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7b3565ba7321585678cbd4f057163c2a202ec4ee | # 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/bigbird-pegasus-large-arxiv
* Dataset: scientific_papers
To run new evaluation jobs, visit Hugging Fac... | autoevaluate/autoeval-staging-eval-project-c967fc98-8385125 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-06-28T20:43:42+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["scientific_papers"], "eval_info": {"task": "summarization", "model": "google/bigbird-pegasus-large-arxiv", "metrics": ["bertscore", "meteor"], "dataset_name": "scientific_papers", "dataset_config": "pubmed", "dataset_split": "test", "col_mapping... | 2022-06-29T00:09:37+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: Summarization
* Model: google/bigbird-pegasus-large-arxiv
* Dataset: scientific_papers
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
## C... | [
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4fbd8efbb2c158e502928720f40d88d00c5fe315 | Trec6 with 10% noise | rungalileo/mltakehome | [
"region:us"
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a053764e08bbcd9d2af53f3c40738f797020e1f3 | # 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: abhishek/convnext-tiny-finetuned-dogfood
* Dataset: lewtun/dog_food
To run new evaluation ... | autoevaluate/autoeval-staging-eval-project-34433c04-8625146 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-06-28T23:38:57+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["lewtun/dog_food"], "eval_info": {"task": "image_multi_class_classification", "model": "abhishek/convnext-tiny-finetuned-dogfood", "metrics": [], "dataset_name": "lewtun/dog_food", "dataset_config": "lewtun--dog_food", "dataset_split": "test", "c... | 2022-06-28T23:39:30+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: abhishek/convnext-tiny-finetuned-dogfood
* Dataset: lewtun/dog_food
To run new evaluation jobs, visit Hugging Face's automatic... | [
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f7b1cf0b7808c73459132d36db9bcb63c7293d87 | # 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: eslamxm/mbart-finetune-en-cnn
* Dataset: cnn_dailymail
To run new evaluation jobs, visit Hugging Face's [auto... | autoevaluate/autoeval-staging-eval-project-72edae24-8665151 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-06-29T01:15:21+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "eslamxm/mbart-finetune-en-cnn", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "train", "col_mapping": {"text": "article", "target": "... | 2022-06-30T04:04:02+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: Summarization
* Model: eslamxm/mbart-finetune-en-cnn
* Dataset: cnn_dailymail
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
## Contributi... | [
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ede344115166115e131c24dd78e30feb71298b66 |
# Dataset Card for "test"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Preprocessing](#dataset-preprocessing)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#l... | ThierryZhou/test | [
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# Dataset Card for "test"
## Table of Contents
- Table of Contents
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- Dataset Summary
- Dataset Preprocessing
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
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cc5900b7f586b2a17b586bd46f72b3fca7f89e0a |
# Dataset Card for ERWT Hertiage Made Digital Newspapers training data
## 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](#languag... | Livingwithmachines/hmd-erwt-training | [
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| Dataset Card for ERWT Hertiage Made Digital Newspapers training data
====================================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Inst... | [
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de6d2333628b3fa6893b658f77e0a4d72412be6c | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: huggingface-course/bert-finetuned-ner
* Dataset: conll2003
To run new evaluation jobs, visit Hugging F... | autoevaluate/autoeval-staging-eval-project-b20351ec-8855170 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-06-29T06:26:28+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conll2003"], "eval_info": {"task": "entity_extraction", "model": "huggingface-course/bert-finetuned-ner", "metrics": [], "dataset_name": "conll2003", "dataset_config": "conll2003", "dataset_split": "test", "col_mapping": {"tokens": "tokens", "ta... | 2022-06-29T06:27:43+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: huggingface-course/bert-finetuned-ner
* Dataset: conll2003
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
##... | [
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2a5b793520882599e415e356621c97093eb7520c | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: lewtun/autotrain-acronym-identification-7324788
* Dataset: acronym_identification
To run new evaluatio... | autoevaluate/autoeval-staging-eval-project-81757492-8865171 | [
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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: Token Classification
* Model: lewtun/autotrain-acronym-identification-7324788
* Dataset: acronym_identification
To run new evaluation jobs, visit Hugging Face's automat... | [
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2a6b79b3e3c939aebb149d9109d7cdb78a9c2d3b | # Dataset Card for SAMSum Corpus
## Dataset Description
### Links
- **Homepage:** hhttps://arxiv.org/abs/1911.12237v2
- **Repository:** https://arxiv.org/abs/1911.12237v2
- **Paper:** https://arxiv.org/abs/1911.12237v2
- **Point of Contact:** https://huggingface.co/knkarthick
### Dataset Summary
The SAMSum dataset con... | knkarthick/samsum | [
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| # Dataset Card for SAMSum Corpus
## Dataset Description
### Links
- Homepage: hhttps://URL
- Repository: URL
- Paper: URL
- Point of Contact: URL
### Dataset Summary
The SAMSum dataset contains about 16k messenger-like conversations with summaries. Conversations were created and written down by linguists fluent in Eng... | [
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8029d595220a39d09d132dade7baba6d9388ed17 | # Dataset Card for SAMSum Corpus
## Dataset Description
### Links
- **Homepage:** https://arxiv.org/abs/1808.08745
- **Repository:** https://arxiv.org/abs/1808.08745
- **Paper:** https://arxiv.org/abs/1808.08745
- **Point of Contact:** https://huggingface.co/knkarthick
### Dataset Summary
This repository contains data... | knkarthick/xsum | [
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## Dataset Description
### Links
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### Dataset Summary
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4fe6b74529ba552ef552afb7bafc54a980f45628 | # 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: uygarkurt/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
To run new evaluatio... | autoevaluate/autoeval-staging-eval-project-b756be98-8935185 | [
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"evaluation",
"region:us"
] | 2022-06-29T08:29:53+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "uygarkurt/distilbert-base-uncased-finetuned-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text"... | 2022-06-29T08:30:21+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: uygarkurt/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
To run new evaluation jobs, visit Hugging Face's automat... | [
"# 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: uygarkurt/distilbert-base-uncased-finetuned-emotion\n* Dataset: emotion\n\nTo run new evaluation jobs, visit Hugging F... | [
"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: uygarkurt/distilbert-base-uncased-finetuned-emotion\n* Dataset: emotio... | [
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9a66b367250f32cea9b78aeac1ec2a719a8dd59f | # Dataset Card for HighlightSum Corpus [Single Dataset Comprising of AMI, SamSUM & DialogSUM for Brief Summarization of Text]
## Dataset Description
### Links
- **AMI:** https://huggingface.co/datasets/knkarthick/AMI
- **DialogSUM:** https://github.com/cylnlp/dialogsum
- **SamSUM:** https://huggingface.co/datasets/knka... | knkarthick/highlightsum | [
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] | 2022-06-29T10:25:09+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": [], "pretty_name": "HighlightSum Cor... | 2022-10-24T08:17:00+00:00 | [] | [
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| # Dataset Card for HighlightSum Corpus [Single Dataset Comprising of AMI, SamSUM & DialogSUM for Brief Summarization of Text]
## Dataset Description
### Links
- AMI: URL
- DialogSUM: URL
- SamSUM: URL
- Point of Contact: URL
### Dataset Summary
HighlightSUM is collection of large-scale dialogue summarization dataset f... | [
"# Dataset Card for HighlightSum Corpus [Single Dataset Comprising of AMI, SamSUM & DialogSUM for Brief Summarization of Text]",
"## Dataset Description",
"### Links\n- AMI: URL\n- DialogSUM: URL\n- SamSUM: URL\n- Point of Contact: URL",
"### Dataset Summary\nHighlightSUM is collection of large-scale dialogue... | [
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2c58ef072fb410733cf195c02ff771928f8f9f89 | # Dataset Card for TopicSum Corpus [Single Dataset Comprising of XSUM & DialogSUM for One Liner Summarization/ Topic Generation of Text]
## Dataset Description
### Links
- **DialogSUM:** https://github.com/cylnlp/dialogsum
- **XSUM:** https://huggingface.co/datasets/knkarthick/xsum
- **Point of Contact:** https://huggi... | knkarthick/topicsum | [
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"license... | 2022-06-29T10:46:06+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["summarization", "text2text-generation", "text-generation"], "task_... | 2022-12-07T08:30:09+00:00 | [] | [
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| # Dataset Card for TopicSum Corpus [Single Dataset Comprising of XSUM & DialogSUM for One Liner Summarization/ Topic Generation of Text]
## Dataset Description
### Links
- DialogSUM: URL
- XSUM: URL
- Point of Contact: URL
### Dataset Summary
TopicSUM is collection of large-scale dialogue summarization dataset from XS... | [
"# Dataset Card for TopicSum Corpus [Single Dataset Comprising of XSUM & DialogSUM for One Liner Summarization/ Topic Generation of Text]",
"## Dataset Description",
"### Links\n- DialogSUM: URL\n- XSUM: URL\n- Point of Contact: URL",
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0888b80fd0a0f678cce1c6520ddd13e928e49442 | ## 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)
- [Data Instances](#data-... | projecte-aina/catalanqa | [
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"source_datasets:original",
"language:ca",
"license:cc-by-sa-4.0",
"arxiv:1606.05250",
"region:us"
] | 2022-06-29T13:22:10+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["ca"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"], "pretty_name": "... | 2023-11-25T04:47:38+00:00 | [
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| ## 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
- Personal and Sensitive Information
- ... | [
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94d6f34624770580411a759a1994bd437daf36d3 |
# Dataset Card for SPGISpeech
## Table of Contents
- [Table of Contents](#table-of-contents)
<img src="https://s3.amazonaws.com/moonup/production/uploads/1661776840270-62e049fe81d9ca6484eff137.png" alt="SPGISpeech Logo" width="200"/>
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summa... | kensho/spgispeech | [
"task_categories:automatic-speech-recognition",
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"language_creators:found",
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"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:other",
"arxiv:2104.02014",
"region:us"
] | 2022-06-29T15:09:04+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition"], "pretty_name": "SpgiSpeech", "extra_gated_pr... | 2022-10-21T13:46:30+00:00 | [
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| Dataset Card for SPGISpeech
===========================
Table of Contents
-----------------
* Table of Contents
<img src="URL alt="SPGISpeech Logo" width="200"/>
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data... | [
"### Example Usage\n\n\nThe training split has several configurations of various size: S, M, L. See the Section Data Splits\nfor for more information. To download the S configuration:\n\n\nIt is possible to download only the development or test data:",
"### Supported Tasks and Leaderboards\n\n\n* 'automatic-speec... | [
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609880c2f80d9f7e1e64e8b2ae85ec474b772eb3 |
# Dataset Card for CORD (Consolidated Receipt Dataset)
## 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)
- [Dataset Structure](#dataset-structure... | wkrl/cord | [
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] | 2022-06-29T15:39:52+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["parsing"], "pretty_name": "CORD... | 2022-07-09T08:28:36+00:00 | [] | [
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|
# Dataset Card for CORD (Consolidated Receipt Dataset)
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Additional Information
- Licensing Information
- Citation Informat... | [
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5ba3c4934f4b20a4d9cf13e1b877524267ef5f70 | # 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: abhishek/convnext-tiny-finetuned-dogfood
* Dataset: lewtun/dog_food
To run new evaluation ... | autoevaluate/autoeval-staging-eval-project-f89b1257-9045192 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-06-29T16:16:19+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["lewtun/dog_food"], "eval_info": {"task": "image_multi_class_classification", "model": "abhishek/convnext-tiny-finetuned-dogfood", "metrics": [], "dataset_name": "lewtun/dog_food", "dataset_config": "lewtun--dog_food", "dataset_split": "train", "... | 2022-06-29T16:17:15+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: Multi-class Image Classification
* Model: abhishek/convnext-tiny-finetuned-dogfood
* Dataset: lewtun/dog_food
To run new evaluation jobs, visit Hugging Face's automatic... | [
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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 Image Classification\n* Model: abhishek/convnext-tiny-finetuned-dogfood\n* Dataset: lewtun/dog_fo... |
38139de09992c33d51f53531bbf3d575ca3e2e27 |
# CiteSum
## Description
CiteSum: Citation Text-guided Scientific Extreme Summarization and Low-resource Domain Adaptation.
CiteSum contains TLDR summaries for scientific papers from their citation texts without human annotation, making it around 30 times larger than the previous human-curated dataset SciTLDR.
##... | yuningm/citesum | [
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"arxiv:2205.06207",
"region:us"
] | 2022-06-29T17:55:38+00:00 | {"language": ["en"], "license": "cc-by-nc-4.0", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["summarization"], "paperswithcode_id": "citesum"} | 2022-10-25T09:39:26+00:00 | [
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#task_categories-summarization #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-nc-4.0 #arxiv-2205.06207 #region-us
|
# CiteSum
## Description
CiteSum: Citation Text-guided Scientific Extreme Summarization and Low-resource Domain Adaptation.
CiteSum contains TLDR summaries for scientific papers from their citation texts without human annotation, making it around 30 times larger than the previous human-curated dataset SciTLDR.
##... | [
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bf7670076120164edc138d6394f6ea6820907de4 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: dslim/bert-base-NER
* Dataset: conll2003
To run new evaluation jobs, visit Hugging Face's [automatic m... | autoevaluate/autoeval-staging-eval-project-183be059-9075194 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-06-29T19:25:22+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conll2003"], "eval_info": {"task": "entity_extraction", "model": "dslim/bert-base-NER", "metrics": [], "dataset_name": "conll2003", "dataset_config": "conll2003", "dataset_split": "test", "col_mapping": {"tokens": "tokens", "tags": "ner_tags"}}} | 2022-06-29T19:26:38+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: dslim/bert-base-NER
* Dataset: conll2003
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
## Contributions
Th... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: dslim/bert-base-NER\n* Dataset: conll2003\n\nTo run new evaluation jobs, visit Hugging Face's automatic model evaluator.",
"## ... | [
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da4e9f4db86e259f783e89a50fd8f811dfe3f257 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Dataset Creation](#dataset-creation)
- [Curation R... | SerdarHelli/SegmentationOfTeethPanoramicXRayImages | [
"task_categories:image-segmentation",
"task_ids:semantic-segmentation",
"size_categories:n<1K",
"teeth-segmentation",
"dental-imaging",
"medical-imaging",
"region:us"
] | 2022-06-29T20:07:00+00:00 | {"size_categories": ["n<1K"], "task_categories": ["image-segmentation"], "task_ids": ["semantic-segmentation"], "tags": ["teeth-segmentation", "dental-imaging", "medical-imaging"], "train-eval-index": [{"config": "plain_text", "task": "semantic_segmentation", "task_id": "semantic_segmentation", "splits": {"train_split"... | 2022-10-29T19:05:26+00:00 | [] | [] | TAGS
#task_categories-image-segmentation #task_ids-semantic-segmentation #size_categories-n<1K #teeth-segmentation #dental-imaging #medical-imaging #region-us
|
# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Dataset Structure
- Data Instances
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Other Known Limitations
- Additional Information
- Citation Information
- Contri... | [
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51da51ef377f004e18152d6e02ed1e31eb2466d9 | # 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: dbounds/roberta-large-finetuned-clinc
* Dataset: clinc_oos
To run new evaluation jobs, visi... | autoevaluate/autoeval-staging-eval-project-87e7c3be-9085195 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-06-29T20:09:50+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["clinc_oos"], "eval_info": {"task": "multi_class_classification", "model": "dbounds/roberta-large-finetuned-clinc", "metrics": [], "dataset_name": "clinc_oos", "dataset_config": "small", "dataset_split": "test", "col_mapping": {"text": "text", "t... | 2022-06-29T20:11:33+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: dbounds/roberta-large-finetuned-clinc
* Dataset: clinc_oos
To run new evaluation jobs, visit Hugging Face's automatic model eva... | [
"# 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: dbounds/roberta-large-finetuned-clinc\n* Dataset: clinc_oos\n\nTo run new evaluation jobs, visit Hugging Face's automa... | [
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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: dbounds/roberta-large-finetuned-clinc\n* Dataset: clinc_oos\n\nTo run ... | [
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74178ac21d8791035a616fd4f97bbd652b541c78 | # 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: abhishek/autotrain_cifar10_vit_base
* Dataset: cifar10
To run new evaluation jobs, visit H... | autoevaluate/autoeval-staging-eval-project-00ac2adb-9115197 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-06-29T21:40:57+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cifar10"], "eval_info": {"task": "image_multi_class_classification", "model": "abhishek/autotrain_cifar10_vit_base", "metrics": [], "dataset_name": "cifar10", "dataset_config": "plain_text", "dataset_split": "test", "col_mapping": {"image": "img... | 2022-06-29T21:41:58+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: abhishek/autotrain_cifar10_vit_base
* Dataset: cifar10
To run new evaluation jobs, visit Hugging Face's automatic model evalua... | [
"# 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 Image Classification\n* Model: abhishek/autotrain_cifar10_vit_base\n* Dataset: cifar10\n\nTo run new evaluation jobs, visit Hugging Face's automatic... | [
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c535f479a30ffc48bc48663ca86c6f20272e9219 | # 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: karthiksv/vit-base-patch16-224-cifar10
* Dataset: cifar10
To run new evaluation jobs, visi... | autoevaluate/autoeval-staging-eval-project-00ac2adb-9115199 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-06-29T21:41:07+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cifar10"], "eval_info": {"task": "image_multi_class_classification", "model": "karthiksv/vit-base-patch16-224-cifar10", "metrics": [], "dataset_name": "cifar10", "dataset_config": "plain_text", "dataset_split": "test", "col_mapping": {"image": "... | 2022-06-29T21:42:09+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Image Classification
* Model: karthiksv/vit-base-patch16-224-cifar10
* Dataset: cifar10
To run new evaluation jobs, visit Hugging Face's automatic model eva... | [
"# 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 Image Classification\n* Model: karthiksv/vit-base-patch16-224-cifar10\n* Dataset: cifar10\n\nTo run new evaluation jobs, visit Hugging Face's automa... | [
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e0d72b4c4e3aa00dc38e60a88deac5c4b3c10312 | # 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: jimypbr/cifar10_outputs
* Dataset: cifar10
To run new evaluation jobs, visit Hugging Face'... | autoevaluate/autoeval-staging-eval-project-00ac2adb-9115200 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-06-29T21:41:49+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cifar10"], "eval_info": {"task": "image_multi_class_classification", "model": "jimypbr/cifar10_outputs", "metrics": [], "dataset_name": "cifar10", "dataset_config": "plain_text", "dataset_split": "test", "col_mapping": {"image": "img", "target":... | 2022-06-29T21:42:47+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Image Classification
* Model: jimypbr/cifar10_outputs
* Dataset: cifar10
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
## Con... | [
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cc79d4ca52014f13aee22ec5c7872cebac96c9ed | # 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: tanlq/vit-base-patch16-224-in21k-finetuned-cifar10
* Dataset: cifar10
To run new evaluatio... | autoevaluate/autoeval-staging-eval-project-00ac2adb-9115202 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-06-29T21:42:31+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cifar10"], "eval_info": {"task": "image_multi_class_classification", "model": "tanlq/vit-base-patch16-224-in21k-finetuned-cifar10", "metrics": [], "dataset_name": "cifar10", "dataset_config": "plain_text", "dataset_split": "test", "col_mapping":... | 2022-06-29T21:43:31+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: tanlq/vit-base-patch16-224-in21k-finetuned-cifar10
* Dataset: cifar10
To run new evaluation jobs, visit Hugging Face's automat... | [
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c48d40f9e70f0196f8236901ee35807f7d6c44c0 | This is a cleaner version of [Github-code dataset](https://huggingface.co/datasets/codeparrot/github-code), we add the following filters:
* Average line length < 100
* Alpha numeric characters fraction > 0.25
* Remove auto-generated files (keyword search)
3.39M files are removed making up 2.94% of the dataset. | codeparrot/github-code-clean | [
"license:apache-2.0",
"region:us"
] | 2022-06-29T22:08:17+00:00 | {"license": "apache-2.0"} | 2022-07-05T08:35:14+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| This is a cleaner version of Github-code dataset, we add the following filters:
* Average line length < 100
* Alpha numeric characters fraction > 0.25
* Remove auto-generated files (keyword search)
3.39M files are removed making up 2.94% of the dataset. | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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77859ef0ac63997f4e1a16f27cc4acbf8a06cc2f |
# Dataset Card for RedditQG
## 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-structu... | launch/reddit_qg | [
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"annotations_creators:expert-generated",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-06-30T00:03:40+00:00 | {"annotations_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "RedditQG"} | 2022-11-09T01:58:05+00:00 | [] | [
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] | TAGS
#task_categories-text-classification #annotations_creators-expert-generated #multilinguality-monolingual #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for RedditQG
## 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
- Person... | [
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3b2e18d24afd6b82d6db4bb5552c64298e1ad8b2 | sentencias-corte-cons-colombia-1992-2021.
23750 Case law of the Colombia's Corte Constitucional.
Each row is a complete text of each case law.
23750 case law from 1992-2021.
Columns:
ID
Texto: Complete text of the sentence | Manuel/sentencias-corte-cons-colombia-1992-2021 | [
"license:cc-by-4.0",
"region:us"
] | 2022-06-30T01:17:04+00:00 | {"license": "cc-by-4.0"} | 2022-06-30T01:49:09+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| sentencias-corte-cons-colombia-1992-2021.
23750 Case law of the Colombia's Corte Constitucional.
Each row is a complete text of each case law.
23750 case law from 1992-2021.
Columns:
ID
Texto: Complete text of the sentence | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
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094794ba406881792473d6d32a26ab95e41c1dfc |
# langame-seeker
Self chat between two [Seeker Search-Augmented Language Model](https://parl.ai/projects/seeker/) using [Langame](https://langa.me/) conversation starters generated by Langame's proprietary language model. The 3000 conversation starters have been generated beforehand into an "offline" dataset and manu... | Langame/langame-seeker | [
"license:wtfpl",
"region:us"
] | 2022-06-30T05:38:27+00:00 | {"license": "wtfpl"} | 2022-06-30T05:42:22+00:00 | [] | [] | TAGS
#license-wtfpl #region-us
|
# langame-seeker
Self chat between two Seeker Search-Augmented Language Model using Langame conversation starters generated by Langame's proprietary language model. The 3000 conversation starters have been generated beforehand into an "offline" dataset and manually corrected and adjusted by psychologically and philos... | [
"# langame-seeker\n\nSelf chat between two Seeker Search-Augmented Language Model using Langame conversation starters generated by Langame's proprietary language model. The 3000 conversation starters have been generated beforehand into an \"offline\" dataset and manually corrected and adjusted by psychologically an... | [
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d37d90c7a9165b031a34065e3036ac979b8160ea | Num questions:
- train: 9,009
- val: 5,046
Num answers:
- train: 90,090
- val: 50,460
Num images:
- train: 8,998
- val: 5,033 | HuggingFaceM4/OK-VQA | [
"region:us"
] | 2022-06-30T08:59:10+00:00 | {} | 2022-06-30T12:35:02+00:00 | [] | [] | TAGS
#region-us
| Num questions:
- train: 9,009
- val: 5,046
Num answers:
- train: 90,090
- val: 50,460
Num images:
- train: 8,998
- val: 5,033 | [] | [
"TAGS\n#region-us \n"
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b34049cde0f0d716b965b826b6e3ddbaae7fee48 | # AutoTrain Dataset for project: mt5_chinese_small_finetune
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project mt5_chinese_small_finetune.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset... | dddb/autotrain-data-mt5_chinese_small_finetune | [
"region:us"
] | 2022-06-30T10:33:24+00:00 | {"task_categories": ["conditional-text-generation"]} | 2022-06-30T11:59:06+00:00 | [] | [] | TAGS
#region-us
| AutoTrain Dataset for project: mt5\_chinese\_small\_finetune
============================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project mt5\_chinese\_small\_finetune.
### Languages
The BCP-47 code for the dataset's ... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
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"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis d... | [
"TAGS\n#region-us \n",
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2e5f8d3dc550028d9ae1dbbb94476a6ae282134b |
# EVI
## Dataset Description
- **Paper:** [EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification](https://arxiv.org/abs/2204.13496)
- **Repository:** [Github](https://github.com/PolyAI-LDN/evi-paper)
EVI is a challenging spoken multilingual dataset
with 5... | PolyAI/evi | [
"annotations_creators:crowdsourced",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:multilingual",
"language:en",
"language:fr",
"language:pl",
"license:cc-by-4.0",
"arxiv:2204.13496",
"region:us"
] | 2022-06-30T10:42:45+00:00 | {"annotations_creators": ["crowdsourced", "machine-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["en", "fr", "pl"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "paperswithcode_id": "evi-multilingual-spoken-dialogue-tasks-and-1", "language_bcp47": ["en", "en-GB",... | 2022-10-25T09:39:33+00:00 | [
"2204.13496"
] | [
"en",
"fr",
"pl"
] | TAGS
#annotations_creators-crowdsourced #annotations_creators-machine-generated #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-multilingual #language-English #language-French #language-Polish #license-cc-by-4.0 #arxiv-2204.13496 #region-us
|
# EVI
## Dataset Description
- Paper: EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification
- Repository: Github
EVI is a challenging spoken multilingual dataset
with 5,506 dialogues in English, Polish, and French
that can be used for benchmarking and dev... | [
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cda65762ff140746a07e7e4cd2aedf17b555f5a8 | Num questions:
- val: 10,000
- test-dev: 36,807
Num answers:
- val: 100,000
Num images:
- val: 5,000
- test-dev: 36,807 | HuggingFaceM4/AdVQA | [
"region:us"
] | 2022-06-30T12:56:52+00:00 | {} | 2022-06-30T13:38:37+00:00 | [] | [] | TAGS
#region-us
| Num questions:
- val: 10,000
- test-dev: 36,807
Num answers:
- val: 100,000
Num images:
- val: 5,000
- test-dev: 36,807 | [] | [
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d24215071fc64685ee5a089688a4622b11d86786 |
This is the downloaded and processed data from Meta's [MetaICL](https://github.com/facebookresearch/MetaICL).
We follow their ["How to Download and Preprocess"](https://github.com/facebookresearch/MetaICL#how-to-download-and-preprocess) instructions to obtain their modified versions of [CrossFit](https://github.com/I... | allenai/metaicl-data | [
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#license-cc-by-nc-4.0 #arxiv-2005.00700 #region-us
|
This is the downloaded and processed data from Meta's MetaICL.
We follow their "How to Download and Preprocess" instructions to obtain their modified versions of CrossFit and UnifiedQA.
information
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6d6b24c4204a6731263bcd5ec76564bbdbfbca58 |
# 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/xtreme_en | [
"task_categories:token-classification",
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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... | [
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dd67b07acb615f16950e239d3e5035ffd40b696a |
# 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/xtreme_en_language_drift_es | [
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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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feb643d1f0a55643f91347b4c418d243343a94cd |
# 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/xtreme_en_token_drift | [
"task_categories:token-classification",
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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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e81e6a9ac798674b1a72239936bc4f71c4fa2c4e |
# Dataset Card for AMPERE
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Structure](#dataset-structure)
- [Dataset Creation](#dataset-creation)
## Dataset Description
This dataset is released together with our NAACL 2019 Paper "[`Argument Mini... | launch/ampere | [
"task_categories:text-classification",
"annotations_creators:expert-generated",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"region:us"
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#task_categories-text-classification #annotations_creators-expert-generated #multilinguality-monolingual #language-English #license-cc-by-4.0 #region-us
|
# Dataset Card for AMPERE
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
## Dataset Description
This dataset is released together with our NAACL 2019 Paper "'Argument Mining for Understanding Peer Reviews'". If you find our work useful, please cite:
This dat... | [
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5a77092c28e51558c5586e9c5eb71a7e17a5e43f |
# Dataset Card for tiny-imagenet
## Dataset Description
- **Homepage:** https://www.kaggle.com/c/tiny-imagenet
- **Repository:** [Needs More Information]
- **Paper:** http://cs231n.stanford.edu/reports/2017/pdfs/930.pdf
- **Leaderboard:** https://paperswithcode.com/sota/image-classification-on-tiny-imagenet-1
### D... | zh-plus/tiny-imagenet | [
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| Dataset Card for tiny-imagenet
==============================
Dataset Description
-------------------
* Homepage: URL
* Repository:
* Paper: URL
* Leaderboard: URL
### Dataset Summary
Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64×64 colored images. Each class has 500 t... | [
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f7abfbaa550a0d2cd478151aa437b303badc4dc9 | # AutoTrain Dataset for project: Rusynpannonianpure
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project Rusynpannonianpure.
### Languages
The BCP-47 code for the dataset's language is en2es.
## Dataset Structure
### Data Instances
A sample from this dataset looks as foll... | Tritkoman/autotrain-data-Rusynpannonianpure | [
"task_categories:translation",
"language:en",
"language:es",
"region:us"
] | 2022-07-01T04:20:02+00:00 | {"language": ["en", "es"], "task_categories": ["translation"]} | 2022-10-25T09:39:40+00:00 | [] | [
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| AutoTrain Dataset for project: Rusynpannonianpure
=================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project Rusynpannonianpure.
### Languages
The BCP-47 code for the dataset's language is en2es.
Dataset Stru... | [
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09feea6476dba673a37248873f4e6e9998f1913d | this dataset contains 5 columns
context, question, answer_start, answer_text, source
| Column | Description |
| :------------ |:---------------:|
| context | A general small paragraph in tamil language |
| question | question framed form the context |
| answer_text | text span that extracted ... | AswiN037/tamil-question-answering-dataset | [
"license:afl-3.0",
"region:us"
] | 2022-07-01T06:22:29+00:00 | {"license": "afl-3.0"} | 2022-07-01T06:53:56+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
| this dataset contains 5 columns
context, question, answer\_start, answer\_text, source
source
team KBA => (Karthi, Balaji, Azeez) these people manually created
CHAII =>a kaggle competition
XQA => multilingual QA dataset
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2ba908ef5001980a29cd652c16cebfe1a69035f8 | # 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/bigbird-pegasus-large-bigpatent
* Dataset: big_patent
To run new evaluation jobs, visit Hugging Face's... | autoevaluate/autoeval-staging-eval-project-a25a94fd-9305221 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-01T07:08:40+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["big_patent"], "eval_info": {"task": "summarization", "model": "google/bigbird-pegasus-large-bigpatent", "metrics": ["rouge"], "dataset_name": "big_patent", "dataset_config": "all", "dataset_split": "validation", "col_mapping": {"text": "descript... | 2022-07-02T11:09:46+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: google/bigbird-pegasus-large-bigpatent
* Dataset: big_patent
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
## Cont... | [
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13ad152ac29b49542dfbb3500c6b72a499731db8 | # GEM Submission
Submission name: This is a test submission 2
| GEM-submissions/lewtun__this-is-a-test-submission-2__1656667730 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
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#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: This is a test submission 2
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bba0491bc1ba950369eafcceb1d522537b54ab2e |
# Dataset Card for EXCEPTIUS Corpus
## 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-... | joelniklaus/covid19_emergency_event | [
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"source_datasets:original",
"language:en",
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"language:hu"... | 2022-07-01T10:26:15+00:00 | {"annotations_creators": ["found", "other"], "language_creators": ["found"], "language": ["en", "fr", "hu", "it", "nb", "nl", "pl"], "license": ["cc0-1.0"], "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["mu... | 2022-09-22T12:44:15+00:00 | [] | [
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=================================
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 Rat... | [
"### Dataset Summary\n\n\nThis dataset presents a new corpus of legislative documents from 8 European countries (Beglium, France, Hunary, Italy, Netherlands, Norway, Poland, UK) in 7 languages (Dutch, English, French, Hungarian, Italian, Norwegian Bokmål, Polish) manually annotated for exceptional measures against ... | [
"TAGS\n#task_categories-text-classification #task_ids-multi-label-classification #annotations_creators-found #annotations_creators-other #language_creators-found #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-original #language-English #language-French #language-Hungarian #language-Italian... | [
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"passage: TAGS\n#task_categories-text-classification #task_ids-multi-label-classification #annotations_creators-found #annotations_creators-other #language_creators-found #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-original #language-English #language-French #language-Hungarian #languag... |
576b52004ed78dd747c0f9858fa6dacc7e4196e2 |
# Dataset Card for Annotated German Legal Decision Corpus
## 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)
- [Datas... | joelniklaus/german_argument_mining | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:expert-generated",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:de",
"license:cc-by-4.0... | 2022-07-01T10:30:58+00:00 | {"annotations_creators": ["expert-generated", "found"], "language_creators": ["found"], "language": ["de"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classificati... | 2022-09-22T12:44:35+00:00 | [] | [
"de"
] | TAGS
#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-expert-generated #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-German #license-cc-by-4.0 #region-us
| Dataset Card for Annotated German Legal Decision Corpus
=======================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Da... | [
"### Dataset Summary\n\n\nThis dataset consists of 200 randomly chosen judgments. In these judgments a legal expert annotated the components\nconclusion, definition and subsumption of the German legal writing style Urteilsstil.\n\n\n*\"Overall 25,075 sentences are annotated. 5% (1,202) of these sentences are marked... | [
"TAGS\n#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-expert-generated #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-German #license-cc-by-4.0 #region-us \n",
"### D... | [
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"passage: TAGS\n#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-expert-generated #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-German #license-cc-by-4.0 #region-us \n##... |
e2bc5fd22217fdaa0054bb0eadbad8401d94dd50 |
# Dataset Card for Greek Legal Named Entity Recognition
## 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 ... | joelniklaus/greek_legal_ner | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:other",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:el",
"license:cc-by-nc-sa-4.0",
"legal",
"region:us"
] | 2022-07-01T10:34:33+00:00 | {"annotations_creators": ["other"], "language_creators": ["found"], "language": ["el"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_n... | 2023-09-27T16:48:13+00:00 | [] | [
"el"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-other #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Modern Greek (1453-) #license-cc-by-nc-sa-4.0 #legal #region-us
| Dataset Card for Greek Legal Named Entity Recognition
=====================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data S... | [
"### Dataset Summary\n\n\nThis dataset contains an annotated corpus for named entity recognition in Greek legislations. It is the first of its kind for the Greek language in such an extended form and one of the few that examines legal text in a full spectrum entity recognition.",
"### Supported Tasks and Leaderbo... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-other #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Modern Greek (1453-) #license-cc-by-nc-sa-4.0 #legal #region-us \n",
"### Dataset Summar... | [
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a072e8508049097fc216fd26bdd89a89e47e1272 |
# Dataset Card for Romanian Named Entity Recognition in the Legal domain (LegalNERo)
## 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)
- [Langu... | joelniklaus/legalnero | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:other",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:ro",
"license:cc-by-nc-nd-4.0",
"legal",
"region:us"
] | 2022-07-01T10:39:54+00:00 | {"annotations_creators": ["other"], "language_creators": ["found"], "language": ["ro"], "license": ["cc-by-nc-nd-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_n... | 2023-09-27T16:48:28+00:00 | [] | [
"ro"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-other #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Romanian #license-cc-by-nc-nd-4.0 #legal #region-us
| Dataset Card for Romanian Named Entity Recognition in the Legal domain (LegalNERo)
==================================================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Da... | [
"### Dataset Summary\n\n\nLegalNERo is a manually annotated corpus for named entity recognition in the Romanian legal domain. It provides gold annotations for organizations, locations, persons, time and legal resources mentioned in legal documents. Additionally it offers GEONAMES codes for the named entities annota... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-other #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Romanian #license-cc-by-nc-nd-4.0 #legal #region-us \n",
"### Dataset Summary\n\n\nLegal... | [
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448c5caa985b8dafb275294f226120f41a7f8251 |
# Dataset Card for A Corpus for Multilingual Analysis of Online Terms of Service
## 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)
- [La... | joelniklaus/online_terms_of_service | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:multi-label-classification",
"annotations_creators:found",
"annotations_creators:other",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"langu... | 2022-07-01T10:42:49+00:00 | {"annotations_creators": ["found", "other"], "language_creators": ["found"], "language": ["de", "en", "it", "pl"], "license": ["other"], "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classifica... | 2022-09-22T12:45:42+00:00 | [] | [
"de",
"en",
"it",
"pl"
] | TAGS
#task_categories-text-classification #task_ids-multi-class-classification #task_ids-multi-label-classification #annotations_creators-found #annotations_creators-other #language_creators-found #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-original #language-German #language-English #langu... | Dataset Card for A Corpus for Multilingual Analysis of Online Terms of Service
==============================================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset St... | [
"### Dataset Summary\n\n\n*\"We present the first annotated corpus for multilingual analysis of potentially unfair clauses in online Terms of\nService [=ToS]. The data set comprises a total of 100 contracts, obtained from 25 documents annotated in four different\nlanguages: English, German, Italian, and Polish. For... | [
"TAGS\n#task_categories-text-classification #task_ids-multi-class-classification #task_ids-multi-label-classification #annotations_creators-found #annotations_creators-other #language_creators-found #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-original #language-German #language-English ... | [
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"passage: TAGS\n#task_categories-text-classification #task_ids-multi-class-classification #task_ids-multi-label-classification #annotations_creators-found #annotations_creators-other #language_creators-found #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-original #language-German #language... |
63eb40318a0cb1e20a4bbf816e095d9e28af8094 |
# Dataset Card for SPGISpeech
## 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... | kensho/spgispeech_demo | [
"task_categories:automatic-speech-recognition",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"license:other",
"arxiv:2104.02014",
"region:us"
] | 2022-07-01T11:07:49+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition"], "task_ids": [], "pretty_name": "SpgiSpeech", "languages": ["en"]... | 2022-07-01T11:08:31+00:00 | [
"2104.02014"
] | [] | TAGS
#task_categories-automatic-speech-recognition #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #license-other #arxiv-2104.02014 #region-us
| Dataset Card for SPGISpeech
===========================
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... | [
"### Example Usage\n\n\nThe training split has several configurations of various size: S, M, L. See the Section Data Splits\nfor for more information. To download the S configuration:\n\n\nIt is possible to download only the development or test data:",
"### Supported Tasks and Leaderboards\n\n\n* 'automatic-speec... | [
"TAGS\n#task_categories-automatic-speech-recognition #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #license-other #arxiv-2104.02014 #region-us \n",
"### Example Usage\n\n\nThe training split has several configuratio... | [
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2f9aa77e76373edaf9fd26f2b4b42a14d230c956 |
# Dataset Card for Images of Cervical Cells with AgNOR Stain Technique
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structu... | lapix/CCAgT | [
"task_categories:image-segmentation",
"task_categories:object-detection",
"task_ids:semantic-segmentation",
"task_ids:instance-segmentation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:ori... | 2022-07-01T11:27:09+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["cc-by-nc-3.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["image-segmentation", "object-detection"], "task_ids": ["se... | 2022-07-27T20:11:52+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-segmentation #task_categories-object-detection #task_ids-semantic-segmentation #task_ids-instance-segmentation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #licens... | Dataset Card for Images of Cervical Cells with AgNOR Stain Technique
====================================================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields... | [
"### Dataset Summary\n\n\nThe CCAgT (Images of Cervical Cells with AgNOR Stain Technique) dataset contains 9339 images (1600x1200 resolution where each pixel is 0.111µmX0.111µm) from 15 different slides stained using the AgNOR technique. Each image has at least one label. In total, this dataset has more than 63K in... | [
"TAGS\n#task_categories-image-segmentation #task_categories-object-detection #task_ids-semantic-segmentation #task_ids-instance-segmentation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #... | [
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64f93ccd51d919efda61d1cdde92dc31e52deadd | efdsv | gegham/tensor | [
"region:us"
] | 2022-07-01T12:49:46+00:00 | {} | 2022-07-13T12:07:12+00:00 | [] | [] | TAGS
#region-us
| efdsv | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
4eb44157012b9ec251767721d6bae55cf0c564e2 |
## Dataset Description
- **Homepage:** [www.sen4agrinet.space.noa.gr](https://www.sen4agrinet.space.noa.gr/)
- **Repository:** [github.com/Orion-AI-Lab/S4A](https://github.com/Orion-AI-Lab/S4A)
- **Paper:** ["A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep l... | paren8esis/S4A | [
"arxiv:2204.00951",
"region:us"
] | 2022-07-01T15:26:54+00:00 | {} | 2023-10-24T07:15:34+00:00 | [
"2204.00951"
] | [] | TAGS
#arxiv-2204.00951 #region-us
|
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: "A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning" (D. Sykas, M. Sdraka, D. Zografakis, I. Papoutsis
### Dataset Summary
Sen4AgriNet is a Sentinel-2 based time series multi-country b... | [
"## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: \"A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning\" (D. Sykas, M. Sdraka, D. Zografakis, I. Papoutsis",
"### Dataset Summary\n\nSen4AgriNet is a Sentinel-2 based time series... | [
"TAGS\n#arxiv-2204.00951 #region-us \n",
"## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: \"A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning\" (D. Sykas, M. Sdraka, D. Zografakis, I. Papoutsis",
"### Dataset Summary\n\nSe... | [
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"passage: TAGS\n#arxiv-2204.00951 #region-us \n## Dataset Description\n\n- Homepage: URL\n- Repository: URL\n- Paper: \"A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning\" (D. Sykas, M. Sdraka, D. Zografakis, I. Papoutsis### Dataset Summary\n\nSen4A... |
cecdd5845d29aa5a62fbcecf294d1b72d8fd860b |
This dataset contains **5,242,391** samples of Ukrainian news headlines.
Usage:
```python
from datasets import load_dataset
ds = load_dataset('Yehor/ukrainian-news-headlines', split='train')
for row in ds:
print(row['headline'])
```
Attribution to the dataset:
- Chaplynskyi, D. et al. (2021) lang-uk Ukrainia... | Yehor/ukrainian-news-headlines | [
"language:uk",
"license:cc-by-nc-sa-4.0",
"uk",
"region:us"
] | 2022-07-01T17:12:19+00:00 | {"language": ["uk"], "license": "cc-by-nc-sa-4.0", "tags": ["uk"]} | 2022-07-30T16:39:30+00:00 | [] | [
"uk"
] | TAGS
#language-Ukrainian #license-cc-by-nc-sa-4.0 #uk #region-us
|
This dataset contains 5,242,391 samples of Ukrainian news headlines.
Usage:
Attribution to the dataset:
- Chaplynskyi, D. et al. (2021) lang-uk Ukrainian Ubercorpus [Data set]. URL
| [] | [
"TAGS\n#language-Ukrainian #license-cc-by-nc-sa-4.0 #uk #region-us \n"
] | [
28
] | [
"passage: TAGS\n#language-Ukrainian #license-cc-by-nc-sa-4.0 #uk #region-us \n"
] |
4e75b1b7fabb453a60a571bc9ccc2b95b9789fe0 |
# Dataset Card for "UnpredicTable-full" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
-... | MicPie/unpredictable_full | [
"task_categories:multiple-choice",
"task_categories:question-answering",
"task_categories:zero-shot-classification",
"task_categories:text2text-generation",
"task_categories:table-question-answering",
"task_categories:text-generation",
"task_categories:text-classification",
"task_categories:tabular-cl... | 2022-07-02T19:22:21+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["multiple-choice", "question-answering", "zero-shot-classification", "text2text-gene... | 2022-08-04T19:07:28+00:00 | [
"2208.01009"
] | [
"en"
] | TAGS
#task_categories-multiple-choice #task_categories-question-answering #task_categories-zero-shot-classification #task_categories-text2text-generation #task_categories-table-question-answering #task_categories-text-generation #task_categories-text-classification #task_categories-tabular-classification #task_ids-mult... |
# Dataset Card for "UnpredicTable-full" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotat... | [
"# Dataset Card for \"UnpredicTable-full\" - Dataset of Few-shot Tasks from Tables",
"## 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 - Sou... | [
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7b34cb148522a73022791027f729cc9518da2a05 |
# Dataset Card for SciTail
## Dataset Description
- **Homepage:** https://allenai.org/data/scitail
- **Pubmed:** False
- **Public:** True
- **Tasks:** TE
The SciTail dataset is an entailment dataset created from multiple-choice science exams and web sentences. Each question and the correct answer choice are conve... | bigbio/scitail | [
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|
# Dataset Card for SciTail
## Dataset Description
- Homepage: URL
- Pubmed: False
- Public: True
- Tasks: TE
The SciTail dataset is an entailment dataset created from multiple-choice science exams and web sentences. Each question and the correct answer choice are converted into an assertive statement to form the ... | [
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dad2cadd8d501bf91facd78bbd7a598d98f32e7e | # 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: lewtun/sagemaker-distilbert-emotion
* Dataset: emotion
To run new evaluation jobs, visit Hu... | autoevaluate/autoeval-staging-eval-project-854c0218-9415245 | [
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"evaluation",
"region:us"
] | 2022-07-02T21:28:07+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "lewtun/sagemaker-distilbert-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "targe... | 2022-07-02T21:28:44+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: Multi-class Text Classification
* Model: lewtun/sagemaker-distilbert-emotion
* Dataset: emotion
To run new evaluation jobs, visit Hugging Face's automatic model evaluat... | [
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f68d414189a214d5a52b5842006e55eb8b95a337 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: gabrielaltay/autotrain-at-test-bb-tmp-scitail-1078438446
* Dataset: bigscience-biomedical/tmp-sci... | autoevaluate/autoeval-staging-eval-project-562e1223-9425246 | [
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Binary Text Classification
* Model: gabrielaltay/autotrain-at-test-bb-tmp-scitail-1078438446
* Dataset: bigscience-biomedical/tmp-scitail
To run new evaluation jobs, vi... | [
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d40231fb47c493a4a6cbdc01e69ef4193b27bd2c | # AutoTrain Dataset for project: new_model
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project new_model.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```json
[
{
... | dddb/autotrain-data-new_model | [
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| AutoTrain Dataset for project: new\_model
=========================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project new\_model.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
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fc9df95d425ad80e3a96ff6a7738b8fb93ee3c80 | # AutoTrain Dataset for project: persina-paraphrase
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project persina-paraphrase.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follow... | mahdiAsefi/autotrain-data-persina-paraphrase | [
"region:us"
] | 2022-07-03T05:49:08+00:00 | {"task_categories": ["conditional-text-generation"]} | 2022-07-03T05:53:16+00:00 | [] | [] | TAGS
#region-us
| AutoTrain Dataset for project: persina-paraphrase
=================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project persina-paraphrase.
### Languages
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85aaa66a7843304692990eea17bc3b89ef99aac5 |
# Dataset Card for "UnpredicTable-mmo-champion-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | MicPie/unpredictable_mmo-champion-com | [
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"task_categories:tabular-cl... | 2022-07-03T07:15:38+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["multiple-choice", "question-answering", "zero-shot-classification", "text2text-gene... | 2022-08-04T19:09:49+00:00 | [
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# Dataset Card for "UnpredicTable-mmo-champion-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- Dataset Description
- Dataset Summary
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- Languages
- Dataset Structure
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ccd340079cf7705fabed9a460fdff394abac01bd |
# Dataset Card for "UnpredicTable-baseball-fantasysports-yahoo-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Struct... | MicPie/unpredictable_baseball-fantasysports-yahoo-com | [
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# Dataset Card for "UnpredicTable-baseball-fantasysports-yahoo-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
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f4f1dcb833270d8e0319a2a86cfa3805fb3e4081 |
# Dataset Card for "UnpredicTable-phonearena-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-stru... | MicPie/unpredictable_phonearena-com | [
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# Dataset Card for "UnpredicTable-phonearena-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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944fe3f43c298ca526eeb51927210795ab4721a0 |
# (NER) ontonotes-v5-eng-v4
This dataset is subset of [conll2012_ontonotesv5](https://huggingface.co/datasets/conll2012_ontonotesv5) original dataset.
- Language: english
- Version: v4
| Dataset | Examples |
| --- | --- |
| Training | 75187 |
| Testing | 9479 |
| djagatiya/ner-ontonotes-v5-eng-v4 | [
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| (NER) ontonotes-v5-eng-v4
=========================
This dataset is subset of conll2012\_ontonotesv5 original dataset.
* Language: english
* Version: v4
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0b76fc0ecb5ea9fe99a5d5be9812716664061013 |
# Dataset Card for "UnpredicTable-support-google-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-... | MicPie/unpredictable_support-google-com | [
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# Dataset Card for "UnpredicTable-support-google-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- Dataset Description
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# Dataset Card for "UnpredicTable-dividend-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-struct... | MicPie/unpredictable_dividend-com | [
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# Dataset Card for "UnpredicTable-dividend-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
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- Dataset Creation
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# Dataset Card for "UnpredicTable-bulbapedia-bulbagarden-net" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#... | MicPie/unpredictable_bulbapedia-bulbagarden-net | [
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# Dataset Card for "UnpredicTable-bulbapedia-bulbagarden-net" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
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- Dataset Creation
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# Dataset Card for "UnpredicTable-wkdu-org" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)... | MicPie/unpredictable_wkdu-org | [
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# Dataset Card for "UnpredicTable-wkdu-org" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
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# Dataset Card for "UnpredicTable-dummies-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structu... | MicPie/unpredictable_dummies-com | [
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# Dataset Card for "UnpredicTable-dummies-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
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- Dataset Creation
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13f3febb67413609d9cb25545f3587fa2ca5604d |
# Dataset Card for "AdapTable-mgoblog-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... | MicPie/unpredictable_mgoblog-com | [
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# Dataset Card for "AdapTable-mgoblog-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
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91c25524931b0f421ab607c20c1a7bc6199be922 |
# Dataset Card for "UnpredicTable-gamefaqs-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-struct... | MicPie/unpredictable_gamefaqs-com | [
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# Dataset Card for "UnpredicTable-gamefaqs-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
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832c7304a9b4dbd1c3f7a436d5e644c78084962d |
# Dataset Card for "UnpredicTable-studystack-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-stru... | MicPie/unpredictable_studystack-com | [
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# Dataset Card for "UnpredicTable-studystack-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
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2af65195e39bd9839053773b0afb1a330165449c |
# Dataset Card for "UnpredicTable-sittercity-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-stru... | MicPie/unpredictable_sittercity-com | [
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# Dataset Card for "UnpredicTable-sittercity-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
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107a673e9688ef4bc63e27884e16e2c741ee494d |
# Dataset Card for "UnpredicTable-msdn-microsoft-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
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# Dataset Card for "UnpredicTable-msdn-microsoft-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- Dataset Description
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- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
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# Dataset Card for "UnpredicTable-cappex.com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structur... | MicPie/unpredictable_cappex-com | [
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# Dataset Card for "URL" - Dataset of Few-shot Tasks from Tables
## Table of Contents
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# Dataset Card for "UnpredicTable-en-wikipedia-org" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | MicPie/unpredictable_en-wikipedia-org | [
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# Dataset Card for "UnpredicTable-en-wikipedia-org" - Dataset of Few-shot Tasks from Tables
## Table of Contents
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- Languages
- Dataset Structure
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# Dataset Card for "UnpredicTable-cram-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)... | MicPie/unpredictable_cram-com | [
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# Dataset Card for "UnpredicTable-cram-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
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- Supported Tasks
- Languages
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- Data Instances
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# Dataset Card for "UnpredicTable-w3-org" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
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# Dataset Card for "UnpredicTable-w3-org" - Dataset of Few-shot Tasks from Tables
## Table of Contents
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- Supported Tasks
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# Dataset Card for "UnpredicTable-sporcle-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structu... | MicPie/unpredictable_sporcle-com | [
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# Dataset Card for "UnpredicTable-sporcle-com" - Dataset of Few-shot Tasks from Tables
## Table of Contents
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# Dataset Card for "UnpredicTable-wiki-openmoko-org" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-s... | MicPie/unpredictable_wiki-openmoko-org | [
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# Dataset Card for "UnpredicTable-wiki-openmoko-org" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- Dataset Description
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- Data Instances
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# Dataset Card for "UnpredicTable-ensembl-org" - Dataset of Few-shot Tasks from Tables
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structu... | MicPie/unpredictable_ensembl-org | [
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# Dataset Card for "UnpredicTable-ensembl-org" - Dataset of Few-shot Tasks from Tables
## Table of Contents
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- extended|squad_v2
task_categories:
- question-answering
task_ids:
- open-domain-qa
- extra... | [
"# Dataset Card for ua-squad",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive ... | [
"TAGS\n#region-us \n",
"# Dataset Card for ua-squad",
"## 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 ... | [
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"passage: TAGS\n#region-us \n# Dataset Card for ua-squad## 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 - P... |
2109baf2b05a833eff82638f74fafe5162bf9c80 | from datasets import load_dataset
dataset = load_dataset("1989shack/1989shack.com") | 1989shack/1989shack.com | [
"license:apache-2.0",
"region:us"
] | 2022-07-03T14:36:48+00:00 | {"license": "apache-2.0"} | 2022-12-04T00:45:42+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| from datasets import load_dataset
dataset = load_dataset("1989shack/URL") | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
c2dd5ab3983839f23d24c455c115d39634fe2f2c | # Dataset Card for [corpusELE.csv]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | FJC/corpusELE.csv | [
"region:us"
] | 2022-07-03T17:26:08+00:00 | {} | 2022-07-06T21:06:44+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for [URL]
## 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
- Personal an... | [
"# Dataset Card for [URL]",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annot... | [
"TAGS\n#region-us \n",
"# Dataset Card for [URL]",
"## 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 ... | [
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"passage: TAGS\n#region-us \n# Dataset Card for [URL]## 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 - ... |
b76b66326552bd73cd041a6090c8b3eb5f7e3f55 | # AutoTrain Dataset for project: sum-200-random
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project sum-200-random.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```js... | mf99/autotrain-data-sum-200-random | [
"language:en",
"region:us"
] | 2022-07-03T19:38:28+00:00 | {"language": ["en"], "task_categories": ["conditional-text-generation"]} | 2022-10-23T05:22:05+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
| AutoTrain Dataset for project: sum-200-random
=============================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project sum-200-random.
### Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
---------... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis da... | [
"TAGS\n#language-English #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"featur... | [
10,
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"passage: TAGS\n#language-English #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):###... |
7c23e66a959c1f7198c25fd82111d6c633e8d514 | annotations_creators:
- other
language:
- en
language_creators:
- found
license:
- gpl-3.0
multilinguality:
- monolingual
pretty_name: The World's Sentiment
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- other
task_ids: []
# Dataset Card for The World's Sentiment
## Table of Contents
- [Da... | EnZon3/The-Worlds-Sentiment | [
"region:us"
] | 2022-07-03T23:56:51+00:00 | {} | 2022-07-04T22:08:24+00:00 | [] | [] | TAGS
#region-us
| annotations\_creators:
* other
language:
* en
language\_creators:
* found
license:
* gpl-3.0
multilinguality:
* monolingual
pretty\_name: The World's Sentiment
size\_categories:
* 1K<n<10K
source\_datasets:
* original
task\_categories:
* other
task\_ids: []
Dataset Card for The World's Sentiment
===================... | [
"### Dataset Summary\n\n\nThe World's Sentiment is a dataset of news headlines' titles and their sentiment scores. This dataset was for a project of mine to see how positive or negative events in the world are. There are some use cases for this dataset, if you use only the headlines, you could train an AI to genera... | [
"TAGS\n#region-us \n",
"### Dataset Summary\n\n\nThe World's Sentiment is a dataset of news headlines' titles and their sentiment scores. This dataset was for a project of mine to see how positive or negative events in the world are. There are some use cases for this dataset, if you use only the headlines, you co... | [
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"passage: TAGS\n#region-us \n### Dataset Summary\n\n\nThe World's Sentiment is a dataset of news headlines' titles and their sentiment scores. This dataset was for a project of mine to see how positive or negative events in the world are. There are some use cases for this dataset, if you use only the headlines, you... |
dd93e7ba97dd8c0776cb50249b0e1d53e4076b2c |
# Dataset Card for Yincen/SalienceEvaluation
## 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](... | Yincen/SalienceEvaluation | [
"task_categories:text-classification",
"task_ids:multi-input-text-classification",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:zh",
"license:gpl-3.0",
"region:us"
] | 2022-07-04T01:10:27+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["zh"], "license": ["gpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-input-text-classification"], "pre... | 2022-07-04T01:36:58+00:00 | [] | [
"zh"
] | TAGS
#task_categories-text-classification #task_ids-multi-input-text-classification #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Chinese #license-gpl-3.0 #region-us
|
# Dataset Card for Yincen/SalienceEvaluation
## 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
- Annota... | [
"# Dataset Card for Yincen/SalienceEvaluation",
"## 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 - So... | [
"TAGS\n#task_categories-text-classification #task_ids-multi-input-text-classification #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Chinese #license-gpl-3.0 #region-us \n",
"# Dataset Card for Yincen/Salienc... | [
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"passage: TAGS\n#task_categories-text-classification #task_ids-multi-input-text-classification #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Chinese #license-gpl-3.0 #region-us \n# Dataset Card for Yincen/Sali... |
b316ca521cc2a96d5b628af83cb7a5cfed424027 | hi hi | Jeongyeon/SynthDoG | [
"region:us"
] | 2022-07-04T05:13:54+00:00 | {} | 2022-07-04T07:59:17+00:00 | [] | [] | TAGS
#region-us
| hi hi | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
eb915043fa53039237e47183108b7aaf19b7da9e |
# IndoLVCSR
TITML-IDN (Tokyo Institute of Technology Multilingual - Indonesian) is collected and proposed by the authors of "A Large Vocabulary Continuous Speech Recognition System for Indonesian Language". The text transcriptions are obtained from newspaper and magazine articles. The speech is recorded from 20 speak... | holylovenia/TITML-IDN | [
"task_categories:automatic-speech-recognition",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:id",
"license:other",
"speech-recognition",
"region:us"
] | 2022-07-04T05:25:01+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["id"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition"], "task_ids": [], "pretty_name": "TITML-IDN: A... | 2022-10-25T05:23:17+00:00 | [] | [
"id"
] | TAGS
#task_categories-automatic-speech-recognition #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Indonesian #license-other #speech-recognition #region-us
|
# IndoLVCSR
TITML-IDN (Tokyo Institute of Technology Multilingual - Indonesian) is collected and proposed by the authors of "A Large Vocabulary Continuous Speech Recognition System for Indonesian Language". The text transcriptions are obtained from newspaper and magazine articles. The speech is recorded from 20 speak... | [
"# IndoLVCSR\n\nTITML-IDN (Tokyo Institute of Technology Multilingual - Indonesian) is collected and proposed by the authors of \"A Large Vocabulary Continuous Speech Recognition System for Indonesian Language\". The text transcriptions are obtained from newspaper and magazine articles. The speech is recorded from ... | [
"TAGS\n#task_categories-automatic-speech-recognition #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Indonesian #license-other #speech-recognition #region-us \n",
"# IndoLVCSR\n\nTITML-IDN (Tokyo Institute o... | [
88,
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] | [
"passage: TAGS\n#task_categories-automatic-speech-recognition #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Indonesian #license-other #speech-recognition #region-us \n# IndoLVCSR\n\nTITML-IDN (Tokyo Institut... |
ee6ef3917f0210c08e7337f318b99b48c4c4c4c0 | This dataset contains embeddings of the abstracts of ArXiv Machine Learning papers.
The embeddings are produced from sentence-transformers/paraphrase-MiniLM-L6-v2. The model can be accessed here: <a href = "https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L6-v2/discussions/2">HuggingFace Sentence Transfo... | CShorten/ArXiv-ML-Abstract-Embeddings | [
"region:us"
] | 2022-07-04T11:47:11+00:00 | {} | 2022-07-04T12:13:37+00:00 | [] | [] | TAGS
#region-us
| This dataset contains embeddings of the abstracts of ArXiv Machine Learning papers.
The embeddings are produced from sentence-transformers/paraphrase-MiniLM-L6-v2. The model can be accessed here: <a href = "URL Sentence Transformers </a>
The original dataset before embedding can be accessed here: <a href = "URL ArXiv... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
7c2cd16a06fdbd304e68d85877485fde46e97312 | This dataset contains embeddings of the titles of ArXiv Machine Learning papers.
The embeddings are produced from sentence-transformers/paraphrase-MiniLM-L6-v2. The model can be accessed here: HuggingFace Sentence Transformers
The original dataset before embedding can be accessed here: ML ArXiv Papers | CShorten/ArXiv-ML-Title-Embeddings | [
"region:us"
] | 2022-07-04T12:14:10+00:00 | {} | 2022-07-04T12:44:15+00:00 | [] | [] | TAGS
#region-us
| This dataset contains embeddings of the titles of ArXiv Machine Learning papers.
The embeddings are produced from sentence-transformers/paraphrase-MiniLM-L6-v2. The model can be accessed here: HuggingFace Sentence Transformers
The original dataset before embedding can be accessed here: ML ArXiv Papers | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
df94aa548fa4f93e16c6c269a99f0bd746a2ed1f | Do cite the below reference for using the dataset:
@inproceedings{marreddy2021clickbait,
title={Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques},
author={Marreddy, Mounika and Oota, Subba Reddy and Vakada, Lakshmi Sireesha and Chinni, Venkata Charan ... | mounikaiiith/Telugu_Clickbait | [
"license:cc-by-4.0",
"region:us"
] | 2022-07-04T13:45:04+00:00 | {"license": "cc-by-4.0"} | 2022-07-04T13:59:27+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| Do cite the below reference for using the dataset:
@inproceedings{marreddy2021clickbait,
title={Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques},
author={Marreddy, Mounika and Oota, Subba Reddy and Vakada, Lakshmi Sireesha and Chinni, Venkata Charan ... | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
] | [
15
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
] |
daa94bf882e19183a05424eef5af19a1f685a251 |
# Icelandic WinoGrande dataset
This is the Icelandic WinoGrande dataset described in the IceBERT paper https://aclanthology.org/2022.lrec-1.464.pdf .
## Translation and localization
The records were manually translated and localized (skipped if localization was not possible) from English.
For the examples which were... | mideind/icelandic-winogrande | [
"language:is",
"license:cc-by-4.0",
"region:us"
] | 2022-07-04T14:41:06+00:00 | {"language": ["is"], "license": "cc-by-4.0"} | 2024-01-19T07:40:02+00:00 | [] | [
"is"
] | TAGS
#language-Icelandic #license-cc-by-4.0 #region-us
|
# Icelandic WinoGrande dataset
This is the Icelandic WinoGrande dataset described in the IceBERT paper URL .
## Translation and localization
The records were manually translated and localized (skipped if localization was not possible) from English.
For the examples which were singlets instead of sentence pairs we ad... | [
"# Icelandic WinoGrande dataset\n\nThis is the Icelandic WinoGrande dataset described in the IceBERT paper URL .",
"## Translation and localization\nThe records were manually translated and localized (skipped if localization was not possible) from English.\nFor the examples which were singlets instead of sentence... | [
"TAGS\n#language-Icelandic #license-cc-by-4.0 #region-us \n",
"# Icelandic WinoGrande dataset\n\nThis is the Icelandic WinoGrande dataset described in the IceBERT paper URL .",
"## Translation and localization\nThe records were manually translated and localized (skipped if localization was not possible) from En... | [
22,
30,
190
] | [
"passage: TAGS\n#language-Icelandic #license-cc-by-4.0 #region-us \n# Icelandic WinoGrande dataset\n\nThis is the Icelandic WinoGrande dataset described in the IceBERT paper URL .## Translation and localization\nThe records were manually translated and localized (skipped if localization was not possible) from Engli... |
8f65fde41b0e3362383eaf9e7f0dbfa53bf5e487 | #samples=5007831
```
dataset = load_dataset('lyakaap/laion2B-japanese-subset', split='train')
dataset = dataset.remove_columns(['LANGUAGE', 'NSFW', 'LICENSE', 'SAMPLE_ID'])
dataset = dataset.filter(lambda x: x['HEIGHT'] <= 384 and x['WIDTH'] <= 384)
dataset = dataset.filter(lambda x: x['HEIGHT'] >= 128 and x['WIDTH'] ... | lyakaap/laion-mini-ja | [
"region:us"
] | 2022-07-04T22:18:55+00:00 | {} | 2022-07-05T01:30:45+00:00 | [] | [] | TAGS
#region-us
| #samples=5007831
| [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
a7ea759535bb9fad6361cca151cf94a46e88edf3 | # Dataset Card for Multilingual HateCheck
## Dataset Description
Multilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.
For each language, there are 25+ functional t... | Paul/hatecheck-spanish | [
"task_categories:text-classification",
"task_ids:hate-speech-detection",
"annotations_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:es",
"license:cc-by-4.0",
"arxiv:2206.09917",
"regi... | 2022-07-05T09:06:37+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["expert-generated"], "language": ["es"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["hate-speech-detection"], "pr... | 2022-07-05T09:27:07+00:00 | [
"2206.09917"
] | [
"es"
] | TAGS
#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-crowdsourced #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Spanish #license-cc-by-4.0 #arxiv-2206.09917 #region-us
| # Dataset Card for Multilingual HateCheck
## Dataset Description
Multilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.
For each language, there are 25+ functional t... | [
"# Dataset Card for Multilingual HateCheck",
"## Dataset Description\n\nMultilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.\nFor each language, there are 25+... | [
"TAGS\n#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-crowdsourced #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Spanish #license-cc-by-4.0 #arxiv-2206.09917 #region-us \n",
"# Dataset Card... | [
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"passage: TAGS\n#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-crowdsourced #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Spanish #license-cc-by-4.0 #arxiv-2206.09917 #region-us \n# Dataset C... |
323bdf67e0fbd3d7f8086fad0971b5bd5a62524b | # Dataset Card for Multilingual HateCheck
## Dataset Description
Multilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.
For each language, there are 25+ functional t... | Paul/hatecheck-portuguese | [
"task_categories:text-classification",
"task_ids:hate-speech-detection",
"annotations_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:pt",
"license:cc-by-4.0",
"arxiv:2206.09917",
"regi... | 2022-07-05T09:21:24+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["expert-generated"], "language": ["pt"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["hate-speech-detection"], "pr... | 2022-07-05T09:27:47+00:00 | [
"2206.09917"
] | [
"pt"
] | TAGS
#task_categories-text-classification #task_ids-hate-speech-detection #annotations_creators-crowdsourced #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Portuguese #license-cc-by-4.0 #arxiv-2206.09917 #region-us
| # Dataset Card for Multilingual HateCheck
## Dataset Description
Multilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.
For each language, there are 25+ functional t... | [
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28d7098e2e5a211c4810d0a4d8deccc5889e55b6 | # Dataset Card for Multilingual HateCheck
## Dataset Description
Multilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.
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| # Dataset Card for Multilingual HateCheck
## Dataset Description
Multilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.
For each language, there are 25+ functional t... | [
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"## Dataset Description\n\nMultilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.\nFor each language, there are 25+... | [
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617d3e9fccd186277297cc305f6588af7384b008 | # Dataset Card for Multilingual HateCheck
## Dataset Description
Multilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.
For each language, there are 25+ functional t... | Paul/hatecheck-mandarin | [
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| # Dataset Card for Multilingual HateCheck
## Dataset Description
Multilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.
For each language, there are 25+ functional t... | [
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"## Dataset Description\n\nMultilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.\nFor each language, there are 25+... | [
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21e3d5c827cb60619a89988b24979850a7af85a5 | # Dataset Card for Multilingual HateCheck
## Dataset Description
Multilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.
For each language, there are 25+ functional t... | Paul/hatecheck-italian | [
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| # Dataset Card for Multilingual HateCheck
## Dataset Description
Multilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.
For each language, there are 25+ functional t... | [
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"## Dataset Description\n\nMultilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.\nFor each language, there are 25+... | [
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e9e68e1a4db04726b9278192377049d0f9693012 | # Dataset Card for Multilingual HateCheck
## Dataset Description
Multilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.
For each language, there are 25+ functional t... | Paul/hatecheck-hindi | [
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| # Dataset Card for Multilingual HateCheck
## Dataset Description
Multilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.
For each language, there are 25+ functional t... | [
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"## Dataset Description\n\nMultilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.\nFor each language, there are 25+... | [
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5229a5cc475f36c08d03ca52f0ccb005705e60d2 | # Dataset Card for Multilingual HateCheck
## Dataset Description
Multilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.
For each language, there are 25+ functional t... | Paul/hatecheck-german | [
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"regi... | 2022-07-05T09:36:48+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["expert-generated"], "language": ["de"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["hate-speech-detection"], "pr... | 2022-07-05T09:38:52+00:00 | [
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| # Dataset Card for Multilingual HateCheck
## Dataset Description
Multilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.
For each language, there are 25+ functional t... | [
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"## Dataset Description\n\nMultilingual HateCheck (MHC) is a suite of functional tests for hate speech detection models in 10 different languages: Arabic, Dutch, French, German, Hindi, Italian, Mandarin, Polish, Portuguese and Spanish.\nFor each language, there are 25+... | [
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