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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f95accfb6610324313b1700cfb8682a851bd32a6 | # Dataset Card for "UA_speech_multiclass"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AravindVadlapudi02/UA_speech_multiclass | [
"region:us"
] | 2023-05-11T18:31:07+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "0_control", "1": "1_very_low", "2": "2_low", "3": "3_mid", "4": "4_high"}}}}, {"name": "input_features", "sequence": {"sequence": "float32"}}], "splits": [{"name": "train", "num_bytes": 1910100348, "num_examples": 1989}, {"name":... | 2023-05-11T18:32:23+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "UA_speech_multiclass"
More Information needed | [
"# Dataset Card for \"UA_speech_multiclass\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"UA_speech_multiclass\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"UA_speech_multiclass\"\n\nMore Information needed"
] |
f262dbc3a1d234f500d9173f9ebf8d19996b03ba |
# FindZebra case reports
A collection of 3344 case reports fetched from the PubMed API for the Fabry, Gaucher and Familial amyloid cardiomyopathy (FAC) diseases.
Articles are labelled using a text segmentation model described in "FindZebra online search delving into rare disease case reports using natural language p... | findzebra/case-reports | [
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-4.0",
"medical",
"region:us"
] | 2023-05-11T18:36:24+00:00 | {"language": ["en"], "license": "cc-by-4.0", "size_categories": ["1K<n<10K"], "pretty_name": "FindZebra case reports", "tags": ["medical"]} | 2023-05-11T18:44:22+00:00 | [] | [
"en"
] | TAGS
#size_categories-1K<n<10K #language-English #license-cc-by-4.0 #medical #region-us
|
# FindZebra case reports
A collection of 3344 case reports fetched from the PubMed API for the Fabry, Gaucher and Familial amyloid cardiomyopathy (FAC) diseases.
Articles are labelled using a text segmentation model described in "FindZebra online search delving into rare disease case reports using natural language p... | [
"# FindZebra case reports\n\nA collection of 3344 case reports fetched from the PubMed API for the Fabry, Gaucher and Familial amyloid cardiomyopathy (FAC) diseases.\n\nArticles are labelled using a text segmentation model described in \"FindZebra online search delving into rare disease case reports using natural l... | [
"TAGS\n#size_categories-1K<n<10K #language-English #license-cc-by-4.0 #medical #region-us \n",
"# FindZebra case reports\n\nA collection of 3344 case reports fetched from the PubMed API for the Fabry, Gaucher and Familial amyloid cardiomyopathy (FAC) diseases.\n\nArticles are labelled using a text segmentation mo... | [
34,
77
] | [
"passage: TAGS\n#size_categories-1K<n<10K #language-English #license-cc-by-4.0 #medical #region-us \n# FindZebra case reports\n\nA collection of 3344 case reports fetched from the PubMed API for the Fabry, Gaucher and Familial amyloid cardiomyopathy (FAC) diseases.\n\nArticles are labelled using a text segmentation... |
bab9860e369a2740585ff4678818e1b42660ebf5 | # Dataset Card for "UA_speech_multiclass_digits_letters"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AravindVadlapudi02/UA_speech_multiclass_digits_letters | [
"region:us"
] | 2023-05-11T19:00:00+00:00 | {"dataset_info": {"features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "0_control", "1": "1_very_low", "2": "2_low", "3": "3_mid", "4": "4_high"}}}}, {"name": "input_features", "sequence": {"sequence": "float32"}}], "splits": [{"name": "train", "num_bytes": 351481512, "num_examples": 366}, {"name": "... | 2023-05-11T19:00:17+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "UA_speech_multiclass_digits_letters"
More Information needed | [
"# Dataset Card for \"UA_speech_multiclass_digits_letters\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"UA_speech_multiclass_digits_letters\"\n\nMore Information needed"
] | [
6,
23
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"UA_speech_multiclass_digits_letters\"\n\nMore Information needed"
] |
76a66b5be588d1ff9704f24790b541a737224b8f | # Dataset Card for "TACO-Reformatted-Full"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | RandyHuynh5815/TACO-Reformatted-Full | [
"region:us"
] | 2023-05-11T19:26:11+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "categories", "sequence": "int8"}, {"name": "segmentation", "sequence": {"sequence": {"sequence": "float32"}}}, {"name": "bbox", "sequence": {"sequence": "float32"}}], "splits": [{"name": "train", "num_bytes": 2721354265.5, "num_examples": 150... | 2023-05-11T19:35:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "TACO-Reformatted-Full"
More Information needed | [
"# Dataset Card for \"TACO-Reformatted-Full\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"TACO-Reformatted-Full\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"TACO-Reformatted-Full\"\n\nMore Information needed"
] |
0da1751bdb702d9b829e1c881495328c5f21ebd5 | # Dataset Card for "TVCG_Paper_NER"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Yamei/TVCG_Paper_NER | [
"region:us"
] | 2023-05-11T19:47:21+00:00 | {"dataset_info": {"features": [{"name": "data", "struct": [{"name": "adjacentArticles", "struct": [{"name": "__typename", "dtype": "string"}, {"name": "next", "struct": [{"name": "__typename", "dtype": "string"}, {"name": "articleId", "dtype": "string"}, {"name": "fno", "dtype": "string"}]}, {"name": "previous", "struc... | 2023-05-11T19:47:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "TVCG_Paper_NER"
More Information needed | [
"# Dataset Card for \"TVCG_Paper_NER\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"TVCG_Paper_NER\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"TVCG_Paper_NER\"\n\nMore Information needed"
] |
31b44504d76c98691ecccc8f0b45bac46c84adfd | # Dataset Card for "trump-tweets-ray"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | plural-user/trump-tweets-ray | [
"region:us"
] | 2023-05-11T20:09:26+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4865384, "num_examples": 1}, {"name": "test", "num_bytes": 272829, "num_examples": 1}, {"name": "validation", "num_bytes": 271308, "num_examples": 1}], "download_size": 3720431, "dataset_size": 5409521}} | 2023-05-11T20:09:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "trump-tweets-ray"
More Information needed | [
"# Dataset Card for \"trump-tweets-ray\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"trump-tweets-ray\"\n\nMore Information needed"
] | [
6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"trump-tweets-ray\"\n\nMore Information needed"
] |
d3b600000def952a3a13f051a70f512e6857f467 | AugQ-CC is an unsupervised augmented dataset for training retrievers used in `AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation`.
It consists of 52.4M pseudo query-document pairs based on [Pile-CommonCrawl](https://pile.eleuther.ai/paper.pdf).
```
@article{meng2022augtriever,
title={AugTriever: ... | memray/AugTriever-AugQ-CC | [
"license:mit",
"region:us"
] | 2023-05-11T20:46:00+00:00 | {"license": "mit"} | 2023-05-24T02:28:38+00:00 | [] | [] | TAGS
#license-mit #region-us
| AugQ-CC is an unsupervised augmented dataset for training retrievers used in 'AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation'.
It consists of 52.4M pseudo query-document pairs based on Pile-CommonCrawl.
| [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
] |
febdbb44a3320e88483f1316d088c7bcdab12d36 | AugQ-Wiki is an unsupervised augmented dataset for training retrievers used in AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation. It consists of 22.6M pseudo query-document pairs based on Wikipedia.
It follows the same license of Wikipedia (Creative Commons Attribution-Share-Alike License 3.0).
```... | memray/AugTriever-AugQ-Wiki | [
"task_categories:text-retrieval",
"size_categories:10M<n<100M",
"license:cc-by-sa-3.0",
"region:us"
] | 2023-05-11T20:47:10+00:00 | {"license": "cc-by-sa-3.0", "size_categories": ["10M<n<100M"], "task_categories": ["text-retrieval"]} | 2023-06-19T21:31:28+00:00 | [] | [] | TAGS
#task_categories-text-retrieval #size_categories-10M<n<100M #license-cc-by-sa-3.0 #region-us
| AugQ-Wiki is an unsupervised augmented dataset for training retrievers used in AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation. It consists of 22.6M pseudo query-document pairs based on Wikipedia.
It follows the same license of Wikipedia (Creative Commons Attribution-Share-Alike License 3.0).
| [] | [
"TAGS\n#task_categories-text-retrieval #size_categories-10M<n<100M #license-cc-by-sa-3.0 #region-us \n"
] | [
41
] | [
"passage: TAGS\n#task_categories-text-retrieval #size_categories-10M<n<100M #license-cc-by-sa-3.0 #region-us \n"
] |
7d8ff0dee7352b63b9d3827d8192c53d26e4efbb | # Dataset Card for "sample-hf-github-issues"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cafbr/sample-hf-github-issues | [
"region:us"
] | 2023-05-11T22:07:46+00:00 | {"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "repository_url", "dtype": "string"}, {"name": "labels_url", "dtype": "string"}, {"name": "comments_url", "dtype": "string"}, {"name": "events_url", "dtype": "string"}, {"name": "html_url", "dtype": "string"}, {"name": "id", "dtype": "int64"}, ... | 2023-05-11T22:07:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sample-hf-github-issues"
More Information needed | [
"# Dataset Card for \"sample-hf-github-issues\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"sample-hf-github-issues\"\n\nMore Information needed"
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6,
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"passage: TAGS\n#region-us \n# Dataset Card for \"sample-hf-github-issues\"\n\nMore Information needed"
] |
3d6bd2e1c44caa7498e396182a01edaf0d68f7db | > 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
#### 以acos数据集中抽取的jsonl文件一条数据举例：
```
{
"task_type": "generation",
"dataset": "acos",
"input": ["the computer has difficulty swi... | NEUDM/absa-quad | [
"task_categories:text-generation",
"size_categories:1K<n<10K",
"language:en",
"arxiv:2305.09193",
"region:us"
] | 2023-05-12T01:01:25+00:00 | {"language": ["en"], "size_categories": ["1K<n<10K"], "task_categories": ["text-generation"]} | 2023-05-23T16:31:07+00:00 | [
"2305.09193"
] | [
"en"
] | TAGS
#task_categories-text-generation #size_categories-1K<n<10K #language-English #arxiv-2305.09193 #region-us
| > 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
#### 以acos数据集中抽取的jsonl文件一条数据举例：
> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,m... | [
"#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。",
"#### 原始数据集\n- 数据链接\n- Paper: Aspect Sentiment Quad ... | [
"TAGS\n#task_categories-text-generation #size_categories-1K<n<10K #language-English #arxiv-2305.09193 #region-us \n",
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"passage: TAGS\n#task_categories-text-generation #size_categories-1K<n<10K #language-English #arxiv-2305.09193 #region-us \n#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每... |
e07d280765f34629c063116b740ccd29268dbba1 | > 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
#### 以acos数据集中抽取的jsonl文件一条数据举例：
```
{
"task_type": "generation",
"dataset": "acos",
"input": ["the computer has difficulty swi... | NEUDM/acos | [
"arxiv:2305.09193",
"region:us"
] | 2023-05-12T01:09:38+00:00 | {} | 2023-05-23T16:32:05+00:00 | [
"2305.09193"
] | [] | TAGS
#arxiv-2305.09193 #region-us
| > 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
#### 以acos数据集中抽取的jsonl文件一条数据举例：
> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,m... | [
"#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。",
"#### 原始数据集\n- 数据链接\n- Paper: Aspect-Category-Opinio... | [
"TAGS\n#arxiv-2305.09193 #region-us \n",
"#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。",
"#### 原始数... | [
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"passage: TAGS\n#arxiv-2305.09193 #region-us \n#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。#### 原始数据集\... |
47ec1a46d9c5a3a6e4867849027b45cd8b66c045 | # Dataset Card for "sql-create-context_alpaca_style"
We provide a minor modification of the [sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context) dataset. In particular, we 1) prepend each instruction with the phrase, "Write a SQL query that answers the following question: " and 2) prepend eac... | lucasmccabe-lmi/sql-create-context_alpaca_style | [
"region:us"
] | 2023-05-12T01:32:40+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 28203562.0, "num_examples": 78577}], "download_size": 9312899, "dataset_size": 28203562.0}} | 2023-05-15T20:16:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "sql-create-context_alpaca_style"
We provide a minor modification of the sql-create-context dataset. In particular, we 1) prepend each instruction with the phrase, "Write a SQL query that answers the following question: " and 2) prepend each context with the phrase, "The relevant table was construct... | [
"# Dataset Card for \"sql-create-context_alpaca_style\"\n\nWe provide a minor modification of the sql-create-context dataset. In particular, we 1) prepend each instruction with the phrase, \"Write a SQL query that answers the following question: \" and 2) prepend each context with the phrase, \"The relevant table w... | [
"TAGS\n#region-us \n",
"# Dataset Card for \"sql-create-context_alpaca_style\"\n\nWe provide a minor modification of the sql-create-context dataset. In particular, we 1) prepend each instruction with the phrase, \"Write a SQL query that answers the following question: \" and 2) prepend each context with the phras... | [
6,
96,
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"passage: TAGS\n#region-us \n# Dataset Card for \"sql-create-context_alpaca_style\"\n\nWe provide a minor modification of the sql-create-context dataset. In particular, we 1) prepend each instruction with the phrase, \"Write a SQL query that answers the following question: \" and 2) prepend each context with the ph... |
f1d8ed63a70832a92a058ed0f71645a65740a209 | > 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
#### 以acos数据集中抽取的jsonl文件一条数据举例：
```
{
"task_type": "generation",
"dataset": "acos",
"input": ["the computer has difficulty swi... | NEUDM/arts | [
"arxiv:2009.07964",
"arxiv:2303.02846",
"region:us"
] | 2023-05-12T01:41:01+00:00 | {} | 2023-05-23T16:30:10+00:00 | [
"2009.07964",
"2303.02846"
] | [] | TAGS
#arxiv-2009.07964 #arxiv-2303.02846 #region-us
| > 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
#### 以acos数据集中抽取的jsonl文件一条数据举例：
> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,m... | [
"#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。",
"#### 原始数据集\n- 数据链接\n- Paper: Tasty Burgers, Soggy F... | [
"TAGS\n#arxiv-2009.07964 #arxiv-2303.02846 #region-us \n",
"#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同... | [
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"passage: TAGS\n#arxiv-2009.07964 #arxiv-2303.02846 #region-us \n#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内... |
33aaa9467a91663aedcc1da50e090d7eabad54ac | > 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
#### 以acos数据集中抽取的jsonl文件一条数据举例：
```
{
"task_type": "generation",
"dataset": "acos",
"input": ["the computer has difficulty swi... | NEUDM/aste-data-v2 | [
"arxiv:2010.02609",
"arxiv:2305.09193",
"region:us"
] | 2023-05-12T01:44:04+00:00 | {} | 2023-05-23T16:29:01+00:00 | [
"2010.02609",
"2305.09193"
] | [] | TAGS
#arxiv-2010.02609 #arxiv-2305.09193 #region-us
| > 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
#### 以acos数据集中抽取的jsonl文件一条数据举例：
> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,m... | [
"#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。",
"#### 原始数据集\n- 数据链接\n- Paper: Position-Aware Tagging... | [
"TAGS\n#arxiv-2010.02609 #arxiv-2305.09193 #region-us \n",
"#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同... | [
23,
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151
] | [
"passage: TAGS\n#arxiv-2010.02609 #arxiv-2305.09193 #region-us \n#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内... |
292cd37d971c53c08ebbefd969aaf33466f31bb3 | > 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
#### 以acos数据集中抽取的jsonl文件一条数据举例：
```
{
"task_type": "generation",
"dataset": "acos",
"input": ["the computer has difficulty swi... | NEUDM/mams | [
"region:us"
] | 2023-05-12T01:46:00+00:00 | {} | 2023-05-23T16:25:04+00:00 | [] | [] | TAGS
#region-us
| > 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
#### 以acos数据集中抽取的jsonl文件一条数据举例：
> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,m... | [
"#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。",
"#### 原始数据集\n- 数据链接\n- Paper：A Challenge Dataset and... | [
"TAGS\n#region-us \n",
"#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。",
"#### 原始数据集\n- 数据链接\n- Pape... | [
6,
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] | [
"passage: TAGS\n#region-us \n#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。#### 原始数据集\n- 数据链接\n- Paper：A... |
5ef163e19093d25c96d90a652b418529c45bd8d4 | > 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
补充：SemEval-2014数据集文件夹中有两个文件夹"laptop"和"restaurant"，其实根据数据集文本的主要围绕主题区分的。抽取的元素方面，laptop和restaurant两文件夹中，数据的抽取元素也不同，laptop抽取的是方面类别和情感极性、restaura... | NEUDM/semeval-2014 | [
"task_categories:text-generation",
"language:en",
"region:us"
] | 2023-05-12T01:48:36+00:00 | {"language": ["en"], "task_categories": ["text-generation"]} | 2023-05-23T16:18:49+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-generation #language-English #region-us
| > 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
补充：SemEval-2014数据集文件夹中有两个文件夹"laptop"和"restaurant"，其实根据数据集文本的主要围绕主题区分的。抽取的元素方面，laptop和restaurant两文件夹中，数据的抽取元素也不同，laptop抽取的是方面类别和情感极性、restaura... | [
"#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。",
"#### 原始数据集\n- 数据链接\n- Paper：SemEval-2014 Task 4: As... | [
"TAGS\n#task_categories-text-generation #language-English #region-us \n",
"#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据... | [
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] | [
"passage: TAGS\n#task_categories-text-generation #language-English #region-us \n#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不... |
c43c506d5f8e35445f66cd9b9f22635da3bdae3a |
> 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
补充：SemEval-2015数据集文件夹中有两个文件夹"laptop"和"restaurant"，其实根据数据集文本的主要围绕主题区分的。抽取的元素方面，laptop和restaurant两文件夹中，数据的抽取元素也不同，laptop抽取的是方面类别和情感极性的二元组，res... | NEUDM/semeval-2015 | [
"language:en",
"region:us"
] | 2023-05-12T01:52:12+00:00 | {"language": ["en"]} | 2023-05-23T16:16:33+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
|
> 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
补充：SemEval-2015数据集文件夹中有两个文件夹"laptop"和"restaurant"，其实根据数据集文本的主要围绕主题区分的。抽取的元素方面，laptop和restaurant两文件夹中，数据的抽取元素也不同，laptop抽取的是方面类别和情感极性的二元组，res... | [
"#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。",
"#### 原始数据集\n- 数据链接\n- Paper：SemEval-2015 Task 12: A... | [
"TAGS\n#language-English #region-us \n",
"#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。",
"#### 原始数... | [
10,
127,
61,
102
] | [
"passage: TAGS\n#language-English #region-us \n#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。#### 原始数据集\... |
868ee486f2d528ad8b03715fc5a7edab64930ed7 |
> 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
#### 以acos数据集中抽取的jsonl文件一条数据举例：
```
{
"task_type": "generation",
"dataset": "acos",
"input": ["the computer has difficulty sw... | NEUDM/semeval-2016 | [
"language:en",
"region:us"
] | 2023-05-12T02:00:52+00:00 | {"language": ["en"]} | 2023-05-23T16:22:44+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
|
> 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
#### 以acos数据集中抽取的jsonl文件一条数据举例：
> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,... | [
"#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。",
"#### 原始数据集\n- 数据链接\n- Paper：SemEval-2016 Task 5: As... | [
"TAGS\n#language-English #region-us \n",
"#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。",
"#### 原始数... | [
10,
127,
61,
125
] | [
"passage: TAGS\n#language-English #region-us \n#### 以acos数据集中抽取的jsonl文件一条数据举例：\n\n\n> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。#### 原始数据集\... |
1bbdc2b18518b01c4633abeb8dc1d747dcc8bd63 | # Dataset Card for "StatBuddy_Data"
This data card will be left for the time being but I can keep it there for later.
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SalimK49/StatBuddy_Data | [
"region:us"
] | 2023-05-12T02:01:16+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "sql_query", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10633, "num_examples": 84}], "download_size": 4598, "dataset_size": 10633}} | 2023-05-12T03:51:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "StatBuddy_Data"
This data card will be left for the time being but I can keep it there for later.
More Information needed | [
"# Dataset Card for \"StatBuddy_Data\"\nThis data card will be left for the time being but I can keep it there for later.\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"StatBuddy_Data\"\nThis data card will be left for the time being but I can keep it there for later.\nMore Information needed"
] | [
6,
34
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"StatBuddy_Data\"\nThis data card will be left for the time being but I can keep it there for later.\nMore Information needed"
] |
698a9b18496d2ff7dfa9490cdf380bc36fd627de |
> 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
#### 以acos数据集中抽取的jsonl文件一条数据举例：
```
{
"task_type": "generation",
"dataset": "acos",
"input": ["the computer has difficulty sw... | NEUDM/towe | [
"language:en",
"region:us"
] | 2023-05-12T02:04:42+00:00 | {"language": ["en"]} | 2023-05-23T16:20:24+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
|
> 上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
#### 以acos数据集中抽取的jsonl文件一条数据举例：
> 此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,... | [
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0453b03bdf693871351d8952b8e9075adfbc317b | # Dataset Card for "chinese_landscape_paintings_1k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mingyy/chinese_landscape_paintings_1k | [
"region:us"
] | 2023-05-12T02:17:07+00:00 | {"dataset_info": {"features": [{"name": "target", "dtype": "image"}, {"name": "filename", "dtype": "string"}, {"name": "image_caption", "dtype": "string"}, {"name": "source", "dtype": "image"}, {"name": "hed", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 396424758.0, "num_examples": 1000}], "download_s... | 2023-05-14T20:25:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chinese_landscape_paintings_1k"
More Information needed | [
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e07cf65714b365e47e31df49bc06d094d0fdd3fd | # Dataset Card for "COCO-Text"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | howard-hou/COCO-Text | [
"region:us"
] | 2023-05-12T03:17:56+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "coco_file_name", "dtype": "string"}, {"name": "image_id", "dtype": "string"}, {"name": "caption", "sequence": "string"}, {"name": "ocr_tokens", "sequence": "string"}, {"name": "ocr_info", "list": [{"name": "word", "dtype": "string"}, {"name":... | 2023-05-12T04:22:01+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "COCO-Text"
More Information needed | [
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d1d7692228acbde386a054bcff9e3d0bda907fb3 |
# NLP: Sentiment Classification Dataset
This is a bundle dataset for a NLP task of sentiment classification in English.
There is a sample project is using this dataset [GURA-gru-unit-for-recognizing-affect](https://github.com/NatLee/GURA-gru-unit-for-recognizing-affect).
## Content
- `myanimelist-sts`: This datas... | NatLee/sentiment-classification-dataset-bundle | [
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|
# NLP: Sentiment Classification Dataset
This is a bundle dataset for a NLP task of sentiment classification in English.
There is a sample project is using this dataset GURA-gru-unit-for-recognizing-affect.
## Content
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1079bc9089cee17610c79d6e6f0a17691ff5050c | # Dataset Card for Dataset Name
### Dataset Summary
The benchmark datasets for document-level machine translation.
### Supported Tasks
Document-level Machine Translation Tasks.
### Languages
English-German
## Dataset Structure
### Data Instances
TED: iwslt17, News: nc2016, Europarl: europarl7
### Data Fields
... | gshbao/DocNMT | [
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] | 2023-05-12T06:00:08+00:00 | {"language": ["en", "de"], "license": "afl-3.0", "size_categories": ["100K<n<1M"], "task_categories": ["translation"], "pretty_name": "Doc-Level NMT"} | 2023-05-12T06:52:30+00:00 | [] | [
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#task_categories-translation #size_categories-100K<n<1M #language-English #language-German #license-afl-3.0 #region-us
| # Dataset Card for Dataset Name
### Dataset Summary
The benchmark datasets for document-level machine translation.
### Supported Tasks
Document-level Machine Translation Tasks.
### Languages
English-German
## Dataset Structure
### Data Instances
TED: iwslt17, News: nc2016, Europarl: europarl7
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465200a85cc852eb990eded867c19b19d4884f2f | # Dataset Card for "hfh4_oasst1_zh"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | dltdojo/hfh4_oasst1_zh | [
"region:us"
] | 2023-05-12T06:58:16+00:00 | {"dataset_info": {"features": [{"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 30744254.277176227, "num_examples": 19034}, {"name": "test", "num_bytes": 3416207.722823774, "num_examples": 2115}, {"name": "train_ift",... | 2023-05-12T08:08:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hfh4_oasst1_zh"
More Information needed | [
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01aa573ce4e0c2574a2e9ba8b4c67e7f56c5d083 | # CCAE: A Corpus of Chinese-based Asian Englishes
## Dataset Description
- **Repository:** https://github.com/jacklanda/CCAE
- **Paper:**
### Dataset Summary
Language models have been foundations in various scenarios of NLP applications, but it has not been well applied in language variety studies, even for the mo... | CCAE/CCAE-Corpus | [
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"task_categories:text-generation",
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] | 2023-05-12T07:17:59+00:00 | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "size_categories": ["100K<n<1M"], "task_categories": ["text-classification", "text-generation"], "pretty_name": "Colorful Candies Are Exciting"} | 2023-10-08T14:12:47+00:00 | [] | [
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#task_categories-text-classification #task_categories-text-generation #size_categories-100K<n<1M #language-English #license-cc-by-nc-nd-4.0 #region-us
| # CCAE: A Corpus of Chinese-based Asian Englishes
## Dataset Description
- Repository: URL
- Paper:
### Dataset Summary
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89bd33e221d4b76845b8eeec240c4e133d23c22e | # AI Horde Aesthetic and Artifact Ratings
A dataset of exported aesthetic and artifact ratings provided by the [AI Horde](https://aihorde.net) community through our [open ratings API](https://ratings.aihorde.net/api).
Each row in this dataset presents the rating for a single image from the [diffusiondb](https://poloc... | Haidra-Org/AI-Horde-Ratings | [
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"ratings",
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"region:us"
] | 2023-05-12T07:37:47+00:00 | {"language": ["en"], "license": "cc-by-sa-4.0", "pretty_name": "AI Horde Ratings", "tags": ["ratings", "stable diffusion", "aesthetic", "artifacts"]} | 2024-02-16T23:04:43+00:00 | [] | [
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#language-English #license-cc-by-sa-4.0 #ratings #stable diffusion #aesthetic #artifacts #region-us
| # AI Horde Aesthetic and Artifact Ratings
A dataset of exported aesthetic and artifact ratings provided by the AI Horde community through our open ratings API.
Each row in this dataset presents the rating for a single image from the diffusiondb. Each image UUID in this parquet will match the diffusiondb filename.
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c9b3269c03db2a04a86bc229c6d447dc562d0201 | Prost Aktiv - In ganz Italien gibt es Millionen von Männern, die an Prostatabeschwerden wie Entzündungen (Prostatitis) und Vergrößerungen (benigne Prostatahypertrophie) der Prostata leiden , und obwohl die erste Behandlung von Ihrem Arzt verschrieben werden muss, ist dies auch der Fall dass es Nahrungsergänzungsmitte... | prostaktiverfahrungen/prostaktiverfahrungen | [
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| Prost Aktiv - In ganz Italien gibt es Millionen von Männern, die an Prostatabeschwerden wie Entzündungen (Prostatitis) und Vergrößerungen (benigne Prostatahypertrophie) der Prostata leiden , und obwohl die erste Behandlung von Ihrem Arzt verschrieben werden muss, ist dies auch der Fall dass es Nahrungsergänzungsmitte... | [] | [
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0808de3ea0b531799ce5f97ed00955adc12036ff |
# Dataset Card for Dataset Name
### Dataset Summary
Text corpus dataset (fifa world cup 2022)
## Additional Information
### Citation Information
```
@misc{ enwiki:1154298520,
author = "{Wikipedia contributors}",
title = "2022 FIFA World Cup --- {Wikipedia}{,} The Free Encyclopedia",
year = "2023",
... | krinal/fifa_2022 | [
"task_categories:summarization",
"task_categories:text-generation",
"task_categories:question-answering",
"language:en",
"license:apache-2.0",
"region:us"
] | 2023-05-12T08:41:41+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["summarization", "text-generation", "question-answering"]} | 2023-05-12T09:05:11+00:00 | [] | [
"en"
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### Dataset Summary
Text corpus dataset (fifa world cup 2022)
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6c3a4ae18c7f07fda99312814e0bf4f7cab3fd85 | # Dataset Card for "cup_it_ds_split_with_lang"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ummagumm-a/cup_it_ds_split_with_lang | [
"region:us"
] | 2023-05-12T10:33:41+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "comments", "list": [{"name": "score", "dtype": "int64"}, {"name": "text", "dtype": "string"}]}, {"name": "lang", "dtype": "string"}, {"name": "lang_score", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 217538069, "num_exampl... | 2023-05-12T12:31:18+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cup_it_ds_split_with_lang"
More Information needed | [
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bffeeb05c932c2dfb7b3ec2f8e9643cfaa0d5b53 | # Dataset Card for "medsam-vit-base-cancer-dummy-data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | masapasa/medsam-vit-base-cancer-dummy-data | [
"region:us"
] | 2023-05-12T10:34:57+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 42431652.0, "num_examples": 130}], "download_size": 10004142, "dataset_size": 42431652.0}} | 2023-05-12T10:35:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "medsam-vit-base-cancer-dummy-data"
More Information needed | [
"# Dataset Card for \"medsam-vit-base-cancer-dummy-data\"\n\nMore Information needed"
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384eb79b722866980935dba622e022af860772ef | # Dataset Card for "truthfulqa_helm"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lighteval/truthfulqa_helm | [
"region:us"
] | 2023-05-12T10:42:54+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "gold_index", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 59000, "num_examples": 163}, {"name": "valid", "num_bytes": 218075, "num_examples": 654}], "download_size": 130906, "dat... | 2023-05-12T10:42:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "truthfulqa_helm"
More Information needed | [
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ae581b5d65d889d512166af33c7cb454075eff19 | # Dataset Card for "Fashion_controlnet_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Abrumu/Fashion_controlnet_dataset | [
"region:us"
] | 2023-05-12T10:48:44+00:00 | {"dataset_info": {"features": [{"name": "target", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "control", "dtype": "image"}, {"name": "CLIP_captions", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9533440093.0, "num_examples": 11647}], "download_size": 9530317166, "dataset_size": ... | 2023-05-15T23:45:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Fashion_controlnet_dataset"
More Information needed | [
"# Dataset Card for \"Fashion_controlnet_dataset\"\n\nMore Information needed"
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1c9fdebfabd1ff1dc7278b3cdcd5d692a34c7b36 | # Dataset Card for "chrf-eferenceless-salt-dev"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sunbird/chrf-referenceless-salt-dev | [
"region:us"
] | 2023-05-12T10:48:46+00:00 | {"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "target", "dtype": "string"}, {"name": "source_language", "dtype": "string"}, {"name": "target_language", "dtype": "string"}, {"name": "chrf", "dtype": "float64"}, {"name": "hypothesis", "dtype": "string"}], "splits": [{"name": "train", "num... | 2023-05-17T14:41:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "chrf-eferenceless-salt-dev"
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"passage: TAGS\n#region-us \n# Dataset Card for \"chrf-eferenceless-salt-dev\"\n\nMore Information needed"
] |
cb14887958cfff84c4eff127992cc944e894095b | # Dataset Card for "test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | burtenshaw/test | [
"region:us"
] | 2023-05-12T11:19:46+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "BATTERIES", "1": "CABLES & WIRES", "2": "HVA & FANS", "3": "LIGHTING", "4": "MOTORS", "5": "POWERSUPPL", "6": "SWITCHES", "7": "TUBES"}}}}], "splits": [{"nam... | 2023-05-12T11:24:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test"
More Information needed | [
"# Dataset Card for \"test\"\n\nMore Information needed"
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e342f33bdb5db18ba3c3118736b7733b5db8d880 | # Dataset Card for "lyrr-lanadelrey"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | adabingw/lyrr-lanadelrey | [
"region:us"
] | 2023-05-12T11:31:31+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 548833, "num_examples": 367}], "download_size": 241641, "dataset_size": 548833}} | 2023-05-15T01:02:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "lyrr-lanadelrey"
More Information needed | [
"# Dataset Card for \"lyrr-lanadelrey\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"lyrr-lanadelrey\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"lyrr-lanadelrey\"\n\nMore Information needed"
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f589236efcb1550fb358401eed264bf94ac8d13e |
# Overview
SGDD-TST - [Schema-Guided Dialogue Dataset for Text Style Transfer](https://arxiv.org/abs/2206.09676) is a dataset for evaluating the quality of content similarity measures for text style transfer in the domain of the personal plans. The original texts were obtained from [The Schema-Guided
Dialogue Datase... | NiGuLa/SGDD-TST | [
"task_categories:sentence-similarity",
"language:en",
"license:cc",
"text style transfer",
"arxiv:2206.09676",
"arxiv:1909.05855",
"region:us"
] | 2023-05-12T11:38:44+00:00 | {"language": ["en"], "license": "cc", "task_categories": ["sentence-similarity"], "pretty_name": "Schema-Guided Dialogue Dataset for Text Style Transfer", "tags": ["text style transfer"], "viewer": true} | 2023-05-12T12:16:58+00:00 | [
"2206.09676",
"1909.05855"
] | [
"en"
] | TAGS
#task_categories-sentence-similarity #language-English #license-cc #text style transfer #arxiv-2206.09676 #arxiv-1909.05855 #region-us
|
# Overview
SGDD-TST - Schema-Guided Dialogue Dataset for Text Style Transfer is a dataset for evaluating the quality of content similarity measures for text style transfer in the domain of the personal plans. The original texts were obtained from The Schema-Guided
Dialogue Dataset and were paraphrased by the T5-base... | [
"# Overview\n\nSGDD-TST - Schema-Guided Dialogue Dataset for Text Style Transfer is a dataset for evaluating the quality of content similarity measures for text style transfer in the domain of the personal plans. The original texts were obtained from The Schema-Guided\nDialogue Dataset and were paraphrased by the T... | [
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13576043b24ed177e28a43573fbe3266a611ade4 | # Dataset Card for "old_push2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | polinaeterna/old_push2 | [
"region:us"
] | 2023-05-12T12:22:07+00:00 | {"dataset_info": [{"config_name": "custom", "features": [{"name": "x", "dtype": "int64"}, {"name": "y", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 80, "num_examples": 5}], "download_size": 1317, "dataset_size": 80}, {"config_name": "default", "features": [{"name": "x", "dtype": "int64"}, {"name": "y"... | 2023-05-12T12:41:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "old_push2"
More Information needed | [
"# Dataset Card for \"old_push2\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"old_push2\"\n\nMore Information needed"
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fc66ff22c614f7ec5136d7cea757d96f4b112f51 | # Dataset Card for "rlhf-hackathon-data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | center-for-humans-and-machines/rlhf-hackathon-data | [
"region:us"
] | 2023-05-12T12:29:17+00:00 | {"dataset_info": {"features": [{"name": "prompt_id", "dtype": "int64"}, {"name": "answer_id_1", "dtype": "int64"}, {"name": "answer_id_2", "dtype": "int64"}, {"name": "identity", "dtype": "string"}, {"name": "preference_prompt", "dtype": "string"}, {"name": "preference", "dtype": "int64"}], "splits": [{"name": "train",... | 2023-05-12T12:29:21+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rlhf-hackathon-data"
More Information needed | [
"# Dataset Card for \"rlhf-hackathon-data\"\n\nMore Information needed"
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531de44c7ef26932f51de63a0af98bc4c9f84c8c |
# ニコニコ実況 過去ログアーカイブ
ニコニコ実況 過去ログアーカイブは、[ニコニコ実況](https://jk.nicovideo.jp)のサービス開始から現在までのすべての過去ログコメントを収集したデータセットです。
去る2020年12月、ニコニコ実況は[ニコニコ生放送内の一公式チャンネルとしてリニューアル](https://blog.nicovideo.jp/niconews/143148.html)されました。
これに伴い、2009年11月から運用されてきた旧システムは提供終了となり（事実上のサービス終了）、torne や BRAVIA などの家電への対応が軒並み終了する中、当時の生の声が詰まった約11年分の過去ロ... | KakologArchives/KakologArchives | [
"task_categories:text-classification",
"language:ja",
"license:mit",
"region:us"
] | 2023-05-12T12:31:56+00:00 | {"language": ["ja"], "license": "mit", "task_categories": ["text-classification"], "pretty_name": "\u30cb\u30b3\u30cb\u30b3\u5b9f\u6cc1 \u904e\u53bb\u30ed\u30b0\u30a2\u30fc\u30ab\u30a4\u30d6"} | 2024-02-17T17:42:32+00:00 | [] | [
"ja"
] | TAGS
#task_categories-text-classification #language-Japanese #license-mit #region-us
| ニコニコ実況 過去ログアーカイブ
================
ニコニコ実況 過去ログアーカイブは、ニコニコ実況のサービス開始から現在までのすべての過去ログコメントを収集したデータセットです。
去る2020年12月、ニコニコ実況はニコニコ生放送内の一公式チャンネルとしてリニューアルされました。
これに伴い、2009年11月から運用されてきた旧システムは提供終了となり（事実上のサービス終了）、torne や BRAVIA などの家電への対応が軒並み終了する中、当時の生の声が詰まった約11年分の過去ログも同時に失われることとなってしまいました。
そこで 5ch の DTV 板の住民が中心となり、旧ニコニコ実況が終了... | [
"### Builder Config",
"### Data Splits\n\n\nSplit: sample, Approximate Size: 1GB, Description: サンプルとして、2022年中に投稿された TOKYO MX (ID: jk9) のすべての過去ログコメントを取得します。1GB ほどあります。\nSplit: all, Approximate Size: 180GB, Description: 全チャンネル/全期間のすべての過去ログコメントを取得します。180GB 近くあるため注意してください。",
"### Data Fields\n\n\nField: thread, Typ... | [
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9248c7433697aeb6c9d33accdb4ded5c8c9b6674 |
# Dataset Card for XNLI-ca
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure... | projecte-aina/xnli-ca | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
"annotations_creators:professional translators",
"multilinguality:monolingual",
"size_categories:unknown",
"language:ca",
"license:cc-by-nc-sa-4.0",
"arxiv:1809.05053",
"region:us"
] | 2023-05-12T12:32:41+00:00 | {"annotations_creators": ["professional translators"], "language": ["ca"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["natural-language-inference"], "pretty_name": "xnli-ca"} | 2024-01-29T15:00:50+00:00 | [
"1809.05053"
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"ca"
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|
# Dataset Card for XNLI-ca
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Example
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
... | [
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907a48d3cd8008f11ae9782b2d54b999f2aebe54 | # Dataset Card for "rlhf-hackathon-prompts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | center-for-humans-and-machines/rlhf-hackathon-prompts | [
"region:us"
] | 2023-05-12T12:58:27+00:00 | {"dataset_info": {"features": [{"name": "prompt_id", "dtype": "int64"}, {"name": "prompt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1266, "num_examples": 19}], "download_size": 2556, "dataset_size": 1266}} | 2023-05-12T14:06:24+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rlhf-hackathon-prompts"
More Information needed | [
"# Dataset Card for \"rlhf-hackathon-prompts\"\n\nMore Information needed"
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54d11f2b539c23eceea55023dd196a9ec3c6bf19 | Датасет dialogsum переведенный на русский язык. Глюки перевода устранены автоматической чисткой | rcp-meetings/rudialogsum_v2 | [
"task_categories:text2text-generation",
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:ru",
"license:mit",
"region:us"
] | 2023-05-12T13:30:27+00:00 | {"language": ["ru"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text2text-generation", "summarization"]} | 2023-05-12T13:35:48+00:00 | [] | [
"ru"
] | TAGS
#task_categories-text2text-generation #task_categories-summarization #size_categories-10K<n<100K #language-Russian #license-mit #region-us
| Датасет dialogsum переведенный на русский язык. Глюки перевода устранены автоматической чисткой | [] | [
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9585988079b67ffee934cd417f3edb23c3eb5401 |
Original STORIES dataset from the paper [A Simple Method for Commonsense Reasoning](https://arxiv.org/pdf/1806.02847v2.pdf). | lucadiliello/STORIES | [
"task_categories:fill-mask",
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:en",
"license:cc",
"arxiv:1806.02847",
"region:us"
] | 2023-05-12T13:42:41+00:00 | {"language": ["en"], "license": "cc", "size_categories": ["100K<n<1M"], "task_categories": ["fill-mask", "text-generation"], "pretty_name": "STORIES", "dataset_info": {"features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 34099206982, "num_examples": 945354}, {"name": "dev", "num_... | 2023-07-18T06:19:25+00:00 | [
"1806.02847"
] | [
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] | TAGS
#task_categories-fill-mask #task_categories-text-generation #size_categories-100K<n<1M #language-English #license-cc #arxiv-1806.02847 #region-us
|
Original STORIES dataset from the paper A Simple Method for Commonsense Reasoning. | [] | [
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37f168f76da1cbc0fead701e96006892ed723549 | code:
https://i2d2.allen.ai/
https://arxiv.org/abs/2212.09246
```
@inproceedings{Bhagavatula2022GenGen,
title={Generating Generics: Knowledge Induction with NeuroLogic and Self-Imitation},
author={Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Sway... | tasksource/I2D2 | [
"task_categories:text-classification",
"language:en",
"license:apache-2.0",
"commonsense",
"arxiv:2212.09246",
"region:us"
] | 2023-05-12T13:55:55+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text-classification"], "tags": ["commonsense"]} | 2023-05-31T07:34:55+00:00 | [
"2212.09246"
] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #license-apache-2.0 #commonsense #arxiv-2212.09246 #region-us
| code:
URL
URL
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573301ba20219a35166586b9619c04e891ddd801 | # Dataset Card for "russian_poetry_with_keywords"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | AnyaSchen/russian_poetry_with_keywords | [
"region:us"
] | 2023-05-12T14:10:56+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "author", "dtype": "string"}, {"name": "keywords", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4073925, "num_examples": 7755}], "download_size": 2114437, "dataset_size": 4073925}} | 2023-05-23T09:32:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "russian_poetry_with_keywords"
More Information needed | [
"# Dataset Card for \"russian_poetry_with_keywords\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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6c3d1e4476f14696a0f2093a746dc4386a191e05 |
# DAIS-Question-Answers Dataset
This dataset contains question-answer pairs created using ChatGPT using text data scraped from the Databricks Data and AI Summit 2023 (DAIS 2023) [homepage](https://www.databricks.com/dataaisummit/)
as well as text from any public page that is linked in that page or is a two-hop linked... | aisquared/dais-question-answers | [
"task_categories:conversational",
"language:en",
"license:cc-by-nc-4.0",
"region:us"
] | 2023-05-12T14:15:25+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0", "task_categories": ["conversational"], "pretty_name": "Databricks Data and AI Summit 2023 Question-Answer Pairs"} | 2023-06-26T13:56:43+00:00 | [] | [
"en"
] | TAGS
#task_categories-conversational #language-English #license-cc-by-nc-4.0 #region-us
|
# DAIS-Question-Answers Dataset
This dataset contains question-answer pairs created using ChatGPT using text data scraped from the Databricks Data and AI Summit 2023 (DAIS 2023) homepage
as well as text from any public page that is linked in that page or is a two-hop linked page.
We have used this dataset to fine-tu... | [
"# DAIS-Question-Answers Dataset\n\nThis dataset contains question-answer pairs created using ChatGPT using text data scraped from the Databricks Data and AI Summit 2023 (DAIS 2023) homepage\nas well as text from any public page that is linked in that page or is a two-hop linked page.\n\nWe have used this dataset t... | [
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6fab59b1d86629077dc8aa25a333f9fff7cdf5a7 | # Dataset Card for "rmh_tokenized_512_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | stoddur/rmh_tokenized_512_train | [
"region:us"
] | 2023-05-12T14:18:41+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 71104398036.0, "num_examples": 10663527}], "download_size": 5448818845, "dataset_size": 71104398036.0}} | 2023-05-12T22:06:14+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rmh_tokenized_512_train"
More Information needed | [
"# Dataset Card for \"rmh_tokenized_512_train\"\n\nMore Information needed"
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"passage: TAGS\n#region-us \n# Dataset Card for \"rmh_tokenized_512_train\"\n\nMore Information needed"
] |
1c43d78b2ba45cd2a55e9bfd336d4935b2f50ec7 | # Dataset Card for "rmh_tokenized_512_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | stoddur/rmh_tokenized_512_test | [
"region:us"
] | 2023-05-12T14:19:26+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 3742341652.0, "num_examples": 561239}], "download_size": 1025438698, "dataset_size": 3742341652.0}} | 2023-05-12T14:31:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rmh_tokenized_512_test"
More Information needed | [
"# Dataset Card for \"rmh_tokenized_512_test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"rmh_tokenized_512_test\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"rmh_tokenized_512_test\"\n\nMore Information needed"
] |
f95716fb8655324baf7cea89944a12c7fbd2dc04 | # Dataset Card for "cup_it_ds_split_with_lang_with_topic"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ummagumm-a/cup_it_ds_split_with_lang_with_topic | [
"region:us"
] | 2023-05-12T14:36:34+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "comments", "list": [{"name": "score", "dtype": "int64"}, {"name": "text", "dtype": "string"}]}, {"name": "lang", "dtype": "string"}, {"name": "lang_score", "dtype": "float64"}, {"name": "topic", "dtype": "float64"}, {"name": "topic_prob", "dt... | 2023-05-12T14:48:29+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cup_it_ds_split_with_lang_with_topic"
More Information needed | [
"# Dataset Card for \"cup_it_ds_split_with_lang_with_topic\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cup_it_ds_split_with_lang_with_topic\"\n\nMore Information needed"
] | [
6,
26
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cup_it_ds_split_with_lang_with_topic\"\n\nMore Information needed"
] |
8eb5660e23fa15ba702aa7b2ee72edb51d0aab15 | # Dataset Card for "eli5-test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | explodinggradients/eli5-test | [
"region:us"
] | 2023-05-12T14:57:48+00:00 | {"dataset_info": {"features": [{"name": "context", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "ground_truth", "sequence": "string"}, {"name": "references", "sequence": "null"}, {"name": "generated_text", "dtype": "string"}], "splits": [{"name": "test_eli5", "num_bytes": 1159353, "num_examples":... | 2023-05-12T16:20:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "eli5-test"
More Information needed | [
"# Dataset Card for \"eli5-test\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"eli5-test\"\n\nMore Information needed"
] | [
6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"eli5-test\"\n\nMore Information needed"
] |
f79e7504f15d77a57896a91e79f324d2690fcc3e | # Dataset Card for "reddit_posts"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ummagumm-a/reddit_posts | [
"region:us"
] | 2023-05-12T15:50:51+00:00 | {"dataset_info": {"features": [{"name": "post_id", "dtype": "string"}, {"name": "post_title", "dtype": "string"}, {"name": "post_body", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "post_url", "dtype": "string"}, {"name": "flair_text", "dtype": "string"}, {"name": "score", "dtype": "int64"}, {... | 2023-05-13T03:33:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "reddit_posts"
More Information needed | [
"# Dataset Card for \"reddit_posts\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"reddit_posts\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"reddit_posts\"\n\nMore Information needed"
] |
fd1af4375c6681434f62ea052c65f526351a18fa | # Dataset Card for "reddit_posts_comments"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ummagumm-a/reddit_posts_comments | [
"region:us"
] | 2023-05-12T15:54:13+00:00 | {"dataset_info": {"features": [{"name": "post_id", "dtype": "string"}, {"name": "comment", "dtype": "string"}, {"name": "controversiality", "dtype": "int64"}, {"name": "edited", "dtype": "string"}, {"name": "is_submitter", "dtype": "bool"}, {"name": "score", "dtype": "int64"}, {"name": "num_comments_below", "dtype": "i... | 2023-05-13T03:33:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "reddit_posts_comments"
More Information needed | [
"# Dataset Card for \"reddit_posts_comments\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"reddit_posts_comments\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"reddit_posts_comments\"\n\nMore Information needed"
] |
cec6ddc8693caf83cff3d42800d36668c6623c1e | # Dataset Card for "summary_seq_label"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Astonzzh/summary_seq_label | [
"region:us"
] | 2023-05-12T15:58:29+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "ids", "sequence": "string"}, {"name": "words", "sequence": "string"}, {"name": "labels", "sequence": "int64"}, {"name": "summary", "dtype": "string"}, {"name": "sentences", "sequence": "string"}, {"name": "sentence_labels", "sequence": "int64"}... | 2023-05-15T15:58:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "summary_seq_label"
More Information needed | [
"# Dataset Card for \"summary_seq_label\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"summary_seq_label\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"summary_seq_label\"\n\nMore Information needed"
] |
9b9e083f6ed8f1a2a50070a59838de40ce313073 | # Dataset Card for "news_section"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Hansollll/news_section | [
"region:us"
] | 2023-05-12T16:47:30+00:00 | {"dataset_info": {"features": [{"name": "news_content", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 705995812, "num_examples": 295635}], "download_size": 399317655, "dataset_size": 705995812}} | 2023-05-12T16:53:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "news_section"
More Information needed | [
"# Dataset Card for \"news_section\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"news_section\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"news_section\"\n\nMore Information needed"
] |
9160346b537ea540c01a1da7867df53ed876763c | # Dataset Card for "VQAv2_test_no_image_split_0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_no_image_split_0 | [
"region:us"
] | 2023-05-12T16:48:20+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_i... | 2023-05-12T17:11:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_no_image_split_0"
More Information needed | [
"# Dataset Card for \"VQAv2_test_no_image_split_0\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_test_no_image_split_0\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_test_no_image_split_0\"\n\nMore Information needed"
] |
ef0cf3c6707b3b3ddfd8c4df1eb0da21f6c71792 | # Dataset Card for "VQAv2_test_no_image_split_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_no_image_split_1 | [
"region:us"
] | 2023-05-12T16:48:27+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_i... | 2023-05-12T17:12:47+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_no_image_split_1"
More Information needed | [
"# Dataset Card for \"VQAv2_test_no_image_split_1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_test_no_image_split_1\"\n\nMore Information needed"
] | [
6,
24
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_test_no_image_split_1\"\n\nMore Information needed"
] |
49e2601b05b8cac63e89a2890dcdb5911af21aa4 | # Dataset Card for "VQAv2_test_no_image_split_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_no_image_split_2 | [
"region:us"
] | 2023-05-12T16:48:33+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_i... | 2023-05-12T17:13:41+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_no_image_split_2"
More Information needed | [
"# Dataset Card for \"VQAv2_test_no_image_split_2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_test_no_image_split_2\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_test_no_image_split_2\"\n\nMore Information needed"
] |
73ca804d34cf5fae11bf51a3cf8fd101aa4c077c | # Dataset Card for "VQAv2_test_no_image_split_3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_no_image_split_3 | [
"region:us"
] | 2023-05-12T16:48:40+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_i... | 2023-05-12T17:14:39+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_no_image_split_3"
More Information needed | [
"# Dataset Card for \"VQAv2_test_no_image_split_3\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_test_no_image_split_3\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_test_no_image_split_3\"\n\nMore Information needed"
] |
db1610fee1b0943990d444ffaf45a9db036f40e5 | # Dataset Card for "VQAv2_test_no_image_split_4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_no_image_split_4 | [
"region:us"
] | 2023-05-12T16:48:46+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_i... | 2023-05-12T17:15:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_no_image_split_4"
More Information needed | [
"# Dataset Card for \"VQAv2_test_no_image_split_4\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_test_no_image_split_4\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_test_no_image_split_4\"\n\nMore Information needed"
] |
d545c7fada5f2b0d2c442ecb6a151bbddfea05dd | # Dataset Card for "VQAv2_test_no_image_split_5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_no_image_split_5 | [
"region:us"
] | 2023-05-12T16:48:53+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_i... | 2023-05-12T17:17:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_no_image_split_5"
More Information needed | [
"# Dataset Card for \"VQAv2_test_no_image_split_5\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_test_no_image_split_5\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_test_no_image_split_5\"\n\nMore Information needed"
] |
089906663cf4c9f2b9661c42a16df4ae5643e5f8 | # Dataset Card for "VQAv2_test_no_image_split_6"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_no_image_split_6 | [
"region:us"
] | 2023-05-12T16:48:59+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_i... | 2023-05-12T17:17:56+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_no_image_split_6"
More Information needed | [
"# Dataset Card for \"VQAv2_test_no_image_split_6\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_test_no_image_split_6\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_test_no_image_split_6\"\n\nMore Information needed"
] |
80dedbb4090332071dc936f1e9d1fbefe4f1098d | # Dataset Card for "VQAv2_test_no_image_split_7"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_no_image_split_7 | [
"region:us"
] | 2023-05-12T16:50:07+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_i... | 2023-05-12T17:18:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_no_image_split_7"
More Information needed | [
"# Dataset Card for \"VQAv2_test_no_image_split_7\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_test_no_image_split_7\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_test_no_image_split_7\"\n\nMore Information needed"
] |
161687707cf53db24d94bb054dbd44f0b83b1e2f | # Dataset Card for "VQAv2_test_no_image_split_8"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_no_image_split_8 | [
"region:us"
] | 2023-05-12T16:52:01+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_i... | 2023-05-12T17:19:54+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_no_image_split_8"
More Information needed | [
"# Dataset Card for \"VQAv2_test_no_image_split_8\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_test_no_image_split_8\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_test_no_image_split_8\"\n\nMore Information needed"
] |
311e38be71924bceb7dfef42913c4ddd62d5cd55 | # Dataset Card for "VQAv2_test_no_image_split_9"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_no_image_split_9 | [
"region:us"
] | 2023-05-12T16:52:12+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_i... | 2023-05-12T17:20:57+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_no_image_split_9"
More Information needed | [
"# Dataset Card for \"VQAv2_test_no_image_split_9\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VQAv2_test_no_image_split_9\"\n\nMore Information needed"
] | [
6,
25
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VQAv2_test_no_image_split_9\"\n\nMore Information needed"
] |
2fab856d27642ec6287b4162b11aa576b23ef0c2 |
# Dataset Card for Bulgarian QnA reasoning with ~2.7K entries.
### Dataset Summary
Contains Parquet of a list of instructions and answers.
Each row consists of
* INSTRUCTION
* RESPONSE
* SOURCE (reasoning_bg)
* METADATA (json with language, url, id).
### Original Dataset is available here:
* https://huggingface.... | 0x22almostEvil/reasoning_bg_oa | [
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:bg",
"license:apache-2.0",
"QnA",
"reasoning",
"region:us"
] | 2023-05-12T17:04:40+00:00 | {"language": ["bg"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["question-answering"], "tags": ["QnA", "reasoning"]} | 2023-05-13T14:42:11+00:00 | [] | [
"bg"
] | TAGS
#task_categories-question-answering #size_categories-1K<n<10K #language-Bulgarian #license-apache-2.0 #QnA #reasoning #region-us
|
# Dataset Card for Bulgarian QnA reasoning with ~2.7K entries.
### Dataset Summary
Contains Parquet of a list of instructions and answers.
Each row consists of
* INSTRUCTION
* RESPONSE
* SOURCE (reasoning_bg)
* METADATA (json with language, url, id).
### Original Dataset is available here:
* URL | [
"# Dataset Card for Bulgarian QnA reasoning with ~2.7K entries.",
"### Dataset Summary\n\nContains Parquet of a list of instructions and answers.\n\nEach row consists of\n\n* INSTRUCTION\n* RESPONSE\n* SOURCE (reasoning_bg)\n* METADATA (json with language, url, id).",
"### Original Dataset is available here:\n*... | [
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7d96081ef1d29fc846c06583d541a6a7ddfd77cf | # Dataset Card for "BilbaoCaptions"
## Dataset Description
- **Homepage:** https://github.com/TheMrguiller/MUCSI_Modal
- **Repository:** https://github.com/TheMrguiller/MUCSI_Modal
- **Paper:** It is a follow up of the Flamingo model paper
- **Leaderboard:**
- **Point of Contact:** https://github.com/TheMrguiller/MUC... | TheMrguiller/BilbaoCaptions | [
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- Leaderboard:
- Point of Contact: URL
### Dataset Summary
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691b0d9bd48ade766778c940011ca1c549f6359b | License: CDLA-Sharing-1.0
-------------
Dataset containing synthetically generated (by GPT-3.5 and GPT-4) short stories that only use a small vocabulary.
Described in the following paper: https://arxiv.org/abs/2305.07759.
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| License: CDLA-Sharing-1.0
-------------
Dataset containing synthetically generated (by GPT-3.5 and GPT-4) short stories that only use a small vocabulary.
Described in the following paper: URL
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a81294498cc4a2465df5186ea1bfa5b7c5581bbf | # Dataset Card for "VQAv2_test_split_0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_split_0 | [
"region:us"
] | 2023-05-12T18:19:50+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_i... | 2023-05-12T18:44:08+00:00 | [] | [] | TAGS
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8de58158714fd31bff13530852b4e1d06862abc8 | # Dataset Card for "VQAv2_test_split_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_split_1 | [
"region:us"
] | 2023-05-12T18:21:47+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_i... | 2023-05-12T18:47:18+00:00 | [] | [] | TAGS
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5e55a222ddb457ab34b87b8261b47ff37fb7998f | # Dataset Card for "VQAv2_test_split_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_split_2 | [
"region:us"
] | 2023-05-12T18:23:48+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_i... | 2023-05-12T18:50:23+00:00 | [] | [] | TAGS
#region-us
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ae13de32bce9f539112461b95715a936da4ee86e | # Dataset Card for "VQAv2_test_split_3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_split_3 | [
"region:us"
] | 2023-05-12T18:25:43+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_i... | 2023-05-12T18:53:21+00:00 | [] | [] | TAGS
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c1e0bdefa7c4d8d1b612f57dc03b9dc5088099af | # Dataset Card for "VQAv2_test_split_4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_split_4 | [
"region:us"
] | 2023-05-12T18:27:52+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_i... | 2023-05-12T18:56:33+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_split_4"
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84498b18c7e9a2575bea164a20307a57fba4a0f1 | # Dataset Card for "VQAv2_test_split_5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_split_5 | [
"region:us"
] | 2023-05-12T18:30:07+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_i... | 2023-05-12T18:59:46+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_split_5"
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42bfb0c5aa236c1bed35e46c021b587e52188c98 | # Dataset Card for "VQAv2_test_split_6"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_split_6 | [
"region:us"
] | 2023-05-12T18:32:06+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_i... | 2023-05-12T19:02:53+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VQAv2_test_split_6"
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46f72bfea875fb7e025d7c58b142eb7b5e33bfa0 | # Dataset Card for "VQAv2_test_split_7"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_split_7 | [
"region:us"
] | 2023-05-12T18:33:59+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_i... | 2023-05-12T19:05:57+00:00 | [] | [] | TAGS
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d6c36ae89ba8d4128a29affb7b3b9042b5e13e31 | # Dataset Card for "VQAv2_test_split_8"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_split_8 | [
"region:us"
] | 2023-05-12T18:36:01+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_i... | 2023-05-12T19:09:05+00:00 | [] | [] | TAGS
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11b063b6ab6217a321afbc6dc0663845feef83b3 | # Dataset Card for "VQAv2_test_split_9"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Multimodal-Fatima/VQAv2_test_split_9 | [
"region:us"
] | 2023-05-12T18:38:30+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_i... | 2023-05-12T19:12:10+00:00 | [] | [] | TAGS
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6263585072ce3b435ed09658613553fbf4e74184 |
# Dataset Card for NevIR: Negation in Neural Information Retrieval
## Dataset Description
- **Repository:** [https://github.com/orionw/NevIR](https://github.com/orionw/NevIR)
- **Paper:** [https://arxiv.org/abs/2212.10002](https://arxiv.org/abs/2212.10002)
- **Point of Contact:** oweller@cs.jhu.edu
## Dataset Sum... | orionweller/NevIR | [
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"IR",
"arxiv:2212.10002",
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|
# Dataset Card for NevIR: Negation in Neural Information Retrieval
## Dataset Description
- Repository: URL
- Paper: URL
- Point of Contact: oweller@URL
## Dataset Summary
Data from the paper: "NevIR: Negation in Neural Information Retrieval".
If you use this dataset, we would appreciate you citing our work:
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918dce81f05bb339db1b2bc2ebbd2d16594fb269 | # Dataset Card for "DR_Grading"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sngsfydy/DR_Grading | [
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bd8fd30cc9e92e4f30d97bc29299ece440c1419e |
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
For this dataset, we selected literary texts in Russian that are closest in style and subject matter to real diary entries, giving priority to te... | senyukhin/ru-ego-literature | [
"task_categories:summarization",
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"language:ru",
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"art",
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b02965cb213359218fe5083750a3613e381d9599 |
# LICENSE
This is a dataset generated with the help of WizardLM. Therefore, the terms of use are restricted to research/academic only.
# What is this
This is a collection of .txt files with a prompt and the expected output. For instance:
```
#####PROMPT:
Question: Make sure the task is unique and adds value to the ... | paolorechia/medium-size-generated-tasks | [
"size_categories:1K<n<10K",
"language:en",
"license:other",
"ReAct",
"LLM",
"Agent",
"langchain",
"region:us"
] | 2023-05-12T20:13:16+00:00 | {"language": ["en"], "license": "other", "size_categories": ["1K<n<10K"], "tags": ["ReAct", "LLM", "Agent", "langchain"]} | 2023-05-12T20:45:52+00:00 | [] | [
"en"
] | TAGS
#size_categories-1K<n<10K #language-English #license-other #ReAct #LLM #Agent #langchain #region-us
|
# LICENSE
This is a dataset generated with the help of WizardLM. Therefore, the terms of use are restricted to research/academic only.
# What is this
This is a collection of .txt files with a prompt and the expected output. For instance:
# What is it for
This is meant to help training LLama based models at using t... | [
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2a46ea4ded1f26faa61e49859164bfe03c720294 | # Dataset Card for "oig_small_chip2_noncode"
From LAION's Open Instruction Generalist (OIG) dataset, we provide a subset whose samples are not code-related. OIG text elements are formatted as dialogue exerpts between a "human" and "bot" agent. The code generation prompt is parsed from the initial "human" agent's state... | lucasmccabe-lmi/oig_small_chip2_noncode | [
"region:us"
] | 2023-05-12T20:21:50+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "input", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 54969398.0, "num_examples": 150453}], "download_size": 34598598, "dataset_size": 54969398.0}} | 2023-05-15T19:15:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "oig_small_chip2_noncode"
From LAION's Open Instruction Generalist (OIG) dataset, we provide a subset whose samples are not code-related. OIG text elements are formatted as dialogue exerpts between a "human" and "bot" agent. The code generation prompt is parsed from the initial "human" agent's state... | [
"# Dataset Card for \"oig_small_chip2_noncode\"\n\nFrom LAION's Open Instruction Generalist (OIG) dataset, we provide a subset whose samples are not code-related. OIG text elements are formatted as dialogue exerpts between a \"human\" and \"bot\" agent. The code generation prompt is parsed from the initial \"human\... | [
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d298bbe730ce26f8b9fef84dcb67cfaed98ee962 | # Dataset Card for "ar-tweets1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sanaeai/ar_tweets1 | [
"region:us"
] | 2023-05-12T20:32:13+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "input", "dtype": "string"}, {"name": "output", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7864711, "num_examples": 46452}], "download_size": 3336933, "dataset_size": 7864711}} | 2023-05-12T20:32:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ar-tweets1"
More Information needed | [
"# Dataset Card for \"ar-tweets1\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
"# Dataset Card for \"ar-tweets1\"\n\nMore Information needed"
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6e32506b06d0418d4a7166e4284a24a8a470e8bf | # Dataset Card for "BilbaoQA"
## Dataset Description
- **Homepage:** https://github.com/TheMrguiller/MUCSI_Modal
- **Repository:** https://github.com/TheMrguiller/MUCSI_Modal
- **Paper:** It is a follow up of the Flamingo model paper
- **Leaderboard:**
- **Point of Contact:** https://github.com/TheMrguiller/MUCSI_Mod... | TheMrguiller/BilbaoQA | [
"task_categories:question-answering",
"task_categories:visual-question-answering",
"size_categories:100B<n<1T",
"language:en",
"code",
"region:us"
] | 2023-05-12T20:48:21+00:00 | {"language": ["en"], "size_categories": ["100B<n<1T"], "task_categories": ["question-answering", "visual-question-answering"], "dataset_info": {"features": [{"name": "caption", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "question", "dtype": "string"}, {"name": "choices", "dtype": "string"}, {"nam... | 2023-08-24T10:48:31+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-visual-question-answering #size_categories-100B<n<1T #language-English #code #region-us
| # Dataset Card for "BilbaoQA"
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: It is a follow up of the Flamingo model paper
- Leaderboard:
- Point of Contact: URL
### Dataset Summary
This dataset was collected for a proyect for a master degree in Computation and Intelligent System from University of... | [
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"# Dataset Card for \"BilbaoQA\"",
"## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: It is a follow up of the Flamingo model paper\n- Lea... | [
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48eab62ea15c3e2c3baa23b618ce5893f6e2e113 | # Dataset Card for "Fashion_controlnet_dataset_V2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Abrumu/Fashion_controlnet_dataset_V2 | [
"region:us"
] | 2023-05-12T20:59:41+00:00 | {"dataset_info": {"features": [{"name": "target", "dtype": "image"}, {"name": "prompt", "dtype": "string"}, {"name": "control", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 5104536210.928, "num_examples": 11647}], "download_size": 5149782695, "dataset_size": 5104536210.928}} | 2023-05-12T21:07:49+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Fashion_controlnet_dataset_V2"
More Information needed | [
"# Dataset Card for \"Fashion_controlnet_dataset_V2\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
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7737960779e1a2547d022f3e96d94f4cb40b54f4 | # Dataset Card for Dataset: OktoberfestFoodDatasetPlus
## Dataset Description
- **Homepage: www.ilass.com**
- **Repository: https://github.com/ilassAG/OktoberfestFoodDataset**
- **Paper: https://arxiv.org/abs/1912.05007**
### Dataset Summary
This dataset comprises three categories: drinkServed, foodServed, perso... | ilass/OktoberfestFoodDatasetPlus | [
"task_categories:object-detection",
"size_categories:1K<n<10K",
"license:bsd",
"arxiv:1912.05007",
"region:us"
] | 2023-05-12T21:21:02+00:00 | {"license": "bsd", "size_categories": ["1K<n<10K"], "task_categories": ["object-detection"]} | 2023-05-28T12:14:54+00:00 | [
"1912.05007"
] | [] | TAGS
#task_categories-object-detection #size_categories-1K<n<10K #license-bsd #arxiv-1912.05007 #region-us
| # Dataset Card for Dataset: OktoberfestFoodDatasetPlus
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
### Dataset Summary
This dataset comprises three categories: drinkServed, foodServed, person.
Part of it consists of real camera footage annotated by hand, while the rest is synthetically ... | [
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f7c267f857feb7410d0af89273d68dfac1650c0a | # Dataset Card for "rest23_sentiment_data"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | javilonso/rest23_sentiment_data | [
"region:us"
] | 2023-05-12T21:53:31+00:00 | {"dataset_info": {"features": [{"name": "Title", "dtype": "string"}, {"name": "Review", "dtype": "string"}, {"name": "Polarity", "dtype": "int64"}, {"name": "Country", "dtype": "int64"}, {"name": "Type", "dtype": "int64"}, {"name": "Title_Review", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "s... | 2023-05-12T21:53:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "rest23_sentiment_data"
More Information needed | [
"# Dataset Card for \"rest23_sentiment_data\"\n\nMore Information needed"
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4ef381da248c0dcc147fad955ebb0147d7ebf1af | !pip install PyPDF2
import PyPDF2
archivo_pdf = open('/content/drive/MyDrive/FULL-Seminario/Proyectos/rac_gpt/notebooks/pruebas/https___www.aerocivil.gov.co_normatividad_RAC_RAC 1 - Definiciones.pdf', 'rb')
lector_pdf = PyPDF2.PdfReader(archivo_pdf)
contenido_texto = ""
for pagina in lector_pdf.pages:
conteni... | BlitzKriegM/prueba | [
"region:us"
] | 2023-05-12T22:14:48+00:00 | {} | 2023-05-13T00:33:53+00:00 | [] | [] | TAGS
#region-us
| !pip install PyPDF2
import PyPDF2
archivo_pdf = open('/content/drive/MyDrive/FULL-Seminario/Proyectos/rac_gpt/notebooks/pruebas/https___www.URL.co_normatividad_RAC_RAC 1 - URL', 'rb')
lector_pdf = PyPDF2.PdfReader(archivo_pdf)
contenido_texto = ""
for pagina in lector_pdf.pages:
contenido_texto += pagina.extr... | [] | [
"TAGS\n#region-us \n"
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c320b8d22a317bcb994207db937f1b60546cabcf | # Dataset Card for "c4_t5_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hlillemark/c4_t5_test | [
"region:us"
] | 2023-05-12T22:29:13+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 263101800, "num_examples": 49270}, {"name": "validation", "num_bytes": 26283480, "num_examples": 4922}], "download_size": 121664633, "dataset_size": 289385280}} | 2023-05-12T22:29:27+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "c4_t5_test"
More Information needed | [
"# Dataset Card for \"c4_t5_test\"\n\nMore Information needed"
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"TAGS\n#region-us \n",
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8a9d309da9157ad56c547a4f0d034f521acf0b7f | # Dataset Card for "gpt4all_code_small"
We provide a code-related subset of the original nomic-ai/gpt4all-j-prompt-generations (v1.2-jazzy revision) dataset, which represents 1) those records whose prompts were sourced from pacovaldez/stackoverflow-questions, 2) who explicitly mention one of Python, Java, C++, SQL, Ko... | lucasmccabe-lmi/gpt4all_code_small | [
"region:us"
] | 2023-05-12T22:48:36+00:00 | {"dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "input", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 130633918.0, "num_examples": 36856}], "download_size": 62911071, "dataset_size": 130633918.0}} | 2023-05-15T18:55:32+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "gpt4all_code_small"
We provide a code-related subset of the original nomic-ai/gpt4all-j-prompt-generations (v1.2-jazzy revision) dataset, which represents 1) those records whose prompts were sourced from pacovaldez/stackoverflow-questions, 2) who explicitly mention one of Python, Java, C++, SQL, Ko... | [
"# Dataset Card for \"gpt4all_code_small\"\n\nWe provide a code-related subset of the original nomic-ai/gpt4all-j-prompt-generations (v1.2-jazzy revision) dataset, which represents 1) those records whose prompts were sourced from pacovaldez/stackoverflow-questions, 2) who explicitly mention one of Python, Java, C++... | [
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265589302460bc30d2e62f6ba7ab642ecfa87f4d | # Hypernerf Practice custom scenes Datasets
- hand
- chess
- laptop
- dvd
- tomato-mark | xieyizheng/hypernerf_custom_scenes | [
"region:us"
] | 2023-05-12T23:01:40+00:00 | {} | 2023-05-15T14:44:15+00:00 | [] | [] | TAGS
#region-us
| # Hypernerf Practice custom scenes Datasets
- hand
- chess
- laptop
- dvd
- tomato-mark | [
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9377b6b84db5381c0b89c9536015acb7e0c3fffd | # Dataset Card for "c4_t5_10m"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hlillemark/c4_t5_10m | [
"region:us"
] | 2023-05-12T23:49:46+00:00 | {"dataset_info": {"features": [{"name": "input_ids", "sequence": "int32"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 54681600000, "num_examples": 10240000}, {"name": "validation", "num_bytes": 53400000, "num_examples": 10000}], "download_size": 22999280634, "dataset_size": 5473... | 2023-05-13T00:27:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "c4_t5_10m"
More Information needed | [
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2391a430b8bb92b7cf0677a541a180a310497d4f | A collection of annotation files vision language datasets used in OpenFlamingo's [evaluation suite](https://github.com/mlfoundations/open_flamingo/tree/main/open_flamingo/eval). | openflamingo/eval_benchmark | [
"region:us"
] | 2023-05-13T00:04:10+00:00 | {} | 2023-08-10T04:56:18+00:00 | [] | [] | TAGS
#region-us
| A collection of annotation files vision language datasets used in OpenFlamingo's evaluation suite. | [] | [
"TAGS\n#region-us \n"
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6
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50654e71b5f2d5bb646d7a23e36f4b480b1d0576 | # Dataset Card for "code-search-net-java"
## Dataset Description
- **Homepage:** None
- **Repository:** https://huggingface.co/datasets/Nan-Do/code-search-net-Java
- **Paper:** None
- **Leaderboard:** None
- **Point of Contact:** [@Nan-Do](https://github.com/Nan-Do)
### Dataset Summary
This dataset is the Java por... | Nan-Do/code-search-net-java | [
"task_categories:text2text-generation",
"task_categories:summarization",
"task_categories:text-generation",
"language:en",
"license:apache-2.0",
"code",
"java",
"CodeSearchNet",
"summary",
"region:us"
] | 2023-05-13T01:03:07+00:00 | {"language": ["en"], "license": "apache-2.0", "task_categories": ["text2text-generation", "summarization", "text-generation"], "pretty_name": "Java CodeSearchNet with Summaries", "dataset_info": {"features": [{"name": "repo", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "func_name", "dtype": "strin... | 2023-05-14T23:57:06+00:00 | [] | [
"en"
] | TAGS
#task_categories-text2text-generation #task_categories-summarization #task_categories-text-generation #language-English #license-apache-2.0 #code #java #CodeSearchNet #summary #region-us
| # Dataset Card for "code-search-net-java"
## Dataset Description
- Homepage: None
- Repository: URL
- Paper: None
- Leaderboard: None
- Point of Contact: @Nan-Do
### Dataset Summary
This dataset is the Java portion of the CodeSarchNet annotated with a summary column.
The code-search-net dataset includes open sou... | [
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9c7a83f9102f310934ca84258d40a5c7d116fa46 | # Dataset Card for Dataset Name
### Dataset Summary
This dataset is a subset of Kaggle's Google Landmark Recognition 2021 competition with only the categories with more than 500 images.
https://www.kaggle.com/competitions/landmark-recognition-2021/data
The dataset consists of a total of 45579 224x224 color images ... | pemujo/GLDv2_Top_51_Categories | [
"size_categories:n<1K",
"language:en",
"region:us"
] | 2023-05-13T01:54:50+00:00 | {"language": ["en"], "size_categories": ["n<1K"], "pretty_name": "GLDv2 Top 51 Categories", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "landmark_id", "dtype": "int64"}, {"name": "category", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "label", "dtype": "int64"}], "spl... | 2023-05-18T07:30:54+00:00 | [] | [
"en"
] | TAGS
#size_categories-n<1K #language-English #region-us
| Dataset Card for Dataset Name
=============================
### Dataset Summary
This dataset is a subset of Kaggle's Google Landmark Recognition 2021 competition with only the categories with more than 500 images.
URL
The dataset consists of a total of 45579 224x224 color images in 51 categories.
### Languages
... | [
"### Dataset Summary\n\n\nThis dataset is a subset of Kaggle's Google Landmark Recognition 2021 competition with only the categories with more than 500 images.\nURL\n\n\nThe dataset consists of a total of 45579 224x224 color images in 51 categories.",
"### Languages\n\n\nEnglish\n\n\nDataset Structure\n----------... | [
"TAGS\n#size_categories-n<1K #language-English #region-us \n",
"### Dataset Summary\n\n\nThis dataset is a subset of Kaggle's Google Landmark Recognition 2021 competition with only the categories with more than 500 images.\nURL\n\n\nThe dataset consists of a total of 45579 224x224 color images in 51 categories.",... | [
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"passage: TAGS\n#size_categories-n<1K #language-English #region-us \n### Dataset Summary\n\n\nThis dataset is a subset of Kaggle's Google Landmark Recognition 2021 competition with only the categories with more than 500 images.\nURL\n\n\nThe dataset consists of a total of 45579 224x224 color images in 51 categories... |
492d7a0f7cae416d20629233e57b3eb03e1b3a44 |
# Dataset Card for luotuo-QA-A
## Dataset Description
- **Homepage:** https://github.com/LC1332/Luotuo-Chinese-LLM
- **Repository:** https://github.com/LC1332/Luotuo-QA
- **Point of Contact:** qinyu_luo@163.com
### Dataset Summary
CoQA(Conversational Question Answering)数据集是一个用于对话式问答任务的大规模数据集，包含超过127,000个问题及其对应的答案... | Logic123456789/Test_Liscence | [
"task_categories:question-answering",
"language:zh",
"language:en",
"license:other",
"region:us"
] | 2023-05-13T01:54:52+00:00 | {"language": ["zh", "en"], "license": "other", "task_categories": ["question-answering"], "extra_gated_prompt": "\u6211\u4eec\u7ffb\u8bd1\u4e86CoQA\u6570\u636e\u96c6\uff0c\u8bf7\u4ed4\u7ec6\u9605\u8bfb\u4ee5\u4e0b\u4fe1\u606f\u3002", "extra_gated_heading": "\u60a8\u9700\u8981\u63a5\u53d7\u534f\u8bae\u5e76\u63d0\u4ea4\u... | 2023-05-15T05:51:49+00:00 | [] | [
"zh",
"en"
] | TAGS
#task_categories-question-answering #language-Chinese #language-English #license-other #region-us
|
# Dataset Card for luotuo-QA-A
## Dataset Description
- Homepage: URL
- Repository: URL
- Point of Contact: qinyu_luo@URL
### Dataset Summary
CoQA(Conversational Question Answering)数据集是一个用于对话式问答任务的大规模数据集，包含超过127,000个问题及其对应的答案。这些文本来自七个不同领域的段落：儿童故事、文学作品、中学和高中英语考试、新闻、维基百科、Reddit和Science。
CoQA数据集经过简单清洗，共有7012个story，... | [
"# Dataset Card for luotuo-QA-A",
"## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Point of Contact: qinyu_luo@URL",
"### Dataset Summary\n\nCoQA(Conversational Question Answering)数据集是一个用于对话式问答任务的大规模数据集，包含超过127,000个问题及其对应的答案。这些文本来自七个不同领域的段落：儿童故事、文学作品、中学和高中英语考试、新闻、维基百科、Reddit和Science。\n\nCoQA数据集经... | [
"TAGS\n#task_categories-question-answering #language-Chinese #language-English #license-other #region-us \n",
"# Dataset Card for luotuo-QA-A",
"## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Point of Contact: qinyu_luo@URL",
"### Dataset Summary\n\nCoQA(Conversational Question Answering)数据集是... | [
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"passage: TAGS\n#task_categories-question-answering #language-Chinese #language-English #license-other #region-us \n# Dataset Card for luotuo-QA-A## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Point of Contact: qinyu_luo@URL"
] |
eaaa6cc6c8dcdefba3d29c04e8434ff9524842b7 | # Dataset Card for "UN_PDF_SUBSET_PREPROCESSED"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bot-yaya/UN_PDF_SUBSET_PREPROCESSED | [
"region:us"
] | 2023-05-13T04:10:37+00:00 | {"dataset_info": {"features": [{"name": "zh", "dtype": "string"}, {"name": "en", "dtype": "string"}, {"name": "fr", "dtype": "string"}, {"name": "es", "dtype": "string"}, {"name": "ru", "dtype": "string"}, {"name": "record", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 589332110, "num_examples": 2950}... | 2023-05-13T04:14:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "UN_PDF_SUBSET_PREPROCESSED"
More Information needed | [
"# Dataset Card for \"UN_PDF_SUBSET_PREPROCESSED\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"UN_PDF_SUBSET_PREPROCESSED\"\n\nMore Information needed"
] | [
6,
22
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"passage: TAGS\n#region-us \n# Dataset Card for \"UN_PDF_SUBSET_PREPROCESSED\"\n\nMore Information needed"
] |
629321e6db45881c0cbe021d62e9dba991b702e4 |
# 25K Unsplash Images for Search
This is a derivative work based on two existing datasets.
- `images.csv` metadata from [Unsplash](https://github.com/unsplash/datasets), sorted and converted to CSV.
- `images/` in 250x250 resolution by [kaggle/@jettchentt](https://www.kaggle.com/datasets/jettchentt/unsplash-dataset-... | unum-cloud/ann-unsplash-25k | [
"license:apache-2.0",
"region:us"
] | 2023-05-13T04:25:41+00:00 | {"license": "apache-2.0"} | 2023-08-16T09:29:10+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# 25K Unsplash Images for Search
This is a derivative work based on two existing datasets.
- 'URL' metadata from Unsplash, sorted and converted to CSV.
- 'images/' in 250x250 resolution by kaggle/@jettchentt.
- 'URL' is a binary file with UForm image embeddings.
- 'images.usearch' is a binary file with a serialized ... | [
"# 25K Unsplash Images for Search\n\nThis is a derivative work based on two existing datasets.\n\n- 'URL' metadata from Unsplash, sorted and converted to CSV.\n- 'images/' in 250x250 resolution by kaggle/@jettchentt.\n- 'URL' is a binary file with UForm image embeddings.\n- 'images.usearch' is a binary file with a ... | [
"TAGS\n#license-apache-2.0 #region-us \n",
"# 25K Unsplash Images for Search\n\nThis is a derivative work based on two existing datasets.\n\n- 'URL' metadata from Unsplash, sorted and converted to CSV.\n- 'images/' in 250x250 resolution by kaggle/@jettchentt.\n- 'URL' is a binary file with UForm image embeddings.... | [
14,
192
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"passage: TAGS\n#license-apache-2.0 #region-us \n# 25K Unsplash Images for Search\n\nThis is a derivative work based on two existing datasets.\n\n- 'URL' metadata from Unsplash, sorted and converted to CSV.\n- 'images/' in 250x250 resolution by kaggle/@jettchentt.\n- 'URL' is a binary file with UForm image embeddin... |
6e929995592a22240193847adf07cbbeb43e8ad9 | # Dataset Card for "Hatefulmemes_test_google_flan_t5_xl_mode_T_A_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_xl_mode_T_A_C_OCR_rices_ns_1000 | [
"region:us"
] | 2023-05-13T04:26:46+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_ViT_L_14_with_openai_Attributes_ViT_L_14_descriptors_text_davinci_003_full_DETA_detec... | 2023-05-13T04:36:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Hatefulmemes_test_google_flan_t5_xl_mode_T_A_C_OCR_rices_ns_1000"
More Information needed | [
"# Dataset Card for \"Hatefulmemes_test_google_flan_t5_xl_mode_T_A_C_OCR_rices_ns_1000\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Hatefulmemes_test_google_flan_t5_xl_mode_T_A_C_OCR_rices_ns_1000\"\n\nMore Information needed"
] | [
6,
44
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"passage: TAGS\n#region-us \n# Dataset Card for \"Hatefulmemes_test_google_flan_t5_xl_mode_T_A_C_OCR_rices_ns_1000\"\n\nMore Information needed"
] |
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