worm, roundworm", "112": "conch", "113": "snail", "114": "slug", "115": "sea slug, nudibranch", "116": "chiton, coat-of-mail shell, sea cradle, polyplacophore", "117": "chambered nautilus, pearly nautilus, nautilus", "118": "Dungeness crab, Cancer magister", "119": "rock crab, Cancer irroratus", "120": "fiddler crab", "121": "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica", "122": "American lobster, Northern lobster, Maine lobster, Homarus americanus", "123": "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish", "124": "crayfish, crawfish, crawdad, crawdaddy", "125": "hermit crab", "126": "isopod", "127": "white stork, Ciconia ciconia", "128": "black stork, Ciconia nigra", "129": "spoonbill", "130": "flamingo", "131": "little blue heron, Egretta caerulea", "132": "American egret, great white heron, Egretta albus", "133": "bittern", "134": "crane", "135": "limpkin, Aramus pictus", "136": "European gallinule, Porphyrio porphyrio", "137": "American coot, marsh hen, mud hen, water hen, Fulica americana", "138": "bustard", "139": "ruddy turnstone, Arenaria interpres", "140": "red-backed sandpiper, dunlin, Erolia alpina", "141": "redshank, Tringa totanus", "142": "dowitcher", "143": "oystercatcher, oyster catcher", "144": "pelican", "145": "king penguin, Aptenodytes patagonica", "146": "albatross, mollymawk", "147": "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus", "148": "killer whale, killer, orca, grampus, sea wolf, Orcinus orca", "149": "dugong, Dugong dugon", "150": "sea lion", "151": "Chihuahua", "152": "Japanese spaniel", "153": "Maltese dog, Maltese terrier, Maltese", "154": "Pekinese, Pekingese, Peke", "155": "Shih-Tzu", "156": "Blenheim spaniel", "157": "papillon", "158": "toy terrier", "159": "Rhodesian ridgeback", "160": "Afghan hound, Afghan", "161": "basset, basset hound", "162": "beagle", "163": "bloodhound, sleuthhound", "164": "bluetick", "165": "black-and-tan coonhound", "166": "Walker hound, Walker foxhound", "167": "English foxhound", "168": "redbone", "169": "borzoi, Russian wolfhound", "170": "Irish wolfhound", "171": "Italian greyhound", "172": "whippet", "173": "Ibizan hound, Ibizan Podenco", "174": "Norwegian elkhound, elkhound", "175": "otterhound, otter hound", "176": "Saluki, gazelle hound", "177": "Scottish deerhound, deerhound", "178": "Weimaraner", "179": "Staffordshire bullterrier, Staffordshire bull terrier", "180": "American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier", "181": "Bedlington terrier", "182": "Border terrier", "183": "Kerry blue terrier", "184": "Irish terrier", "185": "Norfolk terrier", "186": "Norwich terrier", "187": "Yorkshire terrier", "188": "wire-haired fox terrier", "189": "Lakeland terrier", "190": "Sealyham terrier, Sealyham", "191": "Airedale, Airedale terrier", "192": "cairn, cairn terrier", "193": "Australian terrier", "194": "Dandie Dinmont, Dandie Dinmont terrier", "195": "Boston bull, Boston terrier", "196": "miniature schnauzer", "197": "giant schnauzer", "198": "standard schnauzer", "199": "Scotch terrier, Scottish terrier, Scottie", "200": "Tibetan terrier, chrysanthemum dog", "201": "silky terrier, Sydney silky", "202": "soft-coated wheaten terrier", "203": "West Highland white terrier", "204": "Lhasa, Lhasa apso", "205": "flat-coated retriever", "206": "curly-coated retriever", "207": "golden retriever", "208": "Labrador retriever", "209": "Chesapeake Bay retriever", "210": "German short-haired pointer", "211": "vizsla, Hungarian pointer", "212": "English setter", "213": "Irish setter, red setter", "214": "Gordon setter", "215": "Brittany spaniel", "216": "clumber, clumber spaniel", "217": "English springer, English springer spaniel", "218": "Welsh springer spaniel", "219": "cocker spaniel, English cocker spaniel, cocker", "220": "Sussex spaniel", "221": "Irish water spaniel", "222": "kuvasz", "223": "schipperke", "224": "groenendael", "225": "malinois", "226": "briard", "227": "kelpie", "228": "komondor", "229": "Old English sheepdog, bobtail", "230": "Shetland sheepdog, Shetland sheep dog, Shetland", "231": "collie", "232": "Border collie", "233": "Bouvier des Flandres, Bouviers des Flandres", "234": "Rottweiler", "235": "German shepherd, German shepherd dog, German police dog, alsatian", "236": "Doberman, Doberman pinscher", "237": "miniature pinscher", "238": "Greater Swiss Mountain dog", "239": "Bernese mountain dog", "240": "Appenzeller", "241": "EntleBucher", "242": "boxer", "243": "bull mastiff", "244": "Tibetan mastiff", "245": "French bulldog", "246": "Great Dane", "247": "Saint Bernard, St Bernard", "248": "Eskimo dog, husky", "249": "malamute, malemute, Alaskan malamute", "250": "Siberian husky", "251": "dalmatian, coach dog, carriage dog", "252": "affenpinscher, monkey pinscher, monkey dog", "253": "basenji", "254": "pug, pug-dog", "255": "Leonberg", "256": "Newfoundland, Newfoundland dog", "257": "Great Pyrenees", "258": "Samoyed, Samoyede", "259": "Pomeranian", "260": "chow, chow chow", "261": "keeshond", "262": "Brabancon griffon", "263": "Pembroke, Pembroke Welsh corgi", "264": "Cardigan, Cardigan Welsh corgi", "265": "toy poodle", "266": "miniature poodle", "267": "standard poodle", "268": "Mexican hairless", "269": "timber wolf, grey wolf, gray wolf, Canis lupus", "270": "white wolf, Arctic wolf, Canis lupus tundrarum", "271": "red wolf, maned wolf, Canis rufus, Canis niger", "272": "coyote, prairie wolf, brush wolf, Canis latrans", "273": "dingo, warrigal, warragal, Canis dingo", "274": "dhole, Cuon alpinus", "275": "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus", "276": "hyena, hyaena", "277": "red fox, Vulpes vulpes", "278": "kit fox, Vulpes macrotis", "279": "Arctic fox, white fox, Alopex lagopus", "280": "grey fox, gray fox, Urocyon cinereoargenteus", "281": "tabby, tabby cat", "282": "tiger cat", "283": "Persian cat", "284": "Siamese cat, Siamese", "285": "Egyptian cat", "286": "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor", "287": "lynx, catamount", "288": "leopard, Panthera pardus", "289": "snow leopard, ounce, Panthera uncia", "290": "jaguar, panther, Panthera onca, Felis onca", "291": "lion, king of beasts, Panthera leo", "292": "tiger, Panthera tigris", "293": "cheetah, chetah, Acinonyx jubatus", "294": "brown bear, bruin, Ursus arctos", "295": "American black bear, black bear, Ursus americanus, Euarctos americanus", "296": "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus", "297": "sloth bear, Melursus ursinus, Ursus ursinus", "298": "mongoose", "299": "meerkat, mierkat", "300": "tiger beetle", "301": "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle", "302": "ground beetle, carabid beetle", "303": "long-horned beetle, longicorn, longicorn beetle", "304": "leaf beetle, chrysomelid", "305": "dung beetle", "306": "rhinoceros beetle", "307": "weevil", "308": "fly", "309": "bee", "310": "ant, emmet, pismire", "311": "grasshopper, hopper", "312": "cricket", "313": "walking stick, walkingstick, stick insect", "314": "cockroach, roach", "315": "mantis, mantid", "316": "cicada, cicala", "317": "leafhopper", "318": "lacewing, lacewing fly", "319": "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk", "320": "damselfly", "321": "admiral", "322": "ringlet, ringlet butterfly", "323": "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus", "324": "cabbage butterfly", "325": "sulphur butterfly, sulfur butterfly", "326": "lycaenid, lycaenid butterfly", "327": "starfish, sea star", "328": "sea urchin", "329": "sea cucumber, holothurian", "330": "wood rabbit, cottontail, cottontail rabbit", "331": "hare", "332": "Angora, Angora rabbit", "333": "hamster", "334": "porcupine, hedgehog", "335": "fox squirrel, eastern fox squirrel, Sciurus niger", "336": "marmot", "337": "beaver", "338": "guinea pig, Cavia cobaya", "339": "sorrel", "340": "zebra", "341": "hog, pig, grunter, squealer, Sus scrofa", "342": "wild boar, boar, Sus scrofa", "343": "warthog", "344": "hippopotamus, hippo, river horse, Hippopotamus amphibius", "345": "ox", "346": "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis", "347": "bison", "348": "ram, tup", "349": "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis", "350": "ibex, Capra ibex", "351": "hartebeest", "352": "impala, Aepyceros melampus", "353": "gazelle", "354": "Arabian camel, dromedary, Camelus dromedarius", "355": "llama", "356": "weasel", "357": "mink", "358": "polecat, fitch, foulmart, foumart, Mustela putorius", "359": "black-footed ferret, ferret, Mustela nigripes", "360": "otter", "361": "skunk, polecat, wood pussy", "362": "badger", "363": "armadillo", "364": "three-toed sloth, ai, Bradypus tridactylus", "365": "orangutan, orang, orangutang, Pongo pygmaeus", "366": "gorilla, Gorilla gorilla", "367": "chimpanzee, chimp, Pan troglodytes", "368": "gibbon, Hylobates lar", "369": "siamang, Hylobates syndactylus, Symphalangus syndactylus", "370": "guenon, guenon monkey", "371": "patas, hussar monkey, Erythrocebus patas", "372": "baboon", "373": "macaque", "374": "langur", "375": "colobus, colobus monkey", "376": "proboscis monkey, Nasalis larvatus", "377": "marmoset", "378": "capuchin, ringtail, Cebus capucinus", "379": "howler monkey, howler", "380": "titi, titi monkey", "381": "spider monkey, Ateles geoffroyi", "382": "squirrel monkey, Saimiri sciureus", "383": "Madagascar cat, ring-tailed lemur, Lemur catta", "384": "indri, indris, Indri indri, Indri brevicaudatus", "385": "Indian elephant, Elephas maximus", "386": "African elephant, Loxodonta africana", "387": "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens", "388": "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca", "389": "barracouta, snoek", "390": "eel", "391": "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch", "392": "rock beauty, Holocanthus tricolor", "393": "anemone fish", "394": "sturgeon", "395": "gar, garfish, garpike, billfish, Lepisosteus osseus", "396": "lionfish", "397": "puffer, pufferfish, blowfish, globefish", "398": "abacus", "399": "abaya", "400": "academic gown, academic robe, judge's robe", "401": "accordion, piano accordion, squeeze box", "402": "acoustic guitar", "403": "aircraft carrier, carrier, flattop, attack aircraft carrier", "404": "airliner", "405": "airship, dirigible", "406": "altar", "407": "ambulance", "408": "amphibian, amphibious vehicle", "409": "analog clock", "410": "apiary, bee house", "411": "apron", "412": "ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin", "413": "assault rifle, assault gun", "414": "backpack, back pack, knapsack, packsack, rucksack, haversack", "415": "bakery, bakeshop, bakehouse", "416": "balance beam, beam", "417": "balloon", "418": "ballpoint, ballpoint pen, ballpen, Biro", "419": "Band Aid", "420": "banjo", "421": "bannister, banister, balustrade, balusters, handrail", "422": "barbell", "423": "barber chair", "424": "barbershop", "425": "barn", "426": "barometer", "427": "barrel, cask", "428": "barrow, garden cart, lawn cart, wheelbarrow", "429": "baseball", "430": "basketball", "431": "bassinet", "432": "bassoon", "433": "bathing cap, swimming cap", "434": "bath towel", "435": "bathtub, bathing tub, bath, tub", "436": "beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon", "437": "beacon, lighthouse, beacon light, pharos", "438": "beaker", "439": "bearskin, busby, shako", "440": "beer bottle", "441": "beer glass", "442": "bell cote, bell cot", "443": "bib", "444": "bicycle-built-for-two, tandem bicycle, tandem", "445": "bikini, two-piece", "446": "binder, ring-binder", "447": "binoculars, field glasses, opera glasses", "448": "birdhouse", "449": "boathouse", "450": "bobsled, bobsleigh, bob", "451": "bolo tie, bolo, bola tie, bola", "452": "bonnet, poke bonnet", "453": "bookcase", "454": "bookshop, bookstore, bookstall", "455": "bottlecap", "456": "bow", "457": "bow tie, bow-tie, bowtie", "458": "brass, memorial tablet, plaque", "459": "brassiere, bra, bandeau", "460": "breakwater, groin, groyne, mole, bulwark, seawall, jetty", "461": "breastplate, aegis, egis", "462": "broom", "463": "bucket, pail", "464": "buckle", "465": "bulletproof vest", "466": "bullet train, bullet", "467": "butcher shop, meat market", "468": "cab, hack, taxi, taxicab", "469": "caldron, cauldron", "470": "candle, taper, wax light", "471": "cannon", "472": "canoe", "473": "can opener, tin opener", "474": "cardigan", "475": "car mirror", "476": "carousel, carrousel, merry-go-round, roundabout, whirligig", "477": "carpenter's kit, tool kit", "478": "carton", "479": "car wheel", "480": "cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM", "481": "cassette", "482": "cassette player", "483": "castle", "484": "catamaran", "485": "CD player", "486": "cello, violoncello", "487": "cellular telephone, cellular phone, cellphone, cell, mobile phone", "488": "chain", "489": "chainlink fence", "490": "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour", "491": "chain saw, chainsaw", "492": "chest", "493": "chiffonier, commode", "494": "chime, bell, gong", "495": "china cabinet, china closet", "496": "Christmas stocking", "497": "church, church building", "498": "cinema, movie theater, movie theatre, movie house, picture palace", "499": "cleaver, meat cleaver, chopper", "500": "cliff dwelling", "501": "cloak", "502": "clog, geta, patten, sabot", "503": "cocktail shaker", "504": "coffee mug", "505": "coffeepot", "506": "coil, spiral, volute, whorl, helix", "507": "combination lock", "508": "computer keyboard, keypad", "509": "confectionery, confectionary, candy store", "510": "container ship, containership, container vessel", "511": "convertible", "512": "corkscrew, bottle screw", "513": "cornet, horn, trumpet, trump", "514": "cowboy boot", "515": "cowboy hat, ten-gallon hat", "516": "cradle", "517": "crane2", "518": "crash helmet", "519": "crate", "520": "crib, cot", "521": "Crock Pot", "522": "croquet ball", "523": "crutch", "524": "cuirass", "525": "dam, dike, dyke", "526": "desk", "527": "desktop computer", "528": "dial telephone, dial phone", "529": "diaper, nappy, napkin", "530": "digital clock", "531": "digital watch", "532": "dining table, board", "533": "dishrag, dishcloth", "534": "dishwasher, dish washer, dishwashing machine", "535": "disk brake, disc brake", "536": "dock, dockage, docking facility", "537": "dogsled, dog sled, dog sleigh", "538": "dome", "539": "doormat, welcome mat", "540": "drilling platform, offshore rig", "541": "drum, membranophone, tympan", "542": "drumstick", "543": "dumbbell", "544": "Dutch oven", "545": "electric fan, blower", "546": "electric guitar", "547": "electric locomotive", "548": "entertainment center", "549": "envelope", "550": "espresso maker", "551": "face powder", "552": "feather boa, boa", "553": "file, file cabinet, filing cabinet", "554": "fireboat", "555": "fire engine, fire truck", "556": "fire screen, fireguard", "557": "flagpole, flagstaff", "558": "flute, transverse flute", "559": "folding chair", "560": "football helmet", "561": "forklift", "562": "fountain", "563": "fountain pen", "564": "four-poster", "565": "freight car", "566": "French horn, horn", "567": "frying pan, frypan, skillet", "568": "fur coat", "569": "garbage truck, dustcart", "570": "gasmask, respirator, gas helmet", "571": "gas pump, gasoline pump, petrol pump, island dispenser", "572": "goblet", "573": "go-kart", "574": "golf ball", "575": "golfcart, golf cart", "576": "gondola", "577": "gong, tam-tam", "578": "gown", "579": "grand piano, grand", "580": "greenhouse, nursery, glasshouse", "581": "grille, radiator grille", "582": "grocery store, grocery, food market, market", "583": "guillotine", "584": "hair slide", "585": "hair spray", "586": "half track", "587": "hammer", "588": "hamper", "589": "hand blower, blow dryer, blow drier, hair dryer, hair drier", "590": "hand-held computer, hand-held microcomputer", "591": "handkerchief, hankie, hanky, hankey", "592": "hard disc, hard disk, fixed disk", "593": "harmonica, mouth organ, harp, mouth harp", "594": "harp", "595": "harvester, reaper", "596": "hatchet", "597": "holster", "598": "home theater, home theatre", "599": "honeycomb", "600": "hook, claw", "601": "hoopskirt, crinoline", "602": "horizontal bar, high bar", "603": "horse cart, horse-cart", "604": "hourglass", "605": "iPod", "606": "iron, smoothing iron", "607": "jack-o'-lantern", "608": "jean, blue jean, denim", "609": "jeep, landrover", "610": "jersey, T-shirt, tee shirt", "611": "jigsaw puzzle", "612": "jinrikisha, ricksha, rickshaw", "613": "joystick", "614": "kimono", "615": "knee pad", "616": "knot", "617": "lab coat, laboratory coat", "618": "ladle", "619": "lampshade, lamp shade", "620": "laptop, laptop computer", "621": "lawn mower, mower", "622": "lens cap, lens cover", "623": "letter opener, paper knife, paperknife", "624": "library", "625": "lifeboat", "626": "lighter, light, igniter, ignitor", "627": "limousine, limo", "628": "liner, ocean liner", "629": "lipstick, lip rouge", "630": "Loafer", "631": "lotion", "632": "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system", "633": "loupe, jeweler's loupe", "634": "lumbermill, sawmill", "635": "magnetic compass", "636": "mailbag, postbag", "637": "mailbox, letter box", "638": "maillot", "639": "maillot, tank suit", "640": "manhole cover", "641": "maraca", "642": "marimba, xylophone", "643": "mask", "644": "matchstick", "645": "maypole", "646": "maze, labyrinth", "647": "measuring cup", "648": "medicine chest, medicine cabinet", "649": "megalith, megalithic structure", "650": "microphone, mike", "651": "microwave, microwave oven", "652": "military uniform", "653": "milk can", "654": "minibus", "655": "miniskirt, mini", "656": "minivan", "657": "missile", "658": "mitten", "659": "mixing bowl", "660": "mobile home, manufactured home", "661": "Model T", "662": "modem", "663": "monastery", "664": "monitor", "665": "moped", "666": "mortar", "667": "mortarboard", "668": "mosque", "669": "mosquito net", "670": "motor scooter, scooter", "671": "mountain bike, all-terrain bike, off-roader", "672": "mountain tent", "673": "mouse, computer mouse", "674": "mousetrap", "675": "moving van", "676": "muzzle", "677": "nail", "678": "neck brace", "679": "necklace", "680": "nipple", "681": "notebook, notebook computer", "682": "obelisk", "683": "oboe, hautboy, hautbois", "684": "ocarina, sweet potato", "685": "odometer, hodometer, mileometer, milometer", "686": "oil filter", "687": "organ, pipe organ", "688": "oscilloscope, scope, cathode-ray oscilloscope, CRO", "689": "overskirt", "690": "oxcart", "691": "oxygen mask", "692": "packet", "693": "paddle, boat paddle", "694": "paddlewheel, paddle wheel", "695": "padlock", "696": "paintbrush", "697": "pajama, pyjama, pj's, jammies", "698": "palace", "699": "panpipe, pandean pipe, syrinx", "700": "paper towel", "701": "parachute, chute", "702": "parallel bars, bars", "703": "park bench", "704": "parking meter", "705": "passenger car, coach, carriage", "706": "patio, terrace", "707": "pay-phone, pay-station", "708": "pedestal, plinth, footstall", "709": "pencil box, pencil case", "710": "pencil sharpener", "711": "perfume, essence", "712": "Petri dish", "713": "photocopier", "714": "pick, plectrum, plectron", "715": "pickelhaube", "716": "picket fence, paling", "717": "pickup, pickup truck", "718": "pier", "719": "piggy bank, penny bank", "720": "pill bottle", "721": "pillow", "722": "ping-pong ball", "723": "pinwheel", "724": "pirate, pirate ship", "725": "pitcher, ewer", "726": "plane, carpenter's plane, woodworking plane", "727": "planetarium", "728": "plastic bag", "729": "plate rack", "730": "plow, plough", "731": "plunger, plumber's helper", "732": "Polaroid camera, Polaroid Land camera", "733": "pole", "734": "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria", "735": "poncho", "736": "pool table, billiard table, snooker table", "737": "pop bottle, soda bottle", "738": "pot, flowerpot", "739": "potter's wheel", "740": "power drill", "741": "prayer rug, prayer mat", "742": "printer", "743": "prison, prison house", "744": "projectile, missile", "745": "projector", "746": "puck, hockey puck", "747": "punching bag, punch bag, punching ball, punchball", "748": "purse", "749": "quill, quill pen", "750": "quilt, comforter, comfort, puff", "751": "racer, race car, racing car", "752": "racket, racquet", "753": "radiator", "754": "radio, wireless", "755": "radio telescope, radio reflector", "756": "rain barrel", "757": "recreational vehicle, RV, R.V.", "758": "reel", "759": "reflex camera", "760": "refrigerator, icebox", "761": "remote control, remote", "762": "restaurant, eating house, eating place, eatery", "763": "revolver, six-gun, six-shooter", "764": "rifle", "765": "rocking chair, rocker", "766": "rotisserie", "767": "rubber eraser, rubber, pencil eraser", "768": "rugby ball", "769": "rule, ruler", "770": "running shoe", "771": "safe", "772": "safety pin", "773": "saltshaker, salt shaker", "774": "sandal", "775": "sarong", "776": "sax, saxophone", "777": "scabbard", "778": "scale, weighing machine", "779": "school bus", "780": "schooner", "781": "scoreboard", "782": "screen, CRT screen", "783": "screw", "784": "screwdriver", "785": "seat belt, seatbelt", "786": "sewing machine", "787": "shield, buckler", "788": "shoe shop, shoe-shop, shoe store", "789": "shoji", "790": "shopping basket", "791": "shopping cart", "792": "shovel", "793": "shower cap", "794": "shower curtain", "795": "ski", "796": "ski mask", "797": "sleeping bag", "798": "slide rule, slipstick", "799": "sliding door", "800": "slot, one-armed bandit", "801": "snorkel", "802": "snowmobile", "803": "snowplow, snowplough", "804": "soap dispenser", "805": "soccer ball", "806": "sock", "807": "solar dish, solar collector, solar furnace", "808": "sombrero", "809": "soup bowl", "810": "space bar", "811": "space heater", "812": "space shuttle", "813": "spatula", "814": "speedboat", "815": "spider web, spider's web", "816": "spindle", "817": "sports car, sport car", "818": "spotlight, spot", "819": "stage", "820": "steam locomotive", "821": "steel arch bridge", "822": "steel drum", "823": "stethoscope", "824": "stole", "825": "stone wall", "826": "stopwatch, stop watch", "827": "stove", "828": "strainer", "829": "streetcar, tram, tramcar, trolley, trolley car", "830": "stretcher", "831": "studio couch, day bed", "832": "stupa, tope", "833": "submarine, pigboat, sub, U-boat", "834": "suit, suit of clothes", "835": "sundial", "836": "sunglass", "837": "sunglasses, dark glasses, shades", "838": "sunscreen, sunblock, sun blocker", "839": "suspension bridge", "840": "swab, swob, mop", "841": "sweatshirt", "842": "swimming trunks, bathing trunks", "843": "swing", "844": "switch, electric switch, electrical switch", "845": "syringe", "846": "table lamp", "847": "tank, army tank, armored combat vehicle, armoured combat vehicle", "848": "tape player", "849": "teapot", "850": "teddy, teddy bear", "851": "television, television system", "852": "tennis ball", "853": "thatch, thatched roof", "854": "theater curtain, theatre curtain", "855": "thimble", "856": "thresher, thrasher, threshing machine", "857": "throne", "858": "tile roof", "859": "toaster", "860": "tobacco shop, tobacconist shop, tobacconist", "861": "toilet seat", "862": "torch", "863": "totem pole", "864": "tow truck, tow car, wrecker", "865": "toyshop", "866": "tractor", "867": "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi", "868": "tray", "869": "trench coat", "870": "tricycle, trike, velocipede", "871": "trimaran", "872": "tripod", "873": "triumphal arch", "874": "trolleybus, trolley coach, trackless trolley", "875": "trombone", "876": "tub, vat", "877": "turnstile", "878": "typewriter keyboard", "879": "umbrella", "880": "unicycle, monocycle", "881": "upright, upright piano", "882": "vacuum, vacuum cleaner", "883": "vase", "884": "vault", "885": "velvet", "886": "vending machine", "887": "vestment", "888": "viaduct", "889": "violin, fiddle", "890": "volleyball", "891": "waffle iron", "892": "wall clock", "893": "wallet, billfold, notecase, pocketbook", "894": "wardrobe, closet, press", "895": "warplane, military plane", "896": "washbasin, handbasin, washbowl, lavabo, wash-hand basin", "897": "washer, automatic washer, washing machine", "898": "water bottle", "899": "water jug", "900": "water tower", "901": "whiskey jug", "902": "whistle", "903": "wig", "904": "window screen", "905": "window shade", "906": "Windsor tie", "907": "wine bottle", "908": "wing", "909": "wok", "910": "wooden spoon", "911": "wool, woolen, woollen", "912": "worm fence, snake fence, snake-rail fence, Virginia fence", "913": "wreck", "914": "yawl", "915": "yurt", "916": "web site, website, internet site, site", "917": "comic book", "918": "crossword puzzle, crossword", "919": "street sign", "920": "traffic light, traffic signal, stoplight", "921": "book jacket, dust cover, dust jacket, dust wrapper", "922": "menu", "923": "plate", "924": "guacamole", "925": "consomme", "926": "hot pot, hotpot", "927": "trifle", "928": "ice cream, icecream", "929": "ice lolly, lolly, lollipop, popsicle", "930": "French loaf", "931": "bagel, beigel", "932": "pretzel", "933": "cheeseburger", "934": "hotdog, hot dog, red hot", "935": "mashed potato", "936": "head cabbage", "937": "broccoli", "938": "cauliflower", "939": "zucchini, courgette", "940": "spaghetti squash", "941": "acorn squash", "942": "butternut squash", "943": "cucumber, cuke", "944": "artichoke, globe artichoke", "945": "bell pepper", "946": "cardoon", "947": "mushroom", "948": "Granny Smith", "949": "strawberry", "950": "orange", "951": "lemon", "952": "fig", "953": "pineapple, ananas", "954": "banana", "955": "jackfruit, jak, jack", "956": "custard apple", "957": "pomegranate", "958": "hay", "959": "carbonara", "960": "chocolate sauce, chocolate syrup", "961": "dough", "962": "meat loaf, meatloaf", "963": "pizza, pizza pie", "964": "potpie", "965": "burrito", "966": "red wine", "967": "espresso", "968": "cup", "969": "eggnog", "970": "alp", "971": "bubble", "972": "cliff, drop, drop-off", "973": "coral reef", "974": "geyser", "975": "lakeside, lakeshore", "976": "promontory, headland, head, foreland", "977": "sandbar, sand bar", "978": "seashore, coast, seacoast, sea-coast", "979": "valley, vale", "980": "volcano", "981": "ballplayer, baseball player", "982": "groom, bridegroom", "983": "scuba diver", "984": "rapeseed", "985": "daisy", "986": "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum", "987": "corn", "988": "acorn", "989": "hip, rose hip, rosehip", "990": "buckeye, horse chestnut, conker", "991": "coral fungus", "992": "agaric", "993": "gyromitra", "994": "stinkhorn, carrion fungus", "995": "earthstar", "996": "hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa", "997": "bolete", "998": "ear, spike, capitulum", "999": "toilet tissue, toilet paper, bathroom tissue"}}}}]
|
{}
|
stojchet/lr_sft1-dl
|
default
| 0 | 30 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-07-07T05:43:40 | 2024-07-07T05:43:41 |
[{"name": "task_id", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "completion", "dtype": "string"}, {"name": "prompt", "dtype": "string"}]
|
{}
|
Finnish-NLP/aya-finnish-plus-deepl-translated-6-lang-sft
|
default
| 0 | 57 |
["size_categories:10K<n<100K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-02-15T21:46:36 | 2024-12-11T22:08:40 |
[{"name": "instruction_orig", "dtype": "string"}, {"name": "response_orig", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "response_rejected", "dtype": "null"}, {"name": "dataset_source", "dtype": "string"}, {"name": "dataset_type", "dtype": "string"}, {"name": "orig_lang", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "prompt_for_judging", "dtype": "string"}, {"name": "nemotron_judging_text", "dtype": "string"}, {"name": "task_class", "dtype": "string"}, {"name": "response_rejected_orig", "dtype": "null"}, {"name": "accepted_score_pairRM", "dtype": "null"}, {"name": "rejected_score_pairRM", "dtype": "null"}, {"name": "Yst\u00e4v\u00e4llisyys", "dtype": "int64"}, {"name": "Faktuaalisuus", "dtype": "int64"}, {"name": "Selkeys", "dtype": "int64"}, {"name": "Kielellinen laatu", "dtype": "int64"}, {"name": "Johdonmukaisuus", "dtype": "int64"}, {"name": "Erikoisluokittelu", "dtype": "int64"}, {"name": "Kokonaisarvosana", "dtype": "float64"}, {"name": "is_multiturn", "dtype": "bool"}, {"name": "instruction_lang", "dtype": "string"}, {"name": "instruction_lang_score", "dtype": "float64"}, {"name": "response_lang", "dtype": "string"}, {"name": "response_lang_score", "dtype": "float64"}, {"name": "text", "dtype": "string"}, {"name": "fin_chunk_ratio_full_text", "dtype": "float64"}, {"name": "fin_10_word_chunk_amt", "dtype": "int64"}, {"name": "non_fi_10_word_chunk_amt", "dtype": "int64"}, {"name": "text_fin_chunk_ratio_bin", "dtype": "int64"}, {"name": "instruction_perplexity_kenlm", "dtype": "int64"}, {"name": "response_perplexity_kenlm", "dtype": "int64"}, {"name": "combined_perplexity", "dtype": "int64"}]
|
{}
|
ServiceNow/nomsmarco_dssk_training_data
|
default
| 0 | 34 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-08-19T13:30:22 | 2024-08-19T13:31:52 |
[{"name": "context", "dtype": "string"}, {"name": "contexts_list", "sequence": "string"}, {"name": "titles_list", "sequence": "string"}, {"name": "useful_contexts", "sequence": "int64"}, {"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "sample_idx", "dtype": "int64"}, {"name": "dataset", "dtype": "string"}]
|
{}
|
SKB2021/rpf_con_split_dataset_v1
|
default
| 0 | 41 |
["size_categories:1K<n<10K", "format:parquet", "modality:image", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-16T09:12:11 | 2024-09-16T09:12:44 |
[{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "query", "dtype": "string"}, {"name": "answers", "dtype": "string"}]
|
{}
|
ZixuanKe/econometrics_unsup
|
default
| 0 | 33 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-09-30T02:25:59 | 2024-09-30T02:26:21 |
[{"name": "text", "dtype": "string"}, {"name": "topic", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "llama3_input_ids", "sequence": "int64"}, {"name": "llama3_attention_mask", "sequence": "int64"}, {"name": "llama3_special_tokens_mask", "sequence": "int64"}, {"name": "subset", "dtype": "int64"}]
|
{}
|
dnagpt/dna_english_seq
|
default
| 0 | 35 |
["license:mit", "size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
"mit"
| 2024-10-12T11:21:50 | 2024-10-18T13:02:43 |
[{"name": "text", "dtype": "string"}]
|
{}
|
cyrilzhang/TinyStories2-ascii-bpe-32k
|
default
| 0 | 34 |
["size_categories:100K<n<1M", "format:parquet", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-09-08T05:59:30 | 2023-09-08T06:00:38 |
[{"name": "input_ids", "sequence": "int32"}]
|
{}
|
brendan-ml/osrs-ExamplePlugin-train-20241205_012201-chunk-159
|
default
| 0 | 40 |
["size_categories:n<1K", "format:parquet", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-12-05T17:30:51 | 2024-12-05T17:31:23 |
[{"name": "skill", "sequence": "int64"}, {"name": "mouse_position", "sequence": "float64"}, {"name": "camera", "struct": [{"name": "pitch", "dtype": "float64"}, {"name": "yaw", "dtype": "float64"}, {"name": "zoom", "dtype": "float64"}]}, {"name": "location", "struct": [{"name": "global_polar", "struct": [{"name": "radius", "dtype": "float64"}, {"name": "theta", "dtype": "float64"}]}, {"name": "region", "sequence": "int64"}]}, {"name": "in_combat", "dtype": "bool"}, {"name": "animation", "sequence": "int64"}, {"name": "timing", "struct": [{"name": "clicks", "struct": [{"name": "left", "struct": [{"name": "next_frequency", "dtype": "float64"}, {"name": "time_since_last", "dtype": "null"}, {"name": "time_until_next", "dtype": "null"}]}, {"name": "middle", "struct": [{"name": "next_frequency", "dtype": "float64"}, {"name": "time_since_last", "dtype": "float64"}, {"name": "time_until_next", "dtype": "float64"}]}, {"name": "right", "struct": [{"name": "next_frequency", "dtype": "float64"}, {"name": "time_since_last", "dtype": "null"}, {"name": "time_until_next", "dtype": "null"}]}]}, {"name": "experience", "struct": [{"name": "next_frequency", "dtype": "float64"}, {"name": "time_since_last", "dtype": "float64"}, {"name": "time_until_next", "dtype": "float64"}]}]}, {"name": "image", "sequence": {"sequence": {"sequence": "uint8"}}}]
|
{}
|
AlanYky/tweets_topic_with_instructions
|
default
| 0 | 37 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-10-25T01:36:05 | 2024-10-25T01:36:07 |
[{"name": "instruction", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "target", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}]
|
{}
|
arbml/Ashaar_dataset
|
default
| 1 | 45 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-05-29T05:40:43 | 2024-07-21T11:10:41 |
[{"name": "poem_title", "dtype": "string"}, {"name": "poem_meter", "dtype": {"class_label": {"names": {"0": "\u0627\u0644\u0628\u0633\u064a\u0637", "1": "\u0627\u0644\u062e\u0641\u064a\u0641", "2": "\u0627\u0644\u0631\u062c\u0632", "3": "\u0627\u0644\u0631\u0645\u0644", "4": "\u0627\u0644\u0633\u0631\u064a\u0639", "5": "\u0627\u0644\u0637\u0648\u064a\u0644", "6": "\u0627\u0644\u0643\u0627\u0645\u0644", "7": "\u0627\u0644\u0645\u062a\u062f\u0627\u0631\u0643", "8": "\u0627\u0644\u0645\u062a\u0642\u0627\u0631\u0628", "9": "\u0627\u0644\u0645\u062c\u062a\u062b", "10": "\u0627\u0644\u0645\u062f\u064a\u062f", "11": "\u0627\u0644\u0645\u0636\u0627\u0631\u0639", "12": "\u0627\u0644\u0645\u0642\u062a\u0636\u0628", "13": "\u0627\u0644\u0645\u0646\u0633\u0631\u062d", "14": "\u0627\u0644\u0646\u062b\u0631", "15": "\u0627\u0644\u0647\u0632\u062c", "16": "\u0627\u0644\u0648\u0627\u0641\u0631"}}}}, {"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"}]
|
{}
|
nbalepur/gsm8k_preferences
|
default
| 0 | 40 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-10-21T01:00:54 | 2024-10-21T01:00:55 |
[{"name": "id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "meta_data", "struct": [{"name": "full_answer", "dtype": "string"}]}]
|
{}
|
kristmh/med_vs_random
|
default
| 0 | 33 |
["size_categories:100K<n<1M", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-12-12T10:36:45 | 2023-12-12T10:37:27 |
[{"name": "text_clean", "dtype": "string"}, {"name": "labels", "dtype": "int64"}, {"name": "class", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}]
|
{}
|
bitmind/celeb-a-hq___6666-to-9998___RealVisXL_V4.0
|
default
| 0 | 48 |
["size_categories:1K<n<10K", "format:parquet", "modality:image", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-07T02:06:17 | 2024-11-07T02:06:44 |
[{"name": "image", "dtype": "image"}]
|
{}
|
mazkobot/train_valid_digit_mask_augmented_raw
|
default
| 0 | 31 |
["size_categories:10K<n<100K", "format:parquet", "modality:audio", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-05-18T11:39:58 | 2023-05-18T11:40:10 |
[{"name": "audio", "dtype": "audio"}, {"name": "label", "dtype": "bool"}]
|
{}
|
unionai/flyte-slack-data
|
default
| 1 | 36 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2023-05-24T07:00:44 | 2023-05-24T07:38:50 |
[{"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}]
|
{}
|
1231czx/openhermes_clean
|
default
| 0 | 38 |
["size_categories:100K<n<1M", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-10-16T19:24:03 | 2024-10-16T19:24:36 |
[{"name": "conversations", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}]
|
{}
|
barc0/induction_heavy_100k_jsonl
|
default
| 2 | 190 |
["size_categories:10K<n<100K", "format:parquet", "modality:text", "library:datasets", "library:dask", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-10-25T19:00:47 | 2024-10-25T19:00:54 |
[{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}]
|
{}
|
APaul1/Inmation_QA
|
default
| 0 | 33 |
["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-05-27T19:34:50 | 2024-05-30T20:10:17 |
[{"name": "Question", "dtype": "string"}, {"name": "Answer", "dtype": "string"}, {"name": "text", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}]
|
{}
|
Mahisha268/snli-phi-transformed
|
default
| 0 | 39 |
["size_categories:1K<n<10K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
|
null
|
null
| 2024-11-04T12:23:41 | 2024-11-04T13:11:27 |
[{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2": "contradiction"}}}}, {"name": "text", "dtype": "string"}]
|
{}
|
kan5r/microwave_door_open_v1.5
|
default
| 0 | 30 |
["region:us"]
|
null
|
null
| 2024-09-02T08:56:39 | 2024-09-02T14:17:26 |
[{"name": "observation.images.hand_camera", "dtype": "video_frame"}, {"name": "observation.images.left_front_camera", "dtype": "video_frame"}, {"name": "observation.images.overhead_camera", "dtype": "video_frame"}, {"name": "observation.images.right_front_camera", "dtype": "video_frame"}, {"name": "observation.state", "sequence": "float32", "length": 7}, {"name": "action", "sequence": "float32", "length": 7}, {"name": "episode_index", "dtype": "int64"}, {"name": "frame_index", "dtype": "int64"}, {"name": "timestamp", "dtype": "float32"}, {"name": "next.done", "dtype": "bool"}, {"name": "index", "dtype": "int64"}]
|
{}
|
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