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9660f10339cfc46a369a4d95fccb301a739c3fa8 |
# Dataset Card for Flores200
## Table of Contents
- [Dataset Card for Flores200](#dataset-card-for-flores200)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboard... | Muennighoff/flores200 | [
"task_categories:text2text-generation",
"task_categories:translation",
"annotations_creators:found",
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"multilinguality:multilingual",
"multilinguality:translation",
"size_categories:unknown",
"source_datasets:extended|flores",
"language:ace",
"language:acm",
... | 2022-07-17T07:11:54+00:00 | {"annotations_creators": ["found"], "language_creators": ["expert-generated"], "language": ["ace", "acm", "acq", "aeb", "afr", "ajp", "aka", "als", "amh", "apc", "arb", "ars", "ary", "arz", "asm", "ast", "awa", "ayr", "azb", "azj", "bak", "bam", "ban", "bel", "bem", "ben", "bho", "bjn", "bod", "bos", "bug", "bul", "cat... | 2024-01-07T18:12:19+00:00 | [
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==========================
Table of Contents
-----------------
* Dataset Card for Flores200
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Datase... | [
"### Dataset Summary\n\n\nFLORES is a benchmark dataset for machine translation between English and low-resource languages.\n\n\n\n> \n> The creation of FLORES200 doubles the existing language coverage of FLORES-101.\n> Given the nature of the new languages, which have less standardization and require\n> more speci... | [
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85b9612b440ac0158d5722d0d45b849a012468ec |
Opensource DataSet form a Kaggle competition https://www.kaggle.com/datasets/andreibuliga1/gdpr-fines-20182020-updated-23012021
GDPR-fines is a dataset with summary of GDPR cases from companies that were find between 2018 and 2021. You will find the summary plus the Articles violated in the cases (3 most importants +... | Maxmioti/GDRP-fines | [
"license:other",
"region:us"
] | 2022-07-17T08:57:46+00:00 | {"license": "other"} | 2022-07-17T09:03:34+00:00 | [] | [] | TAGS
#license-other #region-us
|
Opensource DataSet form a Kaggle competition URL
GDPR-fines is a dataset with summary of GDPR cases from companies that were find between 2018 and 2021. You will find the summary plus the Articles violated in the cases (3 most importants + "Others" regrouping the rest of articles).
Raw text and lemmatized text avail... | [] | [
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20aac0fbc008c17c735fe27c2eb410edbdc84381 |
# Dataset Summary
The Great Books dataset is a set of texts based on the [St. John's College Great Books Program](https://www.sjc.edu/academic-programs/undergraduate/classes/seminar/annapolis-undergraduate-readings). It includes 83 works from authors on the Program. | erikanesse/great_books | [
"license:unlicense",
"region:us"
] | 2022-07-17T11:59:45+00:00 | {"license": "unlicense"} | 2022-07-17T12:47:12+00:00 | [] | [] | TAGS
#license-unlicense #region-us
|
# Dataset Summary
The Great Books dataset is a set of texts based on the St. John's College Great Books Program. It includes 83 works from authors on the Program. | [
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e98b9216f60fc8dbabfe766e014534a08ff01949 |
## XWinograd
Multilingual winograd schema challenge as used in [Crosslingual Generalization through Multitask Finetuning](https://arxiv.org/abs/2211.01786).
### Languages & Samples
- "en": 2325
- "fr": 83
- "jp": 959
- "pt": 263
- "ru": 315
- "zh": 504
### Dataset creation
The Winograd schema challenges in this ... | Muennighoff/xwinograd | [
"language:en",
"language:fr",
"language:ja",
"language:pt",
"language:ru",
"language:zh",
"license:cc-by-4.0",
"arxiv:2211.01786",
"arxiv:2106.12066",
"region:us"
] | 2022-07-17T14:20:09+00:00 | {"language": ["en", "fr", "ja", "pt", "ru", "zh"], "license": "cc-by-4.0"} | 2023-07-07T07:27:03+00:00 | [
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|
## XWinograd
Multilingual winograd schema challenge as used in Crosslingual Generalization through Multitask Finetuning.
### Languages & Samples
- "en": 2325
- "fr": 83
- "jp": 959
- "pt": 263
- "ru": 315
- "zh": 504
### Dataset creation
The Winograd schema challenges in this dataset combine winograd schemas fro... | [
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787af29673533c61886956a44fb0093850abed52 |
# Dataset Card for OpenFire
## 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-structur... | pyronear/openfire | [
"task_categories:image-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"size_categories:1K<n<10K",
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"license:apache-2.0",
"region:us"
] | 2022-07-17T15:11:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": [], "license": ["apache-2.0"], "multilinguality": [], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["image-classification"], "task_ids": [], "pretty_name": "Wildfire image classification... | 2022-12-11T22:25:43+00:00 | [] | [] | TAGS
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|
# Dataset Card for OpenFire
## 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
- Persona... | [
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3f8fe90b59fe1958fe39583b5d74e398d882f1ed | # Dataset Card for clmet_3_1
**NOTES**:
- Some of the annotations in the `class` and `pos` configs are not properly formed. These are indicated with warning messages when the dataset is loaded.
- In addition to the classes mentioned in the README for the dataset, there is an additional class in the `class` dataset c... | biglam/clmet_3_1 | [
"task_categories:text-classification",
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"size_categorie... | 2022-07-17T22:27:04+00:00 | {"annotations_creators": ["expert-generated", "machine-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text-classification", "fill-mask"], "task_ids": ["mu... | 2022-07-18T01:14:38+00:00 | [] | [
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============================
NOTES:
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* In addition to the classes mentioned in the README for the dataset, there is an additional clas... | [
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9baf6183ae9aeecfd261cb36f0d001e90bc77c57 |
# PubLayNet
PubLayNet is a large dataset of document images, of which the layout is annotated with both bounding boxes and polygonal segmentations. The source of the documents is [PubMed Central Open Access Subset (commercial use collection)](https://www.ncbi.nlm.nih.gov/pmc/tools/openftlist/). The annotations are au... | jordanparker6/publaynet | [
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"language:en",
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"arxiv:1908.07836",
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] | 2022-07-17T22:32:26+00:00 | {"annotations_creators": [], "language": ["en"], "license": "other", "size_categories": ["100B<n<1T"], "source_datasets": [], "task_categories": ["image-to-text"], "task_ids": [], "title": "PubLayNet"} | 2022-07-19T03:20:00+00:00 | [
"1908.07836"
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|
# PubLayNet
PubLayNet is a large dataset of document images, of which the layout is annotated with both bounding boxes and polygonal segmentations. The source of the documents is PubMed Central Open Access Subset (commercial use collection). The annotations are automatically generated by matching the PDF format and t... | [
"# PubLayNet\n\nPubLayNet is a large dataset of document images, of which the layout is annotated with both bounding boxes and polygonal segmentations. The source of the documents is PubMed Central Open Access Subset (commercial use collection). The annotations are automatically generated by matching the PDF format... | [
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a8a496123b40fa739da2acf9b0dae339d30c7bae |
# Dataset Card for Imagenette
## 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-struct... | frgfm/imagenette | [
"task_categories:image-classification",
"annotations_creators:crowdsourced",
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"size_categories:1K<n<10K",
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"language:en",
"license:apache-2.0",
"region:us"
] | 2022-07-17T23:13:35+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": [], "size_categories": ["1K<n<10K"], "source_datasets": ["extended"], "task_categories": ["image-classification"], "task_ids": [], "paperswithcode_id": "imagenette", "prett... | 2022-12-11T22:26:06+00:00 | [] | [
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| Dataset Card for Imagenette
===========================
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
+ So... | [
"### Dataset Summary\n\n\nA smaller subset of 10 easily classified classes from Imagenet, and a little more French.\nThis dataset was created by Jeremy Howard, and this repository is only there to share his work on this platform. The repository owner takes no credit of any kind in the creation, curation or packagin... | [
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06bc381446b3c3cb1faaa56c5575c71f101e286a |
# Dataset Card for "tner/btc"
## Dataset Description
- **Repository:** [T-NER](https://github.com/asahi417/tner)
- **Paper:** [https://aclanthology.org/C16-1111/](https://aclanthology.org/C16-1111/)
- **Dataset:** Broad Twitter Corpus
- **Domain:** Twitter
- **Number of Entity:** 3
### Dataset Summary
Broad Twitte... | tner/btc | [
"task_categories:token-classification",
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"size_categories:1k<10K",
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] | 2022-07-18T09:38:50+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1k<10K"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "BTC"} | 2022-11-27T19:07:36+00:00 | [] | [
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#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #size_categories-1k<10K #language-English #license-other #region-us
| Dataset Card for "tner/btc"
===========================
Dataset Description
-------------------
* Repository: T-NER
* Paper: URL
* Dataset: Broad Twitter Corpus
* Domain: Twitter
* Number of Entity: 3
### Dataset Summary
Broad Twitter Corpus NER dataset formatted in a part of TNER project.
* Entity Types: 'LO... | [
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"### Label ID\n\n\nThe label2id dictionary can be found at here.... | [
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cb0fecb243a95034376387309fe8c03f8bf74aee |
# Dataset Card for "tner/tweebank_ner"
## Dataset Description
- **Repository:** [T-NER](https://github.com/asahi417/tner)
- **Paper:** [https://arxiv.org/abs/2201.07281](https://arxiv.org/abs/2201.07281)
- **Dataset:** TweeBank NER
- **Domain:** Twitter
- **Number of Entity:** 4
### Dataset Summary
TweeBank NER da... | tner/tweebank_ner | [
"task_categories:token-classification",
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] | 2022-07-18T09:39:20+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1k<10K"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "TweeBank NER"} | 2022-11-27T20:59:13+00:00 | [
"2201.07281"
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#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #size_categories-1k<10K #language-English #license-other #arxiv-2201.07281 #region-us
| Dataset Card for "tner/tweebank\_ner"
=====================================
Dataset Description
-------------------
* Repository: T-NER
* Paper: URL
* Dataset: TweeBank NER
* Domain: Twitter
* Number of Entity: 4
### Dataset Summary
TweeBank NER dataset formatted in a part of TNER project.
* Entity Types: 'LO... | [
"### Dataset Summary\n\n\nTweeBank NER dataset formatted in a part of TNER project.\n\n\n* Entity Types: 'LOC', 'MISC', 'PER', 'ORG'\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nAn example of 'train' looks as follows.",
"### Label ID\n\n\nThe label2id dictionary can be found at here.",
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9d9c27f1d4fb18a02e0d8283bac6ebb01c56c458 |
# Dataset Card for "tner/tweetner7"
## Dataset Description
- **Repository:** [https://github.com/asahi417/tner/tree/master/examples/tweetner7_paper](https://github.com/asahi417/tner/tree/master/examples/tweetner7_paper)
- **Paper:** [https://arxiv.org/abs/2210.03797](https://arxiv.org/abs/2210.03797)
- **Dataset:** ... | tner/tweetner7 | [
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#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #size_categories-1k<10K #language-English #license-other #arxiv-2210.03797 #region-us
| Dataset Card for "tner/tweetner7"
=================================
Dataset Description
-------------------
* Repository: URL
* Paper: URL
* Dataset: TweetNER7
* Domain: Twitter
* Number of Entity: 7
### Dataset Summary
This is the official repository of TweetNER7 ("Named Entity Recognition in Twitter:
A Datase... | [
"### Dataset Summary\n\n\nThis is the official repository of TweetNER7 (\"Named Entity Recognition in Twitter:\nA Dataset and Analysis on Short-Term Temporal Shifts, AACL main conference 2022\"), an NER dataset on Twitter with 7 entity labels. Each instance of TweetNER7 comes with a timestamp which distributes from... | [
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5bc51fd7d10388377950fee5a9612482d279e189 | Top 20 hits for queries from training data in "MS-MARCO v2 passage" by Lucene Searcher (using pyserini)
hits@20 0.1957
See also : https://github.com/castorini/pyserini/blob/master/docs/prebuilt-indexes.md
For java11 installation in linux : https://stackoverflow.com/questions/52504825/how-to-install-jdk-11-under-u... | Doohae/marcopolo-v2-passage | [
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#region-us
| Top 20 hits for queries from training data in "MS-MARCO v2 passage" by Lucene Searcher (using pyserini)
hits@20 0.1957
See also : URL
For java11 installation in linux : URL
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a3c510486e8715aeb27ffb9e3846d2a6ca0f3500 |
# Dataset Card for MSLR2022
## Table of Contents
- [Dataset Card for MSLR2022](#dataset-card-for-mslr2022)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
... | allenai/mslr2022 | [
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"source_datasets:extended|other-MS^2",
"source_datasets:extended|other-Cochrane",
"lang... | 2022-07-18T15:24:24+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|other-MS^2", "extended|other-Cochrane"], "task_categories": ["summarization", "tex... | 2022-11-18T21:16:10+00:00 | [] | [
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=========================
Table of Contents
-----------------
* Dataset Card for MSLR2022
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
- Data Fields
- Data Splits
+ Dataset Cr... | [
"### Dataset Summary\n\n\nThe Multidocument Summarization for Literature Review (MSLR) Shared Task aims to study how medical evidence from different clinical studies are summarized in literature reviews. Reviews provide the highest quality of evidence for clinical care, but are expensive to produce manually. (Semi-... | [
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db53cfec44e55e89ad01a01e1e75e5619d7be909 | # Dataset Card for yaakov/wikipedia-de-splits
## Dataset Description
The only goal of this dataset is to have random German Wikipedia articles at
various dataset sizes: Small datasets for fast development and large datasets for statistically relevant measurements.
For this purpose, I loaded the 2665357 articles in t... | yaakov/wikipedia-de-splits | [
"task_categories:text-generation",
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"size_categor... | 2022-07-18T15:50:25+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["de"], "license": ["cc-by-sa-3.0", "gfdl"], "size_categories": ["n<1K", "1K<n<10K", "10K<n<100K", "100K<n<1M", "1M<n<10M"], "source_datasets": ["wikipedia"], "task_categories": ["text-generation", "fill-mask"], "task_ids": [... | 2022-07-18T17:28:34+00:00 | [] | [
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## Dataset Description
The only goal of this dataset is to have random German Wikipedia articles at
various dataset sizes: Small datasets for fast development and large datasets for statistically relevant measurements.
For this purpose, I loaded the 2665357 articles in t... | [
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9bdb7aefc0244fafa68e2ea3543d5068335296e1 | # Dataset Card for "relbert/semeval2012_relational_similarity"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://aclanthology.org/S12-1047/](https://aclanthology.org/S12-1047/)
- **Dataset:** SemEval2012: Relational Similarity
### Dataset Summary
Relational s... | research-backup/semeval2012_relational_similarity | [
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"license:other",
"region:us"
] | 2022-07-18T16:59:33+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "pretty_name": "SemEval2012 task 2 Relational Similarity"} | 2022-07-20T17:56:37+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-other #region-us
| Dataset Card for "relbert/semeval2012\_relational\_similarity"
==============================================================
Dataset Description
-------------------
* Repository: RelBERT
* Paper: URL
* Dataset: SemEval2012: Relational Similarity
### Dataset Summary
Relational similarity dataset from SemEval201... | [
"### Dataset Summary\n\n\nRelational similarity dataset from SemEval2012 task 2, compiled to fine-tune RelBERT model.\nThe dataset contains a list of positive and negative word pair from 89 pre-defined relations.\nThe relation types are constructed on top of following 10 parent relation types.\n\n\nEach of the pare... | [
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d607d2b6dbe4cf86623fa542bc6d696e10ec3799 |
# Dataset Card for "relbert/analogy_questions"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://aclanthology.org/2021.acl-long.280/](https://aclanthology.org/2021.acl-long.280/)
- **Dataset:** Analogy Questions
### Dataset Summary
This dataset contains 5 di... | relbert/analogy_questions | [
"multilinguality:monolingual",
"size_categories:n<1K",
"language:en",
"license:other",
"region:us"
] | 2022-07-18T17:01:16+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "pretty_name": "Analogy Question"} | 2023-05-16T19:24:12+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-n<1K #language-English #license-other #region-us
| Dataset Card for "relbert/analogy\_questions"
=============================================
Dataset Description
-------------------
* Repository: RelBERT
* Paper: URL
* Dataset: Analogy Questions
### Dataset Summary
This dataset contains 5 different word analogy questions used in Analogy Language Model.
* ori... | [
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d81b8291e5998f5726ab7f35a0a557e761532aac |
# Dataset Card for Mostly Basic Python Problems (mbpp)
## Table of Contents
- [Dataset Card for Mostly Basic Python Problems (mbpp)](#dataset-card-for-mostly-basic-python-problems-(mbpp))
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summa... | Muennighoff/mbpp | [
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"language:en",
"license:c... | 2022-07-18T18:05:21+00:00 | {"annotations_creators": ["crowdsourced", "expert-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text2text-generation"], "task_ids... | 2022-10-20T18:43:58+00:00 | [
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# Dataset Card for Mostly Basic Python Problems (mbpp)
## Table of Contents
- Dataset Card for Mostly Basic Python Problems (mbpp))
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
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c692cd0d633f0a920eb45833ec64f748b9e7ca72 | # Description
This dataset is a subset of [https://huggingface.co/datasets/librispeech_asr](LibriSpeech) that has been adversarially modified. It is designed to fool ASR models into predicting a target of our choosing instead of the correct output.
## Splits
The dataset contains several splits. Each split consists of ... | RaphaelOlivier/librispeech_asr_adversarial | [
"region:us"
] | 2022-07-18T18:08:15+00:00 | {} | 2022-08-02T23:02:08+00:00 | [] | [] | TAGS
#region-us
| Description
===========
This dataset is a subset of URL that has been adversarially modified. It is designed to fool ASR models into predicting a target of our choosing instead of the correct output.
Splits
------
The dataset contains several splits. Each split consists of the same utterances, modified with diffe... | [] | [
"TAGS\n#region-us \n"
] | [
6
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db08ee5f909bebfadfdee104a5653078574e8602 | # 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 Image Classification
* Model: rajistics/finetuned-indian-food
* Dataset: rajistics/indian_food_images
* Config: rajistics... | autoevaluate/autoeval-staging-eval-project-rajistics__indian_food_images-7f4d71b4-11165495 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-18T19:02:31+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["rajistics/indian_food_images"], "eval_info": {"task": "image_multi_class_classification", "model": "rajistics/finetuned-indian-food", "metrics": [], "dataset_name": "rajistics/indian_food_images", "dataset_config": "rajistics--indian_food_images... | 2022-07-18T19:03:52+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 Image Classification
* Model: rajistics/finetuned-indian-food
* Dataset: rajistics/indian_food_images
* Config: rajistics--indian_food_images
* Split: test
... | [
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dac358f5f9e237b2670b04bf261c3c200326257d | # 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-base-16384-booksum-V11
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: t... | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-7d55fc88-11175496 | [
"autotrain",
"evaluation",
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#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-base-16384-booksum-V11
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluation jobs, vis... | [
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24b7cc19e0ca633cccf49ad39a42e8feca1ac4d1 | # Dataset Card for lampeter_corpus
## 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 Fi... | biglam/lampeter_corpus | [
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"license:cc-by-sa-... | 2022-07-18T20:33:13+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-sa-3.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-label-classification", "multi-cla... | 2022-09-15T14:52:46+00:00 | [] | [
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| # Dataset Card for lampeter_corpus
## 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
- C... | [
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017c5c5cada61bfacf5431573b0d054d7a9ce6c6 |
# Dataset Card for NLLB Multi-Domain
## Table of Contents
- [Dataset Card for NLLB Multi-Domain](#dataset-card-for-nllb-multi-domain)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#support... | breakend/nllb-multi-domain | [
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==================================
Table of Contents
-----------------
* Dataset Card for NLLB Multi-Domain
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
- Data Fields
... | [
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7cf9edbb26f77e278980a0a7274c9b9cfe736a0a | # 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: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, ... | autoevaluate/autoeval-staging-eval-project-samsum-e4148a42-11205497 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-18T22:40:35+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "pszemraj/led-large-book-summary", "metrics": ["perplexity"], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dialogue", "target": ... | 2022-07-18T23:46:59+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: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic model... | [
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ad38a8b3a538f495d14beab585c71d704249645b | # 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-pubmed-3k-booksum-16384-WIP
* Dataset: samsum
* Config: samsum
* Split: test
T... | autoevaluate/autoeval-staging-eval-project-samsum-e4148a42-11205498 | [
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#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-pubmed-3k-booksum-16384-WIP
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hug... | [
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7c2e7e455a7a832656bcc0fb0e299e2af85f9778 | label_ids:
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- (2) entailment | gorkaartola/ZS-train_SDG_Descriptions_S1-sentence_S2-SDGtitle_Negative_Sample_Filter-All | [
"region:us"
] | 2022-07-19T10:14:23+00:00 | {} | 2022-09-06T13:45:08+00:00 | [] | [] | TAGS
#region-us
| label_ids:
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- (2) entailment | [] | [
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2f101624310c129a6303a1f4f3df70a191357911 | label_ids:
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- (2) entailment | gorkaartola/ZS-train_SDG_Descriptions_S1-sentence_S2-SDGtitle_Negative_Sample_Filter-None | [
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| label_ids:
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7b02284135e8ef3867e5fc168f9bbb9cbd355335 | label_ids:
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- (2) entailment | gorkaartola/ZS-train_SDG_Descriptions_S1-sentence_S2-SDGtitle_Negative_Sample_Filter-Only_Title | [
"region:us"
] | 2022-07-19T10:25:09+00:00 | {} | 2022-09-06T13:48:25+00:00 | [] | [] | TAGS
#region-us
| label_ids:
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- (2) entailment | [] | [
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aa7465b952ba969304d1a6b8f32b7bbb00873fbb | # 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/extractive-question-answering
* Dataset: squad
* Config: plain_text
* Split: validation
To ... | autoevaluate/autoeval-staging-eval-project-f9efad07-2209-4d77-9230-9fd08f3882ea-41 | [
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] | 2022-07-19T10:46:16+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "autoevaluate/extractive-question-answering", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"contex... | 2022-07-19T13:25:37+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/extractive-question-answering
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Huggi... | [
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cde78f02852c8d40801626a4e54802f560797583 |
# Dataset Card for dummy_tags | albertvillanova/dummy_tags | [
"language:en",
"test",
"dummy",
"region:us"
] | 2022-07-19T11:43:29+00:00 | {"language": ["en"], "tags": ["test", "dummy"]} | 2022-07-19T11:45:12+00:00 | [] | [
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#language-English #test #dummy #region-us
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f7f915d4676a984516b6dc1a6a898852d81e4b40 |
this is a test | liyangbing/water | [
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"region:us"
] | 2022-07-19T11:51:21+00:00 | {"license": "afl-3.0"} | 2022-07-19T12:11:13+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
|
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6d8a794fba6e00890cdb0dffba4e1cc5edc52664 | label_ids:
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- (2) entailment | gorkaartola/ZS-train_SDG_Descriptions_S1-sentence_S2-SDGtitle_Negative_Sample_Filter-Only_Targets | [
"region:us"
] | 2022-07-19T11:59:16+00:00 | {} | 2022-09-06T13:51:18+00:00 | [] | [] | TAGS
#region-us
| label_ids:
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- (2) entailment | [] | [
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43610fc18d73da3c4af78813f71b1c3c70c2dc44 | label_ids:
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- (2) entailment | gorkaartola/ZS-train_SDG_Descriptions_S1-sentence_S2-SDGtitle_Negative_Sample_Filter-Only_Indicators | [
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] | 2022-07-19T12:03:15+00:00 | {} | 2022-09-06T13:43:39+00:00 | [] | [] | TAGS
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6ca901142522d395700127df0deed52dde59816c | nli-label:
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- (2) contradiction | gorkaartola/SC-train-valid-test_SDG-Descriptions | [
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] | 2022-07-19T12:23:45+00:00 | {} | 2023-01-18T13:58:15+00:00 | [] | [] | TAGS
#region-us
| nli-label:
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7aa921ee95641df5965f5589fdfd1a7426296547 |
# Dataset description
This dataset consists of sequences of Python code followed by a a docstring explaining its function. It was constructed by concatenating code and text pairs
from this [dataset](https://huggingface.co/datasets/codeparrot/github-jupyter-text-code-pairs) that were originally code and markdown cells... | codeparrot/github-jupyter-code-to-text | [
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] | 2022-07-19T13:00:45+00:00 | {"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "tags": ["code"]} | 2023-11-04T23:51:23+00:00 | [] | [
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# Dataset description
This dataset consists of sequences of Python code followed by a a docstring explaining its function. It was constructed by concatenating code and text pairs
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# How to... | [
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802411c3010cb00d1b05bad57ca77365a3c699d6 |
# Dataset Card for CodeContests
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instance... | deepmind/code_contests | [
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| Dataset Card for CodeContests
=============================
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
+ Ann... | [
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7a73e5c5d9569f29a92fc65be56c3908ec280419 | # Dataset Card for "relbert/conceptnet_high_confidence"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://home.ttic.edu/~kgimpel/commonsense.html](https://home.ttic.edu/~kgimpel/commonsense.html)
- **Dataset:** High Confidence Subset of ConceptNet
### Dataset... | research-backup/conceptnet_high_confidence | [
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"license:other",
"region:us"
] | 2022-07-19T18:26:12+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "pretty_name": "ConceptNet with High Confidence"} | 2022-09-20T00:13:24+00:00 | [] | [
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] | TAGS
#multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-other #region-us
| Dataset Card for "relbert/conceptnet\_high\_confidence"
=======================================================
Dataset Description
-------------------
* Repository: RelBERT
* Paper: URL
* Dataset: High Confidence Subset of ConceptNet
### Dataset Summary
The selected subset of ConceptNet used in this work, whic... | [
"### Dataset Summary\n\n\nThe selected subset of ConceptNet used in this work, which compiled\nto fine-tune RelBERT model.\n\n\nDataset Structure\n-----------------",
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"### Data Splits",
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41b8a9a3b3f7aab40340b983c8fd852240cf5fc5 | # Dataset Card for "relbert/conceptnet"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://ojs.aaai.org/index.php/AAAI/article/view/11164](https://ojs.aaai.org/index.php/AAAI/article/view/11164)
- **Dataset:** ConceptNet5
### Dataset Summary
ConceptNet5, which... | research-backup/conceptnet | [
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"language:en",
"license:other",
"region:us"
] | 2022-07-19T18:27:44+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "pretty_name": "ConceptNet"} | 2022-07-26T09:24:35+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-other #region-us
| Dataset Card for "relbert/conceptnet"
=====================================
Dataset Description
-------------------
* Repository: RelBERT
* Paper: URL
* Dataset: ConceptNet5
### Dataset Summary
ConceptNet5, which compiled to fine-tune RelBERT model.
Dataset Structure
-----------------
### Data Instances
A... | [
"### Dataset Summary\n\n\nConceptNet5, which compiled to fine-tune RelBERT model.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nAn example of 'train' looks as follows.",
"### Data Splits",
"### Number of Positive/Negative Word-pairs in each Split"
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"### Data Instances\n\n\nAn example of 'train' looks as follows.",
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c5cd49c2881afa3525bbf9298f503934f3805f5c | # Dataset Card for lancaster_newsbooks
## 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)
- [Dat... | biglam/lancaster_newsbooks | [
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:en",
"license:cc-by-sa-3.0",
"newsbooks",
"1654",
"lancaster",
"oxford text",
"region:us"
] | 2022-07-19T18:48:58+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-sa-3.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": [], "task_ids": [], "pretty_name": "Lancaster Newsbooks", "tags": [... | 2022-08-18T15:03:54+00:00 | [] | [
"en"
] | TAGS
#annotations_creators-no-annotation #language_creators-expert-generated #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-cc-by-sa-3.0 #newsbooks #1654 #lancaster #oxford text #region-us
| # Dataset Card for lancaster_newsbooks
## 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... | [
"# Dataset Card for lancaster_newsbooks",
"## 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... | [
"TAGS\n#annotations_creators-no-annotation #language_creators-expert-generated #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-cc-by-sa-3.0 #newsbooks #1654 #lancaster #oxford text #region-us \n",
"# Dataset Card for lancaster_newsbooks",
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6c18754cc3af5656edef386b34f37ef496788a33 | # 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-base-16384-booksum-V11
* Dataset: samsum
* Config: samsum
* Split: test
To run new e... | autoevaluate/autoeval-staging-eval-project-samsum-7328461a-11225503 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-19T20:48:49+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-booksum-V11", "metrics": ["perplexity"], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dialo... | 2022-07-19T21:01:15+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-base-16384-booksum-V11
* Dataset: samsum
* Config: samsum
* 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: Summarization\n* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11\n* Dataset: samsum\n* Config: samsum\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: Summarization\n* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11\n* Dataset: samsum\n* Config: samsum\n* ... | [
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97d2dd14602e380348a4f29f4441e70a01858e1f | # 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-base-16384-booksum-V11
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run... | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-73f27c66-11235504 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-19T20:54:14+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-booksum-V11", "metrics": ["perplexity"], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"... | 2022-07-21T04:32:04+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-base-16384-booksum-V11
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging ... | [
"# 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-base-16384-booksum-V11\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-base-16384-booksum-V11\n* Dataset: cnn_dailymail\n* Config: 3.0... | [
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0a6c80f0a7934f718fcc0d7b2f22fdf9440b231f | ## Donut 🍩 : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets
For more information, please visit https://github.com/clovaai/donut
The links to the SynthDoG-generated datasets are here:
- [`synthdog-... | naver-clova-ix/synthdog-zh | [
"region:us"
] | 2022-07-19T23:42:55+00:00 | {} | 2024-01-31T23:56:24+00:00 | [] | [] | TAGS
#region-us
| ## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets
For more information, please visit URL
!image
The links to the SynthDoG-generated datasets are here:
- 'synthdog-en': English, 0.5M.
- 'synthdog-zh': Chinese, 0.5M.
- 'synthdog-ja': Japanese, 0.5M.
- 'synthdog-ko': Korean, 0.5M... | [
"## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets\n\nFor more information, please visit URL\n\n!image\n\nThe links to the SynthDoG-generated datasets are here:\n\n- 'synthdog-en': English, 0.5M.\n- 'synthdog-zh': Chinese, 0.5M.\n- 'synthdog-ja': Japanese, 0.5M.\n- 'synthdog-k... | [
"TAGS\n#region-us \n",
"## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets\n\nFor more information, please visit URL\n\n!image\n\nThe links to the SynthDoG-generated datasets are here:\n\n- 'synthdog-en': English, 0.5M.\n- 'synthdog-zh': Chinese, 0.5M.\n- 'synthdog-ja': Japan... | [
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"passage: TAGS\n#region-us \n## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets\n\nFor more information, please visit URL\n\n!image\n\nThe links to the SynthDoG-generated datasets are here:\n\n- 'synthdog-en': English, 0.5M.\n- 'synthdog-zh': Chinese, 0.5M.\n- 'synthdog-ja': Ja... |
5c895d0deb129102f9c2fe279eb456548e261c8a | ## Donut 🍩 : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets
For more information, please visit https://github.com/clovaai/donut
The links to the SynthDoG-generated datasets are here:
- [`synthdog-... | naver-clova-ix/synthdog-ja | [
"region:us"
] | 2022-07-19T23:45:12+00:00 | {} | 2024-01-31T23:56:09+00:00 | [] | [] | TAGS
#region-us
| ## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets
For more information, please visit URL
!image
The links to the SynthDoG-generated datasets are here:
- 'synthdog-en': English, 0.5M.
- 'synthdog-zh': Chinese, 0.5M.
- 'synthdog-ja': Japanese, 0.5M.
- 'synthdog-ko': Korean, 0.5M... | [
"## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets\n\nFor more information, please visit URL\n\n!image\n\nThe links to the SynthDoG-generated datasets are here:\n\n- 'synthdog-en': English, 0.5M.\n- 'synthdog-zh': Chinese, 0.5M.\n- 'synthdog-ja': Japanese, 0.5M.\n- 'synthdog-k... | [
"TAGS\n#region-us \n",
"## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets\n\nFor more information, please visit URL\n\n!image\n\nThe links to the SynthDoG-generated datasets are here:\n\n- 'synthdog-en': English, 0.5M.\n- 'synthdog-zh': Chinese, 0.5M.\n- 'synthdog-ja': Japan... | [
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"passage: TAGS\n#region-us \n## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets\n\nFor more information, please visit URL\n\n!image\n\nThe links to the SynthDoG-generated datasets are here:\n\n- 'synthdog-en': English, 0.5M.\n- 'synthdog-zh': Chinese, 0.5M.\n- 'synthdog-ja': Ja... |
1e6c76a1a5f10aa967a60a880f7dbc06ac29a8d6 | ## Donut 🍩 : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets
For more information, please visit https://github.com/clovaai/donut
The links to the SynthDoG-generated datasets are here:
- [`synthdog-... | naver-clova-ix/synthdog-ko | [
"region:us"
] | 2022-07-19T23:45:45+00:00 | {} | 2024-01-31T23:55:41+00:00 | [] | [] | TAGS
#region-us
| ## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets
For more information, please visit URL
!image
The links to the SynthDoG-generated datasets are here:
- 'synthdog-en': English, 0.5M.
- 'synthdog-zh': Chinese, 0.5M.
- 'synthdog-ja': Japanese, 0.5M.
- 'synthdog-ko': Korean, 0.5M... | [
"## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets\n\nFor more information, please visit URL\n\n!image\n\nThe links to the SynthDoG-generated datasets are here:\n\n- 'synthdog-en': English, 0.5M.\n- 'synthdog-zh': Chinese, 0.5M.\n- 'synthdog-ja': Japanese, 0.5M.\n- 'synthdog-k... | [
"TAGS\n#region-us \n",
"## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets\n\nFor more information, please visit URL\n\n!image\n\nThe links to the SynthDoG-generated datasets are here:\n\n- 'synthdog-en': English, 0.5M.\n- 'synthdog-zh': Chinese, 0.5M.\n- 'synthdog-ja': Japan... | [
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"passage: TAGS\n#region-us \n## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets\n\nFor more information, please visit URL\n\n!image\n\nThe links to the SynthDoG-generated datasets are here:\n\n- 'synthdog-en': English, 0.5M.\n- 'synthdog-zh': Chinese, 0.5M.\n- 'synthdog-ja': Ja... |
961402a28a0c436af83eab460132148053441208 | from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("bigscience/bloom")
model = AutoModel.from_pretrained("bigscience/bloom") | Willaim/H | [
"region:us"
] | 2022-07-20T01:48:57+00:00 | {} | 2022-07-20T01:50:07+00:00 | [] | [] | TAGS
#region-us
| from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("bigscience/bloom")
model = AutoModel.from_pretrained("bigscience/bloom") | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
8acfecc725b172d1283aa50f67521ddc08b3c682 |
# ShahNegar (A Plotted version of The Shahnameh)
This dataset is a plotted version of Ferdowsi's Shahnameh (which is a highly-regarded ancient set of Farsi poems) generated using DALL-E mini (aka [craiyon](https://www.craiyon.com/)). You can use this dataset using the code below:
```python
from datasets import load... | sadrasabouri/ShahNegar | [
"task_categories:image-to-text",
"task_categories:text-to-image",
"task_ids:image-captioning",
"annotations_creators:machine-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:mit",
"r... | 2022-07-20T04:13:00+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["image-to-text", "text-to-image"], "task_ids": ["image-captioning... | 2022-10-21T10:54:05+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-to-text #task_categories-text-to-image #task_ids-image-captioning #annotations_creators-machine-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #region-us
|
# ShahNegar (A Plotted version of The Shahnameh)
This dataset is a plotted version of Ferdowsi's Shahnameh (which is a highly-regarded ancient set of Farsi poems) generated using DALL-E mini (aka craiyon). You can use this dataset using the code below:
## Table of Contents
- Table of Contents
- Dataset Descriptio... | [
"# ShahNegar (A Plotted version of The Shahnameh)\n\nThis dataset is a plotted version of Ferdowsi's Shahnameh (which is a highly-regarded ancient set of Farsi poems) generated using DALL-E mini (aka craiyon). You can use this dataset using the code below:",
"## Table of Contents\n- Table of Contents\n- Dataset D... | [
"TAGS\n#task_categories-image-to-text #task_categories-text-to-image #task_ids-image-captioning #annotations_creators-machine-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #region-us \n",
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471fb121de4f1806d7f0fd4dde685089c9cb2012 | ## Donut 🍩 : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets
For more information, please visit https://github.com/clovaai/donut
The links to the SynthDoG-generated datasets are here:
- [`synthdog-... | naver-clova-ix/synthdog-en | [
"region:us"
] | 2022-07-20T04:33:24+00:00 | {} | 2024-01-31T23:56:41+00:00 | [] | [] | TAGS
#region-us
| ## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets
For more information, please visit URL
!image
The links to the SynthDoG-generated datasets are here:
- 'synthdog-en': English, 0.5M.
- 'synthdog-zh': Chinese, 0.5M.
- 'synthdog-ja': Japanese, 0.5M.
- 'synthdog-ko': Korean, 0.5M... | [
"## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets\n\nFor more information, please visit URL\n\n!image\n\nThe links to the SynthDoG-generated datasets are here:\n\n- 'synthdog-en': English, 0.5M.\n- 'synthdog-zh': Chinese, 0.5M.\n- 'synthdog-ja': Japanese, 0.5M.\n- 'synthdog-k... | [
"TAGS\n#region-us \n",
"## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets\n\nFor more information, please visit URL\n\n!image\n\nThe links to the SynthDoG-generated datasets are here:\n\n- 'synthdog-en': English, 0.5M.\n- 'synthdog-zh': Chinese, 0.5M.\n- 'synthdog-ja': Japan... | [
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"passage: TAGS\n#region-us \n## Donut : OCR-Free Document Understanding Transformer (ECCV 2022) -- SynthDoG datasets\n\nFor more information, please visit URL\n\n!image\n\nThe links to the SynthDoG-generated datasets are here:\n\n- 'synthdog-en': English, 0.5M.\n- 'synthdog-zh': Chinese, 0.5M.\n- 'synthdog-ja': Ja... |
a5057855c7aa264709b35de7bd85258d943bec22 | This Urdu sentiment dataset was formed by concatenating the following two datasets:
https://github.com/MuhammadYaseenKhan/Urdu-Sentiment-Corpus
https://www.kaggle.com/datasets/akkefa/imdb-dataset-of-50k-movie-translated-urdu-reviews | hassan4830/urdu-binary-classification-data | [
"license:afl-3.0",
"region:us"
] | 2022-07-20T04:56:40+00:00 | {"license": "afl-3.0"} | 2022-07-21T08:40:56+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
| This Urdu sentiment dataset was formed by concatenating the following two datasets:
URL
URL | [] | [
"TAGS\n#license-afl-3.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-afl-3.0 #region-us \n"
] |
59519e655088aa83999037b3ba8fa88d77eb3b83 | annotations_creators: []
language:
- en
language_creators: []
license: []
multilinguality: []
pretty_name: HuggingFace GitHub Issues
size_categories: []
source_datasets: []
tags: []
task_categories:
- text-classification
- text-retrieval
task_ids:
- multi-class-classification
- multi-label-classification
- document-ret... | SakaiJun/github-issues | [
"region:us"
] | 2022-07-20T06:23:42+00:00 | {} | 2022-07-20T06:37:59+00:00 | [] | [] | TAGS
#region-us
| annotations_creators: []
language:
- en
language_creators: []
license: []
multilinguality: []
pretty_name: HuggingFace GitHub Issues
size_categories: []
source_datasets: []
tags: []
task_categories:
- text-classification
- text-retrieval
task_ids:
- multi-class-classification
- multi-label-classification
- document-ret... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
fd526b15b744502f4e24b21126f543d845a8c59e |
# Dataset Card for `reviews_with_drift`
## 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](#data... | arize-ai/fashion_mnist_quality_drift | [
"task_categories:image-classification",
"task_ids:multi-class-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|imdb",
"language:en",
"license:mit",
"region:us"
] | 2022-07-20T06:31:58+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|imdb"], "task_categories": ["image-classification"], "task_ids": ["multi-class-classifica... | 2022-10-25T09:40:17+00:00 | [] | [
"en"
] | TAGS
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|
# Dataset Card for 'reviews_with_drift'
## 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 'reviews_with_drift'",
"## 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 ... | [
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8116d3b3bedf70dcc6f755e461f5ab499ef13e18 | # 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: ARTeLab/it5-summarization-ilpost
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, ... | autoevaluate/autoeval-staging-eval-project-xsum-6cd6bf3a-11245505 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-20T06:44:58+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["xsum"], "eval_info": {"task": "summarization", "model": "ARTeLab/it5-summarization-ilpost", "metrics": [], "dataset_name": "xsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "document", "target": "summary"}}} | 2022-07-20T06:53:57+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: ARTeLab/it5-summarization-ilpost
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic model... | [
"# 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: ARTeLab/it5-summarization-ilpost\n* Dataset: xsum\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face'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: Summarization\n* Model: ARTeLab/it5-summarization-ilpost\n* Dataset: xsum\n* Config: default\n* Split: test\n\nT... | [
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"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: ARTeLab/it5-summarization-ilpost\n* Dataset: xsum\n* Config: default\n* Split: test\n... |
9e3c700a884eb823b3b6c9bd993f3197cdfdacb6 |
# Dataset Card for asvspoof2019
## 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 Fiel... | LanceaKing/asvspoof2019 | [
"task_categories:audio-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|vctk",
"language:en",
"license:odc-by",
"voice-anti-spoofing",
"arxiv:1911.01601",
"region:us"
] | 2022-07-20T07:29:40+00:00 | {"annotations_creators": ["other"], "language_creators": ["other"], "language": ["en"], "license": ["odc-by"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|vctk"], "task_categories": ["audio-classification"], "task_ids": [], "pretty_name": "asvspoof2019", "tags": [... | 2022-11-11T08:41:54+00:00 | [
"1911.01601"
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#task_categories-audio-classification #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|vctk #language-English #license-odc-by #voice-anti-spoofing #arxiv-1911.01601 #region-us
| Dataset Card for asvspoof2019
=============================
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
+ Perso... | [
"### Dataset Summary\n\n\nThis is a database used for the Third Automatic Speaker Verification Spoofing\nand Countermeasuers Challenge, for short, ASVspoof 2019 (URL)\norganized by Junichi Yamagishi, Massimiliano Todisco, Md Sahidullah, Héctor\nDelgado, Xin Wang, Nicholas Evans, Tomi Kinnunen, Kong Aik Lee, Ville V... | [
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c0197df20a67b8ad636f63e4983e36208b3ea977 | tokeron/Piyyut | [
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"multilinguality:monolingual",
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| [] | [
"TAGS\n#task_categories-text-classification #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Hebrew #license-afl-3.0 #metaphor-detection #region-us \n"
] | [
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] | ||
468d0b8716ec40f521f557a4617039975a3a16e4 | # 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: Abdelrahman-Rezk/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: defa... | autoevaluate/autoeval-staging-eval-project-emotion-5a29f55d-11295506 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-20T10:03:35+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "Abdelrahman-Rezk/distilbert-base-uncased-finetuned-emotion", "metrics": ["bertscore"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "validation"... | 2022-07-20T10:04:02+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: Abdelrahman-Rezk/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: validation
To run new ... | [
"# 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: Abdelrahman-Rezk/distilbert-base-uncased-finetuned-emotion\n* Dataset: emotion\n* Config: default\n* Split: validation... | [
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"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: Abdelrahman-Rezk/distilbert-base-uncased-finetuned-emotion\n* Datas... |
bbb2a0157b760465002fd12a61af81b475cd387a |
# Dataset Card for Multilingual European Datasets for Sensitive Entity Detection in the Legal Domain
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-lea... | joelniklaus/mapa | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:other",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:multilingual",
"language:bg",
"language:cs",
"language:da",
"l... | 2022-07-20T11:14:50+00:00 | {"annotations_creators": ["other"], "language_creators": ["found"], "language": ["multilingual", "bg", "cs", "da", "de", "el", "en", "es", "et", "fi", "fr", "ga", "hu", "it", "lt", "lv", "mt", "nl", "pt", "ro", "sk", "sv"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], ... | 2022-10-25T15:17:09+00:00 | [] | [
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] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-other #language_creators-found #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-original #language-multilingual #language-Bulgarian #language-Czech #language-Danish #language-German #language-Mode... | Dataset Card for Multilingual European Datasets for Sensitive Entity Detection in the Legal Domain
==================================================================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks an... | [
"### Dataset Summary\n\n\nThe dataset consists of 12 documents (9 for Spanish due to parsing errors) taken from EUR-Lex, a multilingual corpus of court\ndecisions and legal dispositions in the 24 official languages of the European Union. The documents have been annotated\nfor named entities following the guidelines... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-other #language_creators-found #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-original #language-multilingual #language-Bulgarian #language-Czech #language-Danish #language-German #languag... | [
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e4d8ebdbd6644c78caac2655731820a7e07fd298 |
## advABSA
An adversarial aspect-based sentiment analysis (ABSA) benchmark, dubbed [*adv*ABSA](https://arxiv.org/pdf/2207.08099.pdf) for both aspect-based sentiment classification (SC) and opinion extraction (OE).
### *adv*ABSA (Adversarial ABSA Benchmark)
In response to the concerning robustness issue of ABSA, [Ar... | becurrio/advABSA | [
"license:apache-2.0",
"arxiv:2207.08099",
"region:us"
] | 2022-07-20T11:24:25+00:00 | {"license": "apache-2.0"} | 2022-07-21T04:57:48+00:00 | [
"2207.08099"
] | [] | TAGS
#license-apache-2.0 #arxiv-2207.08099 #region-us
|
## advABSA
An adversarial aspect-based sentiment analysis (ABSA) benchmark, dubbed *adv*ABSA for both aspect-based sentiment classification (SC) and opinion extraction (OE).
### *adv*ABSA (Adversarial ABSA Benchmark)
In response to the concerning robustness issue of ABSA, Arts is proposed, which contains datasets c... | [
"## advABSA\n\nAn adversarial aspect-based sentiment analysis (ABSA) benchmark, dubbed *adv*ABSA for both aspect-based sentiment classification (SC) and opinion extraction (OE).",
"### *adv*ABSA (Adversarial ABSA Benchmark)\n\nIn response to the concerning robustness issue of ABSA, Arts is proposed, which contain... | [
"TAGS\n#license-apache-2.0 #arxiv-2207.08099 #region-us \n",
"## advABSA\n\nAn adversarial aspect-based sentiment analysis (ABSA) benchmark, dubbed *adv*ABSA for both aspect-based sentiment classification (SC) and opinion extraction (OE).",
"### *adv*ABSA (Adversarial ABSA Benchmark)\n\nIn response to the conce... | [
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88226971c2c3968d9bcef3eea281995c0313f108 | # 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: tuner007/pegasus_summarizer
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit... | autoevaluate/autoeval-staging-eval-project-xsum-8015d52c-11325509 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-20T15:03:06+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["xsum"], "eval_info": {"task": "summarization", "model": "tuner007/pegasus_summarizer", "metrics": ["accuracy"], "dataset_name": "xsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "document", "target": "summary"... | 2022-07-20T16:31:44+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: tuner007/pegasus_summarizer
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic model eval... | [
"# 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: tuner007/pegasus_summarizer\n* Dataset: xsum\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's autom... | [
"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: tuner007/pegasus_summarizer\n* Dataset: xsum\n* Config: default\n* Split: test\n\nTo run... | [
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"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: tuner007/pegasus_summarizer\n* Dataset: xsum\n* Config: default\n* Split: test\n\nTo ... |
9862d1e870fe6dba4922d3d326c9c8b90a2ecad5 |
# Dataset Card for "relbert/lexical_relation_classification"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://aclanthology.org/P19-1169/](https://aclanthology.org/P19-1169/)
- **Dataset:** Lexical Relation Classification
### Dataset Summary
Five different d... | relbert/lexical_relation_classification | [
"multilinguality:monolingual",
"size_categories:n<1K",
"language:en",
"license:other",
"region:us"
] | 2022-07-20T21:45:48+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "pretty_name": "Lexical Relation Classification"} | 2022-07-20T22:24:17+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-n<1K #language-English #license-other #region-us
| Dataset Card for "relbert/lexical\_relation\_classification"
============================================================
Dataset Description
-------------------
* Repository: RelBERT
* Paper: URL
* Dataset: Lexical Relation Classification
### Dataset Summary
Five different datasets ('BLESS', 'CogALexV', 'EVALu... | [
"### Dataset Summary\n\n\nFive different datasets ('BLESS', 'CogALexV', 'EVALution', 'K&H+N', 'ROOT09') for lexical relation classification used in SphereRE.",
"### Dataset Summary\n\n\nThis dataset contains 5 different word analogy questions used in Analogy Language Model.\n\n\n\nDataset Structure\n-------------... | [
"TAGS\n#multilinguality-monolingual #size_categories-n<1K #language-English #license-other #region-us \n",
"### Dataset Summary\n\n\nFive different datasets ('BLESS', 'CogALexV', 'EVALution', 'K&H+N', 'ROOT09') for lexical relation classification used in SphereRE.",
"### Dataset Summary\n\n\nThis dataset contai... | [
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"passage: TAGS\n#multilinguality-monolingual #size_categories-n<1K #language-English #license-other #region-us \n### Dataset Summary\n\n\nFive different datasets ('BLESS', 'CogALexV', 'EVALution', 'K&H+N', 'ROOT09') for lexical relation classification used in SphereRE.### Dataset Summary\n\n\nThis dataset contains ... |
517e8e60404a2e2961bf28e0fd3631cd8424e81d | # Dataset Card for "relbert/relation_mapping"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://www.jair.org/index.php/jair/article/view/10583](https://www.jair.org/index.php/jair/article/view/10583)
- **Dataset:** Relation Mapping
### Dataset Summary
Relatio... | relbert/relation_mapping | [
"multilinguality:monolingual",
"size_categories:1<n<1K",
"language:en",
"license:other",
"region:us"
] | 2022-07-20T21:46:33+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1<n<1K"], "pretty_name": "Relation Mapping"} | 2022-08-11T09:51:58+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-1<n<1K #language-English #license-other #region-us
| Dataset Card for "relbert/relation\_mapping"
============================================
Dataset Description
-------------------
* Repository: RelBERT
* Paper: URL
* Dataset: Relation Mapping
### Dataset Summary
Relation Mapping is a task to choose optimal combination of word pairs (see more detail in the pape... | [
"### Dataset Summary\n\n\nRelation Mapping is a task to choose optimal combination of word pairs (see more detail in the paper).\n\n\nRelation mapping 'M' is the set of bijective map in between two sets of terms ('A' and 'B'):\n\n\n*Relation Mapping Problem* is the task to identify the mapping 'M' given the sets of... | [
"TAGS\n#multilinguality-monolingual #size_categories-1<n<1K #language-English #license-other #region-us \n",
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10c6f27014e29ecee20aaa336dc25412c0fedf81 | # 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-base-16384-booksum-V11
* Dataset: xsum
* Config: default
* Split: test
To run new ev... | autoevaluate/autoeval-staging-eval-project-xsum-8bc70ef8-11355511 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-21T04:48:39+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["xsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-booksum-V11", "metrics": [], "dataset_name": "xsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "document", "target":... | 2022-07-22T05:44:01+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-base-16384-booksum-V11
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's ... | [
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ff221b56ac6468869eb8b0630a01921263aae6e3 |
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Installation](#installation)
- [Install requirements](#install-requirements)
- [Download settings](#download-settings)
- [Dataset S... | kietzmannlab/ecoset | [
"task_categories:image-classification",
"task_ids:multi-class-classification",
"task_ids:multi-class-image-classification",
"source_datasets:original",
"license:cc",
"other-image-classification",
"image-classification",
"region:us"
] | 2022-07-21T06:33:50+00:00 | {"license": "cc", "source_datasets": ["original"], "task_categories": ["image-classification"], "task_ids": ["multi-class-classification", "multi-class-image-classification"], "paperswithcode_id": "ecoset", "pretty_name": "Ecoset", "tags": ["other-image-classification", "image-classification"]} | 2024-02-02T19:13:47+00:00 | [] | [] | TAGS
#task_categories-image-classification #task_ids-multi-class-classification #task_ids-multi-class-image-classification #source_datasets-original #license-cc #other-image-classification #image-classification #region-us
| Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
* Installation
+ Install requirements
+ Download settings
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Personal and Sensitive Information
* Considerations for... | [
"### Dataset Summary\n\n\nTired of all the dogs in ImageNet (ILSVRC)? Then ecoset is here for you. 1.5m images\nfrom 565 basic level categories, chosen to be both (i) frequent in linguistic usage,\nand (ii) rated by human observers as concrete (e.g. ‘table’ is concrete, ‘romance’\nis not).\n\n\nEcoset is a typical ... | [
"TAGS\n#task_categories-image-classification #task_ids-multi-class-classification #task_ids-multi-class-image-classification #source_datasets-original #license-cc #other-image-classification #image-classification #region-us \n",
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9d7c3583cb446ef2e26c6fca24324e7dd295e238 | # 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: facebook/bart-large-cnn
* Dataset: cestwc/cnn_dailymail-test50
* Config: cestwc--cnn_dailymail-test50
* Split:... | autoevaluate/autoeval-staging-eval-project-cestwc__cnn_dailymail-test50-b9fb5faf-11395515 | [
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#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: facebook/bart-large-cnn
* Dataset: cestwc/cnn_dailymail-test50
* Config: cestwc--cnn_dailymail-test50
* Split: test
To run new evaluation jobs, v... | [
"# 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: facebook/bart-large-cnn\n* Dataset: cestwc/cnn_dailymail-test50\n* Config: cestwc--cnn_dailymail-test50\n* Split: test\n\nTo run new eva... | [
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035943f67ab75602dc39ab84e279f27f10e80e1e | # 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: google/pegasus-cnn_dailymail
* Dataset: cestwc/cnn_dailymail-test50
* Config: cestwc--cnn_dailymail-test50
* S... | autoevaluate/autoeval-staging-eval-project-cestwc__cnn_dailymail-test50-b9fb5faf-11395514 | [
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"evaluation",
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#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: google/pegasus-cnn_dailymail
* Dataset: cestwc/cnn_dailymail-test50
* Config: cestwc--cnn_dailymail-test50
* Split: test
To run new evaluation jo... | [
"# 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: google/pegasus-cnn_dailymail\n* Dataset: cestwc/cnn_dailymail-test50\n* Config: cestwc--cnn_dailymail-test50\n* Split: test\n\nTo run ne... | [
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0f685a035621e4a9c17aa71437e1d6325144d5d4 | # 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: nickprock/distilbert-base-uncased-banking77-classification
* Dataset: banking77
* Config: de... | autoevaluate/autoeval-staging-eval-project-banking77-10fe815c-11415521 | [
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#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: nickprock/distilbert-base-uncased-banking77-classification
* Dataset: banking77
* Config: default
* Split: test
To run new eval... | [
"# 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: nickprock/distilbert-base-uncased-banking77-classification\n* Dataset: banking77\n* Config: default\n* Split: test\n\n... | [
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e83125a08d57be6c9e0aa40ad7f06ecb1d77adc5 | # 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: nickprock/distilbert-base-uncased-banking77-classification
* Dataset: banking77
* Config: de... | autoevaluate/autoeval-staging-eval-project-banking77-34727576-11425522 | [
"autotrain",
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#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: nickprock/distilbert-base-uncased-banking77-classification
* Dataset: banking77
* Config: default
* Split: test
To run new eval... | [
"# 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: nickprock/distilbert-base-uncased-banking77-classification\n* Dataset: banking77\n* Config: default\n* Split: test\n\n... | [
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"# 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: nickprock/distilbert-base-uncased-banking77-classification\n* Dataset:... | [
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1f3971387a63eab5ed76d795c501249904f2161b | # 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: nickprock/distilbert-base-uncased-banking77-classification
* Dataset: banking77
* Config: de... | autoevaluate/autoeval-staging-eval-project-banking77-9cb960fa-11435523 | [
"autotrain",
"evaluation",
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#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: nickprock/distilbert-base-uncased-banking77-classification
* Dataset: banking77
* Config: default
* Split: test
To run new eval... | [
"# 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: nickprock/distilbert-base-uncased-banking77-classification\n* Dataset: banking77\n* Config: default\n* Split: test\n\n... | [
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2ba19f47e9b5a645c1c2e9232c8abd69f91ec8df | # 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: facebook/bart-large-cnn
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: train
To run new evaluation jobs, v... | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-82ea4996-11445524 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-21T13:22:27+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "facebook/bart-large-cnn", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "train", "col_mapping": {"text": "article", "target": "highli... | 2022-07-22T13:59:19+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: facebook/bart-large-cnn
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: train
To run new evaluation jobs, visit Hugging Face's automatic model ... | [
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f39a0f32e1e09f34099c4b0ed22b35935e537cbc | # 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/extractive-question-answering
* Dataset: squad
* Config: plain_text
* Split: validation
To ... | autoevaluate/autoeval-staging-eval-project-976d13e6-0b05-475e-9b4e-e8fbc174cfae-346 | [
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#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/extractive-question-answering
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Huggi... | [
"# 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/extractive-question-answering\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jo... | [
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"# 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/extractive-question-answering\n* Dataset: squad\n* Config: plain_text\... | [
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e66c0d2ce2bde245f0a64d8eea309b2f27e26c80 | # 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/extractive-question-answering
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To... | autoevaluate/autoeval-staging-eval-project-d3ec9b9a-b64a-40a0-baff-3af478f604df-367 | [
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#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/extractive-question-answering
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugg... | [
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0a02e8200fb7a51296112bade2ab912df6f09361 | # 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/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new e... | autoevaluate/autoeval-staging-eval-project-f2158b57-4f5f-457d-9656-edbe0fb0d311-398 | [
"autotrain",
"evaluation",
"region:us"
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#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/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
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: Question Answering\n* Model: autoevaluate/roberta-base-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit... | [
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127f37dff7cde0aad160e7e0343214ae6114046e | # 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/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new e... | autoevaluate/autoeval-staging-eval-project-e81e3618-f3e1-472b-97e0-2794cda0adb2-409 | [
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: autoevaluate/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's... | [
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37906d94ced6a00549b67d7e5d5bd8b295042f5d | # 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/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
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#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/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's... | [
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738a202f3044f0e5191aeee1061701c61f15e6cb | # 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/extractive-question-answering
* Dataset: squad
* Config: plain_text
* Split: validation
To ... | autoevaluate/autoeval-staging-eval-project-9ec0b53a-81c5-4d01-88f6-bf53413cd1a8-4611 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: autoevaluate/extractive-question-answering
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Huggi... | [
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6d679cc141274969e47290ea5e6e6b3f25016591 | # 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: squad
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Config: plain_text
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To run new evaluation jobs, vis... | [
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1c37d22eef2e4e729d8908c098b0362848f42c51 | # 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/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
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To run new e... | autoevaluate/autoeval-staging-eval-project-squad_v2-7c1a5e5f-11505530 | [
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"region:us"
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#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/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's... | [
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42ab35c272ec2a3248521e36ffffed0115dab581 | # Dataset Card for Auditor Sentiment
## 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-... | FinanceInc/auditor_sentiment | [
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| # Dataset Card for Auditor Sentiment
## Table of Contents
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- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
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795824409d295424e69005d881d5370f177265b8 | annotations_creators:
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pretty_name: structured song lyrics
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[Needs More Information]
# Datase... | nbsullivan/song_lyrics | [
"region:us"
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# Dataset Card for song_lyrics
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e670508f77f244a24a8bcf100f02011df9d8435b | [Midjourney](https://midjourney.com) is an independent research lab whose broad mission is to "explore new mediums of thought". In 2022, they launched a text-to-image service that, given a natural language prompt, produces visual depictions that are faithful to the description. Their service is accessible via a public ... | succinctly/midjourney-prompts | [
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#license-apache-2.0 #region-us
| Midjourney is an independent research lab whose broad mission is to "explore new mediums of thought". In 2022, they launched a text-to-image service that, given a natural language prompt, produces visual depictions that are faithful to the description. Their service is accessible via a public Discord server: users issu... | [] | [
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b9190341f1939b12ce99c0b3120590e9d24033dc | # Dataset Card for "WikiArt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Artificio/WikiArt | [
"region:us"
] | 2022-07-21T20:18:50+00:00 | {"dataset_info": {"features": [{"name": "title", "dtype": "string"}, {"name": "artist", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "genre", "dtype": "string"}, {"name": "style", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "imag... | 2023-01-18T17:13:54+00:00 | [] | [] | TAGS
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| # Dataset Card for "WikiArt"
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35a56f3c865a3b3abdc7e3386804fe2063efd6f2 |
# Dataset Card for `reviews_with_drift`
## 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](#data... | arize-ai/cifar10_quality_drift | [
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|
# Dataset Card for 'reviews_with_drift'
## 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
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3a0ac3296e467afae7bd4d6ffc6ab795af8904d9 |
# Dataset Card for NERDE
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... | Gpaiva/NERDE | [
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# Dataset Card for NERDE
## Table of Contents
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- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
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- Dataset Structure
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"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Portuguese #license-cc-by-4.0 #ner #portuguese-ner #economic-defense... | [
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49ea9e40149871828d02aed166988c67dcda75c4 | # 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: distilbert-base-uncased-finetuned-sst-2-english
* Dataset: sst2
* Config: default
* Split: t... | autoevaluate/autoeval-staging-eval-project-sst2-ee5c821a-11545531 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-22T05:30:11+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["sst2"], "eval_info": {"task": "multi_class_classification", "model": "distilbert-base-uncased-finetuned-sst-2-english", "metrics": [], "dataset_name": "sst2", "dataset_config": "default", "dataset_split": "train", "col_mapping": {"text": "senten... | 2022-07-22T05:33:53+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: distilbert-base-uncased-finetuned-sst-2-english
* Dataset: sst2
* Config: default
* Split: train
To run new evaluation jobs, vi... | [
"# 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: distilbert-base-uncased-finetuned-sst-2-english\n* Dataset: sst2\n* Config: default\n* Split: train\n\nTo run new eval... | [
"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: distilbert-base-uncased-finetuned-sst-2-english\n* Dataset: sst2\n* Co... | [
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"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: distilbert-base-uncased-finetuned-sst-2-english\n* Dataset: sst2\n*... |
97197c4a27472a1cb112d4f384ba6f70e040b2a6 | # 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: tuner007/pegasus_summarizer
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: train
To run new evaluation job... | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-7c900a64-11555532 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-22T06:39:27+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "tuner007/pegasus_summarizer", "metrics": ["accuracy", "f1", "precision", "recall"], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "train", "col_mapp... | 2022-07-23T21:08:35+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: tuner007/pegasus_summarizer
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: train
To run new evaluation jobs, visit Hugging Face's automatic mo... | [
"# 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: tuner007/pegasus_summarizer\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: train\n\nTo run new evaluation jobs, visit Hugging Face... | [
"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: tuner007/pegasus_summarizer\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: train\n... | [
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"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: tuner007/pegasus_summarizer\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: trai... |
d1b54f2b452230e082fbdc30fe42b0f96c44ff16 |
This dataset provides information of all the spaces (~6,200 at time of snapshot) created on [HuggingFace Spaces](https://huggingface.co/spaces) 🤗. Most of the data comes from a public API endpoint while some of the data is enriched by web scraping. The dataset is intended to provide a snapshot of the spaces and was l... | deepklarity/huggingface-spaces-dataset | [
"license:cc",
"region:us"
] | 2022-07-22T07:45:29+00:00 | {"license": "cc"} | 2022-07-22T08:10:17+00:00 | [] | [] | TAGS
#license-cc #region-us
|
This dataset provides information of all the spaces (~6,200 at time of snapshot) created on HuggingFace Spaces . Most of the data comes from a public API endpoint while some of the data is enriched by web scraping. The dataset is intended to provide a snapshot of the spaces and was last updated in first week of *July-... | [] | [
"TAGS\n#license-cc #region-us \n"
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11
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f2f8f031c380b6d0ccd2a8102a40717e4a036884 | # 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/extractive-question-answering
* Dataset: squad
* Config: plain_text
* Split: validation
To ... | autoevaluate/autoeval-staging-eval-project-squad-7ad816c0-11585539 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-22T08:31:03+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "autoevaluate/extractive-question-answering", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"contex... | 2022-07-22T08:33:29+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/extractive-question-answering
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Huggi... | [
"# 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/extractive-question-answering\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jo... | [
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"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/extractive-question-answering\n* Dataset: squad\n* Config: plain_te... |
add96f0971c3921b3b77150838ef0d0494986fa9 | # 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/roberta-base-squad2
* Dataset: squad
* Config: plain_text
* Split: validation
To run new ev... | autoevaluate/autoeval-staging-eval-project-squad-7ad816c0-11585538 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-22T08:31:03+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "autoevaluate/roberta-base-squad2", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "conte... | 2022-07-22T08:34:17+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/roberta-base-squad2
* Dataset: squad
* Config: plain_text
* Split: validation
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: Question Answering\n* Model: autoevaluate/roberta-base-squad2\n* Dataset: squad\n* Config: plain_text\n* Split: validation\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: Question Answering\n* Model: autoevaluate/roberta-base-squad2\n* Dataset: squad\n* Config: plain_text\n* Split: ... | [
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"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/roberta-base-squad2\n* Dataset: squad\n* Config: plain_text\n* Spli... |
7d2e66ed02c4ff5b893295433a4e2f9f7aaa3592 | # 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: squad
* Config: plain_text
* Split: validat... | autoevaluate/autoeval-staging-eval-project-squad-7ad816c0-11585540 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-22T08:31:08+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "autoevaluate/distilbert-base-cased-distilled-squad", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": ... | 2022-07-22T08:33:32+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: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, vis... | [
"# 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: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evalu... | [
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"# 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: squad\n* Config: pla... | [
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"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: squad\n* Config: ... |
ae4442bb10bc1cd57779ad99594d94db75420667 | # 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/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new e... | autoevaluate/autoeval-staging-eval-project-squad_v2-94d8b010-11595541 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-22T08:31:44+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "autoevaluate/roberta-base-squad2", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "c... | 2022-07-22T08:34:44+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/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
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: Question Answering\n* Model: autoevaluate/roberta-base-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit... | [
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91aaa4a325ad414cfcde8690892b7dedb5425530 | # 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/extractive-question-answering
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To... | autoevaluate/autoeval-staging-eval-project-squad_v2-94d8b010-11595542 | [
"autotrain",
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"region:us"
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#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/extractive-question-answering
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugg... | [
"# 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/extractive-question-answering\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation j... | [
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c9fbf6541ad051a61f3bea8ea553af895ddb0449 | # 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: squad_v2
* Config: squad_v2
* Split: valida... | autoevaluate/autoeval-staging-eval-project-squad_v2-94d8b010-11595543 | [
"autotrain",
"evaluation",
"region:us"
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#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: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, vi... | [
"# 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: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new eval... | [
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b87c2d6f00929ca0f2f43e8d1a3532e4b0df069f | XStoryCloze consists of the professionally translated version of the [English StoryCloze dataset](https://cs.rochester.edu/nlp/rocstories/) (Spring 2016 version) to 10 other languages. This dataset is released by Meta AI.
# Languages
ru, zh (Simplified), es (Latin America), ar, hi, id, te, sw, eu, my.
# Data Splits
T... | Muennighoff/xstory_cloze_data | [
"arxiv:2112.10668",
"region:us"
] | 2022-07-22T08:56:03+00:00 | {} | 2022-07-22T09:00:22+00:00 | [
"2112.10668"
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#arxiv-2112.10668 #region-us
| XStoryCloze consists of the professionally translated version of the English StoryCloze dataset (Spring 2016 version) to 10 other languages. This dataset is released by Meta AI.
# Languages
ru, zh (Simplified), es (Latin America), ar, hi, id, te, sw, eu, my.
# Data Splits
This dataset is intended to be used for evalu... | [
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a16580eb510078482c7625c086cb75ca82c53007 |
# Dataset Card for Shadertoys-fine
## 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... | Vipitis/Shadertoys-fine | [
"task_categories:text-generation",
"annotations_creators:no-annotation",
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"language:en",
"language:code",
"license:cc-by-nc-sa-3.0",
"code",
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] | 2022-07-22T09:45:36+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["machine-generated"], "language": ["en", "code"], "license": ["cc-by-nc-sa-3.0"], "multilinguality": [], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": [], "pretty_name": "Shadertoys-fine", "t... | 2023-05-04T21:37:17+00:00 | [] | [
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|
# Dataset Card for Shadertoys-fine
## 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
- Source Data
- Licensing Information
## Dataset Descrip... | [
"# Dataset Card for Shadertoys-fine",
"## 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 - Source Data\n- Licensing Information... | [
"TAGS\n#task_categories-text-generation #annotations_creators-no-annotation #language_creators-machine-generated #size_categories-100K<n<1M #language-English #language-code #license-cc-by-nc-sa-3.0 #code #region-us \n",
"# Dataset Card for Shadertoys-fine",
"## Table of Contents\n- Table of Contents\n- Dataset ... | [
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94f5828caf1fed6c4e59499abdfcd873a9c030a3 | # 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: deepset/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evalua... | autoevaluate/autoeval-staging-eval-project-squad_v2-b21ddcda-11615545 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-22T10:14:33+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/roberta-base-squad2", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "contex... | 2022-07-22T10:17:44+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: deepset/roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's auto... | [
"# 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: deepset/roberta-base-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugg... | [
"TAGS\n#autotrain #evaluation #region-us \n",
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9c16af46e39ca7b77c67d091885bafd8cb05ee48 | Simpe Sentimental analysis Dataset checking with AUtoTrain Pipeline | ameerazam08/autotrain-data-imdb | [
"region:us"
] | 2022-07-22T10:43:35+00:00 | {} | 2022-08-08T03:19:44+00:00 | [] | [] | TAGS
#region-us
| Simpe Sentimental analysis Dataset checking with AUtoTrain Pipeline | [] | [
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8bb76e594b68147f1a430e86829d07189622b90d | # Dataset Card for "story_cloze"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances... | Muennighoff/xstory_cloze | [
"annotations_creators:found",
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"language:eu",
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"oth... | 2022-07-22T10:52:19+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["ar", "es", "eu", "hi", "id", "zh", "ru", "my"], "license": ["unknown"], "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_ids": [], "tags": ["other-story-completion"]} | 2022-10-20T18:44:18+00:00 | [] | [
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===============================
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
+... | [
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"### Data Instances\n\n\n* Size of downloaded dataset files: 2.03 MB... | [
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de17e62a0b8f40bae1ff1bffd42916d46adc62a2 | # 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: nbroad/deberta-v3-xsmall-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new ev... | autoevaluate/autoeval-staging-eval-project-squad_v2-a5d9cc45-11645552 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-22T12:14:13+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/deberta-v3-xsmall-squad2", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "co... | 2022-07-22T12:17:28+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: Question Answering
* Model: nbroad/deberta-v3-xsmall-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
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: Question Answering\n* Model: nbroad/deberta-v3-xsmall-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\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: Question Answering\n* Model: nbroad/deberta-v3-xsmall-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: ... | [
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850e6e9d4e72b0b1bd5b8ecebdb169cc0afecc55 | # 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: distilbert-base-cased-distilled-squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run n... | autoevaluate/autoeval-staging-eval-project-squad-056210f3-11655553 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-22T14:07:34+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "distilbert-base-cased-distilled-squad", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "... | 2022-07-22T14:10:00+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: distilbert-base-cased-distilled-squad
* Dataset: squad
* Config: plain_text
* Split: validation
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: Question Answering\n* Model: distilbert-base-cased-distilled-squad\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jobs, v... | [
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"# 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: distilbert-base-cased-distilled-squad\n* Dataset: squad\n* Config: plain_text\n* Sp... | [
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0a49812b2507cee6824dbd859214a6dc75c3a32f |
# Dataset Card for Common Voice Corpus 10.0
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#d... | mozilla-foundation/common_voice_10_0 | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"source_datasets:extended|common_voice",
"license:cc0-1.0",
"arxiv:1912.06670",
"region:us"
] | 2022-07-22T14:10:26+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "license": ["cc0-1.0"], "multilinguality": ["multilingual"], "size_categories": {"ab": ["10K<n<100K"], "ar": ["100K<n<1M"], "as": ["1K<n<10K"], "ast": ["n<1K"], "az": ["n<1K"], "ba": ["100K<n<1M"], "bas": ["1K<n<10K"], "be": ["100K<n<1M"]... | 2023-07-29T15:00:14+00:00 | [
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|
# Dataset Card for Common Voice Corpus 10.0
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal an... | [
"# Dataset Card for Common Voice Corpus 10.0",
"## 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 - Annotat... | [
"TAGS\n#task_categories-automatic-speech-recognition #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-multilingual #source_datasets-extended|common_voice #license-cc0-1.0 #arxiv-1912.06670 #region-us \n",
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bb5a0bf1924a55a85433166cacc8384fd7c099dc | # 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: nbroad/xdistil-l12-h384-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new eva... | autoevaluate/autoeval-staging-eval-project-squad_v2-4938eeea-11665554 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-22T14:10:40+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/xdistil-l12-h384-squad2", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "con... | 2022-07-22T14:13:27+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: nbroad/xdistil-l12-h384-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's a... | [
"# 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: nbroad/xdistil-l12-h384-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit H... | [
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"# 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: nbroad/xdistil-l12-h384-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: v... | [
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"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: nbroad/xdistil-l12-h384-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split... |
0513e0c12e945fa315e4fb166e3d741cb4413105 | # 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: deepset/roberta-base-squad2-distilled
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run ... | autoevaluate/autoeval-staging-eval-project-squad_v2-b7567fd1-11675555 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-22T14:51:13+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/roberta-base-squad2-distilled", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context... | 2022-07-22T14:54:17+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: deepset/roberta-base-squad2-distilled
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
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: Question Answering\n* Model: deepset/roberta-base-squad2-distilled\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\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: Question Answering\n* Model: deepset/roberta-base-squad2-distilled\n* Dataset: squad_v2\n* Config: squad_v2\n* S... | [
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"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: deepset/roberta-base-squad2-distilled\n* Dataset: squad_v2\n* Config: squad_v2\n... |
ef655a3bfc18d977bb7d657ab87a6de404c883fc |
# Dataset Card for Hansard speech
## 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 Fi... | biglam/hansard_speech | [
"task_categories:text-classification",
"task_categories:text-generation",
"task_ids:multi-class-classification",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categor... | 2022-07-22T20:57:59+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["text-classification", "text-generation"], "task_ids": ["multi-cl... | 2022-07-27T11:30:30+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_categories-text-generation #task_ids-multi-class-classification #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-expert-generated #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-o... | Dataset Card for Hansard speech
===============================
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
+ P... | [
"### Dataset Summary\n\n\nA dataset containing every speech in the House of Commons from May 1979-July 2020. Quoted from the dataset homepage\n\n\n\n> \n> Please contact me if you find any errors in the dataset. The integrity of the public Hansard record is questionable at times, and while I have improved it, the d... | [
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