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5ae1c542ca353561a060c61089fc98a0911f5924
|
# Dataset Card for "resume_ner17_sl"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
tsa17/resume_ner17_sl
|
[
"region:us"
] |
2023-05-07T15:05:28+00:00
|
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "prediction", "list": [{"name": "end", "dtype": "int64"}, {"name": "label", "dtype": "string"}, {"name": "score", "dtype": "float64"}, {"name": "start", "dtype": "int64"}]}, {"name": "prediction_agent", "dtype": "string"}, {"name": "annotation", "dtype": "null"}, {"name": "annotation_agent", "dtype": "null"}, {"name": "vectors", "dtype": "null"}, {"name": "id", "dtype": "string"}, {"name": "metadata", "dtype": "null"}, {"name": "status", "dtype": "string"}, {"name": "event_timestamp", "dtype": "timestamp[us]"}, {"name": "metrics", "struct": [{"name": "annotated", "struct": [{"name": "mentions", "sequence": "null"}, {"name": "tags", "sequence": "null"}]}, {"name": "predicted", "struct": [{"name": "mentions", "list": [{"name": "capitalness", "dtype": "string"}, {"name": "chars_length", "dtype": "int64"}, {"name": "density", "dtype": "float64"}, {"name": "label", "dtype": "string"}, {"name": "score", "dtype": "float64"}, {"name": "tokens_length", "dtype": "int64"}, {"name": "value", "dtype": "string"}]}, {"name": "tags", "list": [{"name": "tag", "dtype": "string"}, {"name": "value", "dtype": "string"}]}]}, {"name": "text_length", "dtype": "int64"}, {"name": "tokens", "list": [{"name": "capitalness", "dtype": "string"}, {"name": "char_end", "dtype": "int64"}, {"name": "char_start", "dtype": "int64"}, {"name": "custom", "dtype": "null"}, {"name": "idx", "dtype": "int64"}, {"name": "length", "dtype": "int64"}, {"name": "score", "dtype": "null"}, {"name": "tag", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "tokens_length", "dtype": "int64"}]}], "splits": [{"name": "train", "num_bytes": 474108, "num_examples": 21}], "download_size": 172858, "dataset_size": 474108}}
|
2023-05-07T15:05:30+00:00
|
a4afa0aa3ab6ed1e22b14118b928c6c5452aa85a
|
# Dataset Card for "kids_phoneme_asr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
mirfan899/kids_phoneme_asr
|
[
"region:us"
] |
2023-05-07T15:07:55+00:00
|
{"dataset_info": {"features": [{"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "phonetic", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1173701879.864, "num_examples": 4976}], "download_size": 1156934241, "dataset_size": 1173701879.864}}
|
2023-05-17T03:29:32+00:00
|
fcfbf7f3d5a705fd5edf054003a911226652c756
|
# Dataset Card for "turkish-nlp-suite/turkish-wikiNER"
<img src="https://raw.githubusercontent.com/turkish-nlp-suite/.github/main/profile/wiki.png" width="20%" height="20%">
## Dataset Description
- **Repository:** [Turkish-WikiNER](https://github.com/turkish-nlp-suite/Turkish-Wiki-NER-Dataset)
- **Paper:** [ACL link]()
- **Dataset:** Turkish-WikiNER
- **Domain:** Wiki
- **Number of Labels:** 18
### Dataset Summary
Turkish NER dataset from Wikipedia sentences. 20.000 sentences are sampled and re-annotated from [Kuzgunlar NER dataset](https://data.mendeley.com/datasets/cdcztymf4k/1).
Annotations are done by [Co-one](https://co-one.co/). Many thanks to them for their contributions. This dataset is also used in our brand new spaCy Turkish packages.
### Dataset Instances
An instance of this dataset looks as follows:
```
{
"tokens": ["Çekimler", "5", "Temmuz", "2005", "tarihinde", "Reebok", "Stadyum", ",", "Bolton", ",", "İngiltere'de", "yapılmıştır", "."],
"tags": [O", "B-DATE", "I-DATE", "I-DATE", "O", "B-FAC", "I-FAC", "O", "B-GPE", "O", "B-GPE", "O", "O"]
}
```
or even better:

### Labels
- CARDINAL
- DATE
- EVENT
- FAC
- GPE
- LANGUAGE
- LAW
- LOC
- MONEY
- NORP
- ORDINAL
- ORG
- PERCENT
- PERSON
- PRODUCT
- QUANTITY
- TIME
- TITLE
- WORK_OF_ART
### Data Split
| name |train|validation|test|
|---------|----:|---------:|---:|
|Turkish-WikiNER|18000| 1000|1000|
### Citation
This work is supported by Google Developer Experts Program. Part of Duygu 2022 Fall-Winter collection, "Turkish NLP with Duygu"/ "Duygu'yla Türkçe NLP". All rights reserved. If you'd like to use this dataset in your own work, please kindly cite [A Diverse Set of Freely Available Linguistic Resources for Turkish](https://aclanthology.org/2023.acl-long.768/) :
```
@inproceedings{altinok-2023-diverse,
title = "A Diverse Set of Freely Available Linguistic Resources for {T}urkish",
author = "Altinok, Duygu",
booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.acl-long.768",
pages = "13739--13750",
abstract = "This study presents a diverse set of freely available linguistic resources for Turkish natural language processing, including corpora, pretrained models and education material. Although Turkish is spoken by a sizeable population of over 80 million people, Turkish linguistic resources for natural language processing remain scarce. In this study, we provide corpora to allow practitioners to build their own applications and pretrained models that would assist industry researchers in creating quick prototypes. The provided corpora include named entity recognition datasets of diverse genres, including Wikipedia articles and supplement products customer reviews. In addition, crawling e-commerce and movie reviews websites, we compiled several sentiment analysis datasets of different genres. Our linguistic resources for Turkish also include pretrained spaCy language models. To the best of our knowledge, our models are the first spaCy models trained for the Turkish language. Finally, we provide various types of education material, such as video tutorials and code examples, that can support the interested audience on practicing Turkish NLP. The advantages of our linguistic resources are three-fold: they are freely available, they are first of their kind, and they are easy to use in a broad range of implementations. Along with a thorough description of the resource creation process, we also explain the position of our resources in the Turkish NLP world.",
}
```
|
turkish-nlp-suite/turkish-wikiNER
|
[
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:tr",
"license:cc-by-sa-4.0",
"region:us"
] |
2023-05-07T15:41:04+00:00
|
{"language": ["tr"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "Turkish-WikiNER"}
|
2023-09-26T09:37:00+00:00
|
a6ad4c30438eccb11d939d83e2d95b813475a81c
|
# Dataset Card for "final_train_v2_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
mHossain/final_train_v2_test
|
[
"region:us"
] |
2023-05-07T16:18:13+00:00
|
{"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "int64"}, {"name": "input_text", "dtype": "string"}, {"name": "target_text", "dtype": "string"}, {"name": "prefix", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 304216.2, "num_examples": 900}, {"name": "test", "num_bytes": 33801.8, "num_examples": 100}], "download_size": 154404, "dataset_size": 338018.0}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}]}
|
2023-08-19T02:08:16+00:00
|
d506620111874665035140a5a561460bde1daa58
|
# Dataset Card for The Tatoeba Translation Challenge | All In One
~7.3M entries.
Just more user-friendly version that combines all of the entries of original dataset in a single file:
https://huggingface.co/datasets/Helsinki-NLP/tatoeba_mt
|
0x22almostEvil/tatoeba-mt-all-in-one
|
[
"annotations_creators:Helsinki-NLP",
"language_creators:crowdsourced",
"multilinguality:translation",
"size_categories:1M<n<10M",
"source_datasets:Helsinki-NLP/tatoeba_mt",
"language:af",
"language:ar",
"language:az",
"language:be",
"language:bg",
"language:bn",
"language:br",
"language:bs",
"language:ca",
"language:ch",
"language:cs",
"language:cv",
"language:cy",
"language:da",
"language:de",
"language:el",
"language:en",
"language:eo",
"language:es",
"language:et",
"language:eu",
"language:fa",
"language:fi",
"language:fo",
"language:fr",
"language:fy",
"language:ga",
"language:gd",
"language:gl",
"language:gn",
"language:he",
"language:hi",
"language:hr",
"language:hu",
"language:hy",
"language:ia",
"language:id",
"language:ie",
"language:io",
"language:is",
"language:it",
"language:ja",
"language:jv",
"language:ka",
"language:kk",
"language:km",
"language:ko",
"language:ku",
"language:kw",
"language:la",
"language:lb",
"language:lt",
"language:lv",
"language:mi",
"language:mk",
"language:ml",
"language:mn",
"language:mr",
"language:ms",
"language:mt",
"language:my",
"language:nb",
"language:nl",
"language:nn",
"language:no",
"language:oc",
"language:pl",
"language:pt",
"language:qu",
"language:rn",
"language:ro",
"language:ru",
"language:sh",
"language:sl",
"language:sq",
"language:sr",
"language:sv",
"language:sw",
"language:ta",
"language:te",
"language:th",
"language:tk",
"language:tl",
"language:tr",
"language:tt",
"language:ug",
"language:uk",
"language:ur",
"language:uz",
"language:vi",
"language:vo",
"language:yi",
"language:zh",
"license:cc-by-2.0",
"region:us"
] |
2023-05-07T16:28:20+00:00
|
{"annotations_creators": ["Helsinki-NLP"], "language_creators": ["crowdsourced"], "language": ["af", "ar", "az", "be", "bg", "bn", "br", "bs", "ca", "ch", "cs", "cv", "cy", "da", "de", "el", "en", "eo", "es", "et", "eu", "fa", "fi", "fo", "fr", "fy", "ga", "gd", "gl", "gn", "he", "hi", "hr", "hu", "hy", "ia", "id", "ie", "io", "is", "it", "ja", "jv", "ka", "kk", "km", "ko", "ku", "kw", "la", "lb", "lt", "lv", "mi", "mk", "ml", "mn", "mr", "ms", "mt", "my", "nb", "nl", "nn", "no", "oc", "pl", "pt", "qu", "rn", "ro", "ru", "sh", "sl", "sq", "sr", "sv", "sw", "ta", "te", "th", "tk", "tl", "tr", "tt", "ug", "uk", "ur", "uz", "vi", "vo", "yi", "zh"], "license": ["cc-by-2.0"], "multilinguality": ["translation"], "size_categories": ["1M<n<10M"], "source_datasets": ["Helsinki-NLP/tatoeba_mt"], "pretty_name": "The Tatoeba Translation Challenge | All In One", "datasets": ["Helsinki-NLP/tatoeba_mt"]}
|
2023-05-07T22:54:17+00:00
|
dbb43d346e905e40fe3ca9c7229f0d6fe7af6469
|
yessirr667/yess
|
[
"license:unknown",
"region:us"
] |
2023-05-07T16:39:38+00:00
|
{"license": "unknown"}
|
2023-05-07T16:39:38+00:00
|
|
e9e3c998f3e220b860a5cc648760f80cbc62cc3a
|
janak2/3second-small-2
|
[
"region:us"
] |
2023-05-07T16:50:15+00:00
|
{}
|
2023-05-07T16:57:37+00:00
|
|
2f704437593cd96ea09302201f69f5be2a8b4cb2
|
BubuDavid/Selena-Gomez-With-Lyrics-And-Spotify-Audio-Features
|
[
"license:creativeml-openrail-m",
"region:us"
] |
2023-05-07T17:22:30+00:00
|
{"license": "creativeml-openrail-m"}
|
2023-05-07T17:31:30+00:00
|
|
197b90319a26e516b9fc4feef912204b75487e04
|
# Dataset Card for turkish-nlp-suite/Corona-mini
## Dataset Description
- **Repository:** [Turkish Corona-mini corpus](https://github.com/turkish-nlp-suite/Corona-mini-dataset)
- **Paper:** [ACL link]()
- **Dataset:** Corona-mini
- **Domain:** Social Media
<img src="https://raw.githubusercontent.com/turkish-nlp-suite/.github/main/profile/corona-mini.png" width="20%" height="20%">
### Dataset Summary
This is a tiny Turkish corpus consisting of comments about Corona symptoms. The corpus is compiled from two Ekşisözlük headlines "covid-19 belirtileri" and "gün gün koronavirüs belirtileri":
https://eksisozluk.com/covid-19-belirtileri--6416646
https://eksisozluk.com/gun-gun-koronavirus-belirtileri--6757665
This corpus
- contains 178 raw, 175 processed comments
- all comments are in Turkish
- comes in 2 versions, raw and mildly processed.
For the processed version html tags, expressions in brackets and some other tags are removed.
if you want more information about how this dataset is crafted you can watch the playlist of my campaign "Turkish NLP with Duygu": [How to compile datasets](https://www.youtube.com/playlist?list=PLJTHlIwB8Vco4ONU_mCNOYIcVyFA9QrBr).
If you want to process this dataset with spaCy Turkish you can watch: [Recipes with spaCy Turkish](https://www.youtube.com/watch?v=w0WCkgCOzzw&list=PLJTHlIwB8VcoWxYHnsZOQCxWOraW42NBj)
### Dataset Instances
An instance of this dataset looks as follows:
```
{
"text": "beni sarsmayan belirtilerdir, 2 doz biontech aşılıyım, 2. doz üzerinden 5 aydan çok geçmişti cuma : ayın 12 si akşamı açık havada az üşümeye maruz kaldım."
}
```
### Data Split
| name |train|
|---------|----:|
|Corona-mini|175|
### Citation
This work is supported by Google Developer Experts Program. Part of Duygu 2022 Fall-Winter collection, "Turkish NLP with Duygu"/ "Duygu'yla Türkçe NLP". All rights reserved. If you'd like to use this dataset in your own work, please kindly cite [A Diverse Set of Freely Available Linguistic Resources for Turkish](https://aclanthology.org/2023.acl-long.768/) :
```
@inproceedings{altinok-2023-diverse,
title = "A Diverse Set of Freely Available Linguistic Resources for {T}urkish",
author = "Altinok, Duygu",
booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.acl-long.768",
pages = "13739--13750",
abstract = "This study presents a diverse set of freely available linguistic resources for Turkish natural language processing, including corpora, pretrained models and education material. Although Turkish is spoken by a sizeable population of over 80 million people, Turkish linguistic resources for natural language processing remain scarce. In this study, we provide corpora to allow practitioners to build their own applications and pretrained models that would assist industry researchers in creating quick prototypes. The provided corpora include named entity recognition datasets of diverse genres, including Wikipedia articles and supplement products customer reviews. In addition, crawling e-commerce and movie reviews websites, we compiled several sentiment analysis datasets of different genres. Our linguistic resources for Turkish also include pretrained spaCy language models. To the best of our knowledge, our models are the first spaCy models trained for the Turkish language. Finally, we provide various types of education material, such as video tutorials and code examples, that can support the interested audience on practicing Turkish NLP. The advantages of our linguistic resources are three-fold: they are freely available, they are first of their kind, and they are easy to use in a broad range of implementations. Along with a thorough description of the resource creation process, we also explain the position of our resources in the Turkish NLP world.",
}
```
|
turkish-nlp-suite/Corona-mini
|
[
"task_categories:summarization",
"multilinguality:monolingual",
"size_categories:n<1K",
"language:tr",
"license:cc-by-sa-4.0",
"region:us"
] |
2023-05-07T17:29:06+00:00
|
{"language": ["tr"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "task_categories": ["summarization"], "pretty_name": "Corona-mini"}
|
2023-09-20T14:04:26+00:00
|
b1755946434bde04df6de82db4112495ea0fca09
|
akorson/allenai
|
[
"license:openrail",
"region:us"
] |
2023-05-07T17:30:23+00:00
|
{"license": "openrail"}
|
2023-05-07T17:31:06+00:00
|
|
f8bc7793ee7ba6a9e4f38a94e533ce1432eef83a
|
ezezibox1/prueba
|
[
"license:creativeml-openrail-m",
"region:us"
] |
2023-05-07T17:33:44+00:00
|
{"license": "creativeml-openrail-m"}
|
2023-05-07T17:33:44+00:00
|
|
6fb4747ff82c263fe464e2e9b2456ddd6c43a8f0
|
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed]
|
veraaaaa12345/Test1
|
[
"region:us"
] |
2023-05-07T17:54:15+00:00
|
{}
|
2023-05-07T17:55:44+00:00
|
db8d8841ba5d932456c6cb1ae8e19f4c25f49d25
|
sid9993/Text-Classy
|
[
"license:apache-2.0",
"region:us"
] |
2023-05-07T18:16:00+00:00
|
{"license": "apache-2.0"}
|
2023-05-07T18:40:40+00:00
|
|
42c84248845d9a07bc09d7c14a2af00b6197fe96
|
# Dataset Card for "imsdb-genre-movie-scripts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
aneeshas/imsdb-genre-movie-scripts
|
[
"region:us"
] |
2023-05-07T18:16:43+00:00
|
{"dataset_info": {"features": [{"name": "Action", "dtype": "string"}, {"name": "Horror", "dtype": "string"}, {"name": "Sci-Fi", "dtype": "string"}, {"name": "Comedy", "dtype": "string"}, {"name": "Drama", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 180531797, "num_examples": 150}], "download_size": 80225374, "dataset_size": 180531797}}
|
2023-05-07T19:36:37+00:00
|
092feeeba8130c08d96cf6d3301eb7dc1645a4d8
|
# Dataset Card for "ruCoNaLa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
AlanRobotics/ruCoNaLa
|
[
"region:us"
] |
2023-05-07T18:59:46+00:00
|
{"dataset_info": {"features": [{"name": "snippet", "dtype": "string"}, {"name": "translated", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1601026, "num_examples": 11125}], "download_size": 892408, "dataset_size": 1601026}}
|
2023-05-07T18:59:55+00:00
|
7fb0884c4d4080dab1f6936ea21e88d786539bf3
|
Unfaithful/Ceog
|
[
"license:openrail",
"region:us"
] |
2023-05-07T19:16:29+00:00
|
{"license": "openrail"}
|
2023-05-07T19:25:26+00:00
|
|
13ca8409e2750e77fc249c0fa07a79d85089834b
|
# Dataset Card for "matreshka"

(image generated by Kandinsky-2.1 neural network)
Russian dialogues, the persona of the first interlocutor, and a summary of the dialogue generated by GPT-3.5, starting with the first phrase given in the prompt.
The matreshka dataset is a multi task datasey, you can use it for the task of summarizing a dialogue or generating a dialogue. Contains life dialogues and is also filled with facts about the world. The dataset was going to give the interlocutor a human manner of communication.
After generation, some data contained a format that did not match the request, so we stripped the data with regular expressions. Next, we checked for the correct data type in each line, and changed to the correct format if necessary.
authors' telegram channels: [@nadlskom](https://t.me/nadlskom), [@lovedeathtransformers](https://t.me/lovedeathtransformers)
|
zjkarina/matreshka
|
[
"task_categories:conversational",
"task_categories:summarization",
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:ru",
"license:cc-by-4.0",
"region:us"
] |
2023-05-07T19:31:03+00:00
|
{"language": ["ru"], "license": "cc-by-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["conversational", "summarization", "text-generation"], "pretty_name": "matreshka", "dataset_info": {"features": [{"name": "role", "sequence": "string"}, {"name": "dialog", "sequence": "string"}, {"name": "persona", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7320311, "num_examples": 6655}, {"name": "validation", "num_bytes": 1806432, "num_examples": 1664}], "download_size": 4092810, "dataset_size": 9126743}}
|
2023-05-13T14:38:52+00:00
|
0178f3bb6a2484771b63fea5c9e003ec6569e328
|
andrewkatumba/cassava_leaf_diseases_dsa_2023
|
[
"license:cc-by-sa-4.0",
"region:us"
] |
2023-05-07T20:18:23+00:00
|
{"license": "cc-by-sa-4.0", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "cbsd", "1": "cmd", "2": "healthy"}}}}], "splits": [{"name": "train", "num_bytes": 2065460109.0, "num_examples": 900}, {"name": "test", "num_bytes": 334351258.0, "num_examples": 150}], "download_size": 2392507756, "dataset_size": 2399811367.0}}
|
2023-05-07T20:48:08+00:00
|
|
a00c4e697f0abf5ac0e35a122da61e6ee8cbfa3a
|
# Dataset Card for "asr-interviews-trainer-full"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joagonzalez/asr-interviews-trainer-full
|
[
"region:us"
] |
2023-05-07T20:21:57+00:00
|
{"dataset_info": {"features": [{"name": "filename", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}, {"name": "speaker", "dtype": "string"}, {"name": "duration", "dtype": "float64"}, {"name": "filesize", "dtype": "float64"}, {"name": "channels", "dtype": "int64"}, {"name": "sample_rate", "dtype": "int64"}, {"name": "bitrate", "dtype": "int64"}, {"name": "word_count", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 615771491.6460373, "num_examples": 1505}], "download_size": 614079514, "dataset_size": 615771491.6460373}}
|
2023-05-07T20:26:47+00:00
|
b6d715b71aaf4de2ff79f1f4e3b17e10bafb7cd2
|
# Dataset Card for "imsdb-action-movie-scripts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
aneeshas/imsdb-action-movie-scripts
|
[
"region:us"
] |
2023-05-07T20:25:47+00:00
|
{"dataset_info": {"features": [{"name": "Action", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36309492, "num_examples": 150}], "download_size": 15207860, "dataset_size": 36309492}}
|
2023-05-07T20:25:58+00:00
|
b3c65b40060d3a3508117029b84456317e989297
|
# Dataset Card for "imsdb-horror-movie-scripts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
aneeshas/imsdb-horror-movie-scripts
|
[
"region:us"
] |
2023-05-07T20:26:27+00:00
|
{"dataset_info": {"features": [{"name": "Horror", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 37500587, "num_examples": 150}], "download_size": 17513933, "dataset_size": 37500587}}
|
2023-05-07T20:26:38+00:00
|
246cf77ba14dd854d27de2685b6bbe8ec3ad4143
|
# Dataset Card for "asr-interviews-test-full"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joagonzalez/asr-interviews-test-full
|
[
"region:us"
] |
2023-05-07T20:26:48+00:00
|
{"dataset_info": {"features": [{"name": "filename", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "sentence", "dtype": "string"}, {"name": "speaker", "dtype": "string"}, {"name": "duration", "dtype": "float64"}, {"name": "filesize", "dtype": "float64"}, {"name": "channels", "dtype": "int64"}, {"name": "sample_rate", "dtype": "int64"}, {"name": "bitrate", "dtype": "int64"}, {"name": "word_count", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 117835383.01896264, "num_examples": 288}], "download_size": 119397139, "dataset_size": 117835383.01896264}}
|
2023-05-07T20:27:47+00:00
|
c52dfeec9ff24f45583ee0448398cbf59f76a15b
|
# Dataset Card for "imsdb-sci-fi-movie-scripts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
aneeshas/imsdb-sci-fi-movie-scripts
|
[
"region:us"
] |
2023-05-07T20:26:59+00:00
|
{"dataset_info": {"features": [{"name": "Sci-Fi", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35727494, "num_examples": 150}], "download_size": 16207093, "dataset_size": 35727494}}
|
2023-05-07T20:27:08+00:00
|
0c090ac7ee436595ad3fa1fc77e80b8e06cb4b6e
|
# Dataset Card for "imsdb-comedy-movie-scripts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
aneeshas/imsdb-comedy-movie-scripts
|
[
"region:us"
] |
2023-05-07T20:27:31+00:00
|
{"dataset_info": {"features": [{"name": "Comedy", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 34816719, "num_examples": 150}], "download_size": 15474490, "dataset_size": 34816719}}
|
2023-05-07T20:27:39+00:00
|
69e7cb5b6c332eefbdb54e20e52bcb37cf1cd89e
|
# Dataset Card for "imsdb-drama-movie-scripts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
aneeshas/imsdb-drama-movie-scripts
|
[
"region:us"
] |
2023-05-07T20:28:18+00:00
|
{"dataset_info": {"features": [{"name": "Drama", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36177505, "num_examples": 150}], "download_size": 15823464, "dataset_size": 36177505}}
|
2023-05-07T20:28:26+00:00
|
1f21097ced1dc5707bb1da79496f6f3636721938
|
i messed up the dataset a little but it is fine
|
breadlicker45/huggingface-models-15M
|
[
"size_categories:10M<n<100M",
"region:us"
] |
2023-05-07T21:09:03+00:00
|
{"size_categories": ["10M<n<100M"]}
|
2023-05-07T22:46:49+00:00
|
ec5c4aaf1cc9df7b8cb2e61967ac8665be138283
|
# Dataset Card for "Hatefulmemes_test_google_flan_t5_xxl_mode_T_A_D_PNP_FILTER_C_OCR_rices_ns_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
CVasNLPExperiments/Hatefulmemes_test_google_flan_t5_xxl_mode_T_A_D_PNP_FILTER_C_OCR_rices_ns_1000
|
[
"region:us"
] |
2023-05-07T21:49:15+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "prompt", "sequence": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_0_clip_tags_LAION_ViT_H_14_2B_with_openai_Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full_DETA_detections_deta_swin_large_o365_coco_classes_caption_module_random_text", "num_bytes": 9985505, "num_examples": 1000}, {"name": "fewshot_0_clip_tags_ViT_L_14_with_openai_Attributes_ViT_L_14_descriptors_text_davinci_003_full_DETA_detections_deta_swin_large_o365_coco_classes_caption_module_random_text", "num_bytes": 9989134, "num_examples": 1000}], "download_size": 3296730, "dataset_size": 19974639}}
|
2023-05-08T23:54:29+00:00
|
3eccca92cf1d5c31fc1340e735714fd8199c13c3
|
# Dataset Card for "rmh_tokenized_1024"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
stoddur/rmh_tokenized_1024
|
[
"region:us"
] |
2023-05-07T21:53:41+00:00
|
{"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 74760271152, "num_examples": 5610948}], "download_size": 0, "dataset_size": 74760271152}}
|
2023-05-09T19:02:21+00:00
|
ff5d0774684a94268e535799e1c3d18c83715920
|
# Dataset Card for "Hatefulmemes_test_google_flan_t5_xxl_mode_C_T_A_D_PNP_FILTER_OCR_rices_ns_1000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
CVasNLPExperiments/Hatefulmemes_test_google_flan_t5_xxl_mode_C_T_A_D_PNP_FILTER_OCR_rices_ns_1000
|
[
"region:us"
] |
2023-05-07T22:03:33+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "prompt", "sequence": "string"}, {"name": "true_label", "dtype": "string"}, {"name": "prediction", "dtype": "string"}], "splits": [{"name": "fewshot_0_clip_tags_LAION_ViT_H_14_2B_with_openai_Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full_DETA_detections_deta_swin_large_o365_coco_classes_caption_module_random_text", "num_bytes": 9912317, "num_examples": 1000}], "download_size": 1648165, "dataset_size": 9912317}}
|
2023-05-07T22:03:39+00:00
|
4de7d9854fb29a00876505b1ab5bb1b3d4f0ccd8
|
Nyaa97/art_sr_vc1_mini1
|
[
"license:cc-by-sa-4.0",
"region:us"
] |
2023-05-07T22:28:35+00:00
|
{"license": "cc-by-sa-4.0", "dataset_info": {"features": [{"name": "id1", "dtype": "string"}, {"name": "path1", "dtype": "string"}, {"name": "audio1", "dtype": "audio"}, {"name": "id2", "dtype": "string"}, {"name": "path2", "dtype": "string"}, {"name": "audio2", "dtype": "audio"}, {"name": "same_speaker", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 33049342752.0, "num_examples": 62592}], "download_size": 4888482974, "dataset_size": 33049342752.0}}
|
2023-05-08T03:28:16+00:00
|
|
4caf365b37b5fd77e78f2da47ba76a0e603049bf
|
openaccess-ai-collective/jeopardy
|
[
"license:apache-2.0",
"region:us"
] |
2023-05-07T22:47:52+00:00
|
{"license": "apache-2.0"}
|
2023-05-07T22:54:40+00:00
|
|
d4b3c8d85e6b9e0dd4e3ba85f046a9517a847d0c
|
This dataset is the ShareGPT unfiltered dataset anon8231489123/ShareGPT_Vicuna_unfiltered, removing instances of blatant alignment and removes duplicates.
33714 instructions remain.
clean.py was first ran on hakurei/open-instruct-v1/subsets/sharegpt_data.json and then dedupe.py was ran on it.
inspired by https://huggingface.co/datasets/ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
All credit to anon8231489123 for the cleanup script that I adapted to wizardlm_clean.py, I then took this script and adapted it to sharegpt_clean.py
|
ewof/sharegpt-instruct-unfiltered-deduped
|
[
"region:us"
] |
2023-05-07T23:33:55+00:00
|
{}
|
2023-05-13T02:55:19+00:00
|
72f9409ae5675bb97efa3a8ecdcbc9b7926ff67e
|
sngsng/English_Taigi_Dict
|
[
"license:other",
"region:us"
] |
2023-05-07T23:45:48+00:00
|
{"license": "other"}
|
2023-05-07T23:51:33+00:00
|
|
8570522991d8020bb48ef321d61f5302b07c5d5b
|
Jiefuo/hierarchical-event-grounding
|
[
"license:cc-by-4.0",
"region:us"
] |
2023-05-07T23:57:44+00:00
|
{"license": "cc-by-4.0"}
|
2023-08-23T04:18:48+00:00
|
|
cd223913359f79a4df8fc72eac193bd34febac60
|
cqlizhijun/ks
|
[
"license:mit",
"region:us"
] |
2023-05-08T00:57:19+00:00
|
{"license": "mit"}
|
2023-05-08T01:34:15+00:00
|
|
26d150efc9facce318f58048035feb312f088ec9
|
# Dataset Card for "VQAv2_test_0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Multimodal-Fatima/VQAv2_test_0
|
[
"region:us"
] |
2023-05-08T01:32:20+00:00
|
{"dataset_info": {"features": [{"name": "question_type", "dtype": "string"}, {"name": "multiple_choice_answer", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "answers_original", "list": [{"name": "answer", "dtype": "string"}, {"name": "answer_confidence", "dtype": "string"}, {"name": "answer_id", "dtype": "int64"}]}, {"name": "id_image", "dtype": "int64"}, {"name": "answer_type", "dtype": "string"}, {"name": "question_id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "id", "dtype": "int64"}, {"name": "clip_tags_ViT_L_14", "sequence": "string"}, {"name": "blip_caption", "dtype": "string"}, {"name": "LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14", "sequence": "string"}, {"name": "DETA_detections_deta_swin_large_o365_coco_classes", "list": [{"name": "attribute", "dtype": "string"}, {"name": "box", "sequence": "float32"}, {"name": "label", "dtype": "string"}, {"name": "location", "dtype": "string"}, {"name": "ratio", "dtype": "float32"}, {"name": "size", "dtype": "string"}, {"name": "tag", "dtype": "string"}]}, {"name": "Attributes_ViT_L_14_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_wo_openai", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_with_openai", "sequence": "string"}, {"name": "Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "Attributes_LAION_ViT_bigG_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "DETA_detections_deta_swin_large_o365_coco_classes_caption_module_random", "list": [{"name": "attribute", "dtype": "string"}, {"name": "box", "sequence": "float64"}, {"name": "captions_module", "sequence": "string"}, {"name": "captions_module_filter", "sequence": "string"}, {"name": "label", "dtype": "string"}, {"name": "location", "dtype": "string"}, {"name": "ratio", "dtype": "float64"}, {"name": "size", "dtype": "string"}, {"name": "tag", "dtype": "string"}]}], "splits": [{"name": "test", "num_bytes": 18342188870.0, "num_examples": 89559}], "download_size": 3712845177, "dataset_size": 18342188870.0}}
|
2023-05-08T15:40:18+00:00
|
dff8953491aba52965a6c77f9eed2d38e860a2dc
|
cezar-dan-licenta-2023/RoCoLe-Variants
|
[
"region:us"
] |
2023-05-08T01:34:55+00:00
|
{"dataset_info": [{"config_name": "original", "features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "healthy", "1": "red_spider_mite", "2": "rust_mild", "3": "rust_medium", "4": "rust_severe"}}}}], "splits": [{"name": "train", "num_bytes": 12381788, "num_examples": 936}, {"name": "validation", "num_bytes": 4157145, "num_examples": 312}, {"name": "test", "num_bytes": 4136740, "num_examples": 312}], "download_size": 21824000, "dataset_size": 20675673}, {"config_name": "no-background", "features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "healthy", "1": "red_spider_mite", "2": "rust_mild", "3": "rust_medium", "4": "rust_severe"}}}}], "splits": [{"name": "train", "num_bytes": 12381788, "num_examples": 936}, {"name": "validation", "num_bytes": 4157145, "num_examples": 312}, {"name": "test", "num_bytes": 4136740, "num_examples": 312}], "download_size": 21824000, "dataset_size": 20675673}]}
|
2023-06-11T22:05:51+00:00
|
|
52519e000148e9dafda116adaa780f748c06ebb6
|
# Dataset Card for "VQAv2_test_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Multimodal-Fatima/VQAv2_test_1
|
[
"region:us"
] |
2023-05-08T01:36:08+00:00
|
{"dataset_info": {"features": [{"name": "question_type", "dtype": "string"}, {"name": "multiple_choice_answer", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "answers_original", "list": [{"name": "answer", "dtype": "string"}, {"name": "answer_confidence", "dtype": "string"}, {"name": "answer_id", "dtype": "int64"}]}, {"name": "id_image", "dtype": "int64"}, {"name": "answer_type", "dtype": "string"}, {"name": "question_id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "id", "dtype": "int64"}, {"name": "clip_tags_ViT_L_14", "sequence": "string"}, {"name": "blip_caption", "dtype": "string"}, {"name": "LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14", "sequence": "string"}, {"name": "DETA_detections_deta_swin_large_o365_coco_classes", "list": [{"name": "attribute", "dtype": "string"}, {"name": "box", "sequence": "float32"}, {"name": "label", "dtype": "string"}, {"name": "location", "dtype": "string"}, {"name": "ratio", "dtype": "float32"}, {"name": "size", "dtype": "string"}, {"name": "tag", "dtype": "string"}]}, {"name": "Attributes_ViT_L_14_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_wo_openai", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_with_openai", "sequence": "string"}, {"name": "Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "Attributes_LAION_ViT_bigG_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}], "splits": [{"name": "test", "num_bytes": 14281937464.0, "num_examples": 89559}], "download_size": 2695014507, "dataset_size": 14281937464.0}}
|
2023-05-08T01:39:51+00:00
|
2cb81b5d5bbd4201250290d4649b44cc7b86c99f
|
# Dataset Card for "VQAv2_test_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Multimodal-Fatima/VQAv2_test_2
|
[
"region:us"
] |
2023-05-08T01:39:52+00:00
|
{"dataset_info": {"features": [{"name": "question_type", "dtype": "string"}, {"name": "multiple_choice_answer", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "answers_original", "list": [{"name": "answer", "dtype": "string"}, {"name": "answer_confidence", "dtype": "string"}, {"name": "answer_id", "dtype": "int64"}]}, {"name": "id_image", "dtype": "int64"}, {"name": "answer_type", "dtype": "string"}, {"name": "question_id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "id", "dtype": "int64"}, {"name": "clip_tags_ViT_L_14", "sequence": "string"}, {"name": "blip_caption", "dtype": "string"}, {"name": "LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14", "sequence": "string"}, {"name": "DETA_detections_deta_swin_large_o365_coco_classes", "list": [{"name": "attribute", "dtype": "string"}, {"name": "box", "sequence": "float32"}, {"name": "label", "dtype": "string"}, {"name": "location", "dtype": "string"}, {"name": "ratio", "dtype": "float32"}, {"name": "size", "dtype": "string"}, {"name": "tag", "dtype": "string"}]}, {"name": "Attributes_ViT_L_14_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_wo_openai", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_with_openai", "sequence": "string"}, {"name": "Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "Attributes_LAION_ViT_bigG_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}], "splits": [{"name": "test", "num_bytes": 14214582779.0, "num_examples": 89559}], "download_size": 2707843217, "dataset_size": 14214582779.0}}
|
2023-05-08T01:43:22+00:00
|
f91e6ccc6b389f348d1a46f741ddd11222beaebc
|
# Dataset Card for "VQAv2_test_3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Multimodal-Fatima/VQAv2_test_3
|
[
"region:us"
] |
2023-05-08T01:43:22+00:00
|
{"dataset_info": {"features": [{"name": "question_type", "dtype": "string"}, {"name": "multiple_choice_answer", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "answers_original", "list": [{"name": "answer", "dtype": "string"}, {"name": "answer_confidence", "dtype": "string"}, {"name": "answer_id", "dtype": "int64"}]}, {"name": "id_image", "dtype": "int64"}, {"name": "answer_type", "dtype": "string"}, {"name": "question_id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "id", "dtype": "int64"}, {"name": "clip_tags_ViT_L_14", "sequence": "string"}, {"name": "blip_caption", "dtype": "string"}, {"name": "LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14", "sequence": "string"}, {"name": "DETA_detections_deta_swin_large_o365_coco_classes", "list": [{"name": "attribute", "dtype": "string"}, {"name": "box", "sequence": "float32"}, {"name": "label", "dtype": "string"}, {"name": "location", "dtype": "string"}, {"name": "ratio", "dtype": "float32"}, {"name": "size", "dtype": "string"}, {"name": "tag", "dtype": "string"}]}, {"name": "Attributes_ViT_L_14_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_wo_openai", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_with_openai", "sequence": "string"}, {"name": "Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "Attributes_LAION_ViT_bigG_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}], "splits": [{"name": "test", "num_bytes": 14231060869.0, "num_examples": 89558}], "download_size": 2658978296, "dataset_size": 14231060869.0}}
|
2023-05-08T01:46:55+00:00
|
02a174049f14ad8630c2180a0c5606af98c6df17
|
# Dataset Card for "VQAv2_test_4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Multimodal-Fatima/VQAv2_test_4
|
[
"region:us"
] |
2023-05-08T01:46:55+00:00
|
{"dataset_info": {"features": [{"name": "question_type", "dtype": "string"}, {"name": "multiple_choice_answer", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "answers_original", "list": [{"name": "answer", "dtype": "string"}, {"name": "answer_confidence", "dtype": "string"}, {"name": "answer_id", "dtype": "int64"}]}, {"name": "id_image", "dtype": "int64"}, {"name": "answer_type", "dtype": "string"}, {"name": "question_id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "id", "dtype": "int64"}, {"name": "clip_tags_ViT_L_14", "sequence": "string"}, {"name": "blip_caption", "dtype": "string"}, {"name": "LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14", "sequence": "string"}, {"name": "DETA_detections_deta_swin_large_o365_coco_classes", "list": [{"name": "attribute", "dtype": "string"}, {"name": "box", "sequence": "float32"}, {"name": "label", "dtype": "string"}, {"name": "location", "dtype": "string"}, {"name": "ratio", "dtype": "float32"}, {"name": "size", "dtype": "string"}, {"name": "tag", "dtype": "string"}]}, {"name": "Attributes_ViT_L_14_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_wo_openai", "sequence": "string"}, {"name": "clip_tags_ViT_L_14_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_H_14_2B_with_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_wo_openai", "sequence": "string"}, {"name": "clip_tags_LAION_ViT_bigG_14_2B_with_openai", "sequence": "string"}, {"name": "Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}, {"name": "Attributes_LAION_ViT_bigG_14_2B_descriptors_text_davinci_003_full", "sequence": "string"}], "splits": [{"name": "test", "num_bytes": 14238048457.0, "num_examples": 89558}], "download_size": 2688195544, "dataset_size": 14238048457.0}}
|
2023-05-08T01:50:26+00:00
|
aff1fb242de94e65deacc30693679f532be284df
|
# Dataset Card for "ag_news"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
|
gimmaru/ag_news
|
[
"arxiv:2305.14877",
"region:us"
] |
2023-05-08T01:57:48+00:00
|
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "World", "1": "Sports", "2": "Business", "3": "Sci/Tech"}}}}], "splits": [{"name": "test", "num_bytes": 250023, "num_examples": 1000}], "download_size": 0, "dataset_size": 250023}}
|
2023-12-24T03:34:03+00:00
|
4d3c6bff13fd8bd310d0bd1c3f96f30dac7176f4
|
# Dataset Card for "glue-sst2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
|
gimmaru/glue-sst2
|
[
"arxiv:2305.14877",
"region:us"
] |
2023-05-08T02:00:07+00:00
|
{"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "negative", "1": "positive"}}}}, {"name": "idx", "dtype": "int32"}], "splits": [{"name": "validation", "num_bytes": 106252, "num_examples": 872}], "download_size": 0, "dataset_size": 106252}}
|
2023-12-24T03:33:32+00:00
|
9d62f8d9b35b18ef66186b75b258b290af154acb
|
# Dataset Card for "imdb"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
|
gimmaru/imdb
|
[
"arxiv:2305.14877",
"region:us"
] |
2023-05-08T02:00:09+00:00
|
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "neg", "1": "pos"}}}}], "splits": [{"name": "test", "num_bytes": 1227704, "num_examples": 1000}], "download_size": 0, "dataset_size": 1227704}}
|
2023-12-24T03:33:47+00:00
|
60c6189fd2a1628943f5c005e4259065a3ba01fb
|
# Dataset Card for "newspop"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
|
gimmaru/newspop
|
[
"arxiv:2305.14877",
"region:us"
] |
2023-05-08T02:00:10+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "headline", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "topic", "dtype": "string"}, {"name": "publish_date", "dtype": "string"}, {"name": "facebook", "dtype": "int32"}, {"name": "google_plus", "dtype": "int32"}, {"name": "linked_in", "dtype": "int32"}], "splits": [{"name": "train", "num_bytes": 295250, "num_examples": 1000}], "download_size": 0, "dataset_size": 295250}}
|
2023-12-24T03:33:03+00:00
|
83bd39c17178fc67cd30631e2d0657fa371562a0
|
# Dataset Card for "glue-rte"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
|
gimmaru/glue-rte
|
[
"arxiv:2305.14877",
"region:us"
] |
2023-05-08T02:00:11+00:00
|
{"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "not_entailment"}}}}, {"name": "idx", "dtype": "int32"}], "splits": [{"name": "validation", "num_bytes": 90728, "num_examples": 277}], "download_size": 0, "dataset_size": 90728}}
|
2023-12-24T03:33:17+00:00
|
27ac96f7f337779f155d81994312ee46e90de8ca
|
# Dataset Card for "super_glue-cb"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
|
gimmaru/super_glue-cb
|
[
"arxiv:2305.14877",
"region:us"
] |
2023-05-08T02:00:12+00:00
|
{"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "idx", "dtype": "int32"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "contradiction", "2": "neutral"}}}}], "splits": [{"name": "validation", "num_bytes": 21851, "num_examples": 56}], "download_size": 0, "dataset_size": 21851}}
|
2023-12-24T03:32:51+00:00
|
fc80e5f85f2b6f6ab13e9a50d7e0b8c9b7ce09c8
|
# Dataset Card for "super_glue-copa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
|
gimmaru/super_glue-copa
|
[
"arxiv:2305.14877",
"region:us"
] |
2023-05-08T02:00:14+00:00
|
{"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "choice1", "dtype": "string"}, {"name": "choice2", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "idx", "dtype": "int32"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "choice1", "1": "choice2"}}}}], "splits": [{"name": "validation", "num_bytes": 12479, "num_examples": 100}], "download_size": 0, "dataset_size": 12479}}
|
2023-12-24T03:31:28+00:00
|
11b64d908195546617549f04dc304c6a354271dd
|
# Dataset Card for "hellaswag"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
|
gimmaru/hellaswag
|
[
"arxiv:2305.14877",
"region:us"
] |
2023-05-08T02:00:15+00:00
|
{"dataset_info": {"features": [{"name": "ind", "dtype": "int32"}, {"name": "activity_label", "dtype": "string"}, {"name": "ctx_a", "dtype": "string"}, {"name": "ctx_b", "dtype": "string"}, {"name": "ctx", "dtype": "string"}, {"name": "endings", "sequence": "string"}, {"name": "source_id", "dtype": "string"}, {"name": "split", "dtype": "string"}, {"name": "split_type", "dtype": "string"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 1119578, "num_examples": 1000}], "download_size": 0, "dataset_size": 1119578}}
|
2023-12-24T03:32:37+00:00
|
cc1851138bf8b5b4a0c7003033652fe57dbe62a9
|
# Dataset Card for "tweet_eval-emotion"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
|
gimmaru/tweet_eval-emotion
|
[
"arxiv:2305.14877",
"region:us"
] |
2023-05-08T02:00:17+00:00
|
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "anger", "1": "joy", "2": "optimism", "3": "sadness"}}}}], "splits": [{"name": "test", "num_bytes": 103375, "num_examples": 1000}], "download_size": 0, "dataset_size": 103375}}
|
2023-12-24T03:30:41+00:00
|
96b86cfdbefab0c0b1949708ca09e3a93191a173
|
# Dataset Card for "tweet_eval-irony"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
|
gimmaru/tweet_eval-irony
|
[
"arxiv:2305.14877",
"region:us"
] |
2023-05-08T02:00:18+00:00
|
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "non_irony", "1": "irony"}}}}], "splits": [{"name": "test", "num_bytes": 75897, "num_examples": 784}], "download_size": 0, "dataset_size": 75897}}
|
2023-12-24T03:30:59+00:00
|
f4aba4986b885626810093ce71b305dabf9419dc
|
# Dataset Card for "SetFit-sst5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
|
gimmaru/SetFit-sst5
|
[
"arxiv:2305.14877",
"region:us"
] |
2023-05-08T02:00:19+00:00
|
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "label_text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 128571, "num_examples": 1000}], "download_size": 0, "dataset_size": 128571}}
|
2023-12-24T03:31:11+00:00
|
fc620656032af01b5b2c749914de08aadc18c685
|
# Dataset Card for "piqa"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
|
gimmaru/piqa
|
[
"arxiv:2305.14877",
"region:us"
] |
2023-05-08T02:00:20+00:00
|
{"dataset_info": {"features": [{"name": "goal", "dtype": "string"}, {"name": "sol1", "dtype": "string"}, {"name": "sol2", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "0", "1": "1"}}}}], "splits": [{"name": "validation", "num_bytes": 262619, "num_examples": 1000}], "download_size": 0, "dataset_size": 262619}}
|
2023-12-24T03:30:20+00:00
|
9be4ae8e83974714f9ad36fe5d7fe18d8b6f1099
|
# Dataset Card for "story_cloze-2016"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
|
gimmaru/story_cloze-2016
|
[
"arxiv:2305.14877",
"region:us"
] |
2023-05-08T02:00:22+00:00
|
{"dataset_info": {"features": [{"name": "story_id", "dtype": "string"}, {"name": "input_sentence_1", "dtype": "string"}, {"name": "input_sentence_2", "dtype": "string"}, {"name": "input_sentence_3", "dtype": "string"}, {"name": "input_sentence_4", "dtype": "string"}, {"name": "sentence_quiz1", "dtype": "string"}, {"name": "sentence_quiz2", "dtype": "string"}, {"name": "answer_right_ending", "dtype": "int32"}], "splits": [{"name": "test", "num_bytes": 326264, "num_examples": 1000}], "download_size": 0, "dataset_size": 326264}}
|
2023-12-24T03:29:54+00:00
|
963dcc148f66b88ce352e735e64592e7842a9e61
|
# Dataset Card for "covid-qa-squad"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
parsa-mz/covid-qa-squad
|
[
"region:us"
] |
2023-05-08T02:06:49+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 48698233, "num_examples": 1417}, {"name": "validation", "num_bytes": 4320948, "num_examples": 203}, {"name": "test", "num_bytes": 11620291, "num_examples": 375}], "download_size": 2248635, "dataset_size": 64639472}}
|
2023-05-08T02:06:55+00:00
|
825370bbb85f1d83caebeb74774ce155f8c75ddc
|
# Dataset Card for "baroque_0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
jlbaker361/baroque_0
|
[
"region:us"
] |
2023-05-08T02:59:03+00:00
|
{"dataset_info": {"features": [{"name": "img", "dtype": "image"}, {"name": "name", "dtype": "string"}, {"name": "split", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6514415.303, "num_examples": 4143}], "download_size": 4150451, "dataset_size": 6514415.303}}
|
2023-05-08T02:59:07+00:00
|
8b35814be910dedc765cb6a4e13af9433c8cd35a
|
mio/steinsgate0
|
[
"license:cc",
"region:us"
] |
2023-05-08T03:02:06+00:00
|
{"license": "cc"}
|
2023-06-05T15:23:28+00:00
|
|
41a0aac64e44fe918ed53bb4985185dd7467cbfd
|
# Dataset Card for "spanish_sentences"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
ittailup/spanish_sentences
|
[
"region:us"
] |
2023-05-08T03:02:40+00:00
|
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 363525, "num_examples": 5821}, {"name": "validation", "num_bytes": 42626, "num_examples": 647}], "download_size": 0, "dataset_size": 406151}}
|
2023-05-08T22:22:17+00:00
|
d5a9c80af4eed29005524746e3f5b47830ee6fb9
|
# Dataset Card for "baroque_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
jlbaker361/baroque_1
|
[
"region:us"
] |
2023-05-08T03:02:45+00:00
|
{"dataset_info": {"features": [{"name": "img", "dtype": "image"}, {"name": "name", "dtype": "string"}, {"name": "split", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6195104.303, "num_examples": 4143}], "download_size": 4024679, "dataset_size": 6195104.303}}
|
2023-05-08T03:02:49+00:00
|
f51207d6598d535973f4688cba5baf5256379361
|
# Dataset Card for "medmcqa-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/medmcqa-original-neg
|
[
"region:us"
] |
2023-05-08T03:19:36+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "opa", "dtype": "string"}, {"name": "opb", "dtype": "string"}, {"name": "opc", "dtype": "string"}, {"name": "opd", "dtype": "string"}, {"name": "cop", "dtype": {"class_label": {"names": {"0": "a", "1": "b", "2": "c", "3": "d"}}}}, {"name": "choice_type", "dtype": "string"}, {"name": "exp", "dtype": "string"}, {"name": "subject_name", "dtype": "string"}, {"name": "topic_name", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 366432.0631125986, "num_examples": 690}], "download_size": 292370, "dataset_size": 366432.0631125986}}
|
2023-05-08T03:19:42+00:00
|
6f4ca7b2b0f31c922b037862d24f3b93d9d7e06f
|
# Dataset Card for "art_sr_vc1_mini2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Nyaa97/art_sr_vc1_mini2
|
[
"region:us"
] |
2023-05-08T03:28:16+00:00
|
{"dataset_info": {"features": [{"name": "id1", "dtype": "string"}, {"name": "path1", "dtype": "string"}, {"name": "audio1", "dtype": "audio"}, {"name": "id2", "dtype": "string"}, {"name": "path2", "dtype": "string"}, {"name": "audio2", "dtype": "audio"}, {"name": "same_speaker", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 32511478695.84, "num_examples": 62587}], "download_size": 5172818625, "dataset_size": 32511478695.84}}
|
2023-05-08T14:00:29+00:00
|
d3c09b05e2abccbf93c03767ded134e077109a9b
|
# Dataset Card for "na-ve-art-primitivism"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
jlbaker361/na-ve-art-primitivism
|
[
"region:us"
] |
2023-05-08T03:39:14+00:00
|
{"dataset_info": {"features": [{"name": "img", "dtype": "image"}, {"name": "style", "dtype": "string"}, {"name": "split", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 65503646.137, "num_examples": 32097}], "download_size": 49391264, "dataset_size": 65503646.137}}
|
2023-05-08T04:00:40+00:00
|
b9c84969cd8aed8476ea5b8f40c1e738eba6d2fc
|
# Dataset Card for "medmcqa-original-neg-rule-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/medmcqa-original-neg-rule-neg-prepend
|
[
"region:us"
] |
2023-05-08T03:46:04+00:00
|
{"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "opa", "dtype": "string"}, {"name": "opb", "dtype": "string"}, {"name": "opc", "dtype": "string"}, {"name": "opd", "dtype": "string"}, {"name": "cop", "dtype": {"class_label": {"names": {"0": "a", "1": "b", "2": "c", "3": "d"}}}}, {"name": "choice_type", "dtype": "string"}, {"name": "exp", "dtype": "string"}, {"name": "subject_name", "dtype": "string"}, {"name": "topic_name", "dtype": "string"}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 544885, "num_examples": 690}], "download_size": 354406, "dataset_size": 544885}}
|
2023-05-16T03:32:38+00:00
|
b8fa73496e1c9773b281c487c47bda2c30a114e6
|
# Dataset Card for "mmlu-abstract_algebra-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-abstract_algebra-original-neg
|
[
"region:us"
] |
2023-05-08T04:19:46+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 1352.12, "num_examples": 7}], "download_size": 3607, "dataset_size": 1352.12}}
|
2023-05-08T04:19:50+00:00
|
ec508e734d33c5e0fb21c5beeb461d2ac8429ae9
|
# Dataset Card for "mmlu-anatomy-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-anatomy-original-neg
|
[
"region:us"
] |
2023-05-08T04:19:52+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 1471.5111111111112, "num_examples": 6}], "download_size": 3885, "dataset_size": 1471.5111111111112}}
|
2023-05-08T04:19:56+00:00
|
4b538175a153b0455061126e8d342fd219ccd2e7
|
# Dataset Card for "mmlu-astronomy-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-astronomy-original-neg
|
[
"region:us"
] |
2023-05-08T04:19:59+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 7690.625, "num_examples": 25}], "download_size": 7773, "dataset_size": 7690.625}}
|
2023-05-08T04:20:02+00:00
|
57edc7fc3b3c7ed189f788fa07e35561b527fdd5
|
# Dataset Card for "mmlu-business_ethics-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-business_ethics-original-neg
|
[
"region:us"
] |
2023-05-08T04:20:05+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 3988.8, "num_examples": 12}], "download_size": 6402, "dataset_size": 3988.8}}
|
2023-05-08T04:20:09+00:00
|
2d84471ad3931f628b9f602e521f450bb22a5956
|
# Dataset Card for "mmlu-clinical_knowledge-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-clinical_knowledge-original-neg
|
[
"region:us"
] |
2023-05-08T04:20:12+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 5682.294339622642, "num_examples": 24}], "download_size": 6172, "dataset_size": 5682.294339622642}}
|
2023-05-08T04:20:15+00:00
|
285d006e87be4d70e36cabb09ec8c82c1957f48d
|
# Dataset Card for "mmlu-college_biology-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_biology-original-neg
|
[
"region:us"
] |
2023-05-08T04:20:18+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 9147.1875, "num_examples": 27}], "download_size": 7857, "dataset_size": 9147.1875}}
|
2023-05-08T04:20:22+00:00
|
862dec3f38e11d77a737efb00b16b98c0c57b285
|
# Dataset Card for "mmlu-college_chemistry-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_chemistry-original-neg
|
[
"region:us"
] |
2023-05-08T04:20:25+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 2222.64, "num_examples": 9}], "download_size": 4565, "dataset_size": 2222.64}}
|
2023-05-08T04:20:28+00:00
|
88989dedc57341b3307c4eced74164e58d2a73ba
|
# Dataset Card for "mmlu-college_computer_science-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_computer_science-original-neg
|
[
"region:us"
] |
2023-05-08T04:20:31+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 12788.7, "num_examples": 30}], "download_size": 12204, "dataset_size": 12788.7}}
|
2023-05-08T04:20:35+00:00
|
98c5211e36d32925e08f050640a042710f3aa717
|
# Dataset Card for "mmlu-college_mathematics-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_mathematics-original-neg
|
[
"region:us"
] |
2023-05-08T04:20:38+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 3704.85, "num_examples": 15}], "download_size": 5846, "dataset_size": 3704.85}}
|
2023-05-08T04:20:41+00:00
|
acabff703a52b1feefc59c5a65591566f99c9bd8
|
# Dataset Card for "mmlu-college_medicine-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_medicine-original-neg
|
[
"region:us"
] |
2023-05-08T04:20:45+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 15715.057803468208, "num_examples": 33}], "download_size": 17424, "dataset_size": 15715.057803468208}}
|
2023-05-08T04:20:49+00:00
|
cd06a3b4bba9c8dbe740ac035b53a895ed3b2c2d
|
# Dataset Card for "mmlu-college_physics-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_physics-original-neg
|
[
"region:us"
] |
2023-05-08T04:20:52+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 4436.617647058823, "num_examples": 15}], "download_size": 5989, "dataset_size": 4436.617647058823}}
|
2023-05-08T04:20:56+00:00
|
fae3e38e50e79478ca8d7f507be8ff1ab0ca7a5a
|
# Dataset Card for "mmlu-computer_security-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-computer_security-original-neg
|
[
"region:us"
] |
2023-05-08T04:20:59+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 4609.04, "num_examples": 17}], "download_size": 6084, "dataset_size": 4609.04}}
|
2023-05-08T04:21:02+00:00
|
d1e1be81a31f79d2d5e6bf070575aaa35ebae5bd
|
# Dataset Card for "mmlu-conceptual_physics-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-conceptual_physics-original-neg
|
[
"region:us"
] |
2023-05-08T04:21:06+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 2597.68085106383, "num_examples": 15}], "download_size": 4937, "dataset_size": 2597.68085106383}}
|
2023-05-08T04:21:09+00:00
|
78ba14dbdf5ba50fe1fce1f2b61e21580d9ae581
|
# Dataset Card for "mmlu-econometrics-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-econometrics-original-neg
|
[
"region:us"
] |
2023-05-08T04:21:12+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 9796.842105263158, "num_examples": 24}], "download_size": 9068, "dataset_size": 9796.842105263158}}
|
2023-05-08T04:21:17+00:00
|
917428c83bbf09e72db9816570910922550cf14b
|
# Dataset Card for "mmlu-electrical_engineering-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-electrical_engineering-original-neg
|
[
"region:us"
] |
2023-05-08T04:21:20+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 866.551724137931, "num_examples": 5}], "download_size": 3129, "dataset_size": 866.551724137931}}
|
2023-05-08T04:21:24+00:00
|
c7eee1f7c51ec52ec0680da42b4e598ae4c73bc0
|
# Dataset Card for "mmlu-elementary_mathematics-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-elementary_mathematics-original-neg
|
[
"region:us"
] |
2023-05-08T04:21:28+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 2596.1481481481483, "num_examples": 14}], "download_size": 4594, "dataset_size": 2596.1481481481483}}
|
2023-05-08T04:21:32+00:00
|
310cb2f9da465491578a3a001532336ff42095a0
|
# Dataset Card for "mmlu-formal_logic-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-formal_logic-original-neg
|
[
"region:us"
] |
2023-05-08T04:21:35+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 12245.738095238095, "num_examples": 31}], "download_size": 9150, "dataset_size": 12245.738095238095}}
|
2023-05-08T04:21:38+00:00
|
66f15c0062804e6e318ca6a77cbc2f323cc3bdc7
|
# Dataset Card for "mmlu-global_facts-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-global_facts-original-neg
|
[
"region:us"
] |
2023-05-08T04:21:41+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 1655.19, "num_examples": 9}], "download_size": 4209, "dataset_size": 1655.19}}
|
2023-05-08T04:21:44+00:00
|
91ff4b8a0b385dc01d775ab4f93bad7974e7b81e
|
# Dataset Card for "mmlu-high_school_biology-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_biology-original-neg
|
[
"region:us"
] |
2023-05-08T04:21:49+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 24421.548387096773, "num_examples": 69}], "download_size": 18136, "dataset_size": 24421.548387096773}}
|
2023-05-08T04:21:53+00:00
|
b5b86f7e32b5289d7394c4dfff7af391cff52a76
|
# Dataset Card for "mmlu-high_school_chemistry-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_chemistry-original-neg
|
[
"region:us"
] |
2023-05-08T04:21:56+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 5758.817733990148, "num_examples": 20}], "download_size": 6662, "dataset_size": 5758.817733990148}}
|
2023-05-08T04:21:59+00:00
|
1233eb887f82eaf6112bc6500e48b8d84f11ab86
|
# Dataset Card for "mmlu-high_school_computer_science-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_computer_science-original-neg
|
[
"region:us"
] |
2023-05-08T04:22:02+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 6669.6, "num_examples": 15}], "download_size": 12013, "dataset_size": 6669.6}}
|
2023-05-08T04:22:05+00:00
|
9839efef42146271b56e8b0bd0508abcd95482e4
|
# Dataset Card for "mmlu-high_school_european_history-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_european_history-original-neg
|
[
"region:us"
] |
2023-05-08T04:22:12+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 229335.27272727274, "num_examples": 140}], "download_size": 134018, "dataset_size": 229335.27272727274}}
|
2023-05-08T04:22:16+00:00
|
88b26e4710a4696e9540761702462528b88d625e
|
# Dataset Card for "mmlu-high_school_geography-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_geography-original-neg
|
[
"region:us"
] |
2023-05-08T04:22:20+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 9974.919191919193, "num_examples": 47}], "download_size": 9682, "dataset_size": 9974.919191919193}}
|
2023-05-08T04:22:23+00:00
|
b0f9c7c6af0ebdd6dcb81aea02ee507270902dd7
|
# Dataset Card for "mmlu-high_school_government_and_politics-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_government_and_politics-original-neg
|
[
"region:us"
] |
2023-05-08T04:22:26+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 11980.155440414508, "num_examples": 35}], "download_size": 10606, "dataset_size": 11980.155440414508}}
|
2023-05-08T04:22:30+00:00
|
c21acddac360e1edf32fcf13316d87bc6bf0396e
|
# Dataset Card for "mmlu-high_school_macroeconomics-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_macroeconomics-original-neg
|
[
"region:us"
] |
2023-05-08T04:22:34+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 10258.846153846154, "num_examples": 34}], "download_size": 7960, "dataset_size": 10258.846153846154}}
|
2023-05-08T04:22:37+00:00
|
3fd255babb16436417f1045057021bdaf68c706f
|
# Dataset Card for "mmlu-high_school_mathematics-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_mathematics-original-neg
|
[
"region:us"
] |
2023-05-08T04:22:41+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 5890.437037037037, "num_examples": 29}], "download_size": 8892, "dataset_size": 5890.437037037037}}
|
2023-05-08T04:22:45+00:00
|
f95d561aeab73e5c67298f33d1f11f01a9a099b6
|
# Dataset Card for "mmlu-high_school_microeconomics-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_microeconomics-original-neg
|
[
"region:us"
] |
2023-05-08T04:22:49+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 10494.970588235294, "num_examples": 33}], "download_size": 9119, "dataset_size": 10494.970588235294}}
|
2023-05-08T04:22:52+00:00
|
c35ac4398b47c084cad6eb799b8678f70e73ed4a
|
# Dataset Card for "mmlu-high_school_physics-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_physics-original-neg
|
[
"region:us"
] |
2023-05-08T04:22:55+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 11432.14569536424, "num_examples": 29}], "download_size": 10218, "dataset_size": 11432.14569536424}}
|
2023-05-08T04:22:59+00:00
|
00e53bf1f86426d4b2986c60d9baf9e55abe57fb
|
# Dataset Card for "mmlu-high_school_psychology-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_psychology-original-neg
|
[
"region:us"
] |
2023-05-08T04:23:04+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 23104.963302752294, "num_examples": 79}], "download_size": 23403, "dataset_size": 23104.963302752294}}
|
2023-05-08T04:23:07+00:00
|
57be3c104d9ae2ef87090bfcab3065c3959a3a35
|
# Dataset Card for "mmlu-high_school_statistics-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_statistics-original-neg
|
[
"region:us"
] |
2023-05-08T04:23:11+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 25110.23148148148, "num_examples": 49}], "download_size": 19249, "dataset_size": 25110.23148148148}}
|
2023-05-08T04:23:15+00:00
|
9585318d0ff01ab47dc0440b1d724d7905b16522
|
# Dataset Card for "mmlu-high_school_us_history-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_us_history-original-neg
|
[
"region:us"
] |
2023-05-08T04:23:22+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 261813.5294117647, "num_examples": 180}], "download_size": 138640, "dataset_size": 261813.5294117647}}
|
2023-05-08T04:23:26+00:00
|
878217829398c018ad24f383d4e2b2edbeefcd47
|
# Dataset Card for "mmlu-high_school_world_history-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_world_history-original-neg
|
[
"region:us"
] |
2023-05-08T04:23:50+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 327485.3375527426, "num_examples": 205}], "download_size": 179172, "dataset_size": 327485.3375527426}}
|
2023-05-08T04:23:54+00:00
|
ed3987151989cf858378a84362ab25eda3f0e111
|
# Dataset Card for "mmlu-human_aging-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-human_aging-original-neg
|
[
"region:us"
] |
2023-05-08T04:23:57+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 6406.5739910313905, "num_examples": 31}], "download_size": 6828, "dataset_size": 6406.5739910313905}}
|
2023-05-08T04:24:00+00:00
|
61e8845dc3335b28fa8f556834e03f111ed86e45
|
# Dataset Card for "mmlu-human_sexuality-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-human_sexuality-original-neg
|
[
"region:us"
] |
2023-05-08T04:24:03+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 3185.297709923664, "num_examples": 13}], "download_size": 6364, "dataset_size": 3185.297709923664}}
|
2023-05-08T04:24:07+00:00
|
e71ea53d231e52052c7c18543e0e5cf6c2404d37
|
# Dataset Card for "mmlu-international_law-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-international_law-original-neg
|
[
"region:us"
] |
2023-05-08T04:24:09+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 2211.528925619835, "num_examples": 5}], "download_size": 4403, "dataset_size": 2211.528925619835}}
|
2023-05-08T04:24:13+00:00
|
05f1cbed2b067afc18513c24e0164125e3efbe96
|
# Dataset Card for "mmlu-jurisprudence-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-jurisprudence-original-neg
|
[
"region:us"
] |
2023-05-08T04:24:16+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 2202.0185185185187, "num_examples": 7}], "download_size": 5697, "dataset_size": 2202.0185185185187}}
|
2023-05-08T04:24:19+00:00
|
74903d6850dec1ca20dfca8845a11b02022454aa
|
# Dataset Card for "mmlu-logical_fallacies-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-logical_fallacies-original-neg
|
[
"region:us"
] |
2023-05-08T04:24:22+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 10758.742331288344, "num_examples": 35}], "download_size": 8694, "dataset_size": 10758.742331288344}}
|
2023-05-08T04:24:25+00:00
|
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