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bbbbe1058950bad355118b9db17521683f12b0d2 | # Dialog bAbI tasks data
In this directory is the set of 6 tasks for testing end-to-end dialog systems in the restaurant domain as described in the paper "Learning End-to-End Goal-Oriented Dialog" by Bordes & Weston (http://arxiv.org/abs/1605.07683). The aim is that each task tests a unique aspect of dialog. Tasks are ... | Heriot-WattUniversity/dialog_babi | [
"arxiv:1605.07683",
"arxiv:1502.05698",
"region:us"
] | 2022-07-09T08:32:32+00:00 | {} | 2022-07-12T07:27:12+00:00 | [
"1605.07683",
"1502.05698"
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#arxiv-1605.07683 #arxiv-1502.05698 #region-us
| # Dialog bAbI tasks data
In this directory is the set of 6 tasks for testing end-to-end dialog systems in the restaurant domain as described in the paper "Learning End-to-End Goal-Oriented Dialog" by Bordes & Weston (URL The aim is that each task tests a unique aspect of dialog. Tasks are designed to complement the set... | [
"# Dialog bAbI tasks data\nIn this directory is the set of 6 tasks for testing end-to-end dialog systems in the restaurant domain as described in the paper \"Learning End-to-End Goal-Oriented Dialog\" by Bordes & Weston (URL The aim is that each task tests a unique aspect of dialog. Tasks are designed to complement... | [
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"# Dialog bAbI tasks data\nIn this directory is the set of 6 tasks for testing end-to-end dialog systems in the restaurant domain as described in the paper \"Learning End-to-End Goal-Oriented Dialog\" by Bordes & Weston (URL The aim is that each task test... | [
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afb1696c468d769453989ac44294001a49e92792 | This dataset only consists of linearized underlying data table of charts and their corresponding summaries.
Model that use this dataset: https://huggingface.co/saadob12/t5_C2T_autochart
## Created By:
Zhu, J., Ran, J., Lee, R. K. W., Choo, K., & Li, Z. (2021). AutoChart: A Dataset for Chart-to-Text Generation Task.... | saadob12/Autochart | [
"arxiv:2108.06897",
"region:us"
] | 2022-07-09T10:49:49+00:00 | {} | 2022-07-10T09:08:55+00:00 | [
"2108.06897"
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#arxiv-2108.06897 #region-us
| This dataset only consists of linearized underlying data table of charts and their corresponding summaries.
Model that use this dataset: URL
Created By:
-----------
Zhu, J., Ran, J., Lee, R. K. W., Choo, K., & Li, Z. (2021). AutoChart: A Dataset for Chart-to-Text Generation Task. arXiv preprint arXiv:2108.06897.
... | [] | [
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81c11dc231014eefabd36647edaf2bc62596d820 | This dataset only consists of linearized underlying data table of charts and their corresponding summaries.
Model that use this dataset: https://huggingface.co/saadob12/t5_C2T_big
## Created By:
Kanthara, S., Leong, R. T. K., Lin, X., Masry, A., Thakkar, M., Hoque, E., & Joty, S. (2022). Chart-to-Text: A Large-Scale... | saadob12/chart-to-text | [
"arxiv:2203.06486",
"region:us"
] | 2022-07-09T11:10:51+00:00 | {} | 2022-07-10T09:09:33+00:00 | [
"2203.06486"
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#arxiv-2203.06486 #region-us
| This dataset only consists of linearized underlying data table of charts and their corresponding summaries.
Model that use this dataset: URL
Created By:
-----------
Kanthara, S., Leong, R. T. K., Lin, X., Masry, A., Thakkar, M., Hoque, E., & Joty, S. (2022). Chart-to-Text: A Large-Scale Benchmark for Chart Summar... | [
"### Note\n\n\nThe original paper published two sub-datasets one collected from statista and the other from pew. The dataset upload here is from statista. Images can be downloaded from the github repo mentioned above.\n\n\nLangugage\n=========\n\n\nThe data is in english and the summaries are in english.\n\n\nDatas... | [
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f75101f732c78327133fac8ae1adc1cdc2a71432 | j | AlejandroSoumah/cancer_images_soumah | [
"region:us"
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17849ed8daf554fec15778094357687f18e13e5c | Dataset1 | kasumi222/busy2 | [
"region:us"
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#region-us
| Dataset1 | [] | [
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5326062032b8d6b1a9bdfbe7fe8ea4a1f997405a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: google/pegasus-large
* Dataset: pn_summary
* Config: 1.0.0
* Split: train
To run new evaluation jobs, visit H... | autoevaluate/autoeval-staging-eval-project-pn_summary-5464695d-10495406 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-10T10:47:54+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["pn_summary"], "eval_info": {"task": "summarization", "model": "google/pegasus-large", "metrics": [], "dataset_name": "pn_summary", "dataset_config": "1.0.0", "dataset_split": "train", "col_mapping": {"text": "article", "target": "summary"}}} | 2022-07-11T13:22:50+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/pegasus-large
* Dataset: pn_summary
* Config: 1.0.0
* Split: train
To run new evaluation jobs, visit Hugging Face's automatic model evalua... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: google/pegasus-large\n* Dataset: pn_summary\n* Config: 1.0.0\n* Split: train\n\nTo run new evaluation jobs, visit Hugging Face's automat... | [
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152d1ac751d8406ad7c995fa1cc45e6dcec0ddac | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: facebook/bart-large-xsum
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hu... | autoevaluate/autoeval-staging-eval-project-xsum-02414083-10505407 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-10T11:33:59+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["xsum"], "eval_info": {"task": "summarization", "model": "facebook/bart-large-xsum", "metrics": [], "dataset_name": "xsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "document", "target": "summary"}}} | 2022-07-10T12:05:20+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: facebook/bart-large-xsum
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic model evaluat... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: facebook/bart-large-xsum\n* Dataset: xsum\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automati... | [
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b63942bf00044ed3db0013ed8d052217b9f986d9 |
# Dataset Card for "RO-FB-Offense"
## 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-insta... | readerbench/ro-fb-offense | [
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"regio... | 2022-07-10T16:53:14+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["ro"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["hate-speech-detection"], "pretty_n... | 2023-02-20T13:26:28+00:00 | [] | [
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| Dataset Card for "RO-FB-Offense"
================================
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
... | [
"### Dataset Summary\n\n\nFB-RO-Offense corpus, an offensive speech dataset containing 4,455 user-generated comments from Facebook live broadcasts available in Romanian\n\n\nThe annotation follows the hierarchical tagset proposed in the Germeval 2018 Dataset.\nThe following Classes are available:\n\n\n* OTHER: Non-... | [
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d3602f61599f0724dfd5f51d15dfe7559ae5827e |
## Dataset Summary
This dataset obtained by language classification and filtering of the [Common Crawl](https://commoncrawl.org/) (May-2022) corpus using the [ungoliant](https://github.com/oscar-corpus/ungoliant) architecture. Data is distributed by taking Indonesian language only.
### Loader
TBD
### Licensing Info... | acul3/Oscar_Indo_May_2022 | [
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|
## Dataset Summary
This dataset obtained by language classification and filtering of the Common Crawl (May-2022) corpus using the ungoliant architecture. Data is distributed by taking Indonesian language only.
### Loader
TBD
### Licensing Information
These data are released under this licensing scheme
We do... | [
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3146ccc9a5b0d99bff094d03a84464919a0236fb |
SimulacraUnsupervised is a download of Simulacra Aesthetic Captions from JDP converted to a JPEG compressed parquet.
Under the BirdL-AirL License | BirdL/SimulacraUnsupervised | [
"task_categories:unconditional-image-generation",
"size_categories:100K<n<1M",
"region:us"
] | 2022-07-10T18:17:34+00:00 | {"annotations_creators": [], "language_creators": [], "language": [], "multilinguality": [], "size_categories": ["100K<n<1M"], "source_datasets": [], "task_categories": ["unconditional-image-generation"], "task_ids": [], "pretty_name": "Simulacra Aes Captions Unsupervised", "tags": []} | 2022-12-19T20:31:16+00:00 | [] | [] | TAGS
#task_categories-unconditional-image-generation #size_categories-100K<n<1M #region-us
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SimulacraUnsupervised is a download of Simulacra Aesthetic Captions from JDP converted to a JPEG compressed parquet.
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78166f908eb6e85c67ea0f0f27d8bdb6997392b8 | [Needs More Information]
# Dataset Card for Questions-vs-Statements-Classification
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... | jonaskoenig/Questions-vs-Statements-Classification | [
"region:us"
] | 2022-07-10T19:24:09+00:00 | {} | 2022-07-11T14:36:35+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for Questions-vs-Statements-Classification
## 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 ... | [
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875791b7e0afdfdfabaca83358541de2839ecb0f | # 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: t5-large
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: train
To run new evaluation jobs, visit Hugging Fa... | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-73d015e6-10555411 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-11T06:39:55+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "t5-large", "metrics": ["bertscore"], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "train", "col_mapping": {"text": "article", "target": "highlights... | 2022-07-11T20:21:10+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: Summarization
* Model: t5-large
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: train
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.
## ... | [
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4c082ce83a06a96df6778730fd41de34f412fd57 | # 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: saattrupdan/nbailab-base-ner-scandi
* Dataset: dane
* Config: default
* Split: test
To run new evaluat... | autoevaluate/autoeval-staging-eval-project-dane-2d14d683-10645434 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-11T12:13:24+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["dane"], "eval_info": {"task": "entity_extraction", "model": "saattrupdan/nbailab-base-ner-scandi", "metrics": [], "dataset_name": "dane", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"tokens": "tokens", "tags": "ner_tags... | 2022-07-11T12:14:03+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: Token Classification
* Model: saattrupdan/nbailab-base-ner-scandi
* Dataset: dane
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's autom... | [
"# 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: saattrupdan/nbailab-base-ner-scandi\n* Dataset: dane\n* Config: default\n* Split: test\n\nTo run new evaluation jobs, visit Huggi... | [
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b570f863dc7da86ab63e1f695309218b12ad010b | # 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: patrickvonplaten/bert2bert_cnn_daily_mail
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: train
To run new ... | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-da2ad07e-10655435 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-11T12:15:22+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "patrickvonplaten/bert2bert_cnn_daily_mail", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "train", "col_mapping": {"text": "article",... | 2022-07-12T04:57:39+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: patrickvonplaten/bert2bert_cnn_daily_mail
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: train
To run new evaluation jobs, visit Hugging Face'... | [
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"TAGS\n#autotrain #evaluation #region-us \n",
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efd9bcd04d7c0cc8ee8655a0f448dc315c7623ff |
# Dataset Card for Brill Iconclass AI Test Set
## 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... | biglam/brill_iconclass | [
"task_categories:image-classification",
"task_categories:image-to-text",
"task_categories:feature-extraction",
"task_ids:multi-class-image-classification",
"task_ids:multi-label-image-classification",
"task_ids:image-captioning",
"annotations_creators:expert-generated",
"language_creators:expert-gener... | 2022-07-11T12:16:25+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "license": ["cc0-1.0"], "multilinguality": ["other-iconclass-metadata"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["image-classification", "image-to-text", "feature-extraction"], "task_ids": ["m... | 2023-12-21T10:17:10+00:00 | [] | [] | TAGS
#task_categories-image-classification #task_categories-image-to-text #task_categories-feature-extraction #task_ids-multi-class-image-classification #task_ids-multi-label-image-classification #task_ids-image-captioning #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-other... |
# Dataset Card for Brill Iconclass AI Test Set
## 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
- Anno... | [
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530c56654e422a9d36bc549977c2be4c9ed36ab4 |
## about
- aeslc dataset but cleaned and keywords extracted to a new column
- an EDA website generated via pandas profiling [is on netlify here](https://aeslc-kw-train-eda.netlify.app/)
```
DatasetDict({
train: Dataset({
features: ['email_body', 'subject_line', 'clean_email', 'clean_email_keywords'],
... | postbot/aeslc_kw | [
"multilinguality:monolingual",
"source_datasets:aeslc",
"language:en",
"license:mit",
"text2text generation",
"email",
"email generation",
"enron",
"region:us"
] | 2022-07-11T12:23:36+00:00 | {"language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "source_datasets": ["aeslc"], "pretty_name": "AESLC - Cleaned & Keyword Extracted", "tags": ["text2text generation", "email", "email generation", "enron"]} | 2022-08-07T11:14:34+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #source_datasets-aeslc #language-English #license-mit #text2text generation #email #email generation #enron #region-us
|
## about
- aeslc dataset but cleaned and keywords extracted to a new column
- an EDA website generated via pandas profiling is on netlify here
## Python usage
Basic example notebook here.
| [
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a07fe10431eed994e4c51cd9fdd1c4ccc39c3b65 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Token Classification
* Model: huggingface-course/bert-finetuned-ner
* Dataset: conll2003
* Config: conll2003
* Split: test
To run ne... | autoevaluate/autoeval-staging-eval-project-conll2003-e2bfcc2b-10665436 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-11T13:23:17+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conll2003"], "eval_info": {"task": "entity_extraction", "model": "huggingface-course/bert-finetuned-ner", "metrics": ["jordyvl/ece"], "dataset_name": "conll2003", "dataset_config": "conll2003", "dataset_split": "test", "col_mapping": {"tokens": ... | 2022-07-11T13:24:36+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: huggingface-course/bert-finetuned-ner
* Dataset: conll2003
* Config: conll2003
* Split: test
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: Token Classification\n* Model: huggingface-course/bert-finetuned-ner\n* Dataset: conll2003\n* Config: conll2003\n* Split: test\n\nTo run new evaluation jobs, vi... | [
"TAGS\n#autotrain #evaluation #region-us \n",
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eec3e29cb3a2ce97e0e2118e14bd4fc958483ba6 | [](https://zenodo.org/badge/latestdoi/46981468)
# Corpus of Spanish Golden-Age Sonnets
## Introduction
This corpus comprises sonnets written in Spanish between the 16th and 17th centuries.
This corpus is a dataset saved in .csv, from a previous one in .xml.
All the infor... | biglam/spanish_golden_age_sonnets | [
"multilinguality:monolingual",
"language:es",
"license:cc-by-nc-4.0",
"region:us"
] | 2022-07-11T20:19:39+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["es"], "license": ["cc-by-nc-4.0"], "multilinguality": ["monolingual"], "size_categories": [], "source_datasets": [], "task_categories": [], "task_ids": [], "pretty_name": "Spanish Golden-Age Sonnets", "tags": []} | 2022-08-17T13:59:49+00:00 | [] | [
"es"
] | TAGS
#multilinguality-monolingual #language-Spanish #license-cc-by-nc-4.0 #region-us
| 
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data F... | biglam/atypical_animacy | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"task_ids:intent-classification",
"annotations_creators:expert-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:en",
"license:c... | 2022-07-11T20:33:07+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["cc0-1.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification", "i... | 2024-01-08T15:37:52+00:00 | [
"2005.11140"
] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-sentiment-classification #task_ids-intent-classification #annotations_creators-expert-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-English #license-cc0-1.0 #arxiv-2005.11140 #regi... | # Dataset Card for atypical_animacy
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- ... | [
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0f125aa00bb67237cc8017b58b976a251eed07f2 |
# Dataset Card for "huggingartists/ciggy-blacc"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How to use](#how-to-use)
- [Dataset Structure](#dataset-st... | huggingartists/ciggy-blacc | [
"language:en",
"huggingartists",
"lyrics",
"region:us"
] | 2022-07-12T01:12:25+00:00 | {"language": ["en"], "tags": ["huggingartists", "lyrics"]} | 2022-10-25T09:39:58+00:00 | [] | [
"en"
] | TAGS
#language-English #huggingartists #lyrics #region-us
| Dataset Card for "huggingartists/ciggy-blacc"
=============================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* How to use
* Dataset Structure
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rati... | [
"### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets librar... | [
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"### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.",
"### Supported Tasks and Leaderboards",
"### Languages\n\n\nen\n\n\nHow to use\n-------... | [
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4bffc758dca44d78c2ee31ee4e87bb1ee0102cd2 | #### This custom multilingual-multispeaker TTS speech corpus contains 12.800 balanced samples with audio files (wav format sampled with 16000 Hz) and related transcriptions (csv format with two columns) from 18 speakers. The dataset has been assembled from the following sources:
* [VCTK](https://datashare.ed.ac.uk/han... | mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS | [
"language:lb",
"language:de",
"language:fr",
"language:en",
"language:pt",
"license:cc-by-nc-sa-4.0",
"region:us"
] | 2022-07-12T11:39:49+00:00 | {"language": ["lb", "de", "fr", "en", "pt"], "license": "cc-by-nc-sa-4.0"} | 2022-07-12T14:53:36+00:00 | [] | [
"lb",
"de",
"fr",
"en",
"pt"
] | TAGS
#language-Luxembourgish #language-German #language-French #language-English #language-Portuguese #license-cc-by-nc-sa-4.0 #region-us
| #### This custom multilingual-multispeaker TTS speech corpus contains 12.800 balanced samples with audio files (wav format sampled with 16000 Hz) and related transcriptions (csv format with two columns) from 18 speakers. The dataset has been assembled from the following sources:
* VCTK : 428 + 426 + 426 english male s... | [
"#### This custom multilingual-multispeaker TTS speech corpus contains 12.800 balanced samples with audio files (wav format sampled with 16000 Hz) and related transcriptions (csv format with two columns) from 18 speakers. The dataset has been assembled from the following sources:\n\n* VCTK : 428 + 426 + 426 english... | [
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b0b1ccdad6871e5627a748317f30216af9e03f23 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: autoevaluate/extractive-question-answering
* Dataset: squad
* Config: plain_text
* Split: validation
To ... | autoevaluate/autoeval-staging-eval-project-c230b859-684d-4c33-ba1d-1f5cafa82377-327627 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-12T11:47:11+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "autoevaluate/extractive-question-answering", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"contex... | 2022-07-12T11:48:58+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: autoevaluate/extractive-question-answering
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Huggi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: autoevaluate/extractive-question-answering\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jo... | [
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"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: autoevaluate/extractive-question-answering\n* Dataset: squad\n* Config: plain_text\... | [
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f4d8f1ddfa82c2e325acdeb90d88e3d6c530241a | # Vietnamese Inverse Text Normalization
Inverse text normalization (ITN) is the task that transforms spoken to written styles. It is particularly useful in automatic speech recognition (ASR) systems where proper names are often miss-recognized by their pronunciations instead of the written forms. By applying ITN, we ... | nguyenvulebinh/spoken_norm_pattern | [
"region:us"
] | 2022-07-12T11:51:19+00:00 | {} | 2022-09-28T05:10:15+00:00 | [] | [] | TAGS
#region-us
| Vietnamese Inverse Text Normalization
=====================================
Inverse text normalization (ITN) is the task that transforms spoken to written styles. It is particularly useful in automatic speech recognition (ASR) systems where proper names are often miss-recognized by their pronunciations instead of the... | [] | [
"TAGS\n#region-us \n"
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6
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fd99d298790f6a4e389eb3df9835bf85bc7e1bfd | # VietAI assignment: Vietnamese Inverse Text Normalization dataset
## Dataset Description
Inverse text normalization (ITN) is the task that transforms spoken to written styles. It is particularly useful in automatic speech recognition (ASR) systems where proper names are often miss-recognized by their pronunciations ... | VietAI/spoken_norm_assignment | [
"region:us"
] | 2022-07-12T12:03:29+00:00 | {} | 2022-07-12T12:33:30+00:00 | [] | [] | TAGS
#region-us
| VietAI assignment: Vietnamese Inverse Text Normalization dataset
================================================================
Dataset Description
-------------------
Inverse text normalization (ITN) is the task that transforms spoken to written styles. It is particularly useful in automatic speech recognition (... | [
"### Data Splits\n\n\nThe ITN dataset has 3 splits: *train*, *validation*, and *test*. In *train*, *validation* splits, the input (src) and their label (tgt) are provided. In the *test* splits, only the input (src) is provided."
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] |
37b34ed990d1333bf869040ab103d19f553ad3d5 | WeedCrop Image Dataset
Data Description
It includes 2822 images.
Images are annotated in YOLO v5 PyTorch format.
-Train directory contains 2469 images and respective labels in yolov5 Pytorch format.
-Validation directory contains 235 images and respective labels in yolov5 Pytorch format.
-Test directory contains 118 ... | Sa-m/cropsVSweed | [
"region:us"
] | 2022-07-12T12:34:36+00:00 | {} | 2022-07-12T12:48:01+00:00 | [] | [] | TAGS
#region-us
| WeedCrop Image Dataset
Data Description
It includes 2822 images.
Images are annotated in YOLO v5 PyTorch format.
-Train directory contains 2469 images and respective labels in yolov5 Pytorch format.
-Validation directory contains 235 images and respective labels in yolov5 Pytorch format.
-Test directory contains 118 ... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
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b65b3be2d3a7f2d9e799c0b4479e142cbacc3a74 | # ashaar
introducing ashaar, the largest dataset for arabic poetry
# general statistics
| metric | value |
|-----------------|-----------|
| number of poems | 254,630 |
| number of baits | 3,857,429 |
| number of poets | 7,167 |
# License
This dataset is released under fair use for research d... | arbml/ashaar | [
"region:us"
] | 2022-07-12T13:42:57+00:00 | {} | 2022-09-03T17:05:56+00:00 | [] | [] | TAGS
#region-us
| ashaar
======
introducing ashaar, the largest dataset for arabic poetry
general statistics
==================
License
=======
This dataset is released under fair use for research development only. Poets have the sole right to take down any access to their work. The authors of the websites, also, have the right... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
625984d7432747c0838d81125d401da72e69b33e | # Dataset Card for "squad-v2-fi"
### Dataset Summary
Machine translated and normalized Finnish version of the SQuAD-v2.0 dataset. Details about the translation and normalization processes can be found [here](https://helda.helsinki.fi/handle/10138/344973).
Stanford Question Answering Dataset (SQuAD) is a reading compre... | ilmariky/SQuAD_v2_fi | [
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| Dataset Card for "squad-v2-fi"
==============================
### Dataset Summary
Machine translated and normalized Finnish version of the SQuAD-v2.0 dataset. Details about the translation and normalization processes can be found here.
Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset... | [
"### Dataset Summary\n\n\nMachine translated and normalized Finnish version of the SQuAD-v2.0 dataset. Details about the translation and normalization processes can be found here.\n\n\nStanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a ... | [
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fb1586468a932064c125c3053a66bac399271434 | # Egyptian hieroglyphs 𓂀
## _Hieroglyphs image dataset along with Language Model !_

## Features
- This dataset is build from the hieroglyphs found in 10 different pictures from the book "The Pyramid of Unas" (Alexandre Piankoff, 1955). W... | HamdiJr/Egyptian_hieroglyphs | [
"region:us"
] | 2022-07-12T17:43:05+00:00 | {} | 2022-07-22T17:31:58+00:00 | [] | [] | TAGS
#region-us
| # Egyptian hieroglyphs 𓂀
## _Hieroglyphs image dataset along with Language Model !_
!code
## Features
- This dataset is build from the hieroglyphs found in 10 different pictures from the book "The Pyramid of Unas" (Alexandre Piankoff, 1955). We therefore urge you to have access to this book before using the dataset... | [
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ac0e2fc71c40c20d87c743b93ea731663549d5fd | # Dataset Card for "WikiQA-100-fi"
### Dataset Summary
WikiQA-100-fi dataset contains 100 questions related to Finnish Wikipedia articles. The dataset is in the [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) format, and there are 10 questions for each category identified by the authors of SQuAD. Unlike SQuAD2.0, ... | ilmariky/WikiQA-100-fi | [
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] | 2022-07-12T17:51:02+00:00 | {"language": ["fi"], "license": ["gpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1k"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"], "pretty_name": "WikiQA-100-fi", "tags": ["question-generation"], "train-eval-index": [{"config": "plain_text", "task": "question-answeri... | 2022-10-25T14:47:21+00:00 | [] | [
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#task_categories-question-answering #task_ids-extractive-qa #multilinguality-monolingual #size_categories-n<1k #language-Finnish #license-gpl-3.0 #question-generation #region-us
| Dataset Card for "WikiQA-100-fi"
================================
### Dataset Summary
WikiQA-100-fi dataset contains 100 questions related to Finnish Wikipedia articles. The dataset is in the SQuAD format, and there are 10 questions for each category identified by the authors of SQuAD. Unlike SQuAD2.0, WikiQA-100-f... | [
"### Dataset Summary\n\n\nWikiQA-100-fi dataset contains 100 questions related to Finnish Wikipedia articles. The dataset is in the SQuAD format, and there are 10 questions for each category identified by the authors of SQuAD. Unlike SQuAD2.0, WikiQA-100-fi contains only answerable questions. The dataset is tiny co... | [
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183fa71f5416ad2ab1b50b6be69769ad1508581a |
# KcBERT Pre-Training Corpus (Korean News Comments)
## Dataset Description
- **Homepage:** [KcBERT Pre-Training Corpus](https://www.kaggle.com/datasets/junbumlee/kcbert-pretraining-corpus-korean-news-comments)
- **Repository:** [Beomi/KcBERT](https://github.com/Beomi/KcBERT)
- **Paper:** [Needs More Information]
... | Bingsu/KcBERT_Pre-Training_Corpus | [
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"langu... | 2022-07-13T05:18:42+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["ko"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": ["fill-mask", "text-generation"], "task_ids": ["masked-language-m... | 2022-07-13T06:26:02+00:00 | [] | [
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=================================================
Dataset Description
-------------------
* Homepage: KcBERT Pre-Training Corpus
* Repository: Beomi/KcBERT
* Paper:
* Leaderboard:
* Point of Contact:
KcBERT
------
beomi/kcbert-base
Github KcBERT Repo: URL
K... | [
"### License\n\n\nCC BY-SA 4.0\n\n\nDataset Structure\n-----------------",
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d04851f69eb0d5ae952501387d38d2d4eb073a1c | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-book-summary
* Dataset: samsum
* Config: samsum
* Split: test
To run new ... | autoevaluate/autoeval-staging-eval-project-22d4f209-4087-42ac-a9a4-6d47e201055d-6458 | [
"autotrain",
"evaluation",
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-book-summary
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hugging Face'... | [
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f157539762cc2043179f65803a83edf536505d2e | # Five standard datasets for few-shot classification
- *miniImageNet*. It contains 100 classes with 600 images in each class, which are built upon the ImageNet dataset. The 100 classes are divided into 64, 16, 20 for meta-training, meta-validation and meta-testing, respectively.
- *tieredImageNet*. TieredImageNet is al... | pancake/few_shot_datasets | [
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"region:us"
] | 2022-07-13T09:21:56+00:00 | {"license": "mit"} | 2022-07-13T10:08:50+00:00 | [] | [] | TAGS
#license-mit #region-us
| # Five standard datasets for few-shot classification
- *miniImageNet*. It contains 100 classes with 600 images in each class, which are built upon the ImageNet dataset. The 100 classes are divided into 64, 16, 20 for meta-training, meta-validation and meta-testing, respectively.
- *tieredImageNet*. TieredImageNet is al... | [
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babeb4f95e4456db3d2bd7fad9817c1e11bd2fe2 | # 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-6e6ed30f-40d7-4939-99af-0ba4041a05ee-6559 | [
"autotrain",
"evaluation",
"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: 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... | [
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3917c429489260542649a032c487a1625a1fb27f | # 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-516fe874-79cb-42fc-b851-f98848ce24df-6660 | [
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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: 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... | [
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fb6e978692355615bcc252f1720e442e932d7ecb | # 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-5968bffe-3bbc-4366-a1a8-9d11b19abcf7-6862 | [
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] | 2022-07-13T13:02:17+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... | 2022-07-13T13:03:09+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class 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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e1515020a6349b9a4f15d6c063dcbfb59ab5b058 | # 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: autoevaluate/entity-extraction
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new evalu... | autoevaluate/autoeval-staging-eval-project-9e17c416-43f7-4fe8-b337-f391ae065c4a-6963 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-13T13:17:47+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conll2003"], "eval_info": {"task": "entity_extraction", "model": "autoevaluate/entity-extraction", "metrics": [], "dataset_name": "conll2003", "dataset_config": "conll2003", "dataset_split": "test", "col_mapping": {"tokens": "tokens", "tags": "n... | 2022-07-13T13:19:40+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: autoevaluate/entity-extraction
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new evaluation jobs, visit Hugging Face's aut... | [
"# 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: autoevaluate/entity-extraction\n* Dataset: conll2003\n* Config: conll2003\n* Split: test\n\nTo run new evaluation jobs, visit Hug... | [
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a2718d91d23b04a40cf9da5e19e37ba7a40af32d | # 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: wmt16
* Config: ro-en
* Split: test
To run new evaluation jobs, visit Huggi... | autoevaluate/autoeval-staging-eval-project-5cf6dc10-95bf-44e5-9ff2-42dca08d711a-7064 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-13T13:22:03+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["wmt16"], "eval_info": {"task": "translation", "model": "autoevaluate/translation", "metrics": [], "dataset_name": "wmt16", "dataset_config": "ro-en", "dataset_split": "test", "col_mapping": {"source": "translation.ro", "target": "translation.en"... | 2022-07-13T13:26:06+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: Translation
* Model: autoevaluate/translation
* Dataset: wmt16
* Config: ro-en
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic model evaluator.... | [
"# 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: wmt16\n* Config: ro-en\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's automatic m... | [
"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: Translation\n* Model: autoevaluate/translation\n* Dataset: wmt16\n* Config: ro-en\n* Split: test\n\nTo run new e... | [
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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: Translation\n* Model: autoevaluate/translation\n* Dataset: wmt16\n* Config: ro-en\n* Split: test\n\nTo run ne... |
bb88e1af8514f9d01d0134aa319dc77d5ac61699 |
This is a parsed version of [github-jupyter-parsed](https://huggingface.co/datasets/codeparrot/github-jupyter-parsed), with markdown and code pairs. We provide the preprocessing script in [preprocessing.py](https://huggingface.co/datasets/codeparrot/github-jupyter-parsed-v2/blob/main/preprocessing.py). The data is ded... | codeparrot/github-jupyter-text-code-pairs | [
"task_categories:text-generation",
"task_ids:language-modeling",
"multilinguality:monolingual",
"size_categories:unknown",
"language:code",
"license:other",
"region:us"
] | 2022-07-13T13:34:33+00:00 | {"annotations_creators": [], "language": ["code"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "github-jupyter-text-code-pairs"} | 2022-10-25T08:30:34+00:00 | [] | [
"code"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-unknown #language-code #license-other #region-us
|
This is a parsed version of github-jupyter-parsed, with markdown and code pairs. We provide the preprocessing script in URL. The data is deduplicated and consists of 451662 examples.
For similar datasets with text and Python code, there is CoNaLa benchmark from StackOverflow, with some samples curated by annotators. | [] | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #multilinguality-monolingual #size_categories-unknown #language-code #license-other #region-us \n"
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e989f41f7b4bd9fcc4dee49de89c0e40846e2874 | # 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: aatmasidha/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* ... | autoevaluate/autoeval-staging-eval-project-emotion-41e4622b-10765447 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-13T14:02:15+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "aatmasidha/distilbert-base-uncased-finetuned-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text... | 2022-07-13T14:02:51+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: aatmasidha/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation j... | [
"# 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: aatmasidha/distilbert-base-uncased-finetuned-emotion\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run 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: Multi-class Text Classification\n* Model: aatmasidha/distilbert-base-uncased-finetuned-emotion\n* Dataset: em... |
ad54a715f87110485a83cbcbf6a4a3d2cb14327f | # 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: sarahmiller137/distilbert-base-uncased-ft-conll2003
* Dataset: conll2003
* Config: conll2003
* Split: t... | autoevaluate/autoeval-staging-eval-project-conll2003-70dc316d-10775449 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-13T15:01:12+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conll2003"], "eval_info": {"task": "entity_extraction", "model": "sarahmiller137/distilbert-base-uncased-ft-conll2003", "metrics": [], "dataset_name": "conll2003", "dataset_config": "conll2003", "dataset_split": "test", "col_mapping": {"tokens":... | 2022-07-13T15:02:16+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Token Classification
* Model: sarahmiller137/distilbert-base-uncased-ft-conll2003
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new evaluation jobs, vis... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: sarahmiller137/distilbert-base-uncased-ft-conll2003\n* Dataset: conll2003\n* Config: conll2003\n* Split: test\n\nTo run new evalu... | [
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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: sarahmiller137/distilbert-base-uncased-ft-conll2003\n* Dataset: conll2003\n* C... |
c4821b678115e52620027e77f76919953581236c | Question & question body together with the best answers to that question from Reddit.
The score for the question / answer is the upvote count (i.e. positive-negative upvotes).
Only questions / answers that have these properties were extracted:
min_score = 3
min_title_len = 20
min_body_len = 100 | nreimers/reddit_question_best_answers | [
"region:us"
] | 2022-07-13T15:14:37+00:00 | {} | 2022-07-13T16:25:49+00:00 | [] | [] | TAGS
#region-us
| Question & question body together with the best answers to that question from Reddit.
The score for the question / answer is the upvote count (i.e. positive-negative upvotes).
Only questions / answers that have these properties were extracted:
min_score = 3
min_title_len = 20
min_body_len = 100 | [] | [
"TAGS\n#region-us \n"
] | [
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73dc78712bdc87098038515d9fb03bbf97b9e6fb |
# KENNSLURÓMUR - ICELANDIC LECTURES
### [Icelandic]
Kennslurómur - Íslenskir fyrirlestrar er safn af hljóðskrám og samsvarandi texta úr kennslufyrirlestrum sem teknir voru upp í áföngum í Háskólanum í Reykjavík og Háskóla Íslands. Þetta safn má nota við þjálfun talgreina.
Fyrirlesararnir gáfu upptökurnar sínar sem s... | tiro-is/kennsluromur | [
"region:us"
] | 2022-07-13T15:41:14+00:00 | {} | 2022-08-22T14:27:03+00:00 | [] | [] | TAGS
#region-us
|
# KENNSLURÓMUR - ICELANDIC LECTURES
### [Icelandic]
Kennslurómur - Íslenskir fyrirlestrar er safn af hljóðskrám og samsvarandi texta úr kennslufyrirlestrum sem teknir voru upp í áföngum í Háskólanum í Reykjavík og Háskóla Íslands. Þetta safn má nota við þjálfun talgreina.
Fyrirlesararnir gáfu upptökurnar sínar sem s... | [
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"### [Icelandic]\n\nKennslurómur - Íslenskir fyrirlestrar er safn af hljóðskrám og samsvarandi texta úr kennslufyrirlestrum sem teknir voru upp í áföngum í Háskólanum í Reykjavík og Háskóla Íslands. Þetta safn má nota við þjálfun talgreina.\n\nFyrirl... | [
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ed6fe0515a01f2663b65e58af0f0117ea29add96 | # 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: issifuamajeed/distilbert-base-uncased-finetuned-ner
* Dataset: conll2003
* Config: conll2003
* Split: t... | autoevaluate/autoeval-staging-eval-project-conll2003-6fdc3173-10805452 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-13T15:43:41+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conll2003"], "eval_info": {"task": "entity_extraction", "model": "issifuamajeed/distilbert-base-uncased-finetuned-ner", "metrics": [], "dataset_name": "conll2003", "dataset_config": "conll2003", "dataset_split": "test", "col_mapping": {"tokens":... | 2022-07-13T15:44:49+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: issifuamajeed/distilbert-base-uncased-finetuned-ner
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new evaluation jobs, vis... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Token Classification\n* Model: issifuamajeed/distilbert-base-uncased-finetuned-ner\n* Dataset: conll2003\n* Config: conll2003\n* Split: test\n\nTo run new evalu... | [
"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: issifuamajeed/distilbert-base-uncased-finetuned-ner\n* Dataset: conll2003\n* Conf... | [
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60c5c133f043a5cffe162f9de1c62b9d88f309cf |
# XLCost for text-to-code synthesis
## Dataset Description
This is a subset of [XLCoST benchmark](https://github.com/reddy-lab-code-research/XLCoST), for text-to-code generation at snippet level and program level for **7** programming languages: `Python, C, C#, C++, Java, Javascript and PHP`.
## Languages
The data... | codeparrot/xlcost-text-to-code | [
"task_categories:text-generation",
"task_ids:language-modeling",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:unknown",
"language:code",
"license:cc-by-sa-4.0",
"arxiv:2206.08474",
"region:us"
] | 2022-07-13T17:13:17+00:00 | {"annotations_creators": [], "language_creators": ["crowdsourced", "expert-generated"], "language": ["code"], "license": ["cc-by-sa-4.0"], "multilinguality": ["multilingual"], "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name":... | 2022-10-25T08:30:47+00:00 | [
"2206.08474"
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#task_categories-text-generation #task_ids-language-modeling #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-multilingual #size_categories-unknown #language-code #license-cc-by-sa-4.0 #arxiv-2206.08474 #region-us
|
# XLCost for text-to-code synthesis
## Dataset Description
This is a subset of XLCoST benchmark, for text-to-code generation at snippet level and program level for 7 programming languages: 'Python, C, C#, C++, Java, Javascript and PHP'.
## Languages
The dataset contains text in English and its corresponding code t... | [
"# XLCost for text-to-code synthesis",
"## Dataset Description\nThis is a subset of XLCoST benchmark, for text-to-code generation at snippet level and program level for 7 programming languages: 'Python, C, C#, C++, Java, Javascript and PHP'.",
"## Languages\n\nThe dataset contains text in English and its corres... | [
"TAGS\n#task_categories-text-generation #task_ids-language-modeling #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-multilingual #size_categories-unknown #language-code #license-cc-by-sa-4.0 #arxiv-2206.08474 #region-us \n",
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"passage: TAGS\n#task_categories-text-generation #task_ids-language-modeling #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-multilingual #size_categories-unknown #language-code #license-cc-by-sa-4.0 #arxiv-2206.08474 #region-us \n# XLCost for text-to-code synthesis## Dataset De... |
def6fb768c983ea694dbf3603b05c043eeeb10b4 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-base-book-summary
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new e... | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-d9df6ac3-10825454 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-13T17:26:11+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/led-base-book-summary", "metrics": [], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col_mapping": {"text": "chapter",... | 2022-07-14T02:24:43+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-base-book-summary
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluation jobs, visit Hugging Face's... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/led-base-book-summary\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo run new evaluation jobs, visit... | [
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46a2c0595dc3673ad5970be668c88155a90b1bd4 |
# Dataset Card for `reviews_with_drift`
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#data... | arize-ai/fashion_mnist_label_drift | [
"task_categories:image-classification",
"task_ids:multi-class-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|imdb",
"language:en",
"license:mit",
"region:us"
] | 2022-07-13T19:36:05+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|imdb"], "task_categories": ["image-classification"], "task_ids": ["multi-class-classifica... | 2022-10-25T09:40:04+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-classification #task_ids-multi-class-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|imdb #language-English #license-mit #region-us
|
# Dataset Card for 'reviews_with_drift'
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations... | [
"# Dataset Card for 'reviews_with_drift'",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source ... | [
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2db78afdeaccaedc3b33a95442a4e55766887e17 |
# Dataset Card for Flores 200
## Table of Contents
- [Dataset Card for Flores 200](#dataset-card-for-flores-200)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderbo... | facebook/flores | [
"task_categories:text2text-generation",
"task_categories:translation",
"annotations_creators:found",
"language_creators:expert-generated",
"multilinguality:multilingual",
"multilinguality:translation",
"size_categories:unknown",
"source_datasets:extended|flores",
"language:ace",
"language:acm",
... | 2022-07-13T20:11:38+00:00 | {"annotations_creators": ["found"], "language_creators": ["expert-generated"], "language": ["ace", "acm", "acq", "aeb", "af", "ajp", "ak", "als", "am", "apc", "ar", "ars", "ary", "arz", "as", "ast", "awa", "ayr", "azb", "azj", "ba", "bm", "ban", "be", "bem", "bn", "bho", "bjn", "bo", "bs", "bug", "bg", "ca", "ceb", "cs... | 2024-01-18T15:05:58+00:00 | [
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"ckb",... | TAGS
#task_categories-text2text-generation #task_categories-translation #annotations_creators-found #language_creators-expert-generated #multilinguality-multilingual #multilinguality-translation #size_categories-unknown #source_datasets-extended|flores #language-Achinese #language-Mesopotamian Arabic #language-Ta'izzi-... | Dataset Card for Flores 200
===========================
Table of Contents
-----------------
* Dataset Card for Flores 200
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dat... | [
"### Dataset Summary\n\n\nFLORES is a benchmark dataset for machine translation between English and low-resource languages.\n\n\n\n> \n> The creation of FLORES-200 doubles the existing language coverage of FLORES-101.\n> Given the nature of the new languages, which have less standardization and require\n> more spec... | [
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d578cb5b1cfdbfe451e7c31f8e00ad48f54a5185 | # 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: lewiswatson/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
*... | autoevaluate/autoeval-staging-eval-project-emotion-700553d6-10835457 | [
"autotrain",
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] | 2022-07-13T21:39:39+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "lewiswatson/distilbert-base-uncased-finetuned-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"tex... | 2022-07-13T21:40:06+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: Multi-class Text Classification
* Model: lewiswatson/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation ... | [
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bb6b2ea9bac5837836d38dc524d0b987d2a1fc0f |
# Namuwiki database dump (2021-03-01)
## Dataset Description
- **Homepage:** [나무위키:데이터베이스 덤프](https://namu.wiki/w/%EB%82%98%EB%AC%B4%EC%9C%84%ED%82%A4:%EB%8D%B0%EC%9D%B4%ED%84%B0%EB%B2%A0%EC%9D%B4%EC%8A%A4%20%EB%8D%A4%ED%94%84)
- **Repository:** [Needs More Information]
- **Paper:** [Needs More Information]
- **Lead... | Bingsu/namuwiki_20210301_filtered | [
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"langua... | 2022-07-14T01:18:12+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["ko"], "license": ["cc-by-nc-sa-2.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["fill-mask", "text-generation"], "task_ids": ["masked-language... | 2022-10-14T06:49:53+00:00 | [] | [
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===================================
Dataset Description
-------------------
* Homepage: 나무위키:데이터베이스 덤프
* Repository:
* Paper:
* Leaderboard:
* Point of Contact:
Namuwiki
--------
URL
It is a Korean wiki based on the seed engine, established on April 17, 2015 (KST).
About ... | [
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beb202e174b553589cd2e1e25142a2e6fe4bd0a4 | # 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: bhadresh-savani/bertweet-base-finetuned-emotion
* Dataset: emotion
* Config: default
* Split... | autoevaluate/autoeval-staging-eval-project-emotion-48491e5e-10845458 | [
"autotrain",
"evaluation",
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] | 2022-07-14T05:49:43+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "bhadresh-savani/bertweet-base-finetuned-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "t... | 2022-07-14T05:50:13+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: bhadresh-savani/bertweet-base-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, ... | [
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fb9fad767d82d8d50df9ca04cebfa24efe072d7a | # 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: bhadresh-savani/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: defau... | autoevaluate/autoeval-staging-eval-project-emotion-872f08fa-10855459 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: bhadresh-savani/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluat... | [
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c377dbe9f7c7de4e6c26196dbfea36e09e85277a | # 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: bhadresh-savani/electra-base-emotion
* Dataset: emotion
* Config: default
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To ... | autoevaluate/autoeval-staging-eval-project-emotion-c4654930-10865460 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: bhadresh-savani/electra-base-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation jobs, visit Huggi... | [
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620a4f99bd28587ddc39712c5d7d2684e31dbf9e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-book-summary
* Dataset: xsum
* Config: default
* Split: test
To run new e... | autoevaluate/autoeval-staging-eval-project-xsum-c7d88063-10885461 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-book-summary
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's... | [
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f1e681e92cddae20d01fc498d685f1cf6a052d34 |
# Dataset Card for ASRS Aviation Incident Reports
## 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... | elihoole/asrs-aviation-reports | [
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"license:apache-2.0",
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] | 2022-07-14T10:06:32+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["other"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["summarization"], "pretty_name": "ASRS Aviation Incident Reports "} | 2022-07-15T07:48:26+00:00 | [] | [
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| Dataset Card for ASRS Aviation Incident Reports
===============================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Cura... | [
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b830cf56eb00bc4edd1860dd544a192216eb3587 |
# Dataset Card for Moral Stories
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fie... | demelin/moral_stories | [
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... | 2022-07-14T10:19:52+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["multiple-choice", "text-generation", "text-classification", "commonsense... | 2022-07-17T14:29:10+00:00 | [] | [
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# Dataset Card for Moral Stories
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
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79a0451ac1f2e0b1512e25f1a56839e4eb941c48 |
# Dataset Card for Wino-X
## 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... | demelin/wino_x | [
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... | 2022-07-14T10:21:23+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["machine-generated", "expert-generated"], "language": ["en", "de", "fr", "ru"], "license": ["mit"], "multilinguality": ["multilingual", "translation"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["translation", "... | 2022-07-15T21:28:18+00:00 | [] | [
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# Dataset Card for Wino-X
## Table of Contents
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cbb6e1d3a32411f1b176e4d116f37d414619a703 | This is a handcrafted english to french gender debiasing dataset
Dataset is handcrafted as per the following paper https://aclanthology.org/2020.acl-main.690/ | nickcpk/handcrafted_en_fr_data | [
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#region-us
| This is a handcrafted english to french gender debiasing dataset
Dataset is handcrafted as per the following paper URL | [] | [
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3294fd896c134828fee32e63ca9e99ea7fc8c01d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-large-book-summary
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new ... | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-79c1c0d8-10905463 | [
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-large-book-summary
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
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3bb7788b5d5e27bea1fbbb9fd89bb4119da8f327 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/bigbird-pegasus-large-K-booksum
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
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To... | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-79c1c0d8-10905464 | [
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: pszemraj/bigbird-pegasus-large-K-booksum
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
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c487794585c57af63b407e88cb4ff68ff49a84e5 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/pegasus-large-summary-explain
* Dataset: kmfoda/booksum
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This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
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75280a8f3926668982a17d970708c325a412e0b9 |
# Dataset Card for Understanding Fables
## 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)
- [D... | demelin/understanding_fables | [
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# Dataset Card for Understanding Fables
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3221702053e2bb473803a6fc25db782035951405 | This dataset was created by Deep Learning Brasil(www.deeplearningbrasil.com.br). I just published it on Hugging Face hub with the intention to share it with more people that are training brazilian portuguese models. The original link is here drive.google.com/file/d/1Q0IaIlv2h2BC468MwUFmUST0EyN7gNkn/view. | ArthurBaia/squad_v1_pt_br | [
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1a87807da631e4197d77f7e720c38941abcf26d1 |
Queries for Lotte dataset from [ColBERTv2: Effective and Efficient Retrieval via
Lightweight Late Interaction](https://arxiv.org/abs/2112.01488) | colbertv2/lotte | [
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3be7f857585299f1268d29d3591202d731ea84a1 |
Passages for the LoTTe dataset used for [ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction](https://arxiv.org/abs/2112.01488) | colbertv2/lotte_passages | [
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82958bf09d7d89df4057f4da29070ce88fb57b61 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-large-book-summary
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, ... | autoevaluate/autoeval-staging-eval-project-samsum-f90fd7b5-10915466 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-15T07:27:21+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "pszemraj/led-large-book-summary", "metrics": ["bleu"], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dialogue", "target": "summa... | 2022-07-15T08:35:16+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: pszemraj/led-large-book-summary
* Dataset: samsum
* Config: samsum
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017454cddb5c85def8062c929f4361b50f4491e8 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-base-book-summary
* Dataset: samsum
* Config: samsum
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This repository contains model predictions generated by AutoTrain for the following task and dataset:
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* Model: pszemraj/led-base-book-summary
* Dataset: samsum
* Config: samsum
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To run new evaluation jobs, visit Hugging Face's automatic model ... | [
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936e8aef739add279dfb20352a24bfb9d388949f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-base-book-summary
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation j... | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-899c0b5b-10935468 | [
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"evaluation",
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
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89b36b13527a745815e20ec785ddf270c52e64fc |
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
Published version of dataset used for paper 'Towards an automatic requirements classification in a new Spanish dataset'
### Languages
Spanish
## Dataset Structure
### Data Fields
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## Dataset Description
- Homepage:
- Repository:
- Paper:
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### Dataset Summary
Published version of dataset used for paper 'Towards an automatic requirements classification in a new Spanish dataset'
### Languages
Spanish
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"passage: TAGS\n#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Spanish #license-cc-by-4.0 #region-us \n## Dataset Description\n\n- Homepage:\n-... |
5157310f019772611e38adb57ce1ebe589a1f2d0 |
There are 50 music clips(of 3~5 seconds).
You can load them by the following code:
```python
from datasets import load_dataset
dataset = load_dataset('yongjian/music-clips-50')
clips = dataset['train'] # all 50 music clips
music_1_np_array = clips[0]['audio']['array'] # numpy array of shape=[N,]
```
Or you can dire... | yongjian/music-clips-50 | [
"multilinguality:other-music",
"language:en",
"language:zh",
"region:us"
] | 2022-07-15T11:40:23+00:00 | {"language": ["en", "zh"], "multilinguality": ["other-music"], "pretty_name": "music-clips-50"} | 2022-10-07T13:21:39+00:00 | [] | [
"en",
"zh"
] | TAGS
#multilinguality-other-music #language-English #language-Chinese #region-us
|
There are 50 music clips(of 3~5 seconds).
You can load them by the following code:
Or you can directly download them from Google Drive: URL. | [] | [
"TAGS\n#multilinguality-other-music #language-English #language-Chinese #region-us \n"
] | [
23
] | [
"passage: TAGS\n#multilinguality-other-music #language-English #language-Chinese #region-us \n"
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2dedccea0d29e34b977e54a4e3a9b106cfde86a3 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-book-summary
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To ru... | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-b5ccd808-10945470 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-15T11:45:37+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-book-summary", "metrics": ["bleu"], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"text"... | 2022-07-16T19:06:13+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-book-summary
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-base-16384-book-summary\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\nTo run new evaluation jobs... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-base-16384-book-summary\n* Dataset: cnn_dailymail\n* Config: 3.... | [
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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: pszemraj/long-t5-tglobal-base-16384-book-summary\n* Dataset: cnn_dailymail\n* Config:... |
48c0cf425bd9298d153cafcaf02a9c9fc492c74f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Multi-class Text Classification
* Model: Abdelrahman-Rezk/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: defa... | autoevaluate/autoeval-staging-eval-project-emotion-d66bcc95-10955472 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-15T11:45:49+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "Abdelrahman-Rezk/distilbert-base-uncased-finetuned-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": ... | 2022-07-15T11:46:34+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: Multi-class Text Classification
* Model: Abdelrahman-Rezk/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evalua... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: Abdelrahman-Rezk/distilbert-base-uncased-finetuned-emotion\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Multi-class Text Classification\n* Model: Abdelrahman-Rezk/distilbert-base-uncased-finetuned-emotion\n* Dataset:... | [
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1e31c791f31b55f5caec82618f5a69bf8471b9bc | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/bigbird-pegasus-large-K-booksum
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To... | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-5034faac-10965473 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-15T11:45:54+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/bigbird-pegasus-large-K-booksum", "metrics": ["perplexity"], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col_mapping... | 2022-07-16T07:47:50+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/bigbird-pegasus-large-K-booksum
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluation jobs, visit Hugg... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/bigbird-pegasus-large-K-booksum\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo run new evaluation j... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/bigbird-pegasus-large-K-booksum\n* Dataset: kmfoda/booksum\n* Config: kmfoda--b... | [
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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: pszemraj/bigbird-pegasus-large-K-booksum\n* Dataset: kmfoda/booksum\n* Config: kmfoda... |
716d9abaf7748fc0e34bef0986e4d3fba174f78c | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-book-summary
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: ... | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-e703e34d-10975474 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-15T11:46:01+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-book-summary", "metrics": [], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col_mapping": {... | 2022-07-15T21:33:56+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-book-summary
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluation jobs, vi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-base-16384-book-summary\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo run new eval... | [
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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: pszemraj/long-t5-tglobal-base-16384-book-summary\n* Dataset: kmfoda/booksum\n* Config: k... | [
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dc6e99653f818c6020880a66cc94a3901bebd738 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum... | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-39317f76-10985475 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-15T11:46:08+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP", "metrics": [], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col_m... | 2022-07-16T16:30:51+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: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluatio... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo ru... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP\n* Dataset: kmfoda/booksum\n*... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP\n* Dataset: kmfoda/booksum... |
f0c22bfb495043277bdc0cd682946f7fb642ff87 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/pegasus-large-book-summary
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run ... | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-111b8468-10995476 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-15T11:46:14+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/pegasus-large-book-summary", "metrics": [], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col_mapping": {"text": "chap... | 2022-07-16T12:56:12+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: Summarization
* Model: pszemraj/pegasus-large-book-summary
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluation jobs, visit Hugging F... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/pegasus-large-book-summary\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo run new evaluation jobs, ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/pegasus-large-book-summary\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksu... | [
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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: pszemraj/pegasus-large-book-summary\n* Dataset: kmfoda/booksum\n* Config: kmfoda--boo... |
324635d6c6e6cd1affb2c09c89da530690c39d66 | # 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: jsoutherland/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
... | autoevaluate/autoeval-staging-eval-project-emotion-21f117d5-11035480 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-15T11:47:04+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["emotion"], "eval_info": {"task": "multi_class_classification", "model": "jsoutherland/distilbert-base-uncased-finetuned-emotion", "metrics": [], "dataset_name": "emotion", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"te... | 2022-07-15T11:47:33+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Multi-class Text Classification
* Model: jsoutherland/distilbert-base-uncased-finetuned-emotion
* Dataset: emotion
* Config: default
* Split: test
To run new evaluation... | [
"# 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: jsoutherland/distilbert-base-uncased-finetuned-emotion\n* Dataset: emotion\n* Config: default\n* Split: test\n\nTo run... | [
"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: jsoutherland/distilbert-base-uncased-finetuned-emotion\n* Dataset: emo... | [
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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: jsoutherland/distilbert-base-uncased-finetuned-emotion\n* Dataset: ... |
5cc5981e1b29fb7740e4c2b1eb9310e30c286048 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-book-summary
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To ru... | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-f8e8ca08-11045481 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-15T11:48:01+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-book-summary", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"text": "art... | 2022-07-16T19:19:05+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-book-summary
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-base-16384-book-summary\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\nTo run new evaluation jobs... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-base-16384-book-summary\n* Dataset: cnn_dailymail\n* Config: 3.... | [
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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: pszemraj/long-t5-tglobal-base-16384-book-summary\n* Dataset: cnn_dailymail\n* Config:... |
c5bc19d940ee20698ebb845bcca4cdb8dca6e488 | Dataset_chunked_5 : chunks of 05 seconds obtained from expert samples
Dataset_chunked_10 : chunks of 10 seconds obtained from expert samples
Dataset_expanded : chunks of 10 seconds obtained from whole samples
Data.zip : original dataset | nprime496/building_floor_classification | [
"region:us"
] | 2022-07-15T12:38:42+00:00 | {} | 2022-09-08T14:12:55+00:00 | [] | [] | TAGS
#region-us
| Dataset_chunked_5 : chunks of 05 seconds obtained from expert samples
Dataset_chunked_10 : chunks of 10 seconds obtained from expert samples
Dataset_expanded : chunks of 10 seconds obtained from whole samples
URL : original dataset | [] | [
"TAGS\n#region-us \n"
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7d5c188c0bb71619f3966f8ba8f99df333f04168 | Source of dataset: [Kaggle](https://www.kaggle.com/datasets/l33tc0d3r/indian-food-classification)
This Dataset contains different images of food in 20 different classes. Some of the classes are of Indian food. All the images are extracted from google. Images per classes are little so Data augmentation and transfer lea... | rajistics/indian_food_images | [
"task_categories:image-classification",
"region:us"
] | 2022-07-15T13:40:09+00:00 | {"task_categories": ["image-classification"]} | 2022-08-04T16:58:49+00:00 | [] | [] | TAGS
#task_categories-image-classification #region-us
| Source of dataset: Kaggle
This Dataset contains different images of food in 20 different classes. Some of the classes are of Indian food. All the images are extracted from google. Images per classes are little so Data augmentation and transfer learning will be best suited here.
Classes of the model: "burger", "butter... | [] | [
"TAGS\n#task_categories-image-classification #region-us \n"
] | [
17
] | [
"passage: TAGS\n#task_categories-image-classification #region-us \n"
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e524a8f5fc2bdd5e345a8bb992813952165d21bb | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-base-book-summary
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, v... | autoevaluate/autoeval-staging-eval-project-samsum-22cb3f56-11055482 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-15T17:21:17+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "pszemraj/led-base-book-summary", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dialogue", "target": "summary"}}} | 2022-07-15T17:48:48+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: Summarization
* Model: pszemraj/led-base-book-summary
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic model ... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/led-base-book-summary\n* Dataset: samsum\n* Config: samsum\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face's a... | [
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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: pszemraj/led-base-book-summary\n* Dataset: samsum\n* Config: samsum\n* Split: test\n\... |
6c07ee98f2e111eee37e96bf47af2bff73032d56 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/led-large-book-summary
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, ... | autoevaluate/autoeval-staging-eval-project-samsum-07954c9f-11065483 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-15T17:49:06+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "pszemraj/led-large-book-summary", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dialogue", "target": "summary"}}} | 2022-07-15T18:55:26+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: Summarization
* Model: pszemraj/led-large-book-summary
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic model... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/led-large-book-summary\n* Dataset: samsum\n* Config: samsum\n* Split: test\n... |
5ef5ab57eb6f3b1c19493a6b9cc57c78638e6f1d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-book-summary
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: ... | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-636bebc2-11085484 | [
"autotrain",
"evaluation",
"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-book-summary
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluation jobs, vi... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-base-16384-book-summary\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo run new eval... | [
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1362c265ff02ad01802147e1f33f60e353776404 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum... | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-f6c9ed7c-11095485 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-15T19:09:22+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP", "metrics": [], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col_m... | 2022-07-17T00:12:42+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: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluatio... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo ru... | [
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bcbcef7de3b4e702e526352d825a4ff06de2becb | # MediaSum
## Description
This large-scale media interview dataset contains 463.6K transcripts with abstractive summaries,
collected from interview transcripts and overview / topic descriptions from NPR and CNN.
### **NOTE: The authors have requested that this dataset be used for research purposes only**
## Homepag... | nbroad/mediasum | [
"task_categories:summarization",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"language:en",
"license:cc-by-nc-sa-4.0",
"arxiv:2103.06410",
"region:us"
] | 2022-07-15T20:42:51+00:00 | {"language": ["en"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "task_categories": ["summarization"]} | 2022-10-25T09:40:11+00:00 | [
"2103.06410"
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#task_categories-summarization #multilinguality-monolingual #size_categories-100K<n<1M #language-English #license-cc-by-nc-sa-4.0 #arxiv-2103.06410 #region-us
| # MediaSum
## Description
This large-scale media interview dataset contains 463.6K transcripts with abstractive summaries,
collected from interview transcripts and overview / topic descriptions from NPR and CNN.
### NOTE: The authors have requested that this dataset be used for research purposes only
## Homepage
UR... | [
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"## Description\nThis large-scale media interview dataset contains 463.6K transcripts with abstractive summaries, \ncollected from interview transcripts and overview / topic descriptions from NPR and CNN.",
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97cfbaf63ee4ea7128b5f7d95ec2af38a2f2f369 | # SCP Text+ Embeddings
This dataset is adapted from the [SCP 1to 7 corpus from Kaggle](https://www.kaggle.com/datasets/czzzzzzz/scp1to7)
We concatenated the title, state, text, and image captions columns. We also removed any rows that contained a deleted page, which trims the results down from 6999 -> 6618.
The emb... | hevia/scp-embeddings | [
"region:us"
] | 2022-07-15T20:51:04+00:00 | {} | 2022-07-15T21:01:22+00:00 | [] | [] | TAGS
#region-us
| # SCP Text+ Embeddings
This dataset is adapted from the SCP 1to 7 corpus from Kaggle
We concatenated the title, state, text, and image captions columns. We also removed any rows that contained a deleted page, which trims the results down from 6999 -> 6618.
The embeddings were generated using sentence-transformers/m... | [
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b18612dee0007b1f7129731dbf2f5f2ed4039ad3 |
# Dataset Card for "tner/conll2003"
## Dataset Description
- **Repository:** [T-NER](https://github.com/asahi417/tner)
- **Paper:** [https://www.aclweb.org/anthology/W03-0419/](https://www.aclweb.org/anthology/W03-0419/)
- **Dataset:** CoNLL 2003
- **Domain:** News
- **Number of Entity:** 3
### Dataset Summary
CoN... | tner/conll2003 | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:en",
"license:other",
"region:us"
] | 2022-07-16T09:39:09+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "CoNLL-2003"} | 2022-07-17T23:43:28+00:00 | [] | [
"en"
] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-other #region-us
| Dataset Card for "tner/conll2003"
=================================
Dataset Description
-------------------
* Repository: T-NER
* Paper: URL
* Dataset: CoNLL 2003
* Domain: News
* Number of Entity: 3
### Dataset Summary
CoNLL-2003 NER dataset formatted in a part of TNER project.
* Entity Types: 'ORG', 'PER', ... | [
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cf9ef57ad260810be1298ba795d83c09a915e959 |
# Dataset Card for "tner/ontonotes5"
## Dataset Description
- **Repository:** [T-NER](https://github.com/asahi417/tner)
- **Paper:** [https://aclanthology.org/N06-2015/](https://aclanthology.org/N06-2015/)
- **Dataset:** Ontonotes5
- **Domain:** News
- **Number of Entity:** 8
### Dataset Summary
Ontonotes5 NER data... | tner/ontonotes5 | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:en",
"license:other",
"region:us"
] | 2022-07-16T10:07:45+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "Ontonotes5"} | 2022-07-17T23:43:55+00:00 | [] | [
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] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-other #region-us
| Dataset Card for "tner/ontonotes5"
==================================
Dataset Description
-------------------
* Repository: T-NER
* Paper: URL
* Dataset: Ontonotes5
* Domain: News
* Number of Entity: 8
### Dataset Summary
Ontonotes5 NER dataset formatted in a part of TNER project.
* Entity Types: 'CARDINAL', ... | [
"### Dataset Summary\n\n\nOntonotes5 NER dataset formatted in a part of TNER project.\n\n\n* Entity Types: 'CARDINAL', 'DATE', 'PERSON', 'NORP', 'GPE', 'LAW', 'PERCENT', 'ORDINAL', 'MONEY', 'WORK\\_OF\\_ART', 'FAC', 'TIME', 'QUANTITY', 'PRODUCT', 'LANGUAGE', 'ORG', 'LOC', 'EVENT'\n\n\nDataset Structure\n-----------... | [
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068c8163eee17ea24bdc86211efeaa9001b57c33 |
# Dataset Card for "tner/wnut2017"
## Dataset Description
- **Repository:** [T-NER](https://github.com/asahi417/tner)
- **Paper:** [https://aclanthology.org/W17-4418/](https://aclanthology.org/W17-4418/)
- **Dataset:** WNUT 2017
- **Domain:** Twitter, Reddit, YouTube, and StackExchange
- **Number of Entity:** 6
##... | tner/wnut2017 | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"size_categories:1k<10K",
"language:en",
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"region:us"
] | 2022-07-16T10:08:24+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["1k<10K"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "WNUT 2017"} | 2022-08-06T22:30:30+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/wnut2017"
================================
Dataset Description
-------------------
* Repository: T-NER
* Paper: URL
* Dataset: WNUT 2017
* Domain: Twitter, Reddit, YouTube, and StackExchange
* Number of Entity: 6
### Dataset Summary
WNUT 2017 NER dataset formatted in a part of TNER projec... | [
"### Dataset Summary\n\n\nWNUT 2017 NER dataset formatted in a part of TNER project.\n\n\n* Entity Types: 'creative-work', 'corporation', 'group', 'location', 'person', 'product'\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nAn example of 'train' looks as follows.",
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e79eb66d7f3ee016c31e70ad9d48e33f15047786 |
# Dataset Card for "tner/fin"
## Dataset Description
- **Repository:** [T-NER](https://github.com/asahi417/tner)
- **Paper:** [https://aclanthology.org/U15-1010.pdf](https://aclanthology.org/U15-1010.pdf)
- **Dataset:** FIN
- **Domain:** Financial News
- **Number of Entity:** 4
### Dataset Summary
FIN NER dataset f... | tner/fin | [
"task_categories:token-classification",
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"multilinguality:monolingual",
"size_categories:1K<n<10K",
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"license:mit",
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] | 2022-07-16T10:08:45+00:00 | {"language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "FIN"} | 2022-08-15T16:50:31+00:00 | [] | [
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] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-mit #region-us
| Dataset Card for "tner/fin"
===========================
Dataset Description
-------------------
* Repository: T-NER
* Paper: URL
* Dataset: FIN
* Domain: Financial News
* Number of Entity: 4
### Dataset Summary
FIN NER dataset formatted in a part of TNER project.
FIN dataset contains training (FIN5) and test (F... | [
"### Dataset Summary\n\n\nFIN NER dataset formatted in a part of TNER project.\nFIN dataset contains training (FIN5) and test (FIN3) only, so we randomly sample a half size of test instances from the training set to create validation set.\n\n\n* Entity Types: 'ORG', 'LOC', 'PER', 'MISC'\n\n\nDataset Structure\n----... | [
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8d75081cb3dae70b3f59db7e8d851dbc42f9275d |
# Dataset Card for "tner/bionlp2004"
## Dataset Description
- **Repository:** [T-NER](https://github.com/asahi417/tner)
- **Paper:** [https://aclanthology.org/U15-1010.pdf](https://aclanthology.org/U15-1010.pdf)
- **Dataset:** BioNLP2004
- **Domain:** Biochemical
- **Number of Entity:** 5
### Dataset Summary
BioNLP... | tner/bionlp2004 | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:en",
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] | 2022-07-16T10:08:59+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "BioNLP2004"} | 2022-08-10T00:01:51+00:00 | [] | [
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] | TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-other #region-us
| Dataset Card for "tner/bionlp2004"
==================================
Dataset Description
-------------------
* Repository: T-NER
* Paper: URL
* Dataset: BioNLP2004
* Domain: Biochemical
* Number of Entity: 5
### Dataset Summary
BioNLP2004 NER dataset formatted in a part of TNER project.
BioNLP2004 dataset cont... | [
"### Dataset Summary\n\n\nBioNLP2004 NER dataset formatted in a part of TNER project.\nBioNLP2004 dataset contains training and test only, so we randomly sample a half size of test instances from the training set to create validation set.\n\n\n* Entity Types: 'DNA', 'protein', 'cell\\_type', 'cell\\_line', 'RNA'\n\... | [
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f68cdc7db924369241e7868656f583072acd4e90 |
# Dataset Card for "tner/bc5cdr"
## Dataset Description
- **Repository:** [T-NER](https://github.com/asahi417/tner)
- **Paper:** [https://academic.oup.com/database/article/doi/10.1093/database/baw032/2630271?login=true](https://academic.oup.com/database/article/doi/10.1093/database/baw032/2630271?login=true)
- **Dat... | tner/bc5cdr | [
"task_categories:token-classification",
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"multilinguality:monolingual",
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"region:us"
] | 2022-07-16T10:09:16+00:00 | {"language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "BioCreative V CDR"} | 2022-07-17T23:43:04+00:00 | [] | [
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#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #size_categories-10K<n<100K #language-English #license-other #region-us
| Dataset Card for "tner/bc5cdr"
==============================
Dataset Description
-------------------
* Repository: T-NER
* Paper: URL
* Dataset: BioCreative V CDR
* Domain: Biomedical
* Number of Entity: 2
### Dataset Summary
BioCreative V CDR NER dataset formatted in a part of TNER project.
The original datas... | [
"### Dataset Summary\n\n\nBioCreative V CDR NER dataset formatted in a part of TNER project.\nThe original dataset consists of long documents which cannot be fed on LM because of the length, so we split them into sentences to reduce their size.\n\n\n* Entity Types: 'Chemical', 'Disease'\n\n\nDataset Structure\n----... | [
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d35f3cd11c9c5c1754ef66bfcbcb6a8e632216a6 |
# Dataset Card for "tner/mit_movie_trivia"
## Dataset Description
- **Repository:** [T-NER](https://github.com/asahi417/tner)
- **Dataset:** MIT Movie
- **Domain:** Movie
- **Number of Entity:** 12
### Dataset Summary
MIT Movie NER dataset formatted in a part of [TNER](https://github.com/asahi417/tner) project.
- ... | tner/mit_movie_trivia | [
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#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-other #region-us
| Dataset Card for "tner/mit\_movie\_trivia"
==========================================
Dataset Description
-------------------
* Repository: T-NER
* Dataset: MIT Movie
* Domain: Movie
* Number of Entity: 12
### Dataset Summary
MIT Movie NER dataset formatted in a part of TNER project.
* Entity Types: 'Actor', ... | [
"### Dataset Summary\n\n\nMIT Movie NER dataset formatted in a part of TNER project.\n\n\n* Entity Types: 'Actor', 'Plot', 'Opinion', 'Award', 'Year', 'Genre', 'Origin', 'Director', 'Soundtrack', 'Relationship', 'Character\\_Name', 'Quote'\n\n\nDataset Structure\n-----------------",
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538663410a86a70f788b0c193d42320de330cc0d |
# Dataset Card for "tner/mit_restaurant"
## Dataset Description
- **Repository:** [T-NER](https://github.com/asahi417/tner)
- **Dataset:** MIT restaurant
- **Domain:** Restaurant
- **Number of Entity:** 8
### Dataset Summary
MIT Restaurant NER dataset formatted in a part of [TNER](https://github.com/asahi417/tner) ... | tner/mit_restaurant | [
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#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #size_categories-1K<n<10K #language-English #license-other #region-us
| Dataset Card for "tner/mit\_restaurant"
=======================================
Dataset Description
-------------------
* Repository: T-NER
* Dataset: MIT restaurant
* Domain: Restaurant
* Number of Entity: 8
### Dataset Summary
MIT Restaurant NER dataset formatted in a part of TNER project.
* Entity Types: '... | [
"### Dataset Summary\n\n\nMIT Restaurant NER dataset formatted in a part of TNER project.\n\n\n* Entity Types: 'Rating', 'Amenity', 'Location', 'Restaurant\\_Name', 'Price', 'Hours', 'Dish', 'Cuisine'.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nAn example of 'train' looks as follows.",
... | [
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e1e1c9c6df62fc24117639ec35e02e06abb9c493 |
# Dataset Card for "SumPubmed"
## Original Dataset Description
- **Repository:** [https://github.com/vgupta123/sumpubmed](https://github.com/vgupta123/sumpubmed)
- **Paper:** [More Information Needed](https://vgupta123.github.io/docs/121_paper.pdf)
## Description of dataset processing
5 rows were dropped from the ... | Blaise-g/SumPubmed | [
"language:en",
"region:us"
] | 2022-07-16T14:09:11+00:00 | {"language": ["en"], "pretty_name": "SumPubmed", "train-eval-index": [{"config": "Blaise-g--SumPubmed", "task": "summarization", "task_id": "summarization", "splits": {"eval_split": "test"}, "col_mapping": {"text": "text", "abstract": "target"}}]} | 2022-07-28T18:53:40+00:00 | [] | [
"en"
] | TAGS
#language-English #region-us
|
# Dataset Card for "SumPubmed"
## Original Dataset Description
- Repository: URL
- Paper:
## Description of dataset processing
5 rows were dropped from the original dataset taken from KAGGLE as they were missing the respective 'shorter_abstract' entries.
The 'line_text' and 'filename_text' columns were left unto... | [
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979af3bcd84565e3f47b9eca752d8ec112824953 |
# Data source
This data has been collected through a standard scraping process from the [Medium website](https://medium.com/), looking for published articles.
# Data description
Each row in the data is a different article published on Medium. For each article, you have the following features:
- **title** *[string]*: ... | fabiochiu/medium-articles | [
"license:mit",
"region:us"
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#license-mit #region-us
|
# Data source
This data has been collected through a standard scraping process from the Medium website, looking for published articles.
# Data description
Each row in the data is a different article published on Medium. For each article, you have the following features:
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-... | [
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716b0ac78c49c4bfb32b449dbd394397fc0f0d69 | This dataset is based on the dataset originally posted in [Kaggle](https://www.kaggle.com/datasets/fredericods/ptbr-sentiment-analysis-datasets?resource=download) | jvanz/portuguese_sentiment_analysis | [
"region:us"
] | 2022-07-16T17:27:31+00:00 | {} | 2022-09-05T19:23:58+00:00 | [] | [] | TAGS
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1ee9d2501a656d9e59c31f9620e979d3669bb2c0 |
# esCorpius Multilingual
In the recent years, Transformer-based models have lead to significant advances in language modelling for natural language processing. However, they require a vast amount of data to be (pre-)trained and there is a lack of corpora in languages other than English. Recently, several initiatives ... | LHF/escorpius-m | [
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"language:cs",... | 2022-07-16T17:37:38+00:00 | {"language": ["af", "ar", "bn", "ca", "cs", "da", "de", "el", "eu", "fa", "fi", "fr", "gl", "hi", "hr", "it", "ja", "ko", "mt", "nl", false, "oc", "pa", "pl", "pt", "ro", "sl", "sr", "sv", "tr", "uk", "ur"], "license": "cc-by-nc-nd-4.0", "multilinguality": ["multilingual"], "size_categories": ["100B<n<1T"], "source_dat... | 2023-05-11T21:28:28+00:00 | [
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# esCorpius Multilingual
In the recent years, Transformer-based models have lead to significant advances in language modelling for natural language processing. However, they require a vast amount of data to be (pre-)trained and there is a lack of corpora in languages other than English. Recently, several initiatives ... | [
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e96ea6ddaa0e40b764b322ca4ed15981343fbfce | [Needs More Information]
# Dataset Card for Old Bailey Proceedings
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instanc... | biglam/old_bailey_proceedings | [
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"m... | 2022-07-16T19:14:17+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated", "machine-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification", "text-generation"]... | 2024-01-08T15:39:17+00:00 | [] | [
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# Dataset Card for Old Bailey Proceedings
## 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
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ef520080129df6ec7fda0df347b5f7eacdf0dc1c | For test purposes!
Preprocessed version of https://www.kaggle.com/datasets/paramaggarwal/fashion-product-images-dataset
Images resized to have max 512 | ceyda/fashion-products-small | [
"region:us"
] | 2022-07-16T20:04:41+00:00 | {} | 2022-07-21T07:24:03+00:00 | [] | [] | TAGS
#region-us
| For test purposes!
Preprocessed version of URL
Images resized to have max 512 | [] | [
"TAGS\n#region-us \n"
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6e98d95ddee00d17778472d8e3ad7da227168901 |
# Dataset Card for Large Logo Dataset (LLD)
## Description
Adapted from the original [LLD dataset](https://data.vision.ee.ethz.ch/sagea/lld/). Original description:
> Designing a logo for a new brand is a lengthy and tedious back-and-forth process between a designer and a client. In this paper we explore to what ex... | diwank/lld | [
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"region:us"
] | 2022-07-17T06:33:12+00:00 | {"language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "pretty_name": "Large Logo Dataset"} | 2022-08-09T09:48:34+00:00 | [] | [
"en"
] | TAGS
#multilinguality-monolingual #size_categories-100K<n<1M #language-English #license-mit #region-us
|
# Dataset Card for Large Logo Dataset (LLD)
## Description
Adapted from the original LLD dataset. Original description:
> Designing a logo for a new brand is a lengthy and tedious back-and-forth process between a designer and a client. In this paper we explore to what extent machine learning can solve the creative ... | [
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