sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags sequencelengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv sequencelengths 0 25 | languages sequencelengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists sequencelengths 0 352 | processed_texts sequencelengths 1 353 | tokens_length sequencelengths 1 353 | input_texts sequencelengths 1 40 | embeddings sequencelengths 768 768 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
15ef643450d589d5883e289ffadeb03563e80a9e |
# Dataset Card for Acronym Identification Dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instanc... | acronym_identification | [
"task_categories:token-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:mit",
"acronym-identification",
"arxiv:2010.14678",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": [], "paperswithcode_id": "acronym-identi... | 2024-01-09T11:39:57+00:00 | [
"2010.14678"
] | [
"en"
] | TAGS
#task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #acronym-identification #arxiv-2010.14678 #region-us
|
# Dataset Card for Acronym Identification Dataset
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Perso... | [
"# Dataset Card for Acronym Identification Dataset",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - A... | [
"TAGS\n#task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #acronym-identification #arxiv-2010.14678 #region-us \n",
"# Dataset Card for Acronym Ident... | [
90,
12,
120,
53,
44,
69,
19,
6,
61,
155,
36,
5,
168,
4,
80,
46,
5,
246,
37,
50,
8,
7,
8,
25,
5,
6,
28,
20
] | [
"passage: TAGS\n#task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #acronym-identification #arxiv-2010.14678 #region-us \n# Dataset Card for Acronym Id... | [
-0.02436942793428898,
0.15746626257896423,
-0.0045557101257145405,
-0.004116695839911699,
0.06653529405593872,
0.020368661731481552,
0.08753132820129395,
0.12000302225351334,
0.04328465834259987,
0.14245560765266418,
-0.023542236536741257,
-0.017182834446430206,
0.07694245874881744,
0.0677... |
4ba01c71687dd7c996597042449448ea312126cf |
# Dataset Card for Adverse Drug Reaction Data v2
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instance... | ade_corpus_v2 | [
"task_categories:text-classification",
"task_categories:token-classification",
"task_ids:coreference-resolution",
"task_ids:fact-checking",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"size_categories:1K<n<10K",
"... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K", "1K<n<10K", "n<1K"], "source_datasets": ["original"], "task_categories": ["text-classification", "token-classification"], "task... | 2024-01-09T11:42:58+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-token-classification #task_ids-coreference-resolution #task_ids-fact-checking #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #size_categories-1K<n<10K #size_categories-n<1K #source_datase... | Dataset Card for Adverse Drug Reaction Data v2
==============================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curati... | [
"### Dataset Summary\n\n\nADE-Corpus-V2 Dataset: Adverse Drug Reaction Data.\nThis is a dataset for Classification if a sentence is ADE-related (True) or not (False) and Relation Extraction between Adverse Drug Event and Drug.\nURL provides relations between drugs and adverse effects.\nURL provides relations betwee... | [
"TAGS\n#task_categories-text-classification #task_categories-token-classification #task_ids-coreference-resolution #task_ids-fact-checking #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #size_categories-1K<n<10K #size_categories-n<1K #source_... | [
132,
104,
18,
12,
6,
21,
27,
28,
5,
51,
136,
140,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
6,
24
] | [
"passage: TAGS\n#task_categories-text-classification #task_categories-token-classification #task_ids-coreference-resolution #task_ids-fact-checking #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #size_categories-1K<n<10K #size_categories-n<1K... | [
-0.008667359128594398,
0.12485706061124802,
-0.007738348096609116,
0.030146650969982147,
0.07019925862550735,
0.05987807363271713,
0.08144393563270569,
0.11720912158489227,
0.08749566972255707,
0.1661887913942337,
0.033322181552648544,
0.024431664496660233,
0.026691745966672897,
0.06051195... |
c2d5f738db1ad21a4126a144dfbb00cb51e0a4a9 |
# Dataset Card for adversarialQA
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instanc... | UCLNLP/adversarial_qa | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"task_ids:open-domain-qa",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-sa-4.0",
"arxiv:2002.0... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa", "open-domain-qa"], ... | 2023-12-21T14:20:00+00:00 | [
"2002.00293",
"1606.05250"
] | [
"en"
] | TAGS
#task_categories-question-answering #task_ids-extractive-qa #task_ids-open-domain-qa #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-sa-4.0 #arxiv-2002.00293 #arxiv-1606.05250 #region-us ... |
# Dataset Card for adversarialQA
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive... | [
"# Dataset Card for adversarialQA",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - P... | [
"TAGS\n#task_categories-question-answering #task_ids-extractive-qa #task_ids-open-domain-qa #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-sa-4.0 #arxiv-2002.00293 #arxiv-1606.05250 #regi... | [
121,
8,
120,
64,
191,
134,
25,
6,
24,
141,
84,
5,
36,
4,
31,
37,
5,
107,
73,
18,
8,
154,
52,
10,
5,
50,
19,
17
] | [
"passage: TAGS\n#task_categories-question-answering #task_ids-extractive-qa #task_ids-open-domain-qa #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-sa-4.0 #arxiv-2002.00293 #arxiv-1606.05... | [
-0.05630020797252655,
0.19685325026512146,
-0.006371346302330494,
0.03517504036426544,
0.04052634537220001,
0.009618441574275494,
0.06055770814418793,
0.08151401579380035,
0.03243812173604965,
0.11856482177972794,
-0.010841995477676392,
-0.008391423150897026,
0.10073594748973846,
0.1028851... |
2305f2e63b68056f9b9037a3805c8c196e0d5581 |
# Dataset Card for "aeslc"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | aeslc | [
"task_categories:summarization",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:unknown",
"aspect-based-summarization",
"conversations-summarization",
"multi-document... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": [], "paperswithcode_id": "aeslc", "pretty_name"... | 2024-01-09T11:49:13+00:00 | [
"1906.03497"
] | [
"en"
] | TAGS
#task_categories-summarization #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-unknown #aspect-based-summarization #conversations-summarization #multi-document-summarization #email-headline-gen... | Dataset Card for "aeslc"
========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
... | [
"### Dataset Summary\n\n\nA collection of email messages of employees in the Enron Corporation.\n\n\nThere are two features:\n\n\n* email\\_body: email body text.\n* subject\\_line: email subject text.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nMonolingual English (mainly en-US) with some exc... | [
"TAGS\n#task_categories-summarization #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-unknown #aspect-based-summarization #conversations-summarization #multi-document-summarization #email-headli... | [
116,
44,
10,
27,
6,
49,
17,
32,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
6,
28
] | [
"passage: TAGS\n#task_categories-summarization #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-unknown #aspect-based-summarization #conversations-summarization #multi-document-summarization #ema... | [
-0.029901545494794846,
0.23830586671829224,
-0.005871639586985111,
0.04570554569363594,
0.07980197668075562,
0.02176634408533573,
0.08672069013118744,
0.1049494668841362,
-0.04988327994942665,
0.17163383960723877,
0.04765167459845543,
0.01201436948031187,
0.10775231570005417,
0.17226573824... |
445834a997dce8b40e1d108638064381de80c497 | "\n# Dataset Card for Afrikaans Ner Corpus\n\n## Table of Contents\n- [Dataset Description](#dataset(...TRUNCATED) | afrikaans_ner_corpus | ["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:ex(...TRUNCATED) | 2022-03-02T23:29:22+00:00 | "{\"annotations_creators\": [\"expert-generated\"], \"language_creators\": [\"expert-generated\"], \(...TRUNCATED) | 2024-01-09T11:51:47+00:00 | [] | [
"af"
] | "TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creator(...TRUNCATED) | "\n# Dataset Card for Afrikaans Ner Corpus\n\n## Table of Contents\n- Dataset Description\n - Datas(...TRUNCATED) | ["# Dataset Card for Afrikaans Ner Corpus","## Table of Contents\n- Dataset Description\n - Dataset(...TRUNCATED) | ["TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creato(...TRUNCATED) | [
95,
8,
120,
32,
83,
10,
11,
6,
89,
141,
11,
5,
21,
4,
27,
25,
5,
5,
25,
8,
8,
7,
8,
7,
5,
38,
18,
18
] | ["passage: TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotatio(...TRUNCATED) | [-0.005825735162943602,0.08974096179008484,-0.0041341837495565414,0.0642194151878357,0.0429573766887(...TRUNCATED) |
68a83b6cd4730be5e0ecbdbee941eef8f13aa867 | "\n# Dataset Card for \"ag_news\"\n\n## Table of Contents\n- [Dataset Description](#dataset-descript(...TRUNCATED) | ag_news | ["task_categories:text-classification","task_ids:topic-classification","annotations_creators:found",(...TRUNCATED) | 2022-03-02T23:29:22+00:00 | "{\"annotations_creators\": [\"found\"], \"language_creators\": [\"found\"], \"language\": [\"en\"],(...TRUNCATED) | 2024-01-18T10:52:09+00:00 | [] | [
"en"
] | "TAGS\n#task_categories-text-classification #task_ids-topic-classification #annotations_creators-fou(...TRUNCATED) | "Dataset Card for \"ag\\_news\"\n===========================\n\n\nTable of Contents\n---------------(...TRUNCATED) | ["### Dataset Summary\n\n\nAG is a collection of more than 1 million news articles. News articles ha(...TRUNCATED) | ["TAGS\n#task_categories-text-classification #task_ids-topic-classification #annotations_creators-fo(...TRUNCATED) | [
84,
226,
10,
11,
6,
50,
17,
52,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
6,
33
] | ["passage: TAGS\n#task_categories-text-classification #task_ids-topic-classification #annotations_cr(...TRUNCATED) | [-0.034058939665555954,0.1685732901096344,-0.005139347165822983,0.033307552337646484,0.0717983320355(...TRUNCATED) |
210d026faf9955653af8916fad021475a3f00453 | "\n# Dataset Card for \"ai2_arc\"\n\n## Table of Contents\n- [Dataset Description](#dataset-descript(...TRUNCATED) | allenai/ai2_arc | ["task_categories:question-answering","task_ids:open-domain-qa","task_ids:multiple-choice-qa","annot(...TRUNCATED) | 2022-03-02T23:29:22+00:00 | "{\"annotations_creators\": [\"found\"], \"language_creators\": [\"found\"], \"language\": [\"en\"],(...TRUNCATED) | 2023-12-21T15:09:48+00:00 | [
"1803.05457"
] | [
"en"
] | "TAGS\n#task_categories-question-answering #task_ids-open-domain-qa #task_ids-multiple-choice-qa #an(...TRUNCATED) | "Dataset Card for \"ai2\\_arc\"\n===========================\n\n\nTable of Contents\n---------------(...TRUNCATED) | ["### Dataset Summary\n\n\nA new dataset of 7,787 genuine grade-school level, multiple-choice scienc(...TRUNCATED) | ["TAGS\n#task_categories-question-answering #task_ids-open-domain-qa #task_ids-multiple-choice-qa #a(...TRUNCATED) | [
113,
130,
10,
11,
6,
58,
58,
17,
81,
81,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
6,
28
] | ["passage: TAGS\n#task_categories-question-answering #task_ids-open-domain-qa #task_ids-multiple-cho(...TRUNCATED) | [-0.0437714047729969,0.08017850667238235,-0.004367523826658726,0.03722572326660156,0.067490980029106(...TRUNCATED) |
69a8c7b33b9ae3281d93bdc34e85735b2ad4e662 | "\n# Dataset Card for air_dialogue\n\n## Table of Contents\n- [Dataset Description](#dataset-descrip(...TRUNCATED) | air_dialogue | ["task_categories:conversational","task_categories:text-generation","task_categories:fill-mask","tas(...TRUNCATED) | 2022-03-02T23:29:22+00:00 | "{\"annotations_creators\": [\"crowdsourced\"], \"language_creators\": [\"machine-generated\"], \"la(...TRUNCATED) | 2024-01-18T10:59:29+00:00 | [] | [
"en"
] | "TAGS\n#task_categories-conversational #task_categories-text-generation #task_categories-fill-mask #(...TRUNCATED) | "Dataset Card for air\\_dialogue\n==============================\n\n\nTable of Contents\n-----------(...TRUNCATED) | ["### Dataset Summary\n\n\nAirDialogue, is a large dataset that contains 402,038 goal-oriented conve(...TRUNCATED) | ["TAGS\n#task_categories-conversational #task_categories-text-generation #task_categories-fill-mask (...TRUNCATED) | [
152,
83,
85,
30,
90,
71,
30,
7,
4,
10,
10,
5,
120,
9,
26,
7,
8,
14,
26,
449,
18
] | ["passage: TAGS\n#task_categories-conversational #task_categories-text-generation #task_categories-f(...TRUNCATED) | [-0.030246928334236145,0.1698847860097885,-0.0039741569198668,0.07170038670301437,0.0370448417961597(...TRUNCATED) |
af3f2fa5462ac461b696cb300d66e07ad366057f | "\n# Dataset Card for Arabic Jordanian General Tweets\n\n## Table of Contents\n- [Dataset Card for A(...TRUNCATED) | ajgt_twitter_ar | ["task_categories:text-classification","task_ids:sentiment-classification","annotations_creators:fou(...TRUNCATED) | 2022-03-02T23:29:22+00:00 | "{\"annotations_creators\": [\"found\"], \"language_creators\": [\"found\"], \"language\": [\"ar\"],(...TRUNCATED) | 2024-01-09T11:58:01+00:00 | [] | [
"ar"
] | "TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators(...TRUNCATED) | "Dataset Card for Arabic Jordanian General Tweets\n================================================\(...TRUNCATED) | ["### Dataset Summary\n\n\nArabic Jordanian General Tweets (AJGT) Corpus consisted of 1,800 tweets a(...TRUNCATED) | ["TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #annotations_creator(...TRUNCATED) | [
86,
45,
19,
19,
19,
25,
18,
7,
4,
22,
14,
17,
5,
9,
18,
7,
8,
14,
6,
6,
25
] | ["passage: TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #annotation(...TRUNCATED) | [-0.0020078481175005436,0.1882128268480301,-0.005164021160453558,0.05199567228555679,0.0484087690711(...TRUNCATED) |
71593d1379934286885c53d147bc863ffe830745 | "\n# Dataset Card for [Dataset Name]\n\n## Table of Contents\n- [Dataset Description](#dataset-descr(...TRUNCATED) | allegro_reviews | ["task_categories:text-classification","task_ids:sentiment-scoring","task_ids:text-scoring","annotat(...TRUNCATED) | 2022-03-02T23:29:22+00:00 | "{\"annotations_creators\": [\"found\"], \"language_creators\": [\"found\"], \"language\": [\"pl\"],(...TRUNCATED) | 2024-01-09T11:59:39+00:00 | [] | [
"pl"
] | "TAGS\n#task_categories-text-classification #task_ids-sentiment-scoring #task_ids-text-scoring #anno(...TRUNCATED) | "\n# Dataset Card for [Dataset Name]\n\n## Table of Contents\n- Dataset Description\n - Dataset Sum(...TRUNCATED) | ["# Dataset Card for [Dataset Name]","## Table of Contents\n- Dataset Description\n - Dataset Summa(...TRUNCATED) | ["TAGS\n#task_categories-text-classification #task_ids-sentiment-scoring #task_ids-text-scoring #ann(...TRUNCATED) | [
100,
10,
120,
75,
110,
16,
6,
6,
37,
38,
17,
5,
26,
4,
31,
19,
5,
5,
9,
8,
8,
7,
8,
7,
5,
19,
150,
17
] | ["passage: TAGS\n#task_categories-text-classification #task_ids-sentiment-scoring #task_ids-text-sco(...TRUNCATED) | [-0.03407987579703331,0.18136045336723328,-0.006624291185289621,0.05663428455591202,0.05668739974498(...TRUNCATED) |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 10