sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b0249f7c746418e9473946dbbb9179539c447bf4 | This dataset containe a variety of structural truss designs from a human subjects research experiment. | cmudrc/truss-design-study | [
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-11-26T22:45:34+00:00 | {"language": "en", "license": "cc-by-4.0", "doi": "10.1016/j.dib.2018.02.078"} | 2022-12-03T18:28:52+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-4.0 #region-us
| This dataset containe a variety of structural truss designs from a human subjects research experiment. | [] | [
"TAGS\n#language-English #license-cc-by-4.0 #region-us \n"
] | [
19
] | [
"passage: TAGS\n#language-English #license-cc-by-4.0 #region-us \n"
] |
14b13edfbc4046892f6011d114c29c0f83170589 |
# Dataset Card for cardiffnlp/tweet_sentiment_multilingual
## Dataset Description
- **Homepage:** [https://github.com/cardiffnlp/xlm-t](https://github.com/cardiffnlp/xlm-t)
- **Repository:** - **Homepage:** [https://github.com/cardiffnlp/xlm-t](https://github.com/cardiffnlp/xlm-t)
- **Paper:** [https://aclanthology.... | cardiffnlp/tweet_sentiment_multilingual | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:extended|other-tweet-datasets",
"language:en",
"language:ar",
"language:fr",
"language:de",
"language:hi",
"language:it",
"language:pt",
... | 2022-11-26T23:34:42+00:00 | {"language": ["en", "ar", "fr", "de", "hi", "it", "pt", "es"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|other-tweet-datasets"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "paperswithcode_id": "tweet_sentiment_multili... | 2022-11-30T14:01:25+00:00 | [] | [
"en",
"ar",
"fr",
"de",
"hi",
"it",
"pt",
"es"
] | TAGS
#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-extended|other-tweet-datasets #language-English #language-Arabic #language-French #language-German #language-Hindi #language-Italian #language-Portuguese #language-Span... | Dataset Card for cardiffnlp/tweet\_sentiment\_multilingual
==========================================================
Dataset Description
-------------------
* Homepage: URL
* Repository: - Homepage: URL
* Paper: URL
* Point of Contact: Asahi Ushio
### Dataset Summary
Tweet Sentiment Multilingual consists of se... | [
"### Dataset Summary\n\n\nTweet Sentiment Multilingual consists of sentiment analysis dataset on Twitter in 8 different lagnuages.\n\n\n* arabic\n* english\n* french\n* german\n* hindi\n* italian\n* portuguese\n* spanish",
"### Supported Tasks and Leaderboards\n\n\n* 'text\\_classification': The dataset can be tr... | [
"TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-extended|other-tweet-datasets #language-English #language-Arabic #language-French #language-German #language-Hindi #language-Italian #language-Portuguese #languag... | [
105,
49,
48,
16,
61,
26,
36,
35
] | [
"passage: TAGS\n#task_categories-text-classification #task_ids-sentiment-classification #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-extended|other-tweet-datasets #language-English #language-Arabic #language-French #language-German #language-Hindi #language-Italian #language-Portuguese... |
e5c0943959d12142df0692bef711d02f2f5544bc |
## Licensing Information
In exchange for permission to use the AToMiC database (the "Database") at TREC-AToMiC, Researcher hereby agrees to the following terms and conditions:
1. Researcher shall use the Database only for non-commercial research and educational purposes.
2. TREC-AToMiC makes no representations or war... | TREC-AToMiC/AToMiC-Images-v0.1 | [
"license:other",
"region:us"
] | 2022-11-26T23:55:24+00:00 | {"license": "other", "dataset_info": {"features": [{"name": "image_id", "dtype": "string"}, {"name": "image_url", "dtype": "string"}, {"name": "caption_reference_description", "sequence": "string"}, {"name": "caption_attribution_description", "sequence": "string"}, {"name": "caption_alt_text_description", "sequence": "... | 2022-11-27T00:39:40+00:00 | [] | [] | TAGS
#license-other #region-us
|
## Licensing Information
In exchange for permission to use the AToMiC database (the "Database") at TREC-AToMiC, Researcher hereby agrees to the following terms and conditions:
1. Researcher shall use the Database only for non-commercial research and educational purposes.
2. TREC-AToMiC makes no representations or war... | [
"## Licensing Information\nIn exchange for permission to use the AToMiC database (the \"Database\") at TREC-AToMiC, Researcher hereby agrees to the following terms and conditions:\n\n1. Researcher shall use the Database only for non-commercial research and educational purposes.\n2. TREC-AToMiC makes no representati... | [
"TAGS\n#license-other #region-us \n",
"## Licensing Information\nIn exchange for permission to use the AToMiC database (the \"Database\") at TREC-AToMiC, Researcher hereby agrees to the following terms and conditions:\n\n1. Researcher shall use the Database only for non-commercial research and educational purpose... | [
11,
308
] | [
"passage: TAGS\n#license-other #region-us \n## Licensing Information\nIn exchange for permission to use the AToMiC database (the \"Database\") at TREC-AToMiC, Researcher hereby agrees to the following terms and conditions:\n\n1. Researcher shall use the Database only for non-commercial research and educational purp... |
f716f7863493a3ba551cccf396674aae40c6deb2 |
## Licensing Information
In exchange for permission to use the AToMiC database (the "Database") at TREC-AToMiC, Researcher hereby agrees to the following terms and conditions:
1. Researcher shall use the Database only for non-commercial research and educational purposes.
2. TREC-AToMiC makes no representations or war... | TREC-AToMiC/AToMiC-Texts-v0.1 | [
"license:other",
"region:us"
] | 2022-11-27T00:40:59+00:00 | {"license": "other", "dataset_info": {"features": [{"name": "language", "dtype": "string"}, {"name": "text_id", "dtype": "string"}, {"name": "page_url", "dtype": "string"}, {"name": "page_title", "dtype": "string"}, {"name": "section_title", "dtype": "string"}, {"name": "hierarchical_section_title", "dtype": "string"},... | 2022-11-27T00:53:20+00:00 | [] | [] | TAGS
#license-other #region-us
|
## Licensing Information
In exchange for permission to use the AToMiC database (the "Database") at TREC-AToMiC, Researcher hereby agrees to the following terms and conditions:
1. Researcher shall use the Database only for non-commercial research and educational purposes.
2. TREC-AToMiC makes no representations or war... | [
"## Licensing Information\nIn exchange for permission to use the AToMiC database (the \"Database\") at TREC-AToMiC, Researcher hereby agrees to the following terms and conditions:\n\n1. Researcher shall use the Database only for non-commercial research and educational purposes.\n2. TREC-AToMiC makes no representati... | [
"TAGS\n#license-other #region-us \n",
"## Licensing Information\nIn exchange for permission to use the AToMiC database (the \"Database\") at TREC-AToMiC, Researcher hereby agrees to the following terms and conditions:\n\n1. Researcher shall use the Database only for non-commercial research and educational purpose... | [
11,
308
] | [
"passage: TAGS\n#license-other #region-us \n## Licensing Information\nIn exchange for permission to use the AToMiC database (the \"Database\") at TREC-AToMiC, Researcher hereby agrees to the following terms and conditions:\n\n1. Researcher shall use the Database only for non-commercial research and educational purp... |
c974940ee95353426722501e76a17e70e3a8ee45 |
# Dataset Card for malromur_asr
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fie... | language-and-voice-lab/malromur_asr | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:is",
"license:cc-by-4.0",
"crowd-sourced icelandic",
"málrómur",
"icelandic spe... | 2022-11-27T02:34:38+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["is"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition"], "task_ids": [], "pretty_name": "M\u0... | 2023-02-24T22:13:56+00:00 | [] | [
"is"
] | TAGS
#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Icelandic #license-cc-by-4.0 #crowd-sourced icelandic #málrómur #icelandic speech #malromur #iceland #region-u... |
# Dataset Card for malromur_asr
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- About the project
- About the Malromur corpus
- The Almannaromur project
- The data opened
- Additional Infor... | [
"# Dataset Card for malromur_asr",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- About the project\n - About the Malromur corpus\n - The Almannaromur project\n - The data opened... | [
"TAGS\n#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Icelandic #license-cc-by-4.0 #crowd-sourced icelandic #málrómur #icelandic speech #malromur #iceland #re... | [
116,
11,
87,
46,
54,
56,
71,
11,
6,
6,
195,
66,
4,
134,
940,
535,
4,
95,
11,
50
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Icelandic #license-cc-by-4.0 #crowd-sourced icelandic #málrómur #icelandic speech #malromur #ic... |
241094512d4e1728a729c8dd495b9b99880d3685 | # Dataset Card for "VALUE_sst2_been_done"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_sst2_been_done | [
"region:us"
] | 2022-11-27T03:02:26+00:00 | {"dataset_info": {"features": [{"name": "idx", "dtype": "int64"}, {"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 4919, "num_examples": 34}, {"name": "test", "num_bytes": 14703, "num_examples": 89}, {"name": "tra... | 2022-11-27T04:37:38+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_sst2_been_done"
More Information needed | [
"# Dataset Card for \"VALUE_sst2_been_done\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_sst2_been_done\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_sst2_been_done\"\n\nMore Information needed"
] |
608b139ad227ffc2100c08fa48188f86a614e5d3 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/tglobal-XL-booksum-WIP3r3-sharded
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
... | autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-e19ec2-2251271757 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-27T03:23:46+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/tglobal-XL-booksum-WIP3r3-sharded", "metrics": ["bertscore"], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col_mappin... | 2022-11-27T10:19:22+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/tglobal-XL-booksum-WIP3r3-sharded
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluation jobs, visit Hu... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/tglobal-XL-booksum-WIP3r3-sharded\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo run new evaluation... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/tglobal-XL-booksum-WIP3r3-sharded\n* Dataset: kmfoda/booksum\n* Config: kmfoda-... | [
13,
105,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/tglobal-XL-booksum-WIP3r3-sharded\n* Dataset: kmfoda/booksum\n* Config: kmfo... |
50bd4c6912b21dc433db5628a348b9336457820e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-booksum-WIP
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
... | autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-e19ec2-2251271758 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-27T03:23:52+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-booksum-WIP", "metrics": ["bertscore"], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col_mappin... | 2022-11-27T04:19:09+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-booksum-WIP
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluation jobs, visit Hu... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-booksum-WIP\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo run new evaluation... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-booksum-WIP\n* Dataset: kmfoda/booksum\n* Config: kmfoda-... | [
13,
104,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-booksum-WIP\n* Dataset: kmfoda/booksum\n* Config: kmfo... |
e7c0480c3010075492d88b0920a77fff19041c35 | # Dataset Card for "VALUE_sst2_dey_it"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_sst2_dey_it | [
"region:us"
] | 2022-11-27T03:27:57+00:00 | {"dataset_info": {"features": [{"name": "idx", "dtype": "int64"}, {"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 5100, "num_examples": 34}, {"name": "test", "num_bytes": 7692, "num_examples": 53}, {"name": "trai... | 2022-11-27T05:02:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_sst2_dey_it"
More Information needed | [
"# Dataset Card for \"VALUE_sst2_dey_it\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_sst2_dey_it\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_sst2_dey_it\"\n\nMore Information needed"
] |
c468de994d36fe936628d76406239a0429de0d7d | # Dataset Card for "VALUE_sst2_drop_aux"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_sst2_drop_aux | [
"region:us"
] | 2022-11-27T03:53:59+00:00 | {"dataset_info": {"features": [{"name": "idx", "dtype": "int64"}, {"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 23424, "num_examples": 165}, {"name": "test", "num_bytes": 49922, "num_examples": 362}, {"name": "... | 2022-11-27T05:28:10+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_sst2_drop_aux"
More Information needed | [
"# Dataset Card for \"VALUE_sst2_drop_aux\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_sst2_drop_aux\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_sst2_drop_aux\"\n\nMore Information needed"
] |
d5024327211964a46882b3a5b9793fbe50b24c8f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-xl-16384-book-summary
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: te... | autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-ad907b-2251571764 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-27T04:25:46+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-xl-16384-book-summary", "metrics": ["bertscore"], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col_ma... | 2022-11-27T11:16:55+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-xl-16384-book-summary
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluation jobs, visi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-xl-16384-book-summary\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo run new evalua... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-xl-16384-book-summary\n* Dataset: kmfoda/booksum\n* Config: kmf... | [
13,
104,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-xl-16384-book-summary\n* Dataset: kmfoda/booksum\n* Config: ... |
d31d3870395d1d3903b28c367e9814be91c730e1 | # Dataset Card for "VALUE_sst2_got"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_sst2_got | [
"region:us"
] | 2022-11-27T05:52:56+00:00 | {"dataset_info": {"features": [{"name": "idx", "dtype": "int64"}, {"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 4558, "num_examples": 30}, {"name": "test", "num_bytes": 8206, "num_examples": 56}, {"name": "trai... | 2022-11-27T05:53:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_sst2_got"
More Information needed | [
"# Dataset Card for \"VALUE_sst2_got\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_sst2_got\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_sst2_got\"\n\nMore Information needed"
] |
464eced66f18183923ad5f44011eb161f8a094f7 | # Dataset Card for "VALUE_sst2_negative_concord"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_sst2_negative_concord | [
"region:us"
] | 2022-11-27T06:18:28+00:00 | {"dataset_info": {"features": [{"name": "idx", "dtype": "int64"}, {"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 6956, "num_examples": 48}, {"name": "test", "num_bytes": 12384, "num_examples": 84}, {"name": "tra... | 2022-11-27T06:18:35+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_sst2_negative_concord"
More Information needed | [
"# Dataset Card for \"VALUE_sst2_negative_concord\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_sst2_negative_concord\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_sst2_negative_concord\"\n\nMore Information needed"
] |
08d522168ef2e7fcaf2d05ddcd10a3b2d8815f53 | # Dataset Card for "VALUE_sst2_null_genetive"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_sst2_null_genetive | [
"region:us"
] | 2022-11-27T07:08:30+00:00 | {"dataset_info": {"features": [{"name": "idx", "dtype": "int64"}, {"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 18790, "num_examples": 120}, {"name": "test", "num_bytes": 41683, "num_examples": 265}, {"name": "... | 2022-11-27T07:08:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_sst2_null_genetive"
More Information needed | [
"# Dataset Card for \"VALUE_sst2_null_genetive\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_sst2_null_genetive\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_sst2_null_genetive\"\n\nMore Information needed"
] |
a6eee669317e7072edf443232b22997fcec8c069 |
yande.re sampled images 2019-2022
Estimated 500k, including metadata(`.json`) and tags(`.txt`) | nyanko7/yandere-images | [
"license:openrail",
"doi:10.57967/hf/0139",
"region:us"
] | 2022-11-27T07:32:48+00:00 | {"license": "openrail"} | 2022-12-02T09:34:14+00:00 | [] | [] | TAGS
#license-openrail #doi-10.57967/hf/0139 #region-us
|
URL sampled images 2019-2022
Estimated 500k, including metadata('.json') and tags('.txt') | [] | [
"TAGS\n#license-openrail #doi-10.57967/hf/0139 #region-us \n"
] | [
24
] | [
"passage: TAGS\n#license-openrail #doi-10.57967/hf/0139 #region-us \n"
] |
84151b4866e58f1a56561daa1ceb233e020685b6 | # Dataset Card for "VALUE_sst2_null_relcl"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_sst2_null_relcl | [
"region:us"
] | 2022-11-27T07:33:19+00:00 | {"dataset_info": {"features": [{"name": "idx", "dtype": "int64"}, {"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 23513, "num_examples": 148}, {"name": "test", "num_bytes": 45010, "num_examples": 289}, {"name": "... | 2022-11-27T07:33:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_sst2_null_relcl"
More Information needed | [
"# Dataset Card for \"VALUE_sst2_null_relcl\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_sst2_null_relcl\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_sst2_null_relcl\"\n\nMore Information needed"
] |
a97b3ebe274c86a183fb88160266caa29850db04 |
# 🇺🇦 Open Source Ukrainian Text-to-Speech dataset named LADA
Join Ukrainian community - https://t.me/speech_synthesis_uk
More details about this dataset - https://github.com/egorsmkv/ukrainian-tts-datasets/tree/main/lada
# Voice LADA (female)
License: [Apache 2.0](https://github.com/egorsmkv/ukrainian-tts-datase... | Yehor/ukrainian-tts-lada | [
"task_categories:text-to-speech",
"language:uk",
"license:apache-2.0",
"region:us"
] | 2022-11-27T07:59:04+00:00 | {"language": ["uk"], "license": "apache-2.0", "task_categories": ["text-to-speech"]} | 2023-12-16T16:25:26+00:00 | [] | [
"uk"
] | TAGS
#task_categories-text-to-speech #language-Ukrainian #license-apache-2.0 #region-us
|
# 🇺🇦 Open Source Ukrainian Text-to-Speech dataset named LADA
Join Ukrainian community - https://t.me/speech_synthesis_uk
More details about this dataset - URL
# Voice LADA (female)
License: Apache 2.0
Samples are manually checked. Good samples are in the 'accept' folder (10h37m), others are in 'reject' (1h2m).
... | [
"# 🇺🇦 Open Source Ukrainian Text-to-Speech dataset named LADA\n\nJoin Ukrainian community - https://t.me/speech_synthesis_uk\n\nMore details about this dataset - URL",
"# Voice LADA (female)\n\nLicense: Apache 2.0\n\nSamples are manually checked. Good samples are in the 'accept' folder (10h37m), others are in '... | [
"TAGS\n#task_categories-text-to-speech #language-Ukrainian #license-apache-2.0 #region-us \n",
"# 🇺🇦 Open Source Ukrainian Text-to-Speech dataset named LADA\n\nJoin Ukrainian community - https://t.me/speech_synthesis_uk\n\nMore details about this dataset - URL",
"# Voice LADA (female)\n\nLicense: Apache 2.0\n... | [
34,
48,
64,
50,
3,
15,
27,
16,
27
] | [
"passage: TAGS\n#task_categories-text-to-speech #language-Ukrainian #license-apache-2.0 #region-us \n# 🇺🇦 Open Source Ukrainian Text-to-Speech dataset named LADA\n\nJoin Ukrainian community - https://t.me/speech_synthesis_uk\n\nMore details about this dataset - URL# Voice LADA (female)\n\nLicense: Apache 2.0\n\nS... |
89031a8eaf4d87f9f15314544cc32eff7776bbc2 | # Dataset Card for "VALUE_sst2_uninflect"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_sst2_uninflect | [
"region:us"
] | 2022-11-27T07:59:12+00:00 | {"dataset_info": {"features": [{"name": "idx", "dtype": "int64"}, {"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 55795, "num_examples": 376}, {"name": "test", "num_bytes": 107817, "num_examples": 729}, {"name": ... | 2022-11-27T07:59:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_sst2_uninflect"
More Information needed | [
"# Dataset Card for \"VALUE_sst2_uninflect\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_sst2_uninflect\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_sst2_uninflect\"\n\nMore Information needed"
] |
a7501b2efb4805fff583a324d508dcd82130a7d5 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: philschmid/BERT-Banking77
* Dataset: banking77
* Config: default
* Split: test
To run new e... | autoevaluate/autoeval-eval-banking77-default-880a34-2252471790 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-27T08:26:29+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["banking77"], "eval_info": {"task": "multi_class_classification", "model": "philschmid/BERT-Banking77", "metrics": ["bleu", "exact_match"], "dataset_name": "banking77", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text":... | 2022-11-27T08:27:08+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: philschmid/BERT-Banking77
* Dataset: banking77
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: philschmid/BERT-Banking77\n* Dataset: banking77\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: philschmid/BERT-Banking77\n* Dataset: banking77\n* Config: default\n* ... | [
13,
90,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: philschmid/BERT-Banking77\n* Dataset: banking77\n* Config: default\... |
0326666bee1fab36bf99a2bfdee265179504da73 |
# Dataset Card for samromur_asr
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fie... | language-and-voice-lab/samromur_asr | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:is",
"license:cc-by-4.0",
"crowd-sourced icelandic",
"samrómur",
"icelandic spe... | 2022-11-27T08:33:04+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["is"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition"], "task_ids": [], "pretty_name": "Samr... | 2023-02-24T22:02:05+00:00 | [] | [
"is"
] | TAGS
#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Icelandic #license-cc-by-4.0 #crowd-sourced icelandic #samrómur #icelandic speech #samromur #iceland #region-u... |
# Dataset Card for samromur_asr
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- Co... | [
"# Dataset Card for samromur_asr",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensit... | [
"TAGS\n#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Icelandic #license-cc-by-4.0 #crowd-sourced icelandic #samrómur #icelandic speech #samromur #iceland #re... | [
116,
11,
116,
51,
69,
56,
71,
72,
6,
6,
195,
118,
5,
107,
4,
75,
5,
85,
34,
39,
8,
101,
88,
95,
5,
45,
11,
91
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Icelandic #license-cc-by-4.0 #crowd-sourced icelandic #samrómur #icelandic speech #samromur #ic... |
090483d02011628ace2251df7e5ef66080e86491 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-xl-16384-book-summary
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run ... | autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-741567-2252771791 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-27T08:38:49+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-xl-16384-book-summary", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"text": "artic... | 2022-11-28T02:34:05+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-xl-16384-book-summary
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging F... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-xl-16384-book-summary\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\nTo run new evaluation jobs, ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-xl-16384-book-summary\n* Dataset: cnn_dailymail\n* Config: 3.0.... | [
13,
98,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-xl-16384-book-summary\n* Dataset: cnn_dailymail\n* Config: 3... |
39b97bd162728d62363ed12796b3c5f673faf5d3 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-xl-16384-book-summary
* Dataset: multi_news
* Config: default
* Split: test
To run n... | autoevaluate/autoeval-eval-multi_news-default-e22c67-2252871792 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-27T08:38:53+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["multi_news"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-xl-16384-book-summary", "metrics": [], "dataset_name": "multi_news", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "document"... | 2022-11-28T02:47:47+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-xl-16384-book-summary
* Dataset: multi_news
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Fa... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-xl-16384-book-summary\n* Dataset: multi_news\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, v... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-xl-16384-book-summary\n* Dataset: multi_news\n* Config: default... | [
13,
95,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-xl-16384-book-summary\n* Dataset: multi_news\n* Config: defa... |
e14ac3069eab309856e99eb7fc2513ce8ba21747 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-base-book-summary
* Dataset: multi_news
* Config: default
* Split: test
To run new evaluation jo... | autoevaluate/autoeval-eval-multi_news-default-e22c67-2252871793 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-27T08:38:58+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["multi_news"], "eval_info": {"task": "summarization", "model": "pszemraj/led-base-book-summary", "metrics": [], "dataset_name": "multi_news", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "document", "target": "sum... | 2022-11-27T19:48:35+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-base-book-summary
* Dataset: multi_news
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic m... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/led-base-book-summary\n* Dataset: multi_news\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Fac... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/led-base-book-summary\n* Dataset: multi_news\n* Config: default\n* Split: test\... | [
13,
88,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/led-base-book-summary\n* Dataset: multi_news\n* Config: default\n* Split: te... |
2142662d90f2dd1c1554ce5a6dde4c34b890907a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-large-book-summary
* Dataset: multi_news
* Config: default
* Split: test
To run new evaluation j... | autoevaluate/autoeval-eval-multi_news-default-e22c67-2252871794 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-27T08:39:05+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["multi_news"], "eval_info": {"task": "summarization", "model": "pszemraj/led-large-book-summary", "metrics": [], "dataset_name": "multi_news", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "document", "target": "su... | 2022-11-28T10:27:16+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-large-book-summary
* Dataset: multi_news
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic ... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/led-large-book-summary\n* Dataset: multi_news\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Fa... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/led-large-book-summary\n* Dataset: multi_news\n* Config: default\n* Split: test... | [
13,
89,
16
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/led-large-book-summary\n* Dataset: multi_news\n* Config: default\n* Split: t... |
9bb443661b49355982c170dfaab53e3c270197eb | # Dataset Card for "ret_sentence_eval"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | shreyasharma/ret_sentence_eval | [
"region:us"
] | 2022-11-27T08:39:09+00:00 | {"dataset_info": {"features": [{"name": "sentences", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "docs", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 1973426, "num_examples": 6104}, {"name": "train", "num_bytes": 3753896, "num_examples": 11528}, {"name": "val", "num_bytes": 528670... | 2022-11-27T08:50:43+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "ret_sentence_eval"
More Information needed | [
"# Dataset Card for \"ret_sentence_eval\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"ret_sentence_eval\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"ret_sentence_eval\"\n\nMore Information needed"
] |
936a75c10ba97bc7fc66c9f2e753beae753454b8 |
# Dataset Card for [Dataset Name]
## 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-st... | DTU54DL/commonvoice_accent_test | [
"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",
"region:us"
] | 2022-11-27T09:02:22+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": ["token-classification-other-acronym-ide... | 2022-11-27T12:41:47+00:00 | [] | [
"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 #region-us
|
# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- P... | [
"# Dataset Card for [Dataset Name]",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n... | [
"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 #region-us \n",
"# Dataset Card for [Dataset Name]",
"## Table of Contents\n- Table of Co... | [
76,
10,
125,
24,
6,
10,
4,
6,
6,
5,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6,
19
] | [
"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 #region-us \n# Dataset Card for [Dataset Name]## Table of Contents\n- Table of Conte... |
a5a6d6659b99039e63fef66ff1f99f07c5a1812e |
# FExGAN-Meta: Facial Expression Generation with Meta-Humans
This is a facial expression image dataset proposed in the following article:
[FExGAN-Meta: Facial Expression Generation with Meta-Humans](https://arxiv.org/abs/2203.05975)
## Fill the Below Form to get the password... | azad-wolf-se/MH-FED | [
"language:en",
"Computer Vision",
"Machine Learning",
"Deep Learning",
"arxiv:2203.05975",
"region:us"
] | 2022-11-27T10:01:43+00:00 | {"language": "en", "tags": ["Computer Vision", "Machine Learning", "Deep Learning"]} | 2023-07-05T07:12:47+00:00 | [
"2203.05975"
] | [
"en"
] | TAGS
#language-English #Computer Vision #Machine Learning #Deep Learning #arxiv-2203.05975 #region-us
|
# FExGAN-Meta: Facial Expression Generation with Meta-Humans
!FExGAN-Meta Cover_Image
This is a facial expression image dataset proposed in the following article:
FExGAN-Meta: Facial Expression Generation with Meta-Humans
## Fill the Below Form to get the password
Dataset Request Form
If you use any part of t... | [
"# FExGAN-Meta: Facial Expression Generation with Meta-Humans\n\n!FExGAN-Meta Cover_Image\n\nThis is a facial expression image dataset proposed in the following article:\n\n\nFExGAN-Meta: Facial Expression Generation with Meta-Humans",
"## Fill the Below Form to get the password\n\nDataset Request Form\n\n\nIf yo... | [
"TAGS\n#language-English #Computer Vision #Machine Learning #Deep Learning #arxiv-2203.05975 #region-us \n",
"# FExGAN-Meta: Facial Expression Generation with Meta-Humans\n\n!FExGAN-Meta Cover_Image\n\nThis is a facial expression image dataset proposed in the following article:\n\n\nFExGAN-Meta: Facial Expression... | [
31,
58,
34
] | [
"passage: TAGS\n#language-English #Computer Vision #Machine Learning #Deep Learning #arxiv-2203.05975 #region-us \n# FExGAN-Meta: Facial Expression Generation with Meta-Humans\n\n!FExGAN-Meta Cover_Image\n\nThis is a facial expression image dataset proposed in the following article:\n\n\nFExGAN-Meta: Facial Express... |
5df3e3504e161a0fac9c3f3c9aba26cc22e3dc63 |
# Dataset Card for DocBank
## Table of Contents
- [Dataset Card for DocBank](#dataset-card-for-docbank)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
... | maveriq/DocBank | [
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:apache-2.0",
"document-ai",
"arxiv:2006.01038",
"region:us"
] | 2022-11-27T10:33:22+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": [], "task_ids": [], "pretty_name": "DocBank", "tags": ["doc... | 2023-01-05T20:41:27+00:00 | [
"2006.01038"
] | [
"en"
] | TAGS
#annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-apache-2.0 #document-ai #arxiv-2006.01038 #region-us
|
# Dataset Card for DocBank
## Table of Contents
- Dataset Card for DocBank
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Ratio... | [
"# Dataset Card for DocBank",
"## Table of Contents\n- Dataset Card for DocBank\n - Table of Contents\n - Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n - Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n - Dataset Creation\n... | [
"TAGS\n#annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-apache-2.0 #document-ai #arxiv-2006.01038 #region-us \n",
"# Dataset Card for DocBank",
"## Table of Contents\n- Datase... | [
83,
7,
162,
27,
79,
17,
5,
6,
6,
78,
87,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
101,
18
] | [
"passage: TAGS\n#annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-apache-2.0 #document-ai #arxiv-2006.01038 #region-us \n# Dataset Card for DocBank## Table of Contents\n- Dataset C... |
c086bc17652a6d1acb6b23b90ee55128e5c37a7b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: Palak/google_electra-small-discriminator_squad
* Dataset: squad
* Config: plain_text
* Split: validation
... | autoevaluate/autoeval-eval-squad-plain_text-47f200-2254171821 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-27T11:34:47+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "Palak/google_electra-small-discriminator_squad", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"co... | 2022-11-27T11:37:05+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: Palak/google_electra-small-discriminator_squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit H... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: Palak/google_electra-small-discriminator_squad\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluatio... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: Palak/google_electra-small-discriminator_squad\n* Dataset: squad\n* Config: plain_t... | [
13,
95,
17
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: Palak/google_electra-small-discriminator_squad\n* Dataset: squad\n* Config: plai... |
27ea9b56a9adb20f921b9b9688b2c287470df8bf |
# Honey Whip Module embedding
## Samples
<img alt="Samples" src="https://huggingface.co/datasets/DJSoft/honey_whip_module/resolve/main/samples.jpg" style="max-height: 80vh"/>
<img alt="Comparsion" src="https://huggingface.co/datasets/DJSoft/honey_whip_module/resolve/main/steps.png" style="max-height: 80vh"/>
## Abo... | DJSoft/honey_whip_module | [
"license:creativeml-openrail-m",
"region:us"
] | 2022-11-27T14:25:49+00:00 | {"license": "creativeml-openrail-m"} | 2022-11-27T15:01:33+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
|
# Honey Whip Module embedding
## Samples
<img alt="Samples" src="URL style="max-height: 80vh"/>
<img alt="Comparsion" src="URL style="max-height: 80vh"/>
## About
Use this Stable Diffusion embedding to achieve the Project Diva Honey Whip outfit
## Usage
To use this embedding you have to download the file and put... | [
"# Honey Whip Module embedding",
"## Samples\n\n<img alt=\"Samples\" src=\"URL style=\"max-height: 80vh\"/>\n<img alt=\"Comparsion\" src=\"URL style=\"max-height: 80vh\"/>",
"## About\n\nUse this Stable Diffusion embedding to achieve the Project Diva Honey Whip outfit",
"## Usage\n\nTo use this embedding you ... | [
"TAGS\n#license-creativeml-openrail-m #region-us \n",
"# Honey Whip Module embedding",
"## Samples\n\n<img alt=\"Samples\" src=\"URL style=\"max-height: 80vh\"/>\n<img alt=\"Comparsion\" src=\"URL style=\"max-height: 80vh\"/>",
"## About\n\nUse this Stable Diffusion embedding to achieve the Project Diva Honey... | [
18,
9,
54,
21,
68,
37,
185
] | [
"passage: TAGS\n#license-creativeml-openrail-m #region-us \n# Honey Whip Module embedding## Samples\n\n<img alt=\"Samples\" src=\"URL style=\"max-height: 80vh\"/>\n<img alt=\"Comparsion\" src=\"URL style=\"max-height: 80vh\"/>## About\n\nUse this Stable Diffusion embedding to achieve the Project Diva Honey Whip out... |
03fd29b37528f8ef7b05a3c0f27f91994fab7c0e | This dataset contains several microstructure treatments:
1. [`variable_radius.zip`](https://huggingface.co/datasets/cmudrc/porous-microstructure-strain-fields/blob/main/variable_radius.zip)
- Single split
- Ten microstructures with defects of variable radii, from 0.01 mm to 0.5 mm.
- ```data = datasets.load... | cmudrc/porous-microstructure-strain-fields | [
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-11-27T15:38:47+00:00 | {"language": "en", "license": "cc-by-4.0", "doi": "10.1016/j.dib.2020.106627", "viewer": false} | 2022-12-05T01:27:26+00:00 | [] | [
"en"
] | TAGS
#language-English #license-cc-by-4.0 #region-us
| This dataset contains several microstructure treatments:
1. 'variable_radius.zip'
- Single split
- Ten microstructures with defects of variable radii, from 0.01 mm to 0.5 mm.
-
2. 'variable_number.zip'
- Single split
- Ten microstructures with different numbers of defects, from 20 to 200.
-
3.... | [] | [
"TAGS\n#language-English #license-cc-by-4.0 #region-us \n"
] | [
19
] | [
"passage: TAGS\n#language-English #license-cc-by-4.0 #region-us \n"
] |
455765ace1fb883dda7bd219ab69fefe839fb492 | # AutoTrain Dataset for project: image-classification
## Dataset Description
This dataset has been automatically processed by AutoTrain for project image-classification.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as fo... | Cuplex/autotrain-data-image-classification | [
"task_categories:image-classification",
"license:apache-2.0",
"flowers",
"region:us"
] | 2022-11-27T16:20:08+00:00 | {"license": "apache-2.0", "task_categories": ["image-classification"], "pretty_name": "Autotrained Flowers", "tags": ["flowers"]} | 2023-01-11T13:43:14+00:00 | [] | [] | TAGS
#task_categories-image-classification #license-apache-2.0 #flowers #region-us
| AutoTrain Dataset for project: image-classification
===================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project image-classification.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset ... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
"TAGS\n#task_categories-image-classification #license-apache-2.0 #flowers #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe data... | [
28,
27,
17,
23,
27
] | [
"passage: TAGS\n#task_categories-image-classification #license-apache-2.0 #flowers #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has t... |
25eb976eab494082722e2513e3afafd65fe844eb |
# xsum-stacked
The current version (corresponding to the `stacked-booksum` release): `v0.3`. See the Stacked Summaries [org page](https://huggingface.co/stacked-summaries) for _what_ this is and why it exists.
The maximum input length is 16384 tokens, and the maximum output length is 1024 tokens (measured with the L... | stacked-summaries/stacked-xsum | [
"task_categories:summarization",
"size_categories:100K<n<1M",
"source_datasets:xsum",
"language:en",
"license:apache-2.0",
"stacked summaries",
"doi:10.57967/hf/0269",
"region:us"
] | 2022-11-27T16:25:33+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "source_datasets": ["xsum"], "task_categories": ["summarization"], "pretty_name": "Stacked XSUM 16384", "tags": ["stacked summaries"]} | 2023-01-12T19:31:38+00:00 | [] | [
"en"
] | TAGS
#task_categories-summarization #size_categories-100K<n<1M #source_datasets-xsum #language-English #license-apache-2.0 #stacked summaries #doi-10.57967/hf/0269 #region-us
|
# xsum-stacked
The current version (corresponding to the 'stacked-booksum' release): 'v0.3'. See the Stacked Summaries org page for _what_ this is and why it exists.
The maximum input length is 16384 tokens, and the maximum output length is 1024 tokens (measured with the Long-T5 tokenizer).
## stats
If you fi... | [
"# xsum-stacked\n\nThe current version (corresponding to the 'stacked-booksum' release): 'v0.3'. See the Stacked Summaries org page for _what_ this is and why it exists.\n\nThe maximum input length is 16384 tokens, and the maximum output length is 1024 tokens (measured with the Long-T5 tokenizer).",
"## stats\n\n... | [
"TAGS\n#task_categories-summarization #size_categories-100K<n<1M #source_datasets-xsum #language-English #license-apache-2.0 #stacked summaries #doi-10.57967/hf/0269 #region-us \n",
"# xsum-stacked\n\nThe current version (corresponding to the 'stacked-booksum' release): 'v0.3'. See the Stacked Summaries org page ... | [
66,
82,
17
] | [
"passage: TAGS\n#task_categories-summarization #size_categories-100K<n<1M #source_datasets-xsum #language-English #license-apache-2.0 #stacked summaries #doi-10.57967/hf/0269 #region-us \n# xsum-stacked\n\nThe current version (corresponding to the 'stacked-booksum' release): 'v0.3'. See the Stacked Summaries org pa... |
c14d35325c6c44f3fbf96fe02149f7303598c3c1 | # `3d-printed-or-not`: An Image Dataset of 3D-printed Prototypes
This dataset is a collection of images that are particularly relevant to engineering and design, consisting of two categories: 3D-printed prototypes, and non-3D-printed prototypes This data was collected through a hybrid approach that entailed both web sc... | cmudrc/3d-printed-or-not | [
"task_categories:image-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"engineering",
"additive manufacturing",
"3d printing",
"regi... | 2022-11-27T17:04:20+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["image-classification"], "task_ids": [], "pretty_name": "3d-Printed Or ... | 2022-12-03T18:27:54+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-4.0 #engineering #additive manufacturing #3d printing #region-us
| # '3d-printed-or-not': An Image Dataset of 3D-printed Prototypes
This dataset is a collection of images that are particularly relevant to engineering and design, consisting of two categories: 3D-printed prototypes, and non-3D-printed prototypes This data was collected through a hybrid approach that entailed both web sc... | [
"# '3d-printed-or-not': An Image Dataset of 3D-printed Prototypes\nThis dataset is a collection of images that are particularly relevant to engineering and design, consisting of two categories: 3D-printed prototypes, and non-3D-printed prototypes This data was collected through a hybrid approach that entailed both ... | [
"TAGS\n#task_categories-image-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-4.0 #engineering #additive manufacturing #3d printing #region-us \n",
"# '3d-printed-or-n... | [
91,
139
] | [
"passage: TAGS\n#task_categories-image-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-4.0 #engineering #additive manufacturing #3d printing #region-us \n# '3d-printed-o... |
ee24c4e060c64654981f164dbe3fa72c1b52c969 | # Dataset Card for "test_images"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | cakiki/test_images | [
"region:us"
] | 2022-11-27T18:04:52+00:00 | {"dataset_info": {"features": [{"name": "adjective", "dtype": "string"}, {"name": "profession", "dtype": "string"}, {"name": "no", "dtype": "int32"}, {"name": "image_path", "dtype": "string"}, {"name": "image", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 2362623.085768742, "num_examples": 3}], "downlo... | 2022-11-27T18:05:02+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "test_images"
More Information needed | [
"# Dataset Card for \"test_images\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"test_images\"\n\nMore Information needed"
] | [
6,
14
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"test_images\"\n\nMore Information needed"
] |
8e87f6e18efeff686c2b3bf2662d12b25b4cfdf0 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new... | autoevaluate/autoeval-staging-eval-project-a06941db-151a-4b58-9601-c0f67c181a54-6665 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-27T19:21:57+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "... | 2022-11-27T19:22:43+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visit Hugging Face... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, vis... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Spli... | [
13,
89,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* S... |
302a1c4114054fae78bd7a7ddf3cfe8ba8f0c4a5 |
# Dataset Card for bace_regression
## 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-s... | zpn/bace_regression | [
"task_categories:other",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"license:mit",
"bio",
"bio-chem",
"molnet",
"molecule-net",
"biophysics",
"arxiv:1703.00564",
"region:us"
] | 2022-11-27T20:19:13+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["other"], "task_ids": [], "pretty_name": "bace_regression", "tags": ["bio", "bio-chem", "molnet"... | 2022-11-27T23:26:19+00:00 | [
"1703.00564"
] | [] | TAGS
#task_categories-other #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #license-mit #bio #bio-chem #molnet #molecule-net #biophysics #arxiv-1703.00564 #region-us
|
# Dataset Card for bace_regression
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- ... | [
"# Dataset Card for bace_regression",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\... | [
"TAGS\n#task_categories-other #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #license-mit #bio #bio-chem #molnet #molecule-net #biophysics #arxiv-1703.00564 #region-us \n",
"# Dataset Card for bace_regression",
"## Table of Con... | [
91,
10,
125,
18,
57,
6,
56,
28,
4,
25,
17,
19
] | [
"passage: TAGS\n#task_categories-other #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #license-mit #bio #bio-chem #molnet #molecule-net #biophysics #arxiv-1703.00564 #region-us \n# Dataset Card for bace_regression## Table of Conten... |
cefb48421d115b83e3c7aa61357b2c8d912ade5d | # Dataset Card for "turkishReviews-ds-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | erkanxyzalaca/turkishReviews-ds-mini | [
"region:us"
] | 2022-11-27T20:24:46+00:00 | {"dataset_info": {"features": [{"name": "review", "dtype": "string"}, {"name": "review_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 2816625.7828408685, "num_examples": 7584}, {"name": "validation", "num_bytes": 313082.21715913137, "num_examples": 843}], "download_size": 2012226, "dataset_size"... | 2022-11-28T01:05:50+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "turkishReviews-ds-mini"
More Information needed | [
"# Dataset Card for \"turkishReviews-ds-mini\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"turkishReviews-ds-mini\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"turkishReviews-ds-mini\"\n\nMore Information needed"
] |
296ec382cc89b4b651c4843e018bc9bfbe36be0b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: autoevaluate/distilbert-base-cased-distilled-squad
* Dataset: autoevaluate/squad-sample
* Config: autoeva... | autoevaluate/autoeval-staging-eval-project-07b25a74-bd51-47fa-acc1-af839bad3b38-9999 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-27T20:31:32+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["autoevaluate/squad-sample"], "eval_info": {"task": "extractive_question_answering", "model": "autoevaluate/distilbert-base-cased-distilled-squad", "metrics": [], "dataset_name": "autoevaluate/squad-sample", "dataset_config": "autoevaluate--squad... | 2022-11-27T20:32:10+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: autoevaluate/distilbert-base-cased-distilled-squad
* Dataset: autoevaluate/squad-sample
* Config: autoevaluate--squad-sample
* Split: test
T... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: autoevaluate/distilbert-base-cased-distilled-squad\n* Dataset: autoevaluate/squad-sample\n* Config: autoevaluate--squad-sample\n* S... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: autoevaluate/distilbert-base-cased-distilled-squad\n* Dataset: autoevaluate/squad-s... | [
13,
110,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: autoevaluate/distilbert-base-cased-distilled-squad\n* Dataset: autoevaluate/squa... |
fa15bf258f45d546f5525d5d692b30cc311e4149 | # Dataset Card for "VALUE_sst2_lexical"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_sst2_lexical | [
"region:us"
] | 2022-11-27T22:24:48+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 82922, "num_examples": 579}, {"name": "test", "num_bytes": 169738, "num_examples": 1197}, {"name":... | 2022-11-27T22:24:55+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_sst2_lexical"
More Information needed | [
"# Dataset Card for \"VALUE_sst2_lexical\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_sst2_lexical\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_sst2_lexical\"\n\nMore Information needed"
] |
450870e0efd7621964dc3a9dc7fa2ca55af4f03b | # Dataset Card for "VALUE_sst2_negative_inversion"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_sst2_negative_inversion | [
"region:us"
] | 2022-11-27T22:51:50+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 2434, "num_examples": 20}], "download_size": 2911, "dataset_size": 2434}} | 2022-11-27T22:51:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE_sst2_negative_inversion"
More Information needed | [
"# Dataset Card for \"VALUE_sst2_negative_inversion\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_sst2_negative_inversion\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_sst2_negative_inversion\"\n\nMore Information needed"
] |
1939624e7d9d8770047d30aa0a80916df2d3e884 |
# Dataset Card for bace_classification
## 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](#datas... | zpn/bace_classification | [
"task_categories:other",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"license:mit",
"bio",
"bio-chem",
"molnet",
"molecule-net",
"biophysics",
"arxiv:1703.00564",
"region:us"
] | 2022-11-27T23:04:38+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["other"], "task_ids": [], "pretty_name": "bace_classification", "tags": ["bio", "bio-chem", "mol... | 2022-12-09T19:42:45+00:00 | [
"1703.00564"
] | [] | TAGS
#task_categories-other #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #license-mit #bio #bio-chem #molnet #molecule-net #biophysics #arxiv-1703.00564 #region-us
|
# Dataset Card for bace_classification
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
... | [
"# Dataset Card for bace_classification",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source D... | [
"TAGS\n#task_categories-other #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #license-mit #bio #bio-chem #molnet #molecule-net #biophysics #arxiv-1703.00564 #region-us \n",
"# Dataset Card for bace_classification",
"## Table of... | [
91,
10,
125,
18,
59,
6,
55,
28,
4,
25,
17,
19
] | [
"passage: TAGS\n#task_categories-other #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #license-mit #bio #bio-chem #molnet #molecule-net #biophysics #arxiv-1703.00564 #region-us \n# Dataset Card for bace_classification## Table of Co... |
45bf6a2cc0780d8e5a61349aabd21f0d5735ae1e | # Dataset Card for "Test_Food"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | izou3/Test_Food | [
"region:us"
] | 2022-11-28T00:24:34+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 38840173.0, "num_examples": 362}], "download_size": 38425254, "dataset_size": 38840173.0}} | 2022-12-03T06:55:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Test_Food"
More Information needed | [
"# Dataset Card for \"Test_Food\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Test_Food\"\n\nMore Information needed"
] | [
6,
13
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Test_Food\"\n\nMore Information needed"
] |
0205b5a7e3c0cc9c917b69581d1c38da25390152 | # Dataset Card for "Food-Prototype"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | izou3/Food-Prototype | [
"region:us"
] | 2022-11-28T00:57:18+00:00 | {"dataset_info": {"features": [{"name": "pixel_values", "dtype": "image"}, {"name": "label", "dtype": "image"}], "splits": [{"name": "train", "num_bytes": 74206828.0, "num_examples": 400}], "download_size": 73784241, "dataset_size": 74206828.0}} | 2022-12-03T20:13:00+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Food-Prototype"
More Information needed | [
"# Dataset Card for \"Food-Prototype\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Food-Prototype\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Food-Prototype\"\n\nMore Information needed"
] |
7e27c13f027b53b189d2e7093c0f32b54fb9ea2a | # Dataset Release: Indirect Object Identification
`mecha_ioi` is a pair of datasets tailored for the Indirect Object Identification task, where sentences are generated from the following set of templates:
- BABA
```
baba_templates = [
"Then, {B} and {A} went to the {PLACE}. {B} gave a {OBJECT} to {A}",
"Then... | fahamu/ioi | [
"license:mit",
"doi:10.57967/hf/1415",
"region:us"
] | 2022-11-28T01:10:59+00:00 | {"license": "mit"} | 2023-12-01T09:00:43+00:00 | [] | [] | TAGS
#license-mit #doi-10.57967/hf/1415 #region-us
| # Dataset Release: Indirect Object Identification
'mecha_ioi' is a pair of datasets tailored for the Indirect Object Identification task, where sentences are generated from the following set of templates:
- BABA
- ABBA
The purpose of this dataset is to facilitate interpretability research, inspired by the paper
_I... | [
"# Dataset Release: Indirect Object Identification\n'mecha_ioi' is a pair of datasets tailored for the Indirect Object Identification task, where sentences are generated from the following set of templates:\n\n- BABA\n\n\n- ABBA\n\nThe purpose of this dataset is to facilitate interpretability research, inspired by ... | [
"TAGS\n#license-mit #doi-10.57967/hf/1415 #region-us \n",
"# Dataset Release: Indirect Object Identification\n'mecha_ioi' is a pair of datasets tailored for the Indirect Object Identification task, where sentences are generated from the following set of templates:\n\n- BABA\n\n\n- ABBA\n\nThe purpose of this data... | [
23,
135,
6
] | [
"passage: TAGS\n#license-mit #doi-10.57967/hf/1415 #region-us \n# Dataset Release: Indirect Object Identification\n'mecha_ioi' is a pair of datasets tailored for the Indirect Object Identification task, where sentences are generated from the following set of templates:\n\n- BABA\n\n\n- ABBA\n\nThe purpose of this d... |
1baff7ca65159cc8b91ec9b0231a355b2343963a | # Dataset Card for "my-test-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mchen72/my-test-dataset | [
"region:us"
] | 2022-11-28T01:23:45+00:00 | {"dataset_info": {"features": [{"name": "labels", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16847665.2, "num_examples": 90000}, {"name": "test", "num_bytes": 1871962.8, "num_examples": 10000}], "download_size": 11140374, "dataset_size": 18719628.0}} | 2022-11-30T02:54:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "my-test-dataset"
More Information needed | [
"# Dataset Card for \"my-test-dataset\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"my-test-dataset\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"my-test-dataset\"\n\nMore Information needed"
] |
0df7e42149a934ca8167e429d2dbc5142647f29a | # Dataset Card for "Inference_Attribute_Prediction"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sandipan1994/Inference_Attribute_Prediction | [
"region:us"
] | 2022-11-28T03:53:30+00:00 | {"dataset_info": {"features": [{"name": "step", "dtype": "string"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4985662, "num_examples": 23330}, {"name": "test", "num_bytes": 1319178, "num_examples": 6216}, {"name": "validation", "num_bytes": 739704, "num_examples": 3403}], "downloa... | 2022-11-28T03:53:37+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Inference_Attribute_Prediction"
More Information needed | [
"# Dataset Card for \"Inference_Attribute_Prediction\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Inference_Attribute_Prediction\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Inference_Attribute_Prediction\"\n\nMore Information needed"
] |
cf628fceb6fd7decd650ed0f74aedcae494e82ec | # AutoTrain Dataset for project: translator
## Dataset Description
This dataset has been automatically processed by AutoTrain for project translator.
### Languages
The BCP-47 code for the dataset's language is ja2en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
... | SYH99999/autotrain-data-translator-3c03831c-5fcf2e86-839aa322-a7658498-cb30b55a-eefc0458 | [
"task_categories:translation",
"language:ja",
"language:en",
"region:us"
] | 2022-11-28T06:00:17+00:00 | {"language": ["ja", "en"], "task_categories": ["translation"]} | 2022-11-28T11:51:52+00:00 | [] | [
"ja",
"en"
] | TAGS
#task_categories-translation #language-Japanese #language-English #region-us
| AutoTrain Dataset for project: translator
=========================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project translator.
### Languages
The BCP-47 code for the dataset's language is ja2en.
Dataset Structure
-----------------
... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is ja2en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis... | [
"TAGS\n#task_categories-translation #language-Japanese #language-English #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is ja2en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dat... | [
25,
28,
17,
23,
27
] | [
"passage: TAGS\n#task_categories-translation #language-Japanese #language-English #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is ja2en.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has ... |
27971fdd6cddbc677b038afb08704db907c24ed2 | # Dataset Card for "squad_1_1_smallcase_context"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mlxen/squad_1_1_smallcase_context | [
"region:us"
] | 2022-11-28T07:02:00+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}], "splits": [{"name"... | 2022-11-28T07:02:05+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "squad_1_1_smallcase_context"
More Information needed | [
"# Dataset Card for \"squad_1_1_smallcase_context\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"squad_1_1_smallcase_context\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"squad_1_1_smallcase_context\"\n\nMore Information needed"
] |
e39321e2b5ad29f4cff504a57c8dce98d7c5927e | # Dataset Card for "squad_1_1_contrastdata_training"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mlxen/squad_1_1_contrastdata_training | [
"region:us"
] | 2022-11-28T07:08:00+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}], "splits": [{"name"... | 2022-11-28T07:15:11+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "squad_1_1_contrastdata_training"
More Information needed | [
"# Dataset Card for \"squad_1_1_contrastdata_training\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"squad_1_1_contrastdata_training\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"squad_1_1_contrastdata_training\"\n\nMore Information needed"
] |
1e8270beb8c1643c8735dddb7229fffb0e399f74 |
# Dataset Card for UWB-ATCC corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages and Other Details](#languages-and-other-details)
- [Dataset Structure](#dataset-structu... | Jzuluaga/uwb_atcc | [
"task_categories:automatic-speech-recognition",
"multilinguality:monolingual",
"language:en",
"license:cc-by-nc-sa-4.0",
"audio",
"automatic-speech-recognition",
"en-atc",
"en",
"noisy-speech-recognition",
"speech-recognition",
"arxiv:2203.16822",
"region:us"
] | 2022-11-28T07:12:02+00:00 | {"language": ["en"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "task_categories": ["automatic-speech-recognition"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}, {"name": "s... | 2022-12-05T11:15:20+00:00 | [
"2203.16822"
] | [
"en"
] | TAGS
#task_categories-automatic-speech-recognition #multilinguality-monolingual #language-English #license-cc-by-nc-sa-4.0 #audio #automatic-speech-recognition #en-atc #en #noisy-speech-recognition #speech-recognition #arxiv-2203.16822 #region-us
|
# Dataset Card for UWB-ATCC corpus
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages and Other Details
- Dataset Structure
- Data Fields
- Additional Information
- Licensing Information
- Citation Information
## Dataset Description
- Homepage: U... | [
"# Dataset Card for UWB-ATCC corpus",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages and Other Details\n- Dataset Structure\n - Data Fields\n- Additional Information\n - Licensing Information\n - Citation Information",
"## Dataset Descri... | [
"TAGS\n#task_categories-automatic-speech-recognition #multilinguality-monolingual #language-English #license-cc-by-nc-sa-4.0 #audio #automatic-speech-recognition #en-atc #en #noisy-speech-recognition #speech-recognition #arxiv-2203.16822 #region-us \n",
"# Dataset Card for UWB-ATCC corpus",
"## Table of Content... | [
93,
11,
53,
94,
175,
45,
159,
6,
158,
5,
90
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #multilinguality-monolingual #language-English #license-cc-by-nc-sa-4.0 #audio #automatic-speech-recognition #en-atc #en #noisy-speech-recognition #speech-recognition #arxiv-2203.16822 #region-us \n# Dataset Card for UWB-ATCC corpus## Table of Contents\n... |
d22246fb0d5fc2e623b8b0e108e2656dbb52b1fc | # Dataset Card for "Inference_Text_Generation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Sandipan1994/Inference_Text_Generation | [
"region:us"
] | 2022-11-28T07:47:42+00:00 | {"dataset_info": {"features": [{"name": "step", "dtype": "string"}, {"name": "inference", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 789550, "num_examples": 4175}, {"name": "validation", "num_bytes": 115475, "num_examples": 597}, {"name": "test", "num_bytes": 209234, "num_examples": 1109}], "downloa... | 2022-11-28T07:48:13+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "Inference_Text_Generation"
More Information needed | [
"# Dataset Card for \"Inference_Text_Generation\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"Inference_Text_Generation\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"Inference_Text_Generation\"\n\nMore Information needed"
] |
8c2931e754cf74c5360e076118b4656361bd88f8 | # Dataset Card for "tib_complete_metadata"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | gigant/tib_complete_metadata | [
"region:us"
] | 2022-11-28T08:21:20+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "href", "dtype": "string"}, {"name": "description", "dtype": "null"}, {"name": "url_vid", "dtype": "string"}, {"name": "release_date", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "genre", "dtype": "string"}, {"name": ... | 2022-11-28T08:21:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "tib_complete_metadata"
More Information needed | [
"# Dataset Card for \"tib_complete_metadata\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"tib_complete_metadata\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"tib_complete_metadata\"\n\nMore Information needed"
] |
8f4bf0093ac5f67755c4381a4394cdd8ea920100 | # More details will be added | polytechXhf/jojos-dataset | [
"task_categories:text-to-image",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:en",
"license:cc-by-3.0",
"jojos-bizarre-adventures",
"one-piece",
"fine-tune-stable-diffusion",
"regio... | 2022-11-28T10:14:48+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-3.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text-to-image"], "task_ids": [], "pretty_name": "Dataset for Jojo\u2019s x One ... | 2023-03-18T23:31:39+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-to-image #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-cc-by-3.0 #jojos-bizarre-adventures #one-piece #fine-tune-stable-diffusion #region-us
| # More details will be added | [
"# More details will be added"
] | [
"TAGS\n#task_categories-text-to-image #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-cc-by-3.0 #jojos-bizarre-adventures #one-piece #fine-tune-stable-diffusion #region-us \n",
"# More details will... | [
103,
6
] | [
"passage: TAGS\n#task_categories-text-to-image #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-cc-by-3.0 #jojos-bizarre-adventures #one-piece #fine-tune-stable-diffusion #region-us \n# More details w... |
eca0119ce897681b73653531eeadc759bab7f917 | # Dataset Card for "vira-dialog-acts-live"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ibm/vira-dialog-acts-live | [
"region:us"
] | 2022-11-28T11:18:36+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 23507, "num_examples": 571}, {"name": "validation", "num_bytes": 3165, "num_examples": 71}, {"name": "test", "num_bytes": 2591, "num_examples": 72}], "download_size": 0, "d... | 2022-11-29T12:42:30+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "vira-dialog-acts-live"
More Information needed | [
"# Dataset Card for \"vira-dialog-acts-live\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"vira-dialog-acts-live\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"vira-dialog-acts-live\"\n\nMore Information needed"
] |
8a0b5a253b012eed0cbe7ad5d6cf4bed74b42d27 | # AutoTrain Dataset for project: country-to-country-code-2
## Dataset Description
This dataset has been automatically processed by AutoTrain for project country-to-country-code-2.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset lo... | AiBototicus/autotrain-data-country-to-country-code-2 | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2022-11-28T12:55:34+00:00 | {"language": ["en"], "task_categories": ["text-classification"]} | 2022-11-28T12:57:47+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| AutoTrain Dataset for project: country-to-country-code-2
========================================================
Dataset Description
-------------------
This dataset has been automatically processed by AutoTrain for project country-to-country-code-2.
### Languages
The BCP-47 code for the dataset's language is ... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis da... | [
"TAGS\n#task_categories-text-classification #language-English #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the f... | [
21,
26,
17,
23,
27
] | [
"passage: TAGS\n#task_categories-text-classification #language-English #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following ... |
d50e9e8c7209e97273e44de8162b63d640432b20 |
# Dataset Analyze
Brief results (example):
```sh
==================
max dur: 14.531 s (wav_id: BAC009S0658W0472)
P99 dur: 8.510 s (wav_id: BAC009S0156W0340)
P75 dur: 5.326 s (wav_id: BAC009S0128W0161)
P50 dur: 4.262 s (wav_id: BAC009S0134W0187)
P25 dur: 3.494 s (wav_id: BAC009S0710W0419)
min dur: 1.230 s (wav_id: BAC... | wenet/Speech-Dataset-Analyze | [
"license:apache-2.0",
"region:us"
] | 2022-11-28T13:01:57+00:00 | {"license": "apache-2.0"} | 2022-12-12T09:07:16+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# Dataset Analyze
Brief results (example):
Detailed results (example):
| [
"# Dataset Analyze\n\nBrief results (example):\n\n\nDetailed results (example):"
] | [
"TAGS\n#license-apache-2.0 #region-us \n",
"# Dataset Analyze\n\nBrief results (example):\n\n\nDetailed results (example):"
] | [
14,
21
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n# Dataset Analyze\n\nBrief results (example):\n\n\nDetailed results (example):"
] |
35183de294390f330e4c5202af7eb77269739d6b | # Dataset Card for "clinic-banking"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | fathyshalab/clinic-banking | [
"region:us"
] | 2022-11-28T13:28:09+00:00 | {"dataset_info": {"features": [{"name": "Unnamed: 0", "dtype": "int64"}, {"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "label_text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 21001.221333333335, "num_examples": 262}, {"name": "test", "num_bytes": 9057.7786666666... | 2022-12-24T17:38:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "clinic-banking"
More Information needed | [
"# Dataset Card for \"clinic-banking\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"clinic-banking\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"clinic-banking\"\n\nMore Information needed"
] |
43a78c4b8460311443f9917b9658f2a81806117a |
# Dataset Card for pcba_686978
## 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-struc... | zpn/pcba_686978 | [
"task_categories:other",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"license:mit",
"bio",
"bio-chem",
"molnet",
"molecule-net",
"biophysics",
"arxiv:1703.00564",
"region:us"
] | 2022-11-28T14:25:33+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["other"], "task_ids": [], "pretty_name": "pcba_686978", "tags": ["bio", "bio-chem", "molnet", "... | 2022-12-09T20:30:45+00:00 | [
"1703.00564"
] | [] | TAGS
#task_categories-other #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-100K<n<1M #license-mit #bio #bio-chem #molnet #molecule-net #biophysics #arxiv-1703.00564 #region-us
|
# Dataset Card for pcba_686978
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Pers... | [
"# Dataset Card for pcba_686978",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n -... | [
"TAGS\n#task_categories-other #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-100K<n<1M #license-mit #bio #bio-chem #molnet #molecule-net #biophysics #arxiv-1703.00564 #region-us \n",
"# Dataset Card for pcba_686978",
"## Table of Conten... | [
91,
11,
125,
18,
75,
6,
63,
26,
4,
25,
17,
19
] | [
"passage: TAGS\n#task_categories-other #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-100K<n<1M #license-mit #bio #bio-chem #molnet #molecule-net #biophysics #arxiv-1703.00564 #region-us \n# Dataset Card for pcba_686978## Table of Contents\... |
880db59ed13fe5956e440b45b50818d1d3d2d161 | # Dataset Card for "news-and-blogs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | justinian336/news-and-blogs | [
"region:us"
] | 2022-11-28T14:38:06+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "content", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11785675.449565798, "num_examples": 2972}], "download_size": 7254802, "dataset_size": 11785675.449565798}} | 2022-11-28T15:00:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "news-and-blogs"
More Information needed | [
"# Dataset Card for \"news-and-blogs\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"news-and-blogs\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"news-and-blogs\"\n\nMore Information needed"
] |
35752fdb4e82da3aa460e21a8f948cdd782f1c19 | # Utilising Weak Supervision to Create S3D: A Sarcasm Annotated Dataset
This is the repository for the S3D dataset published at EMNLP 2022. The dataset can help build sarcasm detection models.
# SAD
The SAD dataset is our gold standard dataset of tweets labelled for sarcasm. These tweets were scraped by observing a '#... | surrey-nlp/SAD | [
"task_categories:text-classification",
"annotations_creators:Jordan Painter, Diptesh Kanojia",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2022-11-28T15:26:38+00:00 | {"annotations_creators": ["Jordan Painter, Diptesh Kanojia"], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "pretty_name": "Utilising Weak Supervision to create S3D: A Sar... | 2022-11-28T18:41:51+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #annotations_creators-Jordan Painter, Diptesh Kanojia #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-sa-4.0 #region-us
| # Utilising Weak Supervision to Create S3D: A Sarcasm Annotated Dataset
This is the repository for the S3D dataset published at EMNLP 2022. The dataset can help build sarcasm detection models.
# SAD
The SAD dataset is our gold standard dataset of tweets labelled for sarcasm. These tweets were scraped by observing a '#... | [
"# Utilising Weak Supervision to Create S3D: A Sarcasm Annotated Dataset\nThis is the repository for the S3D dataset published at EMNLP 2022. The dataset can help build sarcasm detection models.",
"# SAD\nThe SAD dataset is our gold standard dataset of tweets labelled for sarcasm. These tweets were scraped by obs... | [
"TAGS\n#task_categories-text-classification #annotations_creators-Jordan Painter, Diptesh Kanojia #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-sa-4.0 #region-us \n",
"# Utilising Weak Supervision to Create S3D: A Sarcasm Annotated Dataset\nThis ... | [
80,
55,
124,
31,
20
] | [
"passage: TAGS\n#task_categories-text-classification #annotations_creators-Jordan Painter, Diptesh Kanojia #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-cc-by-sa-4.0 #region-us \n# Utilising Weak Supervision to Create S3D: A Sarcasm Annotated Dataset\nTh... |
fb45c0b1afe4de7cb970d171eb4d19befb03fed6 |
## Table of Contents
- [Dataset Description](#dataset-description)
-
# Utilising Weak Supervision to Create S3D: A Sarcasm Annotated Dataset
This is the repository for the S3D dataset published at EMNLP 2022. The dataset can help build sarcasm detection models.
# S3D Summary
The S3D dataset is our silver standard d... | surrey-nlp/S3D-v1 | [
"task_categories:text-classification",
"annotations_creators:Jordan Painter, Diptesh Kanojia",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | 2022-11-28T15:27:35+00:00 | {"annotations_creators": ["Jordan Painter, Diptesh Kanojia"], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "pretty_name": "Utilising Weak Supervision to create S3D: A Sa... | 2022-11-28T18:46:48+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #annotations_creators-Jordan Painter, Diptesh Kanojia #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-4.0 #region-us
|
## Table of Contents
- Dataset Description
-
# Utilising Weak Supervision to Create S3D: A Sarcasm Annotated Dataset
This is the repository for the S3D dataset published at EMNLP 2022. The dataset can help build sarcasm detection models.
# S3D Summary
The S3D dataset is our silver standard dataset of 100,000 tweets... | [
"## Table of Contents\n- Dataset Description\n\n-",
"# Utilising Weak Supervision to Create S3D: A Sarcasm Annotated Dataset\nThis is the repository for the S3D dataset published at EMNLP 2022. The dataset can help build sarcasm detection models.",
"# S3D Summary\nThe S3D dataset is our silver standard dataset ... | [
"TAGS\n#task_categories-text-classification #annotations_creators-Jordan Painter, Diptesh Kanojia #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-4.0 #region-us \n",
"## Table of Contents\n- Dataset Description\n\n-",
"# Utilising Weak Superv... | [
80,
10,
55,
105,
31,
20
] | [
"passage: TAGS\n#task_categories-text-classification #annotations_creators-Jordan Painter, Diptesh Kanojia #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-4.0 #region-us \n## Table of Contents\n- Dataset Description\n\n-# Utilising Weak Supervisi... |
c06e746d78f1862a5262198efb26c4474f05ac8b | Replica Dataset for vMAP, including 8 sequences, and for each sequence, we rendered two different trajectories 00 and 01.
Traj 00 is same as iMAP, while traj 01 is a different traj for 2D novel view synthesis rendering evaluation.
The habitat folder in each sequence contains 3D models of each composed object for 3D g... | kxic/vMAP | [
"region:us"
] | 2022-11-28T16:14:26+00:00 | {} | 2023-02-21T16:37:43+00:00 | [] | [] | TAGS
#region-us
| Replica Dataset for vMAP, including 8 sequences, and for each sequence, we rendered two different trajectories 00 and 01.
Traj 00 is same as iMAP, while traj 01 is a different traj for 2D novel view synthesis rendering evaluation.
The habitat folder in each sequence contains 3D models of each composed object for 3D g... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
2fae623a15c66307ce286243782029520b569690 | TEST | davanstrien/testgitupload | [
"arxiv:2211.10086",
"region:us"
] | 2022-11-28T16:55:47+00:00 | {"tags": ["arxiv:2211.10086"]} | 2023-01-18T12:10:40+00:00 | [
"2211.10086"
] | [] | TAGS
#arxiv-2211.10086 #region-us
| TEST | [] | [
"TAGS\n#arxiv-2211.10086 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#arxiv-2211.10086 #region-us \n"
] |
eebd6592b6bd0874b2b6b72922acdf479de379bd |
# DEBUG Dataset Card for "tweetyface"
## 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](#datas... | ML-Projects-Kiel/tweetyface_debug | [
"task_categories:text-generation",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"language:en",
"language:de",
"license:apache-2.0",
"region:us"
] | 2022-11-28T17:01:37+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["crowdsourced"], "language": ["en", "de"], "license": ["apache-2.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": [], "pretty_name": "tweetyface_de... | 2022-12-05T15:38:09+00:00 | [] | [
"en",
"de"
] | TAGS
#task_categories-text-generation #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-multilingual #size_categories-10K<n<100K #language-English #language-German #license-apache-2.0 #region-us
| DEBUG Dataset Card for "tweetyface"
===================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation... | [
"### Dataset Summary\n\n\nDEBUG",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nEnglish, German\n\n\nDataset Structure\n-----------------",
"### Data Instances",
"#### english\n\n\n* Size of downloaded dataset files: 4.77 MB\n* Size of the generated dataset: 5.92 MB\n* Total amount of disk use... | [
"TAGS\n#task_categories-text-generation #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-multilingual #size_categories-10K<n<100K #language-English #language-German #license-apache-2.0 #region-us \n",
"### Dataset Summary\n\n\nDEBUG",
"### Supported Tasks and Leaderboards... | [
77,
9,
10,
14,
6,
37,
50,
81,
11,
7,
4,
10,
10,
5,
5,
9,
18,
7,
8,
14,
6,
6
] | [
"passage: TAGS\n#task_categories-text-generation #annotations_creators-machine-generated #language_creators-crowdsourced #multilinguality-multilingual #size_categories-10K<n<100K #language-English #language-German #license-apache-2.0 #region-us \n### Dataset Summary\n\n\nDEBUG### Supported Tasks and Leaderboards###... |
a9b01bbb313276a9bde9576048677e1b62bb4bcb |
# Dataset Card for Quran audio
Content
* 7 Imam Full Quran Recitation: 7*6236 wav file
- csv contains the Text info for 11k subset short wav file
* Tarteel.io user dataset ~25k wav
- csv contains the Text info for 18k subset of the accepted user quality | ashraf-ali/quran-data | [
"task_categories:automatic-speech-recognition",
"language_creators:Tarteel.io",
"license:cc0-1.0",
"region:us"
] | 2022-11-28T17:14:02+00:00 | {"language_creators": ["Tarteel.io"], "license": ["cc0-1.0"], "size_categories": {"ar": [43652]}, "task_categories": ["automatic-speech-recognition"], "task_ids": [], "paperswithcode_id": "quran-data", "pretty_name": "Quran Audio", "language_bcp47": ["ar"]} | 2022-12-10T17:35:33+00:00 | [] | [] | TAGS
#task_categories-automatic-speech-recognition #language_creators-Tarteel.io #license-cc0-1.0 #region-us
|
# Dataset Card for Quran audio
Content
* 7 Imam Full Quran Recitation: 7*6236 wav file
- csv contains the Text info for 11k subset short wav file
* URL user dataset ~25k wav
- csv contains the Text info for 18k subset of the accepted user quality | [
"# Dataset Card for Quran audio\n\nContent \n* 7 Imam Full Quran Recitation: 7*6236 wav file\n - csv contains the Text info for 11k subset short wav file\n* URL user dataset ~25k wav\n - csv contains the Text info for 18k subset of the accepted user quality"
] | [
"TAGS\n#task_categories-automatic-speech-recognition #language_creators-Tarteel.io #license-cc0-1.0 #region-us \n",
"# Dataset Card for Quran audio\n\nContent \n* 7 Imam Full Quran Recitation: 7*6236 wav file\n - csv contains the Text info for 11k subset short wav file\n* URL user dataset ~25k wav\n - csv co... | [
42,
69
] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #language_creators-Tarteel.io #license-cc0-1.0 #region-us \n# Dataset Card for Quran audio\n\nContent \n* 7 Imam Full Quran Recitation: 7*6236 wav file\n - csv contains the Text info for 11k subset short wav file\n* URL user dataset ~25k wav\n - csv... |
5cff673de826de3c9d90840c73682aa19c9308e1 | # Dataset Card for "squad_v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mlxen/squad_v1 | [
"region:us"
] | 2022-11-28T18:37:54+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}], "splits": [{"name"... | 2022-11-28T18:37:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "squad_v1"
More Information needed | [
"# Dataset Card for \"squad_v1\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"squad_v1\"\n\nMore Information needed"
] | [
6,
15
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"squad_v1\"\n\nMore Information needed"
] |
73077c37f5c69d24cfc8bd4b9b02960039cceafe | Textual Inversion embedding to create portraits in the style of the most famous portrait photographer ever, "Yousuf Karsh"
Trigger word is "karsh"
Example images generated with this prompt template: portrait photo of "character", highly detailed, by karsh
![05898-3647817921-portrait photo of The joker, highly detai... | PublicPrompts/Karsh | [
"license:openrail++",
"region:us"
] | 2022-11-28T19:18:32+00:00 | {"license": "openrail++"} | 2023-01-08T05:15:57+00:00 | [] | [] | TAGS
#license-openrail++ #region-us
| Textual Inversion embedding to create portraits in the style of the most famous portrait photographer ever, "Yousuf Karsh"
Trigger word is "karsh"
Example images generated with this prompt template: portrait photo of "character", highly detailed, by karsh
!05898-3647817921-portrait photo of The joker, highly detail... | [] | [
"TAGS\n#license-openrail++ #region-us \n"
] | [
13
] | [
"passage: TAGS\n#license-openrail++ #region-us \n"
] |
d6e7829d66a86747ef92559700cb8dd6fa7fc505 | This dataset obtains genealogical and typological information for the 104 languages used for pre-training of the language model multilingual BERT (Devlin et al., 2019).
The genealogical information covers the language family and the genus for each language.
For typological description of the pre-training languages, 36... | MayaGalvez/linguistic_representation_mBERT | [
"region:us"
] | 2022-11-28T19:44:50+00:00 | {} | 2023-01-26T10:56:38+00:00 | [] | [] | TAGS
#region-us
| This dataset obtains genealogical and typological information for the 104 languages used for pre-training of the language model multilingual BERT (Devlin et al., 2019).
The genealogical information covers the language family and the genus for each language.
For typological description of the pre-training languages, 36... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
716a2bec4f8024a8e47f2d59e17d824dd31712cf | # Contextualized Hate Speech: A dataset of comments in news outlets on Twitter
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper**: ["Assessing the impact of contextual information in hate speech detection"](https://arxiv.org/abs/2210.00465), Juan Manuel Pérez, Franco Luque, Demian Zayat, Martín Ko... | piuba-bigdata/contextualized_hate_speech | [
"task_categories:text-classification",
"size_categories:10K<n<100K",
"language:es",
"hate_speech",
"arxiv:2210.00465",
"region:us"
] | 2022-11-28T22:12:44+00:00 | {"language": ["es"], "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "pretty_name": "contextualized_hate_speech", "tags": ["hate_speech"]} | 2023-04-29T13:19:58+00:00 | [
"2210.00465"
] | [
"es"
] | TAGS
#task_categories-text-classification #size_categories-10K<n<100K #language-Spanish #hate_speech #arxiv-2210.00465 #region-us
| Contextualized Hate Speech: A dataset of comments in news outlets on Twitter
============================================================================
Dataset Description
-------------------
* Homepage:
* Repository:
* Paper: "Assessing the impact of contextual information in hate speech detection", Juan Manuel ... | [
"### Dataset Summary\n\n\n!Graphical representation of the dataset\nThis dataset is a collection of tweets that were posted in response to news articles from five specific Argentinean news outlets: Clarín, Infobae, La Nación, Perfil and Crónica, during the COVID-19 pandemic. The comments were analyzed for hate spee... | [
"TAGS\n#task_categories-text-classification #size_categories-10K<n<100K #language-Spanish #hate_speech #arxiv-2210.00465 #region-us \n",
"### Dataset Summary\n\n\n!Graphical representation of the dataset\nThis dataset is a collection of tweets that were posted in response to news articles from five specific Argen... | [
48,
160,
5
] | [
"passage: TAGS\n#task_categories-text-classification #size_categories-10K<n<100K #language-Spanish #hate_speech #arxiv-2210.00465 #region-us \n### Dataset Summary\n\n\n!Graphical representation of the dataset\nThis dataset is a collection of tweets that were posted in response to news articles from five specific Ar... |
6628c049aa8a40d342c62a2ae0ba1f58faf5c405 | # Dataset Card for "VALUE2_mnli_been_done"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_mnli_been_done | [
"region:us"
] | 2022-11-28T22:28:06+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 11563230, "num_examples": 48515}, {"name": "dev_matche... | 2022-11-28T22:28:28+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE2_mnli_been_done"
More Information needed | [
"# Dataset Card for \"VALUE2_mnli_been_done\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE2_mnli_been_done\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE2_mnli_been_done\"\n\nMore Information needed"
] |
cfdb34e465f9cc889acc3dada41dbadc719733b0 | # Dataset Card for "VALUE2_mnli_dey_it"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_mnli_dey_it | [
"region:us"
] | 2022-11-28T22:28:35+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 7643138, "num_examples": 33927}, {"name": "dev_matched... | 2022-11-28T22:28:58+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE2_mnli_dey_it"
More Information needed | [
"# Dataset Card for \"VALUE2_mnli_dey_it\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE2_mnli_dey_it\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE2_mnli_dey_it\"\n\nMore Information needed"
] |
dd7d5f26f4195e471f00be483db7deb336f9e4b3 | # Dataset Card for "VALUE2_mnli_drop_aux"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_mnli_drop_aux | [
"region:us"
] | 2022-11-28T22:29:12+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 16847569, "num_examples": 78157}, {"name": "dev_matche... | 2022-11-28T22:29:36+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE2_mnli_drop_aux"
More Information needed | [
"# Dataset Card for \"VALUE2_mnli_drop_aux\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE2_mnli_drop_aux\"\n\nMore Information needed"
] | [
6,
20
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE2_mnli_drop_aux\"\n\nMore Information needed"
] |
b34ff6bfd4c81026aa48e76648812bba17cc232e | # Dataset Card for "VALUE2_mnli_got"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_mnli_got | [
"region:us"
] | 2022-11-28T22:29:42+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 6007046, "num_examples": 25203}, {"name": "dev_matched... | 2022-11-28T22:30:04+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE2_mnli_got"
More Information needed | [
"# Dataset Card for \"VALUE2_mnli_got\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE2_mnli_got\"\n\nMore Information needed"
] | [
6,
18
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE2_mnli_got\"\n\nMore Information needed"
] |
358b94cbdd4f65b999d32dc3807816afee1e5ee1 | # Dataset Card for "VALUE2_mnli_lexical"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_mnli_lexical | [
"region:us"
] | 2022-11-28T22:30:54+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 69129827, "num_examples": 331784}, {"name": "dev_match... | 2022-11-28T22:31:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE2_mnli_lexical"
More Information needed | [
"# Dataset Card for \"VALUE2_mnli_lexical\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE2_mnli_lexical\"\n\nMore Information needed"
] | [
6,
19
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE2_mnli_lexical\"\n\nMore Information needed"
] |
04e2bb8e10dc939bf2c82d235e0aa0db5bd1fa01 | # Dataset Card for "VALUE2_mnli_negative_concord"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_mnli_negative_concord | [
"region:us"
] | 2022-11-28T22:31:29+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 11131248, "num_examples": 49529}, {"name": "dev_matche... | 2022-11-28T22:31:52+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE2_mnli_negative_concord"
More Information needed | [
"# Dataset Card for \"VALUE2_mnli_negative_concord\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE2_mnli_negative_concord\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE2_mnli_negative_concord\"\n\nMore Information needed"
] |
9bf26eb2f103ce19e86f77adfcefed06cefc35de | # Dataset Card for "VALUE2_mnli_negative_inversion"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_mnli_negative_inversion | [
"region:us"
] | 2022-11-28T22:31:55+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 140156, "num_examples": 658}, {"name": "dev_matched", ... | 2022-11-28T22:32:16+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE2_mnli_negative_inversion"
More Information needed | [
"# Dataset Card for \"VALUE2_mnli_negative_inversion\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE2_mnli_negative_inversion\"\n\nMore Information needed"
] | [
6,
22
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE2_mnli_negative_inversion\"\n\nMore Information needed"
] |
7747f47c99997ae544f53c5cef570a52c7c91ccb | # Dataset Card for "VALUE2_mnli_null_genetive"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_mnli_null_genetive | [
"region:us"
] | 2022-11-28T22:32:25+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 12248137, "num_examples": 50122}, {"name": "dev_matche... | 2022-11-28T22:32:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE2_mnli_null_genetive"
More Information needed | [
"# Dataset Card for \"VALUE2_mnli_null_genetive\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE2_mnli_null_genetive\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE2_mnli_null_genetive\"\n\nMore Information needed"
] |
903cbb0012e40483e512d0cc09d95daff583c1ea | # Dataset Card for "NDD_NER"
## Dataset Summary
This Named Entity Recognition dataset is created for Neurodevelopmental disorders domain to detected domain specific entities. Initially, pubmed abstracts were annotated
with SciSpaCy UMLS entity linker and specific semantic types were mapped to required domain specific l... | ManpreetK/NDD_NER | [
"region:us"
] | 2022-11-28T22:32:42+00:00 | {"viewer": true, "dataset_info": {"features": [{"name": "tokens", "sequence": "string"}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "I-CONDITION", "1": "I-TEST", "2": "B-CONDITION", "3": "I-PATIENT_GROUP", "4": "B-ASSOCIATED_PROBLEM", "5": "O", "6": "I-ASSOCIATED_PROBLEM", "7": "B-INTERVENTION", "... | 2022-12-24T21:58:17+00:00 | [] | [] | TAGS
#region-us
| Dataset Card for "NDD\_NER"
===========================
Dataset Summary
---------------
This Named Entity Recognition dataset is created for Neurodevelopmental disorders domain to detected domain specific entities. Initially, pubmed abstracts were annotated
with SciSpaCy UMLS entity linker and specific semantic typ... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
d25767c8e8c3dc54368933195d1d9689ab0009ba | # Dataset Card for "VALUE2_mnli_null_relcl"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_mnli_null_relcl | [
"region:us"
] | 2022-11-28T22:32:57+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 12182834, "num_examples": 45899}, {"name": "dev_matche... | 2022-11-28T22:33:19+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE2_mnli_null_relcl"
More Information needed | [
"# Dataset Card for \"VALUE2_mnli_null_relcl\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE2_mnli_null_relcl\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE2_mnli_null_relcl\"\n\nMore Information needed"
] |
a7a9b0641a60169615bf785996249bb50051397d | [Needs More Information]
# Dataset Card for Trains
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instan... | deancgarcia/cs4990_hw3 | [
"region:us"
] | 2022-11-28T22:33:11+00:00 | {} | 2022-11-30T03:14:44+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Trains
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- Consider... | [
"# Dataset Card for Trains",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive In... | [
"TAGS\n#region-us \n",
"# Dataset Card for Trains",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\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 - ... | [
6,
7,
112,
24,
112,
10,
5,
6,
6,
50,
5,
5,
7,
4,
10,
10,
5,
5,
9,
8,
8,
7,
8,
7,
5,
6,
6
] | [
"passage: TAGS\n#region-us \n# Dataset Card for Trains## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\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 - Per... |
51779a8032e8b08ef7eac4edbe504ae0adf51d49 | # Dataset Card for "VALUE2_mnli_uninflect"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_mnli_uninflect | [
"region:us"
] | 2022-11-28T22:33:39+00:00 | {"dataset_info": {"features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "score", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 29268351, "num_examples": 124447}, {"name": "dev_match... | 2022-11-28T22:34:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "VALUE2_mnli_uninflect"
More Information needed | [
"# Dataset Card for \"VALUE2_mnli_uninflect\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE2_mnli_uninflect\"\n\nMore Information needed"
] | [
6,
21
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE2_mnli_uninflect\"\n\nMore Information needed"
] |
5c387417ea0a13d09be6a0f111cefdfbf2e03c9d | # Dataset Card for "petitions_29-ds"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | eminecg/petitions_29-ds | [
"region:us"
] | 2022-11-29T00:08:53+00:00 | {"dataset_info": {"features": [{"name": "petition", "dtype": "string"}, {"name": "petition_length", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 30457698.3, "num_examples": 2475}, {"name": "validation", "num_bytes": 3384188.7, "num_examples": 275}], "download_size": 15645193, "dataset_size": 33841887.0... | 2022-11-29T00:08:59+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "petitions_29-ds"
More Information needed | [
"# Dataset Card for \"petitions_29-ds\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"petitions_29-ds\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"petitions_29-ds\"\n\nMore Information needed"
] |
f328d536425ae8fcac5d098c8408f437bffdd357 | # Dataset Card for "articles_and_comments"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | piuba-bigdata/articles_and_comments | [
"region:us"
] | 2022-11-29T01:25:15+00:00 | {"dataset_info": {"features": [{"name": "tweet_id", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "user", "dtype": "string"}, {"name": "body", "dtype": "string"}, {"name": "created_at", "dtype": "string"}, {"name": "comments",... | 2023-02-04T00:32:48+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "articles_and_comments"
More Information needed | [
"# Dataset Card for \"articles_and_comments\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"articles_and_comments\"\n\nMore Information needed"
] | [
6,
17
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"articles_and_comments\"\n\nMore Information needed"
] |
926412aac72105ba0ed868bf4d399cdea3180de3 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new... | autoevaluate/autoeval-staging-eval-project-1fbe7e90-eada-4d68-89d2-f46803a319c3-101100 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-29T05:47:49+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "... | 2022-11-29T05:48:28+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visit Hugging Face... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, vis... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Spli... | [
13,
89,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* S... |
753a3d855d0d2228a1aaa34b2e7a60a8739ae86d | # Dataset Card for "squad_validation_with_JJ_VB_synonyms"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | mlxen/squad_validation_with_JJ_VB_synonyms | [
"region:us"
] | 2022-11-29T06:06:25+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}], "splits": [{"name"... | 2022-11-29T21:29:40+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "squad_validation_with_JJ_VB_synonyms"
More Information needed | [
"# Dataset Card for \"squad_validation_with_JJ_VB_synonyms\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"squad_validation_with_JJ_VB_synonyms\"\n\nMore Information needed"
] | [
6,
26
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"squad_validation_with_JJ_VB_synonyms\"\n\nMore Information needed"
] |
d326c9b4f447291a11f134cf2e6dbd9f69fa24dc | # Dataset Card for "eclassTrainST"
This NLI-Dataset can be used to fine-tune Models for the task of sentence-simularity. It consists of names and descriptions of pump-properties from the ECLASS-standard. | JoBeer/eclassTrainST | [
"task_categories:sentence-similarity",
"size_categories:100K<n<1M",
"language:en",
"region:us"
] | 2022-11-29T07:05:17+00:00 | {"language": ["en"], "size_categories": ["100K<n<1M"], "task_categories": ["sentence-similarity"], "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "entailment", "dtype": "string"}, {"name": "contradiction", "dtype": "string"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "train... | 2023-01-07T12:10:51+00:00 | [] | [
"en"
] | TAGS
#task_categories-sentence-similarity #size_categories-100K<n<1M #language-English #region-us
| # Dataset Card for "eclassTrainST"
This NLI-Dataset can be used to fine-tune Models for the task of sentence-simularity. It consists of names and descriptions of pump-properties from the ECLASS-standard. | [
"# Dataset Card for \"eclassTrainST\"\n\nThis NLI-Dataset can be used to fine-tune Models for the task of sentence-simularity. It consists of names and descriptions of pump-properties from the ECLASS-standard."
] | [
"TAGS\n#task_categories-sentence-similarity #size_categories-100K<n<1M #language-English #region-us \n",
"# Dataset Card for \"eclassTrainST\"\n\nThis NLI-Dataset can be used to fine-tune Models for the task of sentence-simularity. It consists of names and descriptions of pump-properties from the ECLASS-standard.... | [
35,
59
] | [
"passage: TAGS\n#task_categories-sentence-similarity #size_categories-100K<n<1M #language-English #region-us \n# Dataset Card for \"eclassTrainST\"\n\nThis NLI-Dataset can be used to fine-tune Models for the task of sentence-simularity. It consists of names and descriptions of pump-properties from the ECLASS-standa... |
8d5519348babfa75b9222fb37891ff66ee0b0aab |
SOAP dataset Initial Version | biomegix/soap_inital | [
"license:apache-2.0",
"region:us"
] | 2022-11-29T07:33:15+00:00 | {"license": "apache-2.0"} | 2022-11-29T07:36:46+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
SOAP dataset Initial Version | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
0228595df3adbff7a03f84470702dccad7670c4e | This dataset is an unspotted version of the idrak dataset. | m-aliabbas/idrak_unsplitted | [
"region:us"
] | 2022-11-29T08:33:37+00:00 | {} | 2022-11-30T05:17:29+00:00 | [] | [] | TAGS
#region-us
| This dataset is an unspotted version of the idrak dataset. | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
b26b8416b9e750a4c47becf68ce1003e7b6de805 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new... | autoevaluate/autoeval-staging-eval-project-4c75f893-5bbd-4360-a0fd-dfda62c6960c-103102 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-29T08:41:24+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "... | 2022-11-29T08:42:03+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visit Hugging Face... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, vis... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Spli... | [
13,
89,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* S... |
ad27ccdbc20c6f9ca1ef7f90712d78d4ca5a5b91 | # Dataset Card for "cord-10k-processed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | SuperNova672/cord-10k-processed | [
"region:us"
] | 2022-11-29T08:45:59+00:00 | {"dataset_info": {"features": [{"name": "data", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 524148223, "num_examples": 695729}], "download_size": 275228391, "dataset_size": 524148223}} | 2022-11-29T08:46:09+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "cord-10k-processed"
More Information needed | [
"# Dataset Card for \"cord-10k-processed\"\n\nMore Information needed"
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"cord-10k-processed\"\n\nMore Information needed"
] | [
6,
16
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"cord-10k-processed\"\n\nMore Information needed"
] |
927b4b3fdd539334f3f15d7a5540f9b5d4a3fc2f | The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License.
Compared to the preprocessed version of Penn Treebank (PTB), WikiText-2 is ov... | DBL/test | [
"region:us"
] | 2022-11-29T08:48:08+00:00 | {} | 2022-11-29T09:50:20+00:00 | [] | [] | TAGS
#region-us
| The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License.
Compared to the preprocessed version of Penn Treebank (PTB), WikiText-2 is ov... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
0d9cb051a78ffe1c4c736a51de0f06251d295905 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new... | autoevaluate/autoeval-staging-eval-project-1eb4eb5e-abe1-49b9-90a0-e2c93c094b24-104103 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-29T09:06:28+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "... | 2022-11-29T09:07:05+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visit Hugging Face... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, vis... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Spli... | [
13,
89,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* S... |
ce0108bc56cbff2a37107e11918b20fa2e0fa13f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new... | autoevaluate/autoeval-staging-eval-project-cd279959-d310-4487-bd83-52389ad5ed20-107105 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-29T09:32:01+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "... | 2022-11-29T09:32:38+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visit Hugging Face... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, vis... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Spli... | [
13,
89,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* S... |
3ed42ff5f08a711e22399ab4c4ad8dd4e3dbf323 | # Dataset Card for "news_as2"
Answer Sentence Selection version of the NewsQA dataset. For more info, check out the original [repository](https://github.com/lucadiliello/answer-selection). | lucadiliello/news_as2 | [
"region:us"
] | 2022-11-29T11:19:38+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 316302353, "num_examples": 1840533}, {"name": "dev", "num_bytes": 8925506, "num_examples": 51844}, {"name": "test", "num_bytes": ... | 2022-11-29T11:26:06+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "news_as2"
Answer Sentence Selection version of the NewsQA dataset. For more info, check out the original repository. | [
"# Dataset Card for \"news_as2\"\n\nAnswer Sentence Selection version of the NewsQA dataset. For more info, check out the original repository."
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"news_as2\"\n\nAnswer Sentence Selection version of the NewsQA dataset. For more info, check out the original repository."
] | [
6,
36
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"news_as2\"\n\nAnswer Sentence Selection version of the NewsQA dataset. For more info, check out the original repository."
] |
e5fc7d683817bdf1e44d5c74daf6b110414bb843 | # Dataset Card for "trivia_as2"
Answer Sentence Selection version of the TriviaQA dataset. For more info, check out the original [repository](https://github.com/lucadiliello/answer-selection). | lucadiliello/trivia_as2 | [
"region:us"
] | 2022-11-29T11:20:09+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 419044714, "num_examples": 1843349}, {"name": "dev", "num_bytes": 26773779, "num_examples": 117012}, {"name": "test", "num_bytes"... | 2022-11-29T11:25:26+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "trivia_as2"
Answer Sentence Selection version of the TriviaQA dataset. For more info, check out the original repository. | [
"# Dataset Card for \"trivia_as2\"\n\nAnswer Sentence Selection version of the TriviaQA dataset. For more info, check out the original repository."
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"trivia_as2\"\n\nAnswer Sentence Selection version of the TriviaQA dataset. For more info, check out the original repository."
] | [
6,
38
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"trivia_as2\"\n\nAnswer Sentence Selection version of the TriviaQA dataset. For more info, check out the original repository."
] |
2971b1559b67e28d19d9ff76c3ea52b67a6993c5 | # Dataset Card for "search_as2"
Answer Sentence Selection version of the SearchQA dataset. For more info, check out the original [repository](https://github.com/lucadiliello/answer-selection). | lucadiliello/search_as2 | [
"region:us"
] | 2022-11-29T11:20:42+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 758023208, "num_examples": 3281909}, {"name": "dev", "num_bytes": 55656603, "num_examples": 236360}, {"name": "test", "num_bytes"... | 2022-11-29T11:25:45+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "search_as2"
Answer Sentence Selection version of the SearchQA dataset. For more info, check out the original repository. | [
"# Dataset Card for \"search_as2\"\n\nAnswer Sentence Selection version of the SearchQA dataset. For more info, check out the original repository."
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"search_as2\"\n\nAnswer Sentence Selection version of the SearchQA dataset. For more info, check out the original repository."
] | [
6,
36
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"search_as2\"\n\nAnswer Sentence Selection version of the SearchQA dataset. For more info, check out the original repository."
] |
151915540eb243def7f837e08d9ea651e5da8cfd | # Dataset Card for "hotpot_as2"
Answer Sentence Selection version of the HotpotQA dataset. For more info, check out the original [repository](https://github.com/lucadiliello/answer-selection). | lucadiliello/hotpot_as2 | [
"region:us"
] | 2022-11-29T11:21:40+00:00 | {"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 132583963, "num_examples": 489238}, {"name": "dev", "num_bytes": 6483895, "num_examples": 25295}, {"name": "test", "num_bytes": 6... | 2022-11-29T11:24:51+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for "hotpot_as2"
Answer Sentence Selection version of the HotpotQA dataset. For more info, check out the original repository. | [
"# Dataset Card for \"hotpot_as2\"\n\nAnswer Sentence Selection version of the HotpotQA dataset. For more info, check out the original repository."
] | [
"TAGS\n#region-us \n",
"# Dataset Card for \"hotpot_as2\"\n\nAnswer Sentence Selection version of the HotpotQA dataset. For more info, check out the original repository."
] | [
6,
38
] | [
"passage: TAGS\n#region-us \n# Dataset Card for \"hotpot_as2\"\n\nAnswer Sentence Selection version of the HotpotQA dataset. For more info, check out the original repository."
] |
31f2cdc6bff5ad6def58e07d3c3549dc393bc086 |
# Dataset Card for CONDA
## Table of Contents
- [Dataset Description](#dataset-description)
- [Abstract](#dataset-summary)
- [Leaderboards](#leaderboards)
- [Evaluation Metrics](#evaluation-metrics)
- [Languages](#languages)
- [Video](#video)
- [Citation Information](#citation-information)
## Dataset Description
... | Matrix430/CONDA | [
"task_categories:text-classification",
"task_categories:token-classification",
"task_ids:intent-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:afl-... | 2022-11-29T12:16:34+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["afl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification", "token-classification"], "task_ids": ["intent-clas... | 2022-11-30T07:03:52+00:00 | [
"2106.06213"
] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-token-classification #task_ids-intent-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-afl-3.0 #CONDA #arxiv-2106.06213 #... |
# Dataset Card for CONDA
## Table of Contents
- Dataset Description
- Abstract
- Leaderboards
- Evaluation Metrics
- Languages
- Video
- Citation Information
## Dataset Description
- Homepage: CONDA
- Paper: CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection
- Point of Co... | [
"# Dataset Card for CONDA",
"## Table of Contents\n- Dataset Description\n- Abstract\n- Leaderboards\n - Evaluation Metrics\n- Languages\n- Video\n- Citation Information",
"## Dataset Description\n\n- Homepage: CONDA\n- Paper: CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and de... | [
"TAGS\n#task_categories-text-classification #task_categories-token-classification #task_ids-intent-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-afl-3.0 #CONDA #arxiv-2106.0... | [
113,
7,
30,
45,
263,
16,
127,
4,
36
] | [
"passage: TAGS\n#task_categories-text-classification #task_categories-token-classification #task_ids-intent-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-afl-3.0 #CONDA #arx... |
07fbd698096ce94df0047ad32da4623ac9bf5a9e | license: MIT
---
---
This is a Knollingbox embedding for SD2 768-v-ema.ckpt
This is my first public embedding.
Included are two versions of the embedding kbox-500 and xbox1000
![small city building inside glass case](https://cdn.discordapp.com/attachments/1045349359044280360/1047121292752588820/04911-2385753755-a_s... | Rocinante2000/knollingbox | [
"region:us"
] | 2022-11-29T12:42:52+00:00 | {} | 2022-11-29T13:30:15+00:00 | [] | [] | TAGS
#region-us
| license: MIT
---
---
This is a Knollingbox embedding for SD2 URL
This is my first public embedding.
Included are two versions of the embedding kbox-500 and xbox1000
!small city building inside glass case
!Bonjai tree inside a glass box
!Bonjai tree inside a glass box
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.