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9ff0802fd214ff243b5b99821c140facc3bc0447 |
# Dataset Card for KOMET
### Dataset Summary
KOMET 1.0 is a hand-annotated Slovenian corpus of metaphorical expressions which contains about 200 000 words (across 13 963 sentences) from Slovene journalistic, fiction and online texts.
### Supported Tasks and Leaderboards
Metaphor detection, metaphor type classific... | cjvt/komet | [
"task_categories:token-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:sl",
"license:cc-by-nc-sa-4.0",
"metaphor-classification",
"metaphor-frame-classification",
"multiword-expression-detec... | 2022-08-16T15:34:18+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["sl"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["token-classification"], "task_ids": [], "pretty_name": "KOMET", "tags": ["... | 2022-11-27T16:34:59+00:00 | [] | [
"sl"
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|
# Dataset Card for KOMET
### Dataset Summary
KOMET 1.0 is a hand-annotated Slovenian corpus of metaphorical expressions which contains about 200 000 words (across 13 963 sentences) from Slovene journalistic, fiction and online texts.
### Supported Tasks and Leaderboards
Metaphor detection, metaphor type classific... | [
"# Dataset Card for KOMET",
"### Dataset Summary\n\nKOMET 1.0 is a hand-annotated Slovenian corpus of metaphorical expressions which contains about 200 000 words (across 13 963 sentences) from Slovene journalistic, fiction and online texts.",
"### Supported Tasks and Leaderboards\n\nMetaphor detection, metaphor... | [
"TAGS\n#task_categories-token-classification #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #language-Slovenian #license-cc-by-nc-sa-4.0 #metaphor-classification #metaphor-frame-classification #multiword-expression-detection #region-us \n",
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985b28997847ac8a3841862f1754d4484132ee7a | # Dataset Card for "relbert/semeval2012_relational_similarity_v2"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://aclanthology.org/S12-1047/](https://aclanthology.org/S12-1047/)
- **Dataset:** SemEval2012: Relational Similarity
### Dataset Summary
***IMPOR... | research-backup/semeval2012_relational_similarity_v2 | [
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"license:other",
"region:us"
] | 2022-08-16T16:58:55+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "pretty_name": "SemEval2012 task 2 Relational Similarity"} | 2022-08-16T18:38:09+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-other #region-us
| Dataset Card for "relbert/semeval2012\_relational\_similarity\_v2"
==================================================================
Dataset Description
-------------------
* Repository: RelBERT
* Paper: URL
* Dataset: SemEval2012: Relational Similarity
### Dataset Summary
*IMPORTANT*: This is the same dataset... | [
"### Dataset Summary\n\n\n*IMPORTANT*: This is the same dataset as relbert/semeval2012\\_relational\\_similarity,\nbut with a different train/validation split.\n\n\nRelational similarity dataset from SemEval2012 task 2, compiled to fine-tune RelBERT model.\nThe dataset contains a list of positive and negative word ... | [
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"### Dataset Summary\n\n\n*IMPORTANT*: This is the same dataset as relbert/semeval2012\\_relational\\_similarity,\nbut with a different train/validation split.\n\n\nRelational similarity dataset from Sem... | [
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320d19aa562db0561143c3dce198be5d5e50a66f | # Dataset Card for CNN Dailymail Dutch 🇳🇱🇧🇪 Dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data In... | yhavinga/cnn_dailymail_dutch | [
"task_categories:summarization",
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"source_datasets:original",
"language:nl",
"license:apache-2.0",
"region:us"
] | 2022-08-16T17:25:06+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["nl"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": ["news-articles-summarization"], "paperswith... | 2022-08-20T11:39:20+00:00 | [] | [
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| Dataset Card for CNN Dailymail Dutch 🇳🇱🇧🇪 Dataset
=================================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation... | [
"### Dataset Summary\n\n\nThe CNN / DailyMail Dutch 🇳🇱🇧🇪 Dataset is an English-language dataset translated to Dutch containing just over 300k unique news articles as written by journalists at CNN and the Daily Mail. The current version supports both extractive and abstractive summarization, though the original ... | [
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6c8113e72a5aed919dbf615ed37723d393e7b27b | This is a reproduction of the CC-stories dataset as it has been removed from its original source.
To create this reproduction we process the English common crawl and only keep the top 0.1% of documents measured by their ngram overlap with a source document.
The source document is created by joining the queries from [P... | spacemanidol/cc-stories | [
"region:us"
] | 2022-08-16T20:35:11+00:00 | {} | 2023-05-02T10:48:55+00:00 | [] | [] | TAGS
#region-us
| This is a reproduction of the CC-stories dataset as it has been removed from its original source.
To create this reproduction we process the English common crawl and only keep the top 0.1% of documents measured by their ngram overlap with a source document.
The source document is created by joining the queries from PD... | [] | [
"TAGS\n#region-us \n"
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6
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a58ef17502a26a12b307ac3571cda569c90b9d48 |
# Dataset Card for "tner/ttc" (Dummy)
***WARNING***: This is a dummy dataset for `ttc` and the correct one is [`tner/ttc`](https://huggingface.co/datasets/tner/ttc), which is private since **TTC dataset is not publicly released at this point**. We will grant you an access to the `tner/ttc` dataset, once you retained ... | tner/ttc_dummy | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"size_categories:1k<10K",
"language:en",
"license:other",
"region:us"
] | 2022-08-16T21:08:03+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1k<10K"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "TTC"} | 2022-09-25T21:33:56+00:00 | [] | [
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] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #size_categories-1k<10K #language-English #license-other #region-us
| Dataset Card for "tner/ttc" (Dummy)
===================================
*WARNING*: This is a dummy dataset for 'ttc' and the correct one is 'tner/ttc', which is private since TTC dataset is not publicly released at this point. We will grant you an access to the 'tner/ttc' dataset, once you retained the original datas... | [
"### Dataset Summary\n\n\nBroad Twitter Corpus NER dataset formatted in a part of TNER project.\n\n\n* Entity Types: 'LOC', 'ORG', 'PER'\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nAn example of 'train' looks as follows.",
"### Label ID\n\n\nThe label2id dictionary can be found at here.... | [
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107693e166942d7dbd88bd173bdaddf7a4f59d62 |
# Dataset Card for GLUE
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [... | vector/structuretest | [
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"task_ids:text-scoring",
"annotations_creators:other",
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"multilinguality:monol... | 2022-08-17T05:11:06+00:00 | {"annotations_creators": ["other"], "language_creators": ["other"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["acceptability-classification", "natural-language-inference", "se... | 2022-10-09T02:13:42+00:00 | [] | [] | TAGS
#task_categories-text-classification #task_ids-acceptability-classification #task_ids-natural-language-inference #task_ids-semantic-similarity-scoring #task_ids-sentiment-classification #task_ids-text-scoring #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-10K<n<1... | Dataset Card for GLUE
=====================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Pers... | [
"### Dataset Summ\n\n\nGLUE, the General Language Understanding Evaluation benchmark (URL is a collection of resources for training, evaluating, and analyzing natural language understanding systems.",
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24ad622ccac1806887e278cfe62bf037cc92eb1d | # 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: autoevaluate/multi-class-classification
* Dataset: emotion
* Config: default
* Split: test
... | autoevaluate/autoeval-eval-project-emotion-2fbf3953-1266148530 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-17T07:19:07+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "autoevaluate/multi-class-classification", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "text", "t... | 2022-08-17T07:19:35+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: autoevaluate/multi-class-classification
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Hu... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config:... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Conf... |
d39babb900703a8a1f64dbaa08cf795ae43f9005 |
# Human feedback data
This is the version of the dataset used in https://arxiv.org/abs/2310.06452.
If starting a new project we would recommend using https://huggingface.co/datasets/openai/summarize_from_feedback.
See https://github.com/openai/summarize-from-feedback for original details of the dataset.
Here the d... | UCL-DARK/openai-tldr-summarisation-preferences | [
"task_categories:text-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
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"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:mit",
"alignment",
"text-classifica... | 2022-08-17T09:40:01+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": [], "pretty_name":... | 2023-10-26T08:52:20+00:00 | [
"2310.06452"
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# Human feedback data
This is the version of the dataset used in URL
If starting a new project we would recommend using URL
See URL for original details of the dataset.
Here the data is formatted to enable huggingface transformers sequence classification models to be trained as reward functions.
| [
"# Human feedback data\n\nThis is the version of the dataset used in URL\n\nIf starting a new project we would recommend using URL\n\nSee URL for original details of the dataset.\n\nHere the data is formatted to enable huggingface transformers sequence classification models to be trained as reward functions."
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b75783e9d3d5e749295ae0c221050c11d5f279da |
# This is a WIP repository for some experiments.
# The official version of this dataset can be found at: https://huggingface.co/datasets/biglam/spanish_golden_age_sonnets
# I worked on formating and uploading this dataset for the BIGLAM HACKATON. More info at : https://github.com/bigscience-workshop/lam
[![DOI](htt... | thebooort/spanish_golden_age_sonnets | [
"license:cc-by-nc-4.0",
"region:us"
] | 2022-08-17T10:53:14+00:00 | {"license": "cc-by-nc-4.0"} | 2022-08-17T10:56:34+00:00 | [] | [] | TAGS
#license-cc-by-nc-4.0 #region-us
|
# This is a WIP repository for some experiments.
# The official version of this dataset can be found at: URL
# I worked on formating and uploading this dataset for the BIGLAM HACKATON. More info at : URL
![DOI](URL
# Corpus of Spanish Golden-Age Sonnets
## Introduction
This corpus comprises sonnets written in Spa... | [
"# This is a WIP repository for some experiments.",
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"## Introduction\nThis corpus compris... | [
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ea2a5bde61bfcebb4cb9733560d5be6728419227 |
# Dataset Card for CiteWorth
## Dataset Description
- **Repo** https://github.com/copenlu/cite-worth
- **Paper** https://aclanthology.org/2021.findings-acl.157.pdf
### Dataset Summary
Scientific document understanding is challenging as the data is highly domain specific and diverse. However, datasets for tasks wit... | copenlu/citeworth | [
"task_categories:text-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
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"source_datasets:extended|s2orc",
"language:en",
"license:cc-by-nc-4.0",
"citation detection",
"citation",
"science",
"scholarly... | 2022-08-17T10:57:29+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-nc-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["extended|s2orc"], "task_categories": ["text-classification"], "task_ids": [], "paperswithcode_id": "ci... | 2022-08-17T12:48:22+00:00 | [] | [
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# Dataset Card for CiteWorth
## Dataset Description
- Repo URL
- Paper URL
### Dataset Summary
Scientific document understanding is challenging as the data is highly domain specific and diverse. However, datasets for tasks with scientific text require expensive manual annotation and tend to be small and limited to... | [
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760c3b2814ac49e492695d7329de25532b22c4cf | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: nickprock/xlm-roberta-base-banking77-classification
* Dataset: banking77
* Config: default
*... | autoevaluate/autoeval-eval-project-banking77-77f5d7e6-1267748583 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-17T11:19:16+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["banking77"], "eval_info": {"task": "multi_class_classification", "model": "nickprock/xlm-roberta-base-banking77-classification", "metrics": [], "dataset_name": "banking77", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"t... | 2022-08-17T11:20:04+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: nickprock/xlm-roberta-base-banking77-classification
* Dataset: banking77
* Config: default
* Split: test
To run new evaluation ... | [
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f6f7390e70189fd30b081681d0bf84713d6aed82 |
# Dataset Card for Scientific Exaggeration Detection
## Dataset Description
- **Homepage:** https://github.com/copenlu/scientific-exaggeration-detection
- **Repository:** https://github.com/copenlu/scientific-exaggeration-detection
- **Paper:** https://aclanthology.org/2021.emnlp-main.845.pdf
### Dataset Summary
P... | copenlu/scientific-exaggeration-detection | [
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"scientific text",
... | 2022-08-17T12:29:27+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["gpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["natural-language-inference", "multi-input-text-clas... | 2022-08-17T12:45:14+00:00 | [] | [
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# Dataset Card for Scientific Exaggeration Detection
## Dataset Description
- Homepage: URL
- Repository: URL
- Paper: URL
### Dataset Summary
Public trust in science depends on honest and factual communication of scientific papers. However, recent studies have demonstrated a tendency of news media to misrepresent... | [
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e1f66b8955c7ba9faf70d24a2e104ea08853b25e |
# Filtered TL;DR Dataset
This is the version of the dataset used in https://arxiv.org/abs/2310.06452.
If starting a new project we would recommend using https://huggingface.co/datasets/openai/summarize_from_feedback.
For more information see https://github.com/openai/summarize-from-feedback and for the original TL;... | UCL-DARK/openai-tldr-filtered | [
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# Filtered TL;DR Dataset
This is the version of the dataset used in URL
If starting a new project we would recommend using URL
For more information see URL and for the original TL;DR dataset see URL
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77e3a188d97435a47b4dd1e3043e0a9e6d5aba4d |
# Dataset Card for [COCO]
## 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)... | Luka-Wang/COCO | [
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] | 2022-08-17T12:40:37+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["token-classification-other-acronym-ide... | 2022-08-18T06:36:16+00:00 | [] | [
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|
# Dataset Card for [COCO]
## 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
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51139e97bddd619e4e0f4b34e6e33fd6f8e45eb3 |
# Filtered TL;DR Dataset
This is the version of the dataset used in https://arxiv.org/abs/2310.06452.
If starting a new project we would recommend using https://huggingface.co/datasets/openai/summarize_from_feedback.
For more information see https://github.com/openai/summarize-from-feedback and for the original TL;... | UCL-DARK/openai-tldr-filtered-queries | [
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"human-feed... | 2022-08-17T12:44:32+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": "cc-by-4.0", "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended"], "task_categories": ["text-generation"], "task_ids": [], "pretty_name": "Filtered TL;DR", "t... | 2023-10-26T08:52:35+00:00 | [
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# Filtered TL;DR Dataset
This is the version of the dataset used in URL
If starting a new project we would recommend using URL
For more information see URL and for the original TL;DR dataset see URL
This is the version of the dataset with only filtering on the queries, and hence there is more data than in URL whic... | [
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5c2ca1c76214076c085703366030ca3b165fbc86 |
### Dataset Summary
KoPI(Korpus Perayapan Indonesia)-CC_News is Indonesian Only Extract from CC NEWS Common Crawl from 2016-2022(july) ,each snapshots get extracted using warcio,trafilatura and filter using fasttext
detail soon
```
| acul3/KoPI-CC_News | [
"task_categories:text-generation",
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"annotations_creators:no-annotation",
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] | 2022-08-17T13:50:15+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["id"], "license": "cc", "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "paperswithcode_id": "oscar"} | 2023-03-03T07:48:00+00:00 | [] | [
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### Dataset Summary
KoPI(Korpus Perayapan Indonesia)-CC_News is Indonesian Only Extract from CC NEWS Common Crawl from 2016-2022(july) ,each snapshots get extracted using warcio,trafilatura and filter using fasttext
detail soon
'''
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510a233972a0d7ff0f767d82f46e046832c10538 |
# Datasheet for the dataset: multilingual-NLI-26lang-2mil7
## Dataset Summary
This dataset contains 2 730 000 NLI text pairs in 26 languages spoken by more than 4 billion people. The dataset can be used to train models for multilingual NLI (Natural Language Inference) or zero-shot classification. The dataset is base... | MoritzLaurer/multilingual-NLI-26lang-2mil7 | [
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"size_categories:1M<n<5",
"source_datasets:multi_nli",
"source_datasets:anli",
"source_datasets:fever... | 2022-08-17T14:28:16+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["machinetranslation"], "language": ["multilingual", "zh", "ja", "ar", "ko", "de", "fr", "es", "pt", "hi", "id", "it", "tr", "ru", "bn", "ur", "mr", "ta", "vi", "fa", "pl", "uk", "nl", "sv", "he", "sw", "ps"], "size_categories": ["1M<n<5"], "source_dataset... | 2022-08-22T20:40:14+00:00 | [
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# Datasheet for the dataset: multilingual-NLI-26lang-2mil7
## Dataset Summary
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f21629712ffd6a3d13a54fd2807ccd521c55ef74 |
# Dataset Card for Real Toxicity Prompts
## 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)
... | allenai/real-toxicity-prompts | [
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|
# Dataset Card for Real Toxicity Prompts
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Dataset Preprocessing
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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831ea5d6035059ce66bf14f13e5ccdb222db48f9 |
# Dataset Card for AMI
## 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)
... | edinburghcstr/ami | [
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] | 2022-08-17T21:02:08+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": [], "source_datasets": [], "task_categories": ["automatic-speech-recognition"], "pretty_name": "AMI", "tags": []} | 2023-01-16T18:11:05+00:00 | [
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| Dataset Card for AMI
====================
Table of Contents
-----------------
* Table of Contents
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+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ A... | [
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bfdfd996f1937debc75859163dfcbffecda74247 |
This is a copy of the [Multi-News](https://huggingface.co/datasets/multi_news) dataset, except the input source documents of its `test` split have been replaced by a __sparse__ retriever. The retrieval pipeline used:
- __query__: The `summary` field of each example
- __corpus__: The union of all documents in the `tra... | allenai/multinews_sparse_oracle | [
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| This is a copy of the Multi-News dataset, except the input source documents of its 'test' split have been replaced by a **sparse** retriever. The retrieval pipeline used:
* **query**: The 'summary' field of each example
* **corpus**: The union of all documents in the 'train', 'validation' and 'test' splits
* **retrie... | [] | [
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] |
faacfa5bc1fb63d4be7df7c28992ec77b4144715 |
# Dataset Card for Marriage and Divorce 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)
- [Languages](#languages)
- [Dataset Structur... | hugginglearners/marriage-and-divorce-dataset | [
"license:cc0-1.0",
"region:us"
] | 2022-08-17T22:39:04+00:00 | {"license": ["cc0-1.0"], "kaggle_id": "hosseinmousavi/marriage-and-divorce-dataset"} | 2022-08-17T22:39:17+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
# Dataset Card for Marriage and Divorce Dataset
## 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
- Ann... | [
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490115d20b1b9890f39be50fdc9403c04b3171ea |
# Dataset Card for Dataset: NetFlix Shows
## 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](#da... | hugginglearners/netflix-shows | [
"license:cc0-1.0",
"region:us"
] | 2022-08-18T02:04:50+00:00 | {"license": ["cc0-1.0"], "kaggle_id": "infamouscoder/dataset-netflix-shows"} | 2022-08-18T02:04:55+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
# Dataset Card for Dataset: NetFlix Shows
## 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
- Annotatio... | [
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a365dcb143fcde8ba675b8b1bb475ff5776bd5cc | # Japanese Wikipedia Dataset
This dataset is a comprehensive pull of all Japanese wikipedia article data as of 20220808.
*Note:* Right now its uploaded as a single cleaned gzip file (for faster usage), I'll update this in the future to include a huggingface datasets compatible class and better support for japanese t... | inarikami/wikipedia-japanese | [
"region:us"
] | 2022-08-18T02:06:12+00:00 | {} | 2022-09-11T01:42:50+00:00 | [] | [] | TAGS
#region-us
| # Japanese Wikipedia Dataset
This dataset is a comprehensive pull of all Japanese wikipedia article data as of 20220808.
*Note:* Right now its uploaded as a single cleaned gzip file (for faster usage), I'll update this in the future to include a huggingface datasets compatible class and better support for japanese t... | [
"# Japanese Wikipedia Dataset\n\nThis dataset is a comprehensive pull of all Japanese wikipedia article data as of 20220808. \n\n*Note:* Right now its uploaded as a single cleaned gzip file (for faster usage), I'll update this in the future to include a huggingface datasets compatible class and better support for j... | [
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c71fde85d3a85330916731069ebbb3461816404b |
# Dataset Card for Depression: Reddit Dataset (Cleaned)
## 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 ... | hugginglearners/reddit-depression-cleaned | [
"license:cc0-1.0",
"region:us"
] | 2022-08-18T03:03:04+00:00 | {"license": ["cc0-1.0"], "kaggle_id": "infamouscoder/depression-reddit-cleaned"} | 2022-08-18T03:03:19+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
# Dataset Card for Depression: Reddit Dataset (Cleaned)
## 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... | [
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"## 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 Split... | [
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db6eb2db84a487d4f371d94c6744b9fa4908926a |
# Dataset Card for Russia Ukraine Conflict
## 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](#d... | hugginglearners/russia-ukraine-conflict-articles | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-08-18T03:21:11+00:00 | {"license": ["cc-by-nc-sa-4.0"], "kaggle_id": "hskhawaja/russia-ukraine-conflict"} | 2022-08-18T03:21:16+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
|
# Dataset Card for Russia Ukraine Conflict
## 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
- Annotati... | [
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690013762dc84b05fec7079d1b43d15779f60f28 |
# Dataset Card for amazon reviews for sentiment analysis
## 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... | hugginglearners/amazon-reviews-sentiment-analysis | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-08-18T03:28:36+00:00 | {"license": ["cc-by-nc-sa-4.0"], "kaggle_id": "tarkkaanko/amazon"} | 2022-08-18T03:28:40+00:00 | [] | [] | TAGS
#license-cc-by-nc-sa-4.0 #region-us
|
# Dataset Card for amazon reviews for sentiment analysis
## 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 Dat... | [
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51a56ad8fb8f136d3c068a56a842dc65fec09ec2 |
# Dataset Card for Twitter Dataset: Tesla
## 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](#da... | hugginglearners/twitter-dataset-tesla | [
"license:cc0-1.0",
"region:us"
] | 2022-08-18T03:35:27+00:00 | {"license": ["cc0-1.0"], "kaggle_id": "vishesh1412/twitter-dataset-tesla"} | 2022-08-18T03:35:32+00:00 | [] | [] | TAGS
#license-cc0-1.0 #region-us
|
# Dataset Card for Twitter Dataset: Tesla
## 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
- Annotatio... | [
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cb3ebb1e94d100854a2fdf305474b6530007f992 | # Dataset Card for NSME-COM
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | asaxena1990/NSME-COM | [
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"task_ids:utterance-retrieval",
"task_ids... | 2022-08-18T04:19:29+00:00 | {"annotations_creators": ["other"], "language_creators": ["other"], "language": ["en"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["question-answering", "text-retrieval", "text2text-generation", "other", "translation", "conversational"], "task_i... | 2022-08-18T06:26:54+00:00 | [] | [
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=========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations... | [
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2ffc5786ddde4fba29a409a651246e61bd2208b6 | dataset_name | cakiki/arxiv-taxonomy | [
"license:cc-by-4.0",
"region:us"
] | 2022-08-18T11:19:51+00:00 | {"license": "cc-by-4.0", "extra_gated_prompt": "By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "checkbox"}} | 2022-08-23T12:57:47+00:00 | [] | [] | TAGS
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c0ffda60b8b5a0e9ec63360548be8d53f955246f |
# naab: A ready-to-use plug-and-play corpus in Farsi
_[If you want to join our community to keep up with news, models and datasets from naab, click on [this](https://docs.google.com/forms/d/e/1FAIpQLSe8kevFl_ODCx-zapAuOIAQYr8IvkVVaVHOuhRL9Ha0RVJ6kg/viewform) link.]_
## Table of Contents
- [Dataset Card Creation Guide... | SLPL/naab | [
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"arxiv:2208.13486",
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] | 2022-08-18T12:47:40+00:00 | {"language": ["fa"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["100M<n<1B"], "task_categories": ["fill-mask", "text-generation"], "task_ids": ["language-modeling", "masked-language-modeling"], "pretty_name": "naab (A ready-to-use plug-and-play corpus in Farsi)"} | 2022-11-03T06:33:48+00:00 | [
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| naab: A ready-to-use plug-and-play corpus in Farsi
==================================================
*If you want to join our community to keep up with news, models and datasets from naab, click on [this link.]*
Table of Contents
-----------------
* Dataset Card Creation Guide
+ Table of Contents
+ Dataset Des... | [
"### Dataset Summary\n\n\nnaab is the biggest cleaned and ready-to-use open-source textual corpus in Farsi. It contains about 130GB of data, 250 million paragraphs, and 15 billion words. The project name is derived from the Farsi word ناب which means pure and high-grade. We also provide the raw version of the corpu... | [
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447ead3773dc665d37157e84483e5235f8aeb4ad |
# naab-raw (raw version of the naab corpus)
_[If you want to join our community to keep up with news, models and datasets from naab, click on [this](https://docs.google.com/forms/d/e/1FAIpQLSe8kevFl_ODCx-zapAuOIAQYr8IvkVVaVHOuhRL9Ha0RVJ6kg/viewform) link.]_
## Table of Contents
- [Dataset Card Creation Guide](#datase... | SLPL/naab-raw | [
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"task_categories:text-generation",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
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"license:mit",
"arxiv:2208.13486",
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] | 2022-08-18T13:15:15+00:00 | {"language": ["fa"], "license": ["mit"], "multilinguality": ["monolingual"], "task_categories": ["fill-mask", "text-generation"], "task_ids": ["language-modeling", "masked-language-modeling"], "pretty_name": "naab-raw (raw version of the naab corpus)"} | 2022-11-03T06:34:28+00:00 | [
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|
# naab-raw (raw version of the naab corpus)
_If you want to join our community to keep up with news, models and datasets from naab, click on [this link.]_
## Table of Contents
- Dataset Card Creation Guide
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
-... | [
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9b06ad6e84c3677ced03405e98400668afb061cc |
# WikiCAT_ca: Catalan Text Classification dataset
## Dataset Description
- **Paper:**
- **Point of Contact:** carlos.rodriguez1@bsc.es
**Repository**
https://github.com/TeMU-BSC/WikiCAT
### Dataset Summary
WikiCAT_ca is a Catalan corpus for thematic Text Classification tasks. It is created automagically fro... | projecte-aina/WikiCAT_ca | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
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"language:ca",
"license:cc-by-sa-3.0",
"region:us"
] | 2022-08-18T13:29:02+00:00 | {"annotations_creators": ["auromatically-generated"], "language_creators": ["found"], "language": ["ca"], "license": ["cc-by-sa-3.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification"], "prett... | 2023-11-25T06:02:26+00:00 | [] | [
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|
# WikiCAT_ca: Catalan Text Classification dataset
## Dataset Description
- Paper:
- Point of Contact: carlos.rodriguez1@URL
Repository
URL
### Dataset Summary
WikiCAT_ca is a Catalan corpus for thematic Text Classification tasks. It is created automagically from Wikipedia and Wikidata sources, and contains ... | [
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2894394c52a8621bf8bb2e4d7c3b9cf77f6fa80e |
# Dataset Card for RAVDESS
## 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... | narad/ravdess | [
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] | 2022-08-18T13:54:03+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["audio-classification"], "task_ids": ["audio-emotion-recognition"]} | 2022-11-02T03:21:19+00:00 | [] | [
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|
# Dataset Card for RAVDESS
## 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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00425116c45959bdd5149a0aa7d9fb3bf2542fac |
# LVIS
### Dataset Summary
This dataset is the implementation of LVIS dataset into Hugging Face datasets. Please visit the original website for more information.
- https://www.lvisdataset.org/
### Loading
This code returns train, validation and test generators.
```python
from datasets import load_dataset
dataset... | winvoker/lvis | [
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"task_ids:instance-segmentation",
"size_categories:1M<n<10M",
"license:cc-by-4.0",
"segmentation",
"coco",
"region:us"
] | 2022-08-18T14:17:30+00:00 | {"annotations_creators": [], "language_creators": [], "language": [], "license": ["cc-by-4.0"], "size_categories": ["1M<n<10M"], "source_datasets": [], "task_categories": ["image-segmentation"], "task_ids": ["instance-segmentation"], "pretty_name": "lvis", "viewer": true, "tags": ["segmentation", "coco"]} | 2024-02-05T07:35:57+00:00 | [] | [] | TAGS
#task_categories-image-segmentation #task_ids-instance-segmentation #size_categories-1M<n<10M #license-cc-by-4.0 #segmentation #coco #region-us
|
# LVIS
### Dataset Summary
This dataset is the implementation of LVIS dataset into Hugging Face datasets. Please visit the original website for more information.
- URL
### Loading
This code returns train, validation and test generators.
Objects is a dictionary which contains annotation information like bbox, cl... | [
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11ec4d8b90a795c91a8589d209e4738ded3529be | # 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: siddharthtumre/biobert-finetuned-jnlpba
* Dataset: jnlpba
* Config: jnlpba
* Split: validation
To run ... | autoevaluate/autoeval-eval-project-jnlpba-3af3e90f-1276248800 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-18T17:32:57+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jnlpba"], "eval_info": {"task": "entity_extraction", "model": "siddharthtumre/biobert-finetuned-jnlpba", "metrics": [], "dataset_name": "jnlpba", "dataset_config": "jnlpba", "dataset_split": "validation", "col_mapping": {"tokens": "tokens", "tag... | 2022-08-18T17:35:34+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: siddharthtumre/biobert-finetuned-jnlpba
* Dataset: jnlpba
* Config: jnlpba
* Split: validation
To run new evaluation jobs, visit Hugging F... | [
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77cf2b93667ded5b4fb8024ac0796cc062fe59a9 | # 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: siddharthtumre/biobert-finetuned-jnlpba-ner
* Dataset: jnlpba
* Config: jnlpba
* Split: validation
To ... | autoevaluate/autoeval-eval-project-jnlpba-37dc127e-1276948841 | [
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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: siddharthtumre/biobert-finetuned-jnlpba-ner
* Dataset: jnlpba
* Config: jnlpba
* Split: validation
To run new evaluation jobs, visit Huggi... | [
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95f31ff9689ea4e38926ac1f41c7b6a27ec87695 | MeLiDC COM shuffle e SEM retirar categorias menos comuns. | bccnf/MeLiDC-shuffled-completo | [
"region:us"
] | 2022-08-18T20:34:47+00:00 | {} | 2022-08-18T20:46:33+00:00 | [] | [] | TAGS
#region-us
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9e9f992a361982ff05ef95a4cece86b062fa86a5 |
This is a copy of the [Multi-XScience](https://huggingface.co/datasets/multi_x_science_sum) dataset, except the input source documents of its `test` split have been replaced by a __sparse__ retriever. The retrieval pipeline used:
- __query__: The `related_work` field of each example
- __corpus__: The union of all doc... | allenai/multixscience_sparse_oracle | [
"task_categories:summarization",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:unknown",
"region:us"
] | 2022-08-18T22:32:04+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["summarization"], "paperswithcode_id": "multi-xscience", "pretty_name": "Multi-XScie... | 2022-11-24T16:50:08+00:00 | [] | [
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| This is a copy of the Multi-XScience dataset, except the input source documents of its 'test' split have been replaced by a **sparse** retriever. The retrieval pipeline used:
* **query**: The 'related\_work' field of each example
* **corpus**: The union of all documents in the 'train', 'validation' and 'test' splits
... | [] | [
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] |
0bcde014603bb09066ea8f441edda07bbd08a4d0 | # AutoTrain Dataset for project: MedicalTokenClassification
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project MedicalTokenClassification.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset... | shreyas-singh/autotrain-data-MedicalTokenClassification | [
"region:us"
] | 2022-08-19T05:43:11+00:00 | {} | 2022-08-19T05:52:29+00:00 | [] | [] | TAGS
#region-us
| AutoTrain Dataset for project: MedicalTokenClassification
=========================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project MedicalTokenClassification.
### Languages
The BCP-47 code for the dataset's language ... | [
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"### Dataset Splits\n\n\nThis d... | [
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98697a859928ce38d3ccac7b4efabbd0a3be4f3b |
# WikiCAT_en (Text Classification) English dataset
## Dataset Description
- **Paper:**
- **Point of Contact:**
carlos.rodriguez1@bsc.es
**Repository**
https://github.com/TeMU-BSC/WikiCAT
### Dataset Summary
WikiCAT_en is a English corpus for thematic Text Classification tasks. It is created automatically f... | PlanTL-GOB-ES/WikiCAT_en | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:automatically-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:unknown",
"language:en",
"license:cc-by-sa-3.0",
"region:us"
] | 2022-08-19T06:50:47+00:00 | {"annotations_creators": ["automatically-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-sa-3.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification"], "prett... | 2022-11-18T11:50:47+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-automatically-generated #language_creators-found #multilinguality-monolingual #size_categories-unknown #language-English #license-cc-by-sa-3.0 #region-us
|
# WikiCAT_en (Text Classification) English dataset
## Dataset Description
- Paper:
- Point of Contact:
carlos.rodriguez1@URL
Repository
URL
### Dataset Summary
WikiCAT_en is a English corpus for thematic Text Classification tasks. It is created automatically from Wikipedia and Wikidata sources, and contain... | [
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1d8f619a934ed0bfcf3d65d13a3677b0457eeb24 |
Only use for Demo
# PretrainCorpusDemo
## 引用 Citation
如果您在您的工作中使用了我们的模型，可以引用我们的[论文](https://arxiv.org/abs/2209.02970)：
If you are using the resource for your work, please cite the our [paper](https://arxiv.org/abs/2209.02970):
```text
@article{fengshenbang,
author = {Jiaxing Zhang and Ruyi Gan and Junjie Wan... | IDEA-CCNL/PretrainCorpusDemo | [
"license:apache-2.0",
"arxiv:2209.02970",
"region:us"
] | 2022-08-19T07:32:25+00:00 | {"license": "apache-2.0"} | 2023-04-06T05:32:47+00:00 | [
"2209.02970"
] | [] | TAGS
#license-apache-2.0 #arxiv-2209.02970 #region-us
|
Only use for Demo
# PretrainCorpusDemo
## 引用 Citation
如果您在您的工作中使用了我们的模型，可以引用我们的论文：
If you are using the resource for your work, please cite the our paper:
也可以引用我们的网站:
You can also cite our website:
'''text
@misc{Fengshenbang-LM,
title={Fengshenbang-LM},
author={IDEA-CCNL},
year={2021},
howpublished={\... | [
"# PretrainCorpusDemo",
"## 引用 Citation\n\n如果您在您的工作中使用了我们的模型，可以引用我们的论文：\n\nIf you are using the resource for your work, please cite the our paper:\n\n\n\n也可以引用我们的网站:\n\nYou can also cite our website:\n\n'''text\n@misc{Fengshenbang-LM,\n title={Fengshenbang-LM},\n author={IDEA-CCNL},\n year={2021},\n howpublis... | [
"TAGS\n#license-apache-2.0 #arxiv-2209.02970 #region-us \n",
"# PretrainCorpusDemo",
"## 引用 Citation\n\n如果您在您的工作中使用了我们的模型，可以引用我们的论文：\n\nIf you are using the resource for your work, please cite the our paper:\n\n\n\n也可以引用我们的网站:\n\nYou can also cite our website:\n\n'''text\n@misc{Fengshenbang-LM,\n title={Fengsh... | [
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"passage: TAGS\n#license-apache-2.0 #arxiv-2209.02970 #region-us \n# PretrainCorpusDemo## 引用 Citation\n\n如果您在您的工作中使用了我们的模型，可以引用我们的论文：\n\nIf you are using the resource for your work, please cite the our paper:\n\n\n\n也可以引用我们的网站:\n\nYou can also cite our website:\n\n'''text\n@misc{Fengshenbang-LM,\n title={Fengshenb... |
8923e1a7979d14ef39b339b0191260fd5fd725d2 | # 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: Ahmed007/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Sp... | autoevaluate/autoeval-eval-project-emotion-a34266d3-1280948985 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-19T10:36:12+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "Ahmed007/distilbert-base-uncased-finetuned-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text":... | 2022-08-19T10:42:12+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: Ahmed007/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation job... | [
"# 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: Ahmed007/distilbert-base-uncased-finetuned-emotion\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new... | [
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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: Ahmed007/distilbert-base-uncased-finetuned-emotion\n* Dataset: emotion... | [
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90261ba9395fb29be9287b5b961a6908f01a0cc6 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: autoevaluate/natural-language-inference
* Dataset: glue
* Config: mrpc
* Split: validation
To ru... | autoevaluate/autoeval-staging-eval-project-07c07057-797e-4d34-8fcb-023957860774-7467 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-19T10:59:36+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "autoevaluate/natural-language-inference", "metrics": [], "dataset_name": "glue", "dataset_config": "mrpc", "dataset_split": "validation", "col_mapping": {"text1": "sentence1",... | 2022-08-19T11:04:17+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Natural Language Inference
* Model: autoevaluate/natural-language-inference
* Dataset: glue
* Config: mrpc
* Split: validation
To run new evaluation jobs, visit Hugging... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: autoevaluate/natural-language-inference\n* Dataset: glue\n* Config: mrpc\n* Split: validation\n\nTo run new evaluation jobs... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: autoevaluate/natural-language-inference\n* Dataset: glue\n* Config: mrpc\n*... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: autoevaluate/natural-language-inference\n* Dataset: glue\n* Config: mrpc... |
4a1c01327dac9ee8a68f09a4b4d6611a853aa180 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: autoevaluate/natural-language-inference
* Dataset: glue
* Config: mrpc
* Split: validation
To ru... | autoevaluate/autoeval-staging-eval-project-6e415fa8-612b-4f91-8605-a10cd0c88147-7568 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-19T11:07:36+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "autoevaluate/natural-language-inference", "metrics": [], "dataset_name": "glue", "dataset_config": "mrpc", "dataset_split": "validation", "col_mapping": {"text1": "sentence1",... | 2022-08-19T11:08:09+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: Natural Language Inference
* Model: autoevaluate/natural-language-inference
* Dataset: glue
* Config: mrpc
* Split: validation
To run new evaluation jobs, visit Hugging... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: autoevaluate/natural-language-inference\n* Dataset: glue\n* Config: mrpc\n* Split: validation\n\nTo run new evaluation jobs... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: autoevaluate/natural-language-inference\n* Dataset: glue\n* Config: mrpc\n*... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: autoevaluate/natural-language-inference\n* Dataset: glue\n* Config: mrpc... |
20e767bc523d5a5e7044e14ee332f8f1b5e5e2a1 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: autoevaluate/natural-language-inference
* Dataset: glue
* Config: mrpc
* Split: validation
To ru... | autoevaluate/autoeval-staging-eval-project-dd7fa31c-e9a7-4d4e-81bc-102bff5d38c4-3721 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-19T11:56:59+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "autoevaluate/natural-language-inference", "metrics": [], "dataset_name": "glue", "dataset_config": "mrpc", "dataset_split": "validation", "col_mapping": {"text1": "sentence1",... | 2022-08-19T11:57:42+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: Natural Language Inference
* Model: autoevaluate/natural-language-inference
* Dataset: glue
* Config: mrpc
* Split: validation
To run new evaluation jobs, visit Hugging... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: autoevaluate/natural-language-inference\n* Dataset: glue\n* Config: mrpc\n* Split: validation\n\nTo run new evaluation jobs... | [
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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: Natural Language Inference\n* Model: autoevaluate/natural-language-inference\n* Dataset: glue\n* Config: mrpc\n*... | [
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ad59c039a59e7e4c757dc44fa9e9aaaea8d7a4e7 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Natural Language Inference
* Model: autoevaluate/natural-language-inference
* Dataset: glue
* Config: mrpc
* Split: validation
To ru... | autoevaluate/autoeval-staging-eval-project-6258c8ab-61ff-4bb1-984c-d291ce97e844-3923 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-19T12:29:06+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "natural_language_inference", "model": "autoevaluate/natural-language-inference", "metrics": [], "dataset_name": "glue", "dataset_config": "mrpc", "dataset_split": "validation", "col_mapping": {"text1": "sentence1",... | 2022-08-19T12:29:48+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: Natural Language Inference
* Model: autoevaluate/natural-language-inference
* Dataset: glue
* Config: mrpc
* Split: validation
To run new evaluation jobs, visit Hugging... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: autoevaluate/natural-language-inference\n* Dataset: glue\n* Config: mrpc\n* Split: validation\n\nTo run new evaluation jobs... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Natural Language Inference\n* Model: autoevaluate/natural-language-inference\n* Dataset: glue\n* Config: mrpc\n*... | [
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ca3c9475c9b6443bf5aa58b433dfd9fa1dc334fd | # 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: samsum
* Config: samsum
* Split: test
To run new evaluation job... | autoevaluate/autoeval-staging-eval-project-samsum-ede55545-13415852 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-19T12:47:26+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "google/bigbird-pegasus-large-arxiv", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dialogue", "target": "summary"... | 2022-08-19T12:57:07+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: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic mo... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: google/bigbird-pegasus-large-arxiv\n* Dataset: samsum\n* Config: samsum\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face... | [
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460772fb9f8ebdea9a826a863f8d08f398ecca89 |
# Dataset Card for Inglish: Indonesian English Translation 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)
- [Languages](#languages)
... | jakartaresearch/inglish | [
"task_categories:translation",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:translation",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:id",
"language:en",
"license:cc-by-4.0",
"indonesian",
"english",
"translation",
... | 2022-08-19T14:05:58+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["id", "en"], "license": ["cc-by-4.0"], "multilinguality": ["translation"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["translation"], "task_ids": [], "pretty_name": "Ingl... | 2022-08-19T14:23:15+00:00 | [] | [
"id",
"en"
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#task_categories-translation #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-translation #size_categories-10K<n<100K #source_datasets-original #language-Indonesian #language-English #license-cc-by-4.0 #indonesian #english #translation #region-us
|
# Dataset Card for Inglish: Indonesian English Translation Dataset
## 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
- ... | [
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66772c4cf2360e5fdd3a974883fe12d3a64a0038 | # Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies
- https://github.com/mwalmsley/zoobot
- https://zenodo.org/record/4573248
# Dataset Schema
This schema describes the columns in the GZ DECaLS catalogues; `gz_decals_auto_posteriors`, `gz_decals_volunteer... | BigBang/galaxyzoo-decals | [
"license:cc-by-4.0",
"region:us"
] | 2022-08-19T14:50:22+00:00 | {"license": "cc-by-4.0"} | 2022-08-29T17:03:24+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
| Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies
=================================================================================================================
* URL
* URL
Dataset Schema
==============
This schema describes the columns in the GZ ... | [] | [
"TAGS\n#license-cc-by-4.0 #region-us \n"
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15
] | [
"passage: TAGS\n#license-cc-by-4.0 #region-us \n"
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4c2d2919d8e2292de2350c931758c7c24a0c51d7 | # [Light dataset](https://parl.ai/projects/light/) prepared for zero-shot summarization.
Dialogues are preprocessed into a form:
```
<Character name>: <character line>
...
<Character name>: <character line>
Summarize the document
```
| npc-engine/light-batch-summarize-dialogue | [
"language:en",
"license:mit",
"region:us"
] | 2022-08-19T16:31:56+00:00 | {"language": "en", "license": "mit"} | 2022-08-20T17:18:10+00:00 | [] | [
"en"
] | TAGS
#language-English #license-mit #region-us
| # Light dataset prepared for zero-shot summarization.
Dialogues are preprocessed into a form:
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e293f374f7091dadb2c96a9f44f830dc9c7bbe31 |
# Dataset Card for EstCOPA
### Dataset Summary
EstCOPA is an extended version of [XCOPA](https://huggingface.co/datasets/xcopa) that was created with a goal to further investigate Estonian language understanding of large language models. EstCOPA provides two new versions of train, eval and test datasets in Estonian:... | tartuNLP/EstCOPA | [
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"language_creators:machine-generated",
"multilinguality:monolingual",
"multilinguality:translation",
"size_categories:n<1K",
"source_datasets:extended|xcopa",
"language:et",
"licens... | 2022-08-19T16:54:55+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated", "machine-generated"], "language": ["et"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual", "translation"], "size_categories": ["n<1K"], "source_datasets": ["extended|xcopa"], "task_categories": ["question-answering"], "... | 2022-10-31T10:17:40+00:00 | [] | [
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|
# Dataset Card for EstCOPA
### Dataset Summary
EstCOPA is an extended version of XCOPA that was created with a goal to further investigate Estonian language understanding of large language models. EstCOPA provides two new versions of train, eval and test datasets in Estonian: firstly, a machine translated (En->Et) v... | [
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f083f58ded9e934c906dac78fd03f13421221544 |
# Overwiev
It is a 4-class Turkish bullying data set obtained from Twitter.
| Cinsiyetçilik | Irkçılık | Kızdırma | Nötr | Sum |
| ------ | ------ | ------ | ------ | ------ |
| 601 | 490 | 910 | 1387 | 3388 |
## Authors
- Seyma SARIGIL: seymasargil@gmail.com
- Elif SARIGIL KARA: elifsarigil@gmail.com
- Mura... | nanelimon/turkish-social-media-bullying-dataset | [
"license:mit",
"region:us"
] | 2022-08-19T20:27:36+00:00 | {"license": "mit"} | 2022-08-20T08:57:56+00:00 | [] | [] | TAGS
#license-mit #region-us
| Overwiev
========
It is a 4-class Turkish bullying data set obtained from Twitter.
Authors
-------
* Seyma SARIGIL: seymasargil@URL
* Elif SARIGIL KARA: elifsarigil@URL
* Murat KOKLU: mkoklu@URL
* Alaaddin Erdinç DAL: aerdincdal@URL
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"passage: TAGS\n#license-mit #region-us \n"
] |
ae0b477362fd961c4d67b740e1ad9b218900d640 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: nbroad/xdistil-l12-h384-squad2
* Dataset: squad
* Config: plain_text
* Split: validation
To run new eval... | autoevaluate/autoeval-eval-project-squad-4b228794-1283349088 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-19T20:28:42+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/xdistil-l12-h384-squad2", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "context... | 2022-08-19T20:31:08+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: nbroad/xdistil-l12-h384-squad2
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's au... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/xdistil-l12-h384-squad2\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jobs, visit Hu... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/xdistil-l12-h384-squad2\n* Dataset: squad\n* Config: plain_text\n* Split: va... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/xdistil-l12-h384-squad2\n* Dataset: squad\n* Config: plain_text\n* Split:... |
db528c7c35bef1c06371d03a5cac7926d3bf9d5d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: nbroad/deberta-v3-xsmall-squad2
* Dataset: squad
* Config: plain_text
* Split: validation
To run new eva... | autoevaluate/autoeval-eval-project-squad-4b228794-1283349089 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-19T20:28:52+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/deberta-v3-xsmall-squad2", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "contex... | 2022-08-19T20:31:53+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: nbroad/deberta-v3-xsmall-squad2
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's a... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/deberta-v3-xsmall-squad2\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jobs, visit H... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/deberta-v3-xsmall-squad2\n* Dataset: squad\n* Config: plain_text\n* Split: v... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/deberta-v3-xsmall-squad2\n* Dataset: squad\n* Config: plain_text\n* Split... |
d9edf5a5e28bbde9ba3989e44e5566809aa40157 | # I've just ported the dataset from tfds to huggingface. All credits goes to original authors, readme is copied from https://github.com/google-research/dialog-inpainting/blob/main/README.md
Load in huggingface using :
dataset = datasets.load_dataset('djaym7/wiki_dialog','OQ', beam_runner='DirectRunner')
# D... | djaym7/wiki_dialog | [
"region:us"
] | 2022-08-19T23:56:39+00:00 | {} | 2022-08-20T01:36:29+00:00 | [] | [] | TAGS
#region-us
| # I've just ported the dataset from tfds to huggingface. All credits goes to original authors, readme is copied from URL
Load in huggingface using :
dataset = datasets.load_dataset('djaym7/wiki_dialog','OQ', beam_runner='DirectRunner')
# Dialog Inpainting: Turning Documents into Dialogs
## Abstract
Many im... | [
"# I've just ported the dataset from tfds to huggingface. All credits goes to original authors, readme is copied from URL\n\n\n\nLoad in huggingface using : \n\ndataset = datasets.load_dataset('djaym7/wiki_dialog','OQ', beam_runner='DirectRunner')",
"# Dialog Inpainting: Turning Documents into Dialogs",
"## Abs... | [
"TAGS\n#region-us \n",
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2f80dbe421217fa8213f66f1b3f01613664423f9 | # 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: yhavinga/long-t5-tglobal-small-dutch-cnn-bf16-test
* Dataset: yhavinga/cnn_dailymail_dutch
* Config: 3.0.0
* S... | autoevaluate/autoeval-eval-project-yhavinga__cnn_dailymail_dutch-88133136-1284849222 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-20T08:27:53+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["yhavinga/cnn_dailymail_dutch"], "eval_info": {"task": "summarization", "model": "yhavinga/long-t5-tglobal-small-dutch-cnn-bf16-test", "metrics": [], "dataset_name": "yhavinga/cnn_dailymail_dutch", "dataset_config": "3.0.0", "dataset_split": "tes... | 2022-08-20T10:39:44+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: yhavinga/long-t5-tglobal-small-dutch-cnn-bf16-test
* Dataset: yhavinga/cnn_dailymail_dutch
* Config: 3.0.0
* Split: test
To run new evaluation jo... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: yhavinga/long-t5-tglobal-small-dutch-cnn-bf16-test\n* Dataset: yhavinga/cnn_dailymail_dutch\n* Config: 3.0.0\n* Split: test\n\nTo run ne... | [
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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: Summarization\n* Model: yhavinga/long-t5-tglobal-small-dutch-cnn-bf16-test\n* Dataset: yhavinga/cnn_dailymail_du... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: yhavinga/long-t5-tglobal-small-dutch-cnn-bf16-test\n* Dataset: yhavinga/cnn_dailymail... |
5f2b4d3f3847eff692773ccd0e9b92e97abfb269 |
# Dataset Card for GitHub-Issues
## 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-str... | VanHoan/github-issues | [
"task_categories:table-question-answering",
"task_categories:fill-mask",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"Github... | 2022-08-20T11:23:30+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["machine-generated"], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["table-question-answering", "fill-mask"], "task_ids": ["masked-language-m... | 2022-08-20T11:30:24+00:00 | [] | [
"en"
] | TAGS
#task_categories-table-question-answering #task_categories-fill-mask #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-machine-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #Github #region-us
|
# Dataset Card for GitHub-Issues
## 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
- Pe... | [
"# Dataset Card for GitHub-Issues",
"## 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 ... | [
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3a97b8cc111c046a8563072d2f5a794efc889902 | # 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: yhavinga/t5-v1.1-large-dutch-cnn-test
* Dataset: ml6team/cnn_dailymail_nl
* Config: default
* Split: test
To ... | autoevaluate/autoeval-eval-project-ml6team__cnn_dailymail_nl-7b67cb71-1286049228 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-20T13:50:08+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["ml6team/cnn_dailymail_nl"], "eval_info": {"task": "summarization", "model": "yhavinga/t5-v1.1-large-dutch-cnn-test", "metrics": [], "dataset_name": "ml6team/cnn_dailymail_nl", "dataset_config": "default", "dataset_split": "test", "col_mapping": ... | 2022-08-20T16:52:18+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: yhavinga/t5-v1.1-large-dutch-cnn-test
* Dataset: ml6team/cnn_dailymail_nl
* Config: default
* Split: test
To run new evaluation jobs, visit Huggi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: yhavinga/t5-v1.1-large-dutch-cnn-test\n* Dataset: ml6team/cnn_dailymail_nl\n* Config: default\n* Split: test\n\nTo run new evaluation jo... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: yhavinga/t5-v1.1-large-dutch-cnn-test\n* Dataset: ml6team/cnn_dailymail_nl\n* Config: de... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: yhavinga/t5-v1.1-large-dutch-cnn-test\n* Dataset: ml6team/cnn_dailymail_nl\n* Config:... |
6b38e31fde7c954f7e69566999fcd6ef2746b524 |
### Indonesia BioNER Dataset
This dataset taken from online health consultation platform Alodokter.com which has been annotated by two medical doctors. Data were annotated using IOB in CoNLL format.
Dataset contains 2600 medical answers by doctors from 2017-2020. Two medical experts were assigned to annotate the dat... | abid/indonesia-bioner-dataset | [
"license:bsd-3-clause-clear",
"region:us"
] | 2022-08-20T15:10:11+00:00 | {"license": "bsd-3-clause-clear"} | 2022-09-02T05:16:26+00:00 | [] | [] | TAGS
#license-bsd-3-clause-clear #region-us
| ### Indonesia BioNER Dataset
This dataset taken from online health consultation platform URL which has been annotated by two medical doctors. Data were annotated using IOB in CoNLL format.
Dataset contains 2600 medical answers by doctors from 2017-2020. Two medical experts were assigned to annotate the data into tw... | [
"### Indonesia BioNER Dataset\n\n\nThis dataset taken from online health consultation platform URL which has been annotated by two medical doctors. Data were annotated using IOB in CoNLL format.\n\n\nDataset contains 2600 medical answers by doctors from 2017-2020. Two medical experts were assigned to annotate the d... | [
"TAGS\n#license-bsd-3-clause-clear #region-us \n",
"### Indonesia BioNER Dataset\n\n\nThis dataset taken from online health consultation platform URL which has been annotated by two medical doctors. Data were annotated using IOB in CoNLL format.\n\n\nDataset contains 2600 medical answers by doctors from 2017-2020... | [
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"passage: TAGS\n#license-bsd-3-clause-clear #region-us \n### Indonesia BioNER Dataset\n\n\nThis dataset taken from online health consultation platform URL which has been annotated by two medical doctors. Data were annotated using IOB in CoNLL format.\n\n\nDataset contains 2600 medical answers by doctors from 2017-2... |
2d1b8010d08c2e6ce17c4879447b9a3ce7531d5e |
# Entailment bank dataset
This dataset raw source can be found at [allenai's Github](https://github.com/allenai/entailment_bank/).
If you use this dataset, it is best to cite the original paper
```
@article{entalmentbank2021,
title={Explaining Answers with Entailment Trees},
author={Dalvi, Bhavana and Jansen, P... | ariesutiono/entailment-bank-v3 | [
"license:cc-by-4.0",
"region:us"
] | 2022-08-21T04:48:22+00:00 | {"license": "cc-by-4.0"} | 2022-08-21T05:05:29+00:00 | [] | [] | TAGS
#license-cc-by-4.0 #region-us
|
# Entailment bank dataset
This dataset raw source can be found at allenai's Github.
If you use this dataset, it is best to cite the original paper
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] |
a3080a58e563138e9c7a61765d8120b388dc572d |
# Multilingual Sentiments Dataset
A collection of multilingual sentiments datasets grouped into 3 classes -- positive, neutral, negative.
Most multilingual sentiment datasets are either 2-class positive or negative, 5-class ratings of products reviews (e.g. Amazon multilingual dataset) or multiple classes of emotion... | tyqiangz/multilingual-sentiments | [
"task_categories:text-classification",
"task_ids:sentiment-analysis",
"task_ids:sentiment-classification",
"multilinguality:monolingual",
"multilinguality:multilingual",
"size_categories:100K<n<1M",
"size_categories:1M<n<10M",
"language:de",
"language:en",
"language:es",
"language:fr",
"langua... | 2022-08-21T10:04:38+00:00 | {"language": ["de", "en", "es", "fr", "ja", "zh", "id", "ar", "hi", "it", "ms", "pt"], "license": "apache-2.0", "multilinguality": ["monolingual", "multilingual"], "size_categories": ["100K<n<1M", "1M<n<10M"], "task_categories": ["text-classification"], "task_ids": ["sentiment-analysis", "sentiment-classification"]} | 2023-05-23T14:01:51+00:00 | [] | [
"de",
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"es",
"fr",
"ja",
"zh",
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#task_categories-text-classification #task_ids-sentiment-analysis #task_ids-sentiment-classification #multilinguality-monolingual #multilinguality-multilingual #size_categories-100K<n<1M #size_categories-1M<n<10M #language-German #language-English #language-Spanish #language-French #language-Japanese #language-Chi... |
# Multilingual Sentiments Dataset
A collection of multilingual sentiments datasets grouped into 3 classes -- positive, neutral, negative.
Most multilingual sentiment datasets are either 2-class positive or negative, 5-class ratings of products reviews (e.g. Amazon multilingual dataset) or multiple classes of emotion... | [
"# Multilingual Sentiments Dataset\n\nA collection of multilingual sentiments datasets grouped into 3 classes -- positive, neutral, negative.\n\nMost multilingual sentiment datasets are either 2-class positive or negative, 5-class ratings of products reviews (e.g. Amazon multilingual dataset) or multiple classes of... | [
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753749c56fe313d51e37896ed12c4894e84dcf19 | There is no difference between 'train' and 'test', these are just used thus the csv file can be detected by huggingface.
max_java_exp_len=1784
max_python_exp_len=1469 | ziwenyd/avatar-functions | [
"license:mit",
"region:us"
] | 2022-08-21T10:17:08+00:00 | {"license": "mit"} | 2022-09-02T10:04:40+00:00 | [] | [] | TAGS
#license-mit #region-us
| There is no difference between 'train' and 'test', these are just used thus the csv file can be detected by huggingface.
max_java_exp_len=1784
max_python_exp_len=1469 | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-mit #region-us \n"
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bb866b91ea96935b3f2ba1746fd62d0c136015e8 |
# Dataset Card for `BanglaNMT`
## Table of Contents
- [Dataset Card for `BanglaNMT`](#dataset-card-for-BanglaNMT)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderbo... | csebuetnlp/BanglaNMT | [
"task_categories:translation",
"annotations_creators:other",
"language_creators:found",
"multilinguality:translation",
"size_categories:1M<n<10M",
"language:bn",
"language:en",
"license:cc-by-nc-sa-4.0",
"bengali",
"BanglaNMT",
"region:us"
] | 2022-08-21T12:25:09+00:00 | {"annotations_creators": ["other"], "language_creators": ["found"], "language": ["bn", "en"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["translation"], "size_categories": ["1M<n<10M"], "source_datasets": [], "task_categories": ["translation"], "pretty_name": "BanglaNMT", "tags": ["bengali", "BanglaNMT"]} | 2023-02-24T14:46:55+00:00 | [] | [
"bn",
"en"
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#task_categories-translation #annotations_creators-other #language_creators-found #multilinguality-translation #size_categories-1M<n<10M #language-Bengali #language-English #license-cc-by-nc-sa-4.0 #bengali #BanglaNMT #region-us
| Dataset Card for 'BanglaNMT'
============================
Table of Contents
-----------------
* Dataset Card for 'BanglaNMT'
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Usage
+ Dataset Structure
- Data Instances
- Data Fields
- Data S... | [
"### Dataset Summary\n\n\nThis is the largest Machine Translation (MT) dataset for Bengali-English, curated using novel sentence alignment methods introduced here.\n\n\nNote: This is a filtered version of the original dataset that the authors used for NMT training. For the complete set, refer to the offical reposit... | [
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5c0d3e28f40f5b5d1bb9449683385e6dce5c59c5 | # 中文文本分类数据集
数据来源：
今日头条客户端
数据格式：
```
6552431613437805063_!_102_!_news_entertainment_!_谢娜为李浩菲澄清网络谣言，之后她的两个行为给自己加分_!_佟丽娅,网络谣言,快乐大本营,李浩菲,谢娜,观众们
```
每行为一条数据，以`_!_`分割的个字段，从前往后分别是 新闻ID，分类code（见下文），分类名称（见下文），新闻字符串（仅含标题），新闻关键词
分类code与名称：
```
100 民生 故事 news_story
101 文化 文化 news_culture
102 娱乐 娱乐 news_entertainment
103... | fourteenBDr/toutiao | [
"license:mit",
"region:us"
] | 2022-08-21T13:54:32+00:00 | {"license": "mit"} | 2022-08-21T13:58:22+00:00 | [] | [] | TAGS
#license-mit #region-us
| # 中文文本分类数据集
数据来源：
今日头条客户端
数据格式：
每行为一条数据，以'_!_'分割的个字段，从前往后分别是 新闻ID，分类code（见下文），分类名称（见下文），新闻字符串（仅含标题），新闻关键词
分类code与名称：
数据规模：
共382688条，分布于15个分类中。
采集时间：
2018年05月
| [
"# 中文文本分类数据集\n\n数据来源：\n\n今日头条客户端\n\n\n\n数据格式：\n\n\n\n每行为一条数据，以'_!_'分割的个字段，从前往后分别是 新闻ID，分类code（见下文），分类名称（见下文），新闻字符串（仅含标题），新闻关键词\n\n\n\n分类code与名称：\n\n\n\n\n\n数据规模：\n\n共382688条，分布于15个分类中。\n\n\n\n采集时间：\n\n2018年05月"
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"passage: TAGS\n#license-mit #region-us \n# 中文文本分类数据集\n\n数据来源：\n\n今日头条客户端\n\n\n\n数据格式：\n\n\n\n每行为一条数据，以'_!_'分割的个字段，从前往后分别是 新闻ID，分类code（见下文），分类名称（见下文），新闻字符串（仅含标题），新闻关键词\n\n\n\n分类code与名称：\n\n\n\n\n\n数据规模：\n\n共382688条，分布于15个分类中。\n\n\n\n采集时间：\n\n2018年05月"
] |
89ffbee82a31a0a741d56de24a55918ce0d6d2ea |
# Dataset Card for "xsum_dutch" 🇳🇱🇧🇪 Dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instance... | yhavinga/xsum_dutch | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"language:nl",
"region:us"
] | 2022-08-21T19:29:43+00:00 | {"language": ["nl"], "task_categories": ["summarization"], "task_ids": ["news-articles-summarization"], "paperswithcode_id": "xsum_dutch", "pretty_name": "Extreme Summarization (XSum) in Dutch", "train-eval-index": [{"config": "default", "task": "summarization", "task_id": "summarization", "splits": {"train_split": "tr... | 2022-08-21T19:50:08+00:00 | [] | [
"nl"
] | TAGS
#task_categories-summarization #task_ids-news-articles-summarization #language-Dutch #region-us
| Dataset Card for "xsum\_dutch" 🇳🇱🇧🇪 Dataset
===========================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation... | [
"### Dataset Summary\n\n\nExtreme Summarization (XSum) Dataset.\n\n\nThere are three features:\n\n\n* document: Input news article.\n* summary: One sentence summary of the article.\n* id: BBC ID of the article.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nDataset Structure\n-----------------",
... | [
"TAGS\n#task_categories-summarization #task_ids-news-articles-summarization #language-Dutch #region-us \n",
"### Dataset Summary\n\n\nExtreme Summarization (XSum) Dataset.\n\n\nThere are three features:\n\n\n* document: Input news article.\n* summary: One sentence summary of the article.\n* id: BBC ID of the arti... | [
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"passage: TAGS\n#task_categories-summarization #task_ids-news-articles-summarization #language-Dutch #region-us \n### Dataset Summary\n\n\nExtreme Summarization (XSum) Dataset.\n\n\nThere are three features:\n\n\n* document: Input news article.\n* summary: One sentence summary of the article.\n* id: BBC ID of the a... |
00d84f741dda99d94db780c90ebb5f980050381d |
# Dataset Card for 20Q
| clips/20Q | [
"task_categories:question-answering",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"20Q",
"Twenty Questions",
"20 Questions",
"region:us"
] | 2022-08-21T19:42:40+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["question-answering"], "task_ids": [], "pretty_name": "20Q - World Knowledge Benchmark", "tags": ["20Q", "Twenty Questi... | 2022-08-21T19:54:06+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #multilinguality-monolingual #size_categories-1K<n<10K #language-English #20Q #Twenty Questions #20 Questions #region-us
|
# Dataset Card for 20Q
| [
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"passage: TAGS\n#task_categories-question-answering #multilinguality-monolingual #size_categories-1K<n<10K #language-English #20Q #Twenty Questions #20 Questions #region-us \n# Dataset Card for 20Q"
] |
9c3d1ef39f048685295f552ba2b0e3bdff3c14bf | # Dataset Card for NSME-COM
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
-... | neuralspace/NSME-COM | [
"task_categories:question-answering",
"task_categories:text-retrieval",
"task_categories:text2text-generation",
"task_categories:other",
"task_categories:translation",
"task_categories:conversational",
"task_ids:extractive-qa",
"task_ids:closed-domain-qa",
"task_ids:utterance-retrieval",
"task_ids... | 2022-08-22T03:29:52+00:00 | {"annotations_creators": ["other"], "language_creators": ["other"], "language": ["en"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["question-answering", "text-retrieval", "text2text-generation", "other", "translation", "conversational"], "task_i... | 2022-09-13T15:16:28+00:00 | [] | [
"en"
] | TAGS
#task_categories-question-answering #task_categories-text-retrieval #task_categories-text2text-generation #task_categories-other #task_categories-translation #task_categories-conversational #task_ids-extractive-qa #task_ids-closed-domain-qa #task_ids-utterance-retrieval #task_ids-document-retrieval #task_ids-open-... | Dataset Card for NSME-COM
=========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Personal and ... | [
"### Dataset Description\n\n\n* Homepage: NeuralSpace Homepage\n* Repository: NSME-COM Dataset\n* Point of Contact: Ankur Saxena\n* Point of Contact: Ayushman Dash\n* Size of downloaded dataset files: 10.86 KB",
"### Dataset Summary\n\n\nIn this digital age, the E-Commerce industry has increasingly become a vital... | [
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dd1c4533dbd97987d313319b71fbf747478db511 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | merkalo-ziri/qa_main | [
"task_categories:question-answering",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:rus",
"license:other",
"region:us"
] | 2022-08-22T06:03:04+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["rus"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": [], "pretty_name": "qa_main", "tags": []} | 2022-08-24T07:54:01+00:00 | [] | [
"rus"
] | TAGS
#task_categories-question-answering #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Russian #license-other #region-us
|
# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- P... | [
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"TAGS\n#task_categories-question-answering #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Russian #license-other #region-us \n",
"# Dataset Card for [Dataset Name]",
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b215cd3c701dd16e447a0a2132fb73181acd6c53 |
# Dataset Card for MAFAND
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#d... | masakhane/mafand | [
"task_categories:translation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:translation",
"multilinguality:multilingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"language:fr",
"language:am",
"language:bm",
"lang... | 2022-08-22T08:29:01+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en", "fr", "am", "bm", "bbj", "ee", "fon", "ha", "ig", "lg", "mos", "ny", "pcm", "rw", "sn", "sw", "tn", "tw", "wo", "xh", "yo", "zu"], "license": ["cc-by-nc-4.0"], "multilinguality": ["translation", "multilingual"],... | 2023-09-11T17:01:53+00:00 | [] | [
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"tw",
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"xh",
"yo",
"zu"
] | TAGS
#task_categories-translation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-translation #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-original #language-English #language-French #language-Amharic #language-Bambara #language-Ghomálá' #language-... | Dataset Card for MAFAND
=======================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Personal and Sens... | [
"### Dataset Summary\n\n\nMAFAND-MT is the largest MT benchmark for African languages in the news domain, covering 21 languages.",
"### Supported Tasks and Leaderboards\n\n\nMachine Translation",
"### Languages\n\n\nThe languages covered are:\n\n\n* Amharic\n* Bambara\n* Ghomala\n* Ewe\n* Fon\n* Hausa\n* Igbo\n... | [
"TAGS\n#task_categories-translation #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-translation #multilinguality-multilingual #size_categories-1K<n<10K #source_datasets-original #language-English #language-French #language-Amharic #language-Bambara #language-Ghomálá' #lan... | [
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0e94741b4d3fedcef54dbc40fd4a5d0e2cc2ca4a | # 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: siddharthtumre/biobert-ner
* Dataset: jnlpba
* Config: jnlpba
* Split: validation
To run new evaluatio... | autoevaluate/autoeval-eval-project-jnlpba-c103d433-1295449602 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-22T09:55:42+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["jnlpba"], "eval_info": {"task": "entity_extraction", "model": "siddharthtumre/biobert-ner", "metrics": [], "dataset_name": "jnlpba", "dataset_config": "jnlpba", "dataset_split": "validation", "col_mapping": {"tokens": "tokens", "tags": "ner_tags... | 2022-08-22T09:58:29+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: siddharthtumre/biobert-ner
* Dataset: jnlpba
* Config: jnlpba
* Split: validation
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: Token Classification\n* Model: siddharthtumre/biobert-ner\n* Dataset: jnlpba\n* Config: jnlpba\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging... | [
"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: Token Classification\n* Model: siddharthtumre/biobert-ner\n* Dataset: jnlpba\n* Config: jnlpba\n* Split: validat... | [
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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: Token Classification\n* Model: siddharthtumre/biobert-ner\n* Dataset: jnlpba\n* Config: jnlpba\n* Split: vali... |
ffd6fca23eefc71c119a52e3f7228a5576a9140a | # AutoTrain Dataset for project: image-classification-test-18
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project image-classification-test-18.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dat... | victor/autotrain-data-image-classification-test-18 | [
"task_categories:image-classification",
"region:us"
] | 2022-08-22T10:53:05+00:00 | {"task_categories": ["image-classification"]} | 2022-08-22T11:11:50+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| AutoTrain Dataset for project: image-classification-test-18
===========================================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project image-classification-test-18.
### Languages
The BCP-47 code for the dataset's lan... | [
"### 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#task_categories-image-classification #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------",
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"passage: TAGS\n#task_categories-image-classification #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is unk.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following fields (also cal... |
52ac109bd3961cbdca195d1a63d5623df925ae19 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new... | autoevaluate/autoeval-staging-eval-project-09cba8dc-757f-4f7a-8194-174e4439eb99-91 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-22T11:27:45+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "... | 2022-08-22T11:28:26+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visit Hugging Face... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Split: validation\n\nTo run new evaluation jobs, vis... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Binary Text Classification\n* Model: autoevaluate/binary-classification\n* Dataset: glue\n* Config: sst2\n* Spli... | [
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583895c958b37d26d265c28fe134c4bfd5320361 | # 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: autoevaluate/multi-class-classification
* Dataset: emotion
* Config: default
* Split: test
... | autoevaluate/autoeval-staging-eval-project-80c2643d-2334-4a14-9912-449e234f13a2-102 | [
"autotrain",
"evaluation",
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] | 2022-08-22T11:34:01+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "autoevaluate/multi-class-classification", "metrics": ["matthews_correlation"], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping... | 2022-08-22T11:34:51+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: autoevaluate/multi-class-classification
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Hu... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: autoevaluate/multi-class-classification\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run new evaluation... | [
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641d2fd9bacfcce2fdfa8c9c586e74fe843d7bef | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: autoevaluate/distilbert-base-cased-distilled-squad
* Dataset: autoevaluate/squad-sample
* Config: autoeva... | autoevaluate/autoeval-staging-eval-project-66155224-f2a7-4c5e-94b3-a3683a04175e-2314 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-22T12:04:04+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["autoevaluate/squad-sample"], "eval_info": {"task": "extractive_question_answering", "model": "autoevaluate/distilbert-base-cased-distilled-squad", "metrics": [], "dataset_name": "autoevaluate/squad-sample", "dataset_config": "autoevaluate--squad... | 2022-08-22T12:04:47+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: Question Answering
* Model: autoevaluate/distilbert-base-cased-distilled-squad
* Dataset: autoevaluate/squad-sample
* Config: autoevaluate--squad-sample
* Split: test
T... | [
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d86659a36094de76171db53a8dda513ffa5a838d | # 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: autoevaluate/summarization
* Dataset: autoevaluate/xsum-sample
* Config: autoevaluate--xsum-sample
* Split: te... | autoevaluate/autoeval-staging-eval-project-2dc683ab-6695-42ab-9eff-11dad91952e1-2415 | [
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] | 2022-08-22T12:06:50+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["autoevaluate/xsum-sample"], "eval_info": {"task": "summarization", "model": "autoevaluate/summarization", "metrics": [], "dataset_name": "autoevaluate/xsum-sample", "dataset_config": "autoevaluate--xsum-sample", "dataset_split": "test", "col_map... | 2022-08-22T12:07:28+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: autoevaluate/summarization
* Dataset: autoevaluate/xsum-sample
* Config: autoevaluate--xsum-sample
* Split: test
To run new evaluation jobs, visi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: autoevaluate/summarization\n* Dataset: autoevaluate/xsum-sample\n* Config: autoevaluate--xsum-sample\n* Split: test\n\nTo run new evalua... | [
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d2fa13f1968351b546a9a5a89610817d868e1120 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Translation
* Model: autoevaluate/translation
* Dataset: autoevaluate/wmt16-ro-en-sample
* Config: autoevaluate--wmt16-ro-en-sample
*... | autoevaluate/autoeval-staging-eval-project-8a305641-aedc-4d3a-9609-7f9f9c99c489-2616 | [
"autotrain",
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"region:us"
] | 2022-08-22T12:24:07+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["autoevaluate/wmt16-ro-en-sample"], "eval_info": {"task": "translation", "model": "autoevaluate/translation", "metrics": [], "dataset_name": "autoevaluate/wmt16-ro-en-sample", "dataset_config": "autoevaluate--wmt16-ro-en-sample", "dataset_split":... | 2022-08-22T12:25:10+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Translation
* Model: autoevaluate/translation
* Dataset: autoevaluate/wmt16-ro-en-sample
* Config: autoevaluate--wmt16-ro-en-sample
* Split: test
To run new evaluation ... | [
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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: Translation\n* Model: autoevaluate/translation\n* Dataset: autoevaluate/wmt16-ro-en-sample\n* Config: autoevalua... | [
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a51d02dac28333f43f90d7d07753ed6c3c47ede0 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new... | autoevaluate/autoeval-staging-eval-project-0c5b3473-b8bd-4084-ad01-6ee894dddf29-2917 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-22T12:34:59+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["glue"], "eval_info": {"task": "binary_classification", "model": "autoevaluate/binary-classification", "metrics": ["matthews_correlation"], "dataset_name": "glue", "dataset_config": "sst2", "dataset_split": "validation", "col_mapping": {"text": "... | 2022-08-22T12:35:37+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: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visit Hugging Face... | [
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9000ce7fabbce934fc7637c7cd4736bf87a616b2 |
# MovieLens User Ratings
This dataset contains ~1M user ratings, consisting of ~10k of the most recent movies from the MovieLens 25M dataset, for which over 30k unique users have rated. The dataset is streamed from the MovieLens 25M dataset, filters for the recent movies, and returns the user ratings for those. After... | pinecone/movielens-recent-ratings | [
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"language:en",
"movielens",
"recommendation",
"collaborative filtering",
"region:us"
] | 2022-08-22T15:42:11+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": [], "task_ids": [], "pretty_name": "MovieLens User Ratings", "tags": ["movielens"... | 2022-08-23T09:00:17+00:00 | [] | [
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|
# MovieLens User Ratings
This dataset contains ~1M user ratings, consisting of ~10k of the most recent movies from the MovieLens 25M dataset, for which over 30k unique users have rated. The dataset is streamed from the MovieLens 25M dataset, filters for the recent movies, and returns the user ratings for those. After... | [
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82eacf1bde1c93f90df5cc38f3093542ca0e6021 | # Dataset Card for TexPrax
## 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)... | UKPLab/TexPrax | [
"license:cc-by-nc-4.0",
"arxiv:2208.07846",
"region:us"
] | 2022-08-23T11:03:20+00:00 | {"license": "cc-by-nc-4.0"} | 2023-01-11T14:40:21+00:00 | [
"2208.07846"
] | [] | TAGS
#license-cc-by-nc-4.0 #arxiv-2208.07846 #region-us
| Dataset Card for TexPrax
========================
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 D... | [
"### Dataset Summary\n\n\nThis dataset contains dialogues collected from German factory workers at the *Center for industrial productivity* (CiP). The dialogues mostly concern issues workers encounter during their daily work, such as machines breaking down, material missing, etc. The dialogues are further expert-an... | [
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0ceebe0b11b8c2e0ccbe11b33c8b13530843ef2e |
# Dataset Card for Audio Keyword Spotting
## Table of Contents
- [Table of Contents](#table-of-contents)
## Dataset Description
- **Homepage:** https://sil.ai.org
- **Point of Contact:** [SIL AI email](mailto:idx_aqua@sil.org)
- **Source Data:** [MLCommons/ml_spoken_words](https://huggingface.co/datasets/MLCommons/... | sil-ai/audio-keyword-spotting | [
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"language:eng",
"language:en",
"language:spa",
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... | 2022-08-23T12:36:51+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["other"], "language": ["eng", "en", "spa", "es", "ind", "id"], "license": "cc-by-4.0", "multilinguality": ["multilingual"], "source_datasets": ["extended|common_voice", "MLCommons/ml_spoken_words"], "task_categories": ["automatic-speech-recognition"]... | 2023-07-24T17:08:02+00:00 | [] | [
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# Dataset Card for Audio Keyword Spotting
## Table of Contents
- Table of Contents
## Dataset Description
- Homepage: URL
- Point of Contact: SIL AI email
- Source Data: MLCommons/ml_spoken_words, trabina GitHub
!sil-ai logo
## Dataset Summary
The initial version of this dataset is a subset of MLCommons/ml_spo... | [
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8359df330efa22f5f856aba4b0c307ecdaf691e3 | ### Dataset Summary
Input data for the **first** phase of BERT pretraining (sequence length 128). All text is tokenized with [bert-base-uncased](https://huggingface.co/bert-base-uncased) tokenizer.
Data is obtained by concatenating and shuffling [wikipedia](https://huggingface.co/datasets/wikipedia) (split: `20220301... | and111/bert_pretrain_phase1 | [
"region:us"
] | 2022-08-23T12:51:03+00:00 | {} | 2022-08-23T16:14:31+00:00 | [] | [] | TAGS
#region-us
| ### Dataset Summary
Input data for the first phase of BERT pretraining (sequence length 128). All text is tokenized with bert-base-uncased tokenizer.
Data is obtained by concatenating and shuffling wikipedia (split: 'URL') and bookcorpusopen datasets and running reference BERT data preprocessor without masking and in... | [
"### Dataset Summary\n\nInput data for the first phase of BERT pretraining (sequence length 128). All text is tokenized with bert-base-uncased tokenizer. \nData is obtained by concatenating and shuffling wikipedia (split: 'URL') and bookcorpusopen datasets and running reference BERT data preprocessor without maskin... | [
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18841ce4c41a94aaed0041342c6a7cb0c59cfcfe |
# Dataset Card for Collection3
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Field... | RCC-MSU/collection3 | [
"task_categories:token-classification",
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"language:ru",
"license:other",
"region:us"
] | 2022-08-23T13:03:02+00:00 | {"annotations_creators": ["other"], "language_creators": ["found"], "language": ["ru"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "Collection3",... | 2023-01-31T09:47:58+00:00 | [] | [
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| Dataset Card for Collection3
============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Persona... | [
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1a5c9e376174dae432c38636a90aafb600204ecd | ### Dataset Summary
Input data for the **second** phase of BERT pretraining (sequence length 512). All text is tokenized with [bert-base-uncased](https://huggingface.co/bert-base-uncased) tokenizer.
Data is obtained by concatenating and shuffling [wikipedia](https://huggingface.co/datasets/wikipedia) (split: `2022030... | and111/bert_pretrain_phase2 | [
"region:us"
] | 2022-08-23T13:17:50+00:00 | {} | 2022-08-24T13:01:12+00:00 | [] | [] | TAGS
#region-us
| ### Dataset Summary
Input data for the second phase of BERT pretraining (sequence length 512). All text is tokenized with bert-base-uncased tokenizer.
Data is obtained by concatenating and shuffling wikipedia (split: 'URL') and bookcorpusopen datasets and running reference BERT data preprocessor without masking and i... | [
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e97515e0046d6edb35a7e3e236e7f898bf0b3222 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: Graphcore/deberta-base-squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evalua... | autoevaluate/autoeval-eval-project-squad-3b1fb479-1302649847 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-23T13:35:09+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "Graphcore/deberta-base-squad", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "context",... | 2022-08-23T13:38:28+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: Graphcore/deberta-base-squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's auto... | [
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"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: Graphcore/deberta-base-squad\n* Dataset: squad\n* Config: plain_text\n* Split: vali... | [
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b1aa7d48bd28bf611cb1e24ebdacd4943790a24f | # 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: yuvraj/summarizer-cnndm
* Dataset: sepidmnorozy/Urdu_sentiment
* Config: sepidmnorozy--Urdu_sentiment
* Split:... | autoevaluate/autoeval-eval-project-sepidmnorozy__Urdu_sentiment-559fc5f8-1302749848 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-23T13:57:21+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["sepidmnorozy/Urdu_sentiment"], "eval_info": {"task": "summarization", "model": "yuvraj/summarizer-cnndm", "metrics": ["accuracy"], "dataset_name": "sepidmnorozy/Urdu_sentiment", "dataset_config": "sepidmnorozy--Urdu_sentiment", "dataset_split": ... | 2022-08-23T13:58:02+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: yuvraj/summarizer-cnndm
* Dataset: sepidmnorozy/Urdu_sentiment
* Config: sepidmnorozy--Urdu_sentiment
* Split: train
To run new evaluation jobs, ... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: yuvraj/summarizer-cnndm\n* Dataset: sepidmnorozy/Urdu_sentiment\n* Config: sepidmnorozy--Urdu_sentiment\n* Split: train\n\nTo run new ev... | [
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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: Summarization\n* Model: yuvraj/summarizer-cnndm\n* Dataset: sepidmnorozy/Urdu_sentiment\n* Config: sepidmnorozy-... | [
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8024ae5e1f3ba083cbfca1e9b4499f4b38ff7b11 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-superqa2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluatio... | autoevaluate/autoeval-eval-project-squad_v2-7b0e814c-1303349869 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-23T15:36:10+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/rob-base-superqa2", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "context",... | 2022-08-23T15:38:54+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-superqa2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
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: Question Answering\n* Model: nbroad/rob-base-superqa2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging... | [
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ddd3894523954e4a2487931093cccd4a6ea182f4 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-superqa2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: test
To run new eval... | autoevaluate/autoeval-eval-project-adversarial_qa-92a1abad-1303449870 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-23T15:38:02+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/rob-base-superqa2", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "test", "col_mapping": {"context":... | 2022-08-23T15:39:03+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-superqa2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: test
To run new evaluation jobs, visit Hugging Face's au... | [
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4bb6b28f832a1118230451a2e98dfaab9409235f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-superqa2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run ne... | autoevaluate/autoeval-eval-project-adversarial_qa-0243fffc-1303549871 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-23T15:49:07+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/rob-base-superqa2", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation", "col_mapping": {"con... | 2022-08-23T15:50:06+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-superqa2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, visit Hugging Fac... | [
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86181b5c13aff9667b5513999aaf83d2747e49f8 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-superqa2
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation... | autoevaluate/autoeval-eval-project-squad-1eddc82e-1303649872 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-23T15:53:40+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/rob-base-superqa2", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "context", "qu... | 2022-08-23T15:56:08+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-superqa2
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's automati... | [
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0ae49250e4884b552f29252e529d01c77029581f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-gc1
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation job... | autoevaluate/autoeval-eval-project-squad_v2-4a3c5c8d-1305249893 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-23T20:05:10+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/rob-base-gc1", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "context", "que... | 2022-08-23T20:07:54+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-gc1
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's automatic mo... | [
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9d29ec3eb036547043efdbef5aeafa474f678f0e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: nbroad/deb-base-gc2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation job... | autoevaluate/autoeval-eval-project-squad_v2-4a3c5c8d-1305249894 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-23T20:05:16+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/deb-base-gc2", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "context", "que... | 2022-08-23T20:08:47+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: Question Answering
* Model: nbroad/deb-base-gc2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's automatic mo... | [
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32c7f6b18f236793540e2161d62b9a722e0bf5d5 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-gc1
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new eva... | autoevaluate/autoeval-eval-project-adversarial_qa-7ab9b963-1305349895 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-23T20:05:34+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/rob-base-gc1", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation", "col_mapping": {"context"... | 2022-08-23T20:06:32+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-gc1
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, visit Hugging Face's a... | [
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c0672e0447fc2813a905c6d33718bea35650baa2 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: nbroad/deb-base-gc2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new eva... | autoevaluate/autoeval-eval-project-adversarial_qa-7ab9b963-1305349896 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-23T20:05:39+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/deb-base-gc2", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation", "col_mapping": {"context"... | 2022-08-23T20:06:52+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: nbroad/deb-base-gc2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, visit Hugging Face's a... | [
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2c955c42d1e82b3e62b2f42b8639aa1d17be323a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-gc1
* Dataset: quoref
* Config: default
* Split: validation
To run new evaluation jobs, ... | autoevaluate/autoeval-eval-project-quoref-bbfe943f-1305449897 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-23T20:06:57+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["quoref"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/rob-base-gc1", "metrics": [], "dataset_name": "quoref", "dataset_config": "default", "dataset_split": "validation", "col_mapping": {"context": "context", "question... | 2022-08-23T20:08:05+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-gc1
* Dataset: quoref
* Config: default
* Split: validation
To run new evaluation jobs, visit Hugging Face's automatic model... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/rob-base-gc1\n* Dataset: quoref\n* Config: default\n* Split: validation\n... |
adbb98bfc272bb274f22f4c978a4bce3607b3597 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: nbroad/deb-base-gc2
* Dataset: quoref
* Config: default
* Split: validation
To run new evaluation jobs, ... | autoevaluate/autoeval-eval-project-quoref-bbfe943f-1305449898 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-23T20:07:03+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["quoref"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/deb-base-gc2", "metrics": [], "dataset_name": "quoref", "dataset_config": "default", "dataset_split": "validation", "col_mapping": {"context": "context", "question... | 2022-08-23T20:08:26+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: nbroad/deb-base-gc2
* Dataset: quoref
* Config: default
* Split: validation
To run new evaluation jobs, visit Hugging Face's automatic model... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/deb-base-gc2\n* Dataset: quoref\n* Config: default\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Face's ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/deb-base-gc2\n* Dataset: quoref\n* Config: default\n* Split: validation\n\nT... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/deb-base-gc2\n* Dataset: quoref\n* Config: default\n* Split: validation\n... |
75eff2931ed9963c2996d7744a83db02453b4e54 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-superqa1
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluatio... | autoevaluate/autoeval-eval-project-squad_v2-1e2c143e-1305549899 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-23T20:17:15+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/rob-base-superqa1", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "context",... | 2022-08-23T20:20:07+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-superqa1
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
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: Question Answering\n* Model: nbroad/rob-base-superqa1\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/rob-base-superqa1\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validat... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/rob-base-superqa1\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: vali... |
c66053954b69c9ab189d13ae97c0106e6d162ebe | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-superqa1
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run ne... | autoevaluate/autoeval-eval-project-adversarial_qa-b21f20c3-1305649900 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-23T20:17:44+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/rob-base-superqa1", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation", "col_mapping": {"con... | 2022-08-23T20:18:46+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: Question Answering
* Model: nbroad/rob-base-superqa1
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, visit Hugging Fac... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/rob-base-superqa1\n* Dataset: adversarial_qa\n* Config: adversarialQA\n* Split: validation\n\nTo run new evaluation jobs, vi... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/rob-base-superqa1\n* Dataset: adversarial_qa\n* Config: adversarialQA\n* Spl... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/rob-base-superqa1\n* Dataset: adversarial_qa\n* Config: adversarialQA\n* ... |
335a5dd4efdc8cc6250a3c6f4a72c336f039f91e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-superqa1
* Dataset: quoref
* Config: default
* Split: validation
To run new evaluation j... | autoevaluate/autoeval-eval-project-quoref-9c01ff03-1305849901 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-23T20:22:28+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["quoref"], "eval_info": {"task": "extractive_question_answering", "model": "nbroad/rob-base-superqa1", "metrics": [], "dataset_name": "quoref", "dataset_config": "default", "dataset_split": "validation", "col_mapping": {"context": "context", "que... | 2022-08-23T20:42:05+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: nbroad/rob-base-superqa1
* Dataset: quoref
* Config: default
* Split: validation
To run new evaluation jobs, visit Hugging Face's automatic ... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/rob-base-superqa1\n* Dataset: quoref\n* Config: default\n* Split: validation\n\nTo run new evaluation jobs, visit Hugging Fa... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/rob-base-superqa1\n* Dataset: quoref\n* Config: default\n* Split: validation... | [
13,
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: nbroad/rob-base-superqa1\n* Dataset: quoref\n* Config: default\n* Split: validat... |
59b17e6ed36b643b608da2d1e2fe8827278c2459 | Wiki_dialog dataset with Inpainting (MLM) on dialog. Section 2.1 in paper : https://arxiv.org/abs/2205.09073
https://huggingface.co/datasets/djaym7/wiki_dialog
Access using
dataset = datasets.load_dataset('djaym7/wiki_dialog_mlm','OQ', beam_runner='DirectRunner') | djaym7/wiki_dialog_mlm | [
"license:apache-2.0",
"arxiv:2205.09073",
"region:us"
] | 2022-08-23T21:18:15+00:00 | {"license": "apache-2.0"} | 2022-08-23T21:23:32+00:00 | [
"2205.09073"
] | [] | TAGS
#license-apache-2.0 #arxiv-2205.09073 #region-us
| Wiki_dialog dataset with Inpainting (MLM) on dialog. Section 2.1 in paper : URL
URL
Access using
dataset = datasets.load_dataset('djaym7/wiki_dialog_mlm','OQ', beam_runner='DirectRunner') | [] | [
"TAGS\n#license-apache-2.0 #arxiv-2205.09073 #region-us \n"
] | [
23
] | [
"passage: TAGS\n#license-apache-2.0 #arxiv-2205.09073 #region-us \n"
] |
07d3d059cbdce2156e917dfbc63d43f068f9efdb | # Dataset Card for librispeech_asr
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instanc... | Sidd2899/MyspeechASR | [
"task_categories:automatic-speech-recognition",
"task_categories:audio-classification",
"task_ids:speaker-identification",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"sou... | 2022-08-24T05:00:58+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition", "audio-classi... | 2022-09-01T11:36:24+00:00 | [] | [
"en"
] | TAGS
#task_categories-automatic-speech-recognition #task_categories-audio-classification #task_ids-speaker-identification #annotations_creators-expert-generated #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language... | Dataset Card for librispeech\_asr
=================================
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 Dat... | [
"### Dataset Summary\n\n\nLibriSpeech is a corpus of approximately 1000 hours of 16kHz read English speech, prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read audiobooks from the LibriVox project, and has been carefully segmented and aligned.",
"### Supported Tasks and... | [
"TAGS\n#task_categories-automatic-speech-recognition #task_categories-audio-classification #task_ids-speaker-identification #annotations_creators-expert-generated #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #la... | [
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