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3a590f87db94258c732e8d8ce68d188697818991 |
This dataset is comprised of ECMWF ERA5-Land data covering 2014 to October 2022. This data is on a 0.1 degree grid and has fewer variables than the standard ERA5-reanalysis, but at a higher resolution. All the data has been downloaded as NetCDF files from the Copernicus Data Store and converted to Zarr using Xarray, t... | openclimatefix/era5-land | [
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#license-mit #region-us
|
This dataset is comprised of ECMWF ERA5-Land data covering 2014 to October 2022. This data is on a 0.1 degree grid and has fewer variables than the standard ERA5-reanalysis, but at a higher resolution. All the data has been downloaded as NetCDF files from the Copernicus Data Store and converted to Zarr using Xarray, t... | [] | [
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36582224499cc4c4c364ddec6d5de46839e1c451 |
# Dataset Card for National Library of Scotland Chapbook Illustrations
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languag... | biglam/nls_chapbook_illustrations | [
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| Dataset Card for National Library of Scotland Chapbook Illustrations
====================================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Inst... | [
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7b56660696f0df6adba35ef2d89e7bd549a2b409 |
一个包含六种基本情绪（愤怒、恐惧、喜悦、爱、悲伤和惊讶）的英文Twitter消息数据集
Github 链接 https://github.com/dair-ai/emotion_dataset
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Github 链接 URL
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0bafa7af1ec5ff70f682f40196ebc18708f8d27f | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/minilm-uncased-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new eval... | autoevaluate/autoeval-staging-eval-project-squad_v2-2eb94bfa-11695556 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/minilm-uncased-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's au... | [
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0012c270d0bd91ea80c924aa6dfdf9358394daa2 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/tinyroberta-6l-768d
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
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* Dataset: squad_v2
* Config: squad_v2
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To run new evaluation jobs, visit Hugging Face's auto... | [
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446bb59eac4bc07d261513dd87c75cc14d00df1b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's ... | [
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4eda02d5543e62650c00f8abd5b0cc1335b03088 | The Climate Change MRC dataset, also known as CCMRC, is a part of the work "Climate Bot: A Machine Reading Comprehension System for Climate Change Question Answering", accepted at IJCAI-ECAI 2022. The paper was accepted in the special system demo track "AI for Good".
If you use the dataset, cite the following paper:
`... | rony/climate-change-MRC | [
"license:mit",
"region:us"
] | 2022-07-24T10:22:03+00:00 | {"license": "mit"} | 2022-07-25T05:14:09+00:00 | [] | [] | TAGS
#license-mit #region-us
| The Climate Change MRC dataset, also known as CCMRC, is a part of the work "Climate Bot: A Machine Reading Comprehension System for Climate Change Question Answering", accepted at IJCAI-ECAI 2022. The paper was accepted in the special system demo track "AI for Good".
If you use the dataset, cite the following paper:
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796cb315ae0a504ac1b731a93216e019c2cd59a1 |
# Dataset Card for Shadertoys
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-struct... | Vipitis/Shadertoys | [
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|
# Dataset Card for Shadertoys
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Source Data
- Licensing Information
## Dataset Description
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3beff0e67d14889b60f313701a936360828e1283 |
This repository contains a slightly modified version of https://github.com/lang-uk/ukrainian-word-stress-dictionary to be used in Text-to-Speech project based on Tacoctron 2 | Yehor/uk-stresses | [
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47e32b8a853777f36903af82a1008f5d3f230d2a | -kowiki202206 1줄 말뭉치
| bongsoo/kowiki20220620 | [
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8e5abafb2af8f768229735214b911e7aa9c7603b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-large-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new e... | autoevaluate/autoeval-staging-eval-project-squad_v2-fdec2e9c-11705559 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T06:24:04+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/xlm-roberta-large-squad2", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "c... | 2022-07-25T06:29:26+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-large-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's... | [
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a6036b2dcc7768e2940fcab790fd0a42fa5a387d | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-large-squad2
* Dataset: squad_v2
* Config: squad_v2
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To run new evalu... | autoevaluate/autoeval-staging-eval-project-squad_v2-8b8e12f7-11715560 | [
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"region:us"
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| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
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* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's aut... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-large-squad2\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: ... |
eee0a8ef4396cb4882284ec2fda1d0ccfd8d5550 | # 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: Shanny/bert-finetuned-squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluat... | autoevaluate/autoeval-staging-eval-project-squad-810261fd-11725561 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T08:33:54+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "Shanny/bert-finetuned-squad", "metrics": ["accuracy"], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "... | 2022-07-25T08:36:36+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: Question Answering
* Model: Shanny/bert-finetuned-squad
* Dataset: squad
* Config: plain_text
* Split: validation
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: Question Answering\n* Model: Shanny/bert-finetuned-squad\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jobs, visit Huggi... | [
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1439a395520ae8c2068bad1e1b07b8d5f052b9be | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/deberta-v3-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new eva... | autoevaluate/autoeval-staging-eval-project-squad_v2-ebf1ec50-11735562 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T10:33:05+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/deberta-v3-base-squad2", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "con... | 2022-07-25T10:37:39+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: Question Answering
* Model: deepset/deberta-v3-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's a... | [
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09d0cf6b8b8cf1c47c25270219270ee5b2207921 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/tinyroberta-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluat... | autoevaluate/autoeval-staging-eval-project-squad_v2-e85023ec-11745564 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T10:37:45+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/tinyroberta-squad2", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "context... | 2022-07-25T10:40:25+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/tinyroberta-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's autom... | [
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55b56822e4f31bfb149e822c0004ad25ad90fb94 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-large-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evalu... | autoevaluate/autoeval-staging-eval-project-squad_v2-e85023ec-11745565 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T10:37:49+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/roberta-large-squad2", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "conte... | 2022-07-25T10:42:15+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-large-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's aut... | [
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15a9bdb8362664a48997e28994c2baf46eaa71f2 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/deberta-v3-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new eva... | autoevaluate/autoeval-staging-eval-project-squad_v2-e85023ec-11745563 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T10:38:34+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/deberta-v3-base-squad2", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "con... | 2022-07-25T10:47:52+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/deberta-v3-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's a... | [
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87c34d7017c665a0bb76b416bcfb62bfe17a2ae6 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-large-uncased-whole-word-masking-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: vali... | autoevaluate/autoeval-staging-eval-project-squad_v2-26568076-11755566 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-large-uncased-whole-word-masking-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, ... | [
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de7be88799fc7659e1e51edbcf4a85f37d249e05 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/deberta-v3-large-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new ev... | autoevaluate/autoeval-staging-eval-project-squad_v2-df3d9ae8-11765567 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T11:05:23+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/deberta-v3-large-squad2", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "co... | 2022-07-25T11:13:39+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: Question Answering
* Model: deepset/deberta-v3-large-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's ... | [
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9d347362dc8663670ef1512728cdaccf282ef29b | # 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: AJGP/bert-finetuned-ner
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new evaluation j... | autoevaluate/autoeval-staging-eval-project-conll2003-2dc2f6d8-11805572 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T13:25:58+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["conll2003"], "eval_info": {"task": "entity_extraction", "model": "AJGP/bert-finetuned-ner", "metrics": [], "dataset_name": "conll2003", "dataset_config": "conll2003", "dataset_split": "test", "col_mapping": {"tokens": "tokens", "tags": "ner_tags... | 2022-07-25T13:27:10+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: Token Classification
* Model: AJGP/bert-finetuned-ner
* Dataset: conll2003
* Config: conll2003
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic ... | [
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249e666291cd556d0c0c7967ee3cb6967d77b56c |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | hdamghanian/Stock-QA-fa | [
"license:mit",
"region:us"
] | 2022-07-25T14:06:08+00:00 | {"license": "mit"} | 2022-07-25T14:16:43+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- P... | [
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3038d9967602ee1ba85340246bcd49bb52fd3bef |
# Dataset Card for reddit-r-bitcoin-data-for-jun-2022
## 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 Ins... | SocialGrep/reddit-r-bitcoin-data-for-jun-2022 | [
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"license:cc-by-4.0",
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|
# Dataset Card for reddit-r-bitcoin-data-for-jun-2022
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- P... | [
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"passage: TAGS\n#annotations_creators-lexyr #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-4.0 #region-us \n# Dataset Card for reddit-r-bitcoin-data-for-jun-2022## Table of Contents\n- Dataset Description\n - Datase... |
24f194c5b6ef29eb784ea3508a022ba848beeea4 |
Kbd latin script: 835k lines from a scraped pile
ru: 3M lines from Wiki (OPUS) | anzorq/kbd_lat-835k_ru-3M | [
"license:unknown",
"region:us"
] | 2022-07-25T17:37:51+00:00 | {"license": "unknown"} | 2022-07-25T22:26:41+00:00 | [] | [] | TAGS
#license-unknown #region-us
|
Kbd latin script: 835k lines from a scraped pile
ru: 3M lines from Wiki (OPUS) | [] | [
"TAGS\n#license-unknown #region-us \n"
] | [
13
] | [
"passage: TAGS\n#license-unknown #region-us \n"
] |
71d820d52a2662dd708036a15374bbbd68ff57b9 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/deberta-v3-large-squad2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To... | autoevaluate/autoeval-staging-eval-project-adversarial_qa-58460439-11825575 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T21:30:32+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/deberta-v3-large-squad2", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation", "col_mapping"... | 2022-07-25T21:33:19+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/deberta-v3-large-squad2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, visit Hugg... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/deberta-v3-large-squad2\n* Dataset: adversarial_qa\n* Config: adversarialQA\n* Split: validation\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: Question Answering\n* Model: deepset/deberta-v3-large-squad2\n* Dataset: adversarial_qa\n* Config: adversarialQA... | [
13,
95,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/deberta-v3-large-squad2\n* Dataset: adversarial_qa\n* Config: adversaria... |
e53695a23047a407d2999206a03fc82701148a78 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-large-uncased-whole-word-masking-squad2
* Dataset: adversarial_qa
* Config: adversarialQA
* ... | autoevaluate/autoeval-staging-eval-project-adversarial_qa-58460439-11825576 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T21:30:35+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/bert-large-uncased-whole-word-masking-squad2", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "valid... | 2022-07-25T21:32:36+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: Question Answering
* Model: deepset/bert-large-uncased-whole-word-masking-squad2
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
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: Question Answering\n* Model: deepset/bert-large-uncased-whole-word-masking-squad2\n* Dataset: adversarial_qa\n* Config: adversarialQA\n* Split: validation\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: Question Answering\n* Model: deepset/bert-large-uncased-whole-word-masking-squad2\n* Dataset: adversarial_qa\n* ... | [
13,
103,
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] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-large-uncased-whole-word-masking-squad2\n* Dataset: adversarial_qa\... |
2803c28d2003a2afff2a01b409ff7cd42fb0fb17 | # 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: mbartolo/electra-large-synqa
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To ru... | autoevaluate/autoeval-staging-eval-project-adversarial_qa-58460439-11825574 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T21:32:16+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "mbartolo/electra-large-synqa", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation", "col_mapping": {... | 2022-07-25T21:39:49+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: Question Answering
* Model: mbartolo/electra-large-synqa
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, visit Hugging... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mbartolo/electra-large-synqa\n* Dataset: adversarial_qa\n* Config: adversarialQA\n* Split: validation\n\nTo run new evaluation jobs... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mbartolo/electra-large-synqa\n* Dataset: adversarial_qa\n* Config: adversarialQA\n*... | [
13,
92,
15
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mbartolo/electra-large-synqa\n* Dataset: adversarial_qa\n* Config: adversarialQA... |
4deeac719a3ff3df9b5866646f38a35bc45e3c0b | # 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: mbartolo/roberta-large-synqa
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evalua... | autoevaluate/autoeval-staging-eval-project-squad-95d5e1fd-11835577 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T21:34:47+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "mbartolo/roberta-large-synqa", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "context",... | 2022-07-25T21:38:58+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: mbartolo/roberta-large-synqa
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's auto... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mbartolo/roberta-large-synqa\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jobs, visit Hugg... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mbartolo/roberta-large-synqa\n* Dataset: squad\n* Config: plain_text\n* Split: vali... | [
13,
90,
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mbartolo/roberta-large-synqa\n* Dataset: squad\n* Config: plain_text\n* Split: v... |
34c8374562d8b0e8846c1b926bbe84f4aef4dca5 | # 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: mbartolo/electra-large-synqa
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evalua... | autoevaluate/autoeval-staging-eval-project-squad-95d5e1fd-11835578 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T21:34:52+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "mbartolo/electra-large-synqa", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "context",... | 2022-07-25T21:39:01+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: mbartolo/electra-large-synqa
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's auto... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mbartolo/electra-large-synqa\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jobs, visit Hugg... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mbartolo/electra-large-synqa\n* Dataset: squad\n* Config: plain_text\n* Split: vali... | [
13,
90,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mbartolo/electra-large-synqa\n* Dataset: squad\n* Config: plain_text\n* Split: v... |
f329c4e36fa98c42ab3d616e01018048364d47e2 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-large-squad2
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evalua... | autoevaluate/autoeval-staging-eval-project-squad-95d5e1fd-11835579 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T21:34:58+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/roberta-large-squad2", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "context",... | 2022-07-25T21:39:01+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/roberta-large-squad2
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's auto... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-large-squad2\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jobs, visit Hugg... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-large-squad2\n* Dataset: squad\n* Config: plain_text\n* Split: vali... | [
13,
90,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/roberta-large-squad2\n* Dataset: squad\n* Config: plain_text\n* Split: v... |
29dd17d42866336178ac700cbb45bce287a38a34 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/deberta-v3-base-squad2
* Dataset: squad
* Config: plain_text
* Split: validation
To run new eval... | autoevaluate/autoeval-staging-eval-project-squad-95d5e1fd-11835580 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T21:35:07+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/deberta-v3-base-squad2", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "context... | 2022-07-25T21:39:44+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/deberta-v3-base-squad2
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's au... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/deberta-v3-base-squad2\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jobs, visit Hu... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/deberta-v3-base-squad2\n* Dataset: squad\n* Config: plain_text\n* Split: va... | [
13,
92,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/deberta-v3-base-squad2\n* Dataset: squad\n* Config: plain_text\n* Split:... |
cdfeb9020eb204c2b5b4e28ac3ef7b18a658cb76 | # 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: mbartolo/roberta-large-synqa-ext
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
T... | autoevaluate/autoeval-staging-eval-project-adversarial_qa-8ac5f360-11845582 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T22:18:54+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "mbartolo/roberta-large-synqa-ext", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation", "col_mapping... | 2022-07-25T22:20:32+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: mbartolo/roberta-large-synqa-ext
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, visit Hug... | [
"# 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: mbartolo/roberta-large-synqa-ext\n* Dataset: adversarial_qa\n* Config: adversarialQA\n* Split: validation\n\nTo run new evaluation ... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mbartolo/roberta-large-synqa-ext\n* Dataset: adversarial_qa\n* Config: adversarialQ... | [
13,
95,
15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mbartolo/roberta-large-synqa-ext\n* Dataset: adversarial_qa\n* Config: adversari... |
8082af326609adb4497e5770cb5c05824349d0ef | # 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: mbartolo/roberta-large-synqa
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To ru... | autoevaluate/autoeval-staging-eval-project-adversarial_qa-8ac5f360-11845581 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-25T22:20:02+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["adversarial_qa"], "eval_info": {"task": "extractive_question_answering", "model": "mbartolo/roberta-large-synqa", "metrics": [], "dataset_name": "adversarial_qa", "dataset_config": "adversarialQA", "dataset_split": "validation", "col_mapping": {... | 2022-07-25T22:26:00+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: mbartolo/roberta-large-synqa
* Dataset: adversarial_qa
* Config: adversarialQA
* Split: validation
To run new evaluation jobs, visit Hugging... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mbartolo/roberta-large-synqa\n* Dataset: adversarial_qa\n* Config: adversarialQA\n* Split: validation\n\nTo run new evaluation jobs... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mbartolo/roberta-large-synqa\n* Dataset: adversarial_qa\n* Config: adversarialQA\n*... | [
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15
] | [
"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: mbartolo/roberta-large-synqa\n* Dataset: adversarial_qa\n* Config: adversarialQA... |
dc842ba21530077e2385514585f385e671eb9f32 |
# Snares
FSD50K subset of just snares.
```
wget -nc https://huggingface.co/datasets/nateraw/snares/resolve/main/snares.csv
wget -nc https://huggingface.co/datasets/nateraw/snares/resolve/main/snares.zip
unzip snares.zip
```
If you unpack as described above, `snares.csv` will have correct filepath to audio file whe... | nateraw/snares | [
"language:en",
"license:other",
"region:us"
] | 2022-07-26T00:38:47+00:00 | {"language": "en", "license": "other"} | 2022-07-26T00:48:47+00:00 | [] | [
"en"
] | TAGS
#language-English #license-other #region-us
|
# Snares
FSD50K subset of just snares.
If you unpack as described above, 'URL' will have correct filepath to audio file when loaded in as CSV. Here we show with pandas...
| [
"# Snares \n\nFSD50K subset of just snares.\n\n\n\nIf you unpack as described above, 'URL' will have correct filepath to audio file when loaded in as CSV. Here we show with pandas..."
] | [
"TAGS\n#language-English #license-other #region-us \n",
"# Snares \n\nFSD50K subset of just snares.\n\n\n\nIf you unpack as described above, 'URL' will have correct filepath to audio file when loaded in as CSV. Here we show with pandas..."
] | [
15,
49
] | [
"passage: TAGS\n#language-English #license-other #region-us \n# Snares \n\nFSD50K subset of just snares.\n\n\n\nIf you unpack as described above, 'URL' will have correct filepath to audio file when loaded in as CSV. Here we show with pandas..."
] |
cdeb4ea38252c283f5717b007ae8f8d5c5d3c73f | annotations_creators:
- no-annotation
language:
- en
- fa
language_creators:
- crowdsourced
license:
- other
multilinguality:
- multilingual
pretty_name: en-fa-translation
size_categories:
- 1M<n<10M
source_datasets:
- original
tags: []
task_categories:
- translation
task_ids: [] | Kamrani/en-fa-translation | [
"region:us"
] | 2022-07-26T02:10:34+00:00 | {} | 2022-07-30T03:13:38+00:00 | [] | [] | TAGS
#region-us
| annotations_creators:
- no-annotation
language:
- en
- fa
language_creators:
- crowdsourced
license:
- other
multilinguality:
- multilingual
pretty_name: en-fa-translation
size_categories:
- 1M<n<10M
source_datasets:
- original
tags: []
task_categories:
- translation
task_ids: [] | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
e16e967d01e8a5e796eef1ec263c83b2c3f3fac3 |
The prompts used in the Simulacra discord bot and [released](https://github.com/JD-P/simulacra-aesthetic-captions)
Thanks to deltawave on discord for supplying this dataset! | BirdL/SimulaPrompts | [
"license:cc0-1.0",
"region:us"
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#license-cc0-1.0 #region-us
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The prompts used in the Simulacra discord bot and released
Thanks to deltawave on discord for supplying this dataset! | [] | [
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8078e27c5ff4c52d5b85572ed45d36c712a3c423 |
# Dataset Card for WMT19 Metrics Task
## 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](#datase... | muibk/wmt19_metrics_task | [
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"size_categories:100K<n<1M",
"license:unknown",
"region:us"
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|
# Dataset Card for WMT19 Metrics Task
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
... | [
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53514cd2b8c3bccdde0a61348e5ef76d3a6748a6 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/electra-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evalua... | autoevaluate/autoeval-staging-eval-project-squad_v2-e06b4410-11855583 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-26T07:17:36+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/electra-base-squad2", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "contex... | 2022-07-26T07:20:48+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: Question Answering
* Model: deepset/electra-base-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's auto... | [
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696f9a3028e982a43e69283dab450a4be0e0f72e | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/tinybert-6l-768d-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new ev... | autoevaluate/autoeval-staging-eval-project-squad_v2-e06b4410-11855584 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-26T07:17:41+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/tinybert-6l-768d-squad2", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "co... | 2022-07-26T07:20:20+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: Question Answering
* Model: deepset/tinybert-6l-768d-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's ... | [
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55b89a23287e3762d16ad2ed49412c4dbb00d49a | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-base-uncased-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new e... | autoevaluate/autoeval-staging-eval-project-squad_v2-e06b4410-11855585 | [
"autotrain",
"evaluation",
"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-base-uncased-squad2
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face's... | [
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e5c897042bb83fe95d7f687c51d48ed06f2b55a2 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-medium-squad2-distilled
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run n... | autoevaluate/autoeval-staging-eval-project-squad_v2-e06b4410-11855586 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-26T07:17:51+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/bert-medium-squad2-distilled", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context"... | 2022-07-26T07:20:27+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/bert-medium-squad2-distilled
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Fa... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-medium-squad2-distilled\n* Dataset: squad_v2\n* Config: squad_v2\n* Split: validation\n\nTo run new evaluation jobs, v... | [
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"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: deepset/bert-medium-squad2-distilled\n* Dataset: squad_v2\n* Config: squad_v2\n* Sp... | [
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425e4ccec0605e663e762c5a088dcc5c6884329b | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-base-squad2-distilled
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To ... | autoevaluate/autoeval-staging-eval-project-squad_v2-e06b4410-11855587 | [
"autotrain",
"evaluation",
"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/xlm-roberta-base-squad2-distilled
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Huggi... | [
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0d81b9869910b53d9fac2bddf8d3e2eb2afe8a50 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/gelectra-base-germanquad
* Dataset: deepset/germanquad
* Config: plain_text
* Split: test
To run... | autoevaluate/autoeval-staging-eval-project-deepset__germanquad-7176bd7d-11875589 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-26T13:38:50+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["deepset/germanquad"], "eval_info": {"task": "extractive_question_answering", "model": "deepset/gelectra-base-germanquad", "metrics": [], "dataset_name": "deepset/germanquad", "dataset_config": "plain_text", "dataset_split": "test", "col_mapping"... | 2022-07-26T13:40:30+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/gelectra-base-germanquad
* Dataset: deepset/germanquad
* Config: plain_text
* Split: test
To run new evaluation jobs, visit Hugging ... | [
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0b848ff3c9d5c4d515e9fea94415453bc756d489 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: deepset/gelectra-large-germanquad
* Dataset: deepset/germanquad
* Config: plain_text
* Split: test
To ru... | autoevaluate/autoeval-staging-eval-project-deepset__germanquad-7176bd7d-11875590 | [
"autotrain",
"evaluation",
"region:us"
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: deepset/gelectra-large-germanquad
* Dataset: deepset/germanquad
* Config: plain_text
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To run new evaluation jobs, visit Hugging... | [
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8dc1bdb0cbe71fea85bb3a4f14c2c1b57c61d88f |
# Dataset Card for Imagewoof
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structu... | frgfm/imagewoof | [
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| Dataset Card for Imagewoof
==========================
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
+ Sour... | [
"### Dataset Summary\n\n\nA smaller subset of 10 classes from Imagenet that aren't so easy to classify, since they're all dog breeds.\nThis dataset was created by Jeremy Howard, and this repository is only there to share his work on this platform. The repository owner takes no credit of any kind in the creation, cu... | [
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a0d9ca0b1c481c4e8b2100bb6eb0457559e3f508 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Question Answering
* Model: Graphcore/roberta-base-squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evalua... | autoevaluate/autoeval-staging-eval-project-squad-47db8743-11885591 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-26T15:36:22+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad"], "eval_info": {"task": "extractive_question_answering", "model": "Graphcore/roberta-base-squad", "metrics": [], "dataset_name": "squad", "dataset_config": "plain_text", "dataset_split": "validation", "col_mapping": {"context": "context",... | 2022-07-26T15:38:56+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: Question Answering
* Model: Graphcore/roberta-base-squad
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's auto... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: Graphcore/roberta-base-squad\n* Dataset: squad\n* Config: plain_text\n* Split: validation\n\nTo run new evaluation jobs, visit Hugg... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: Graphcore/roberta-base-squad\n* Dataset: squad\n* Config: plain_text\n* Split: vali... | [
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"passage: TAGS\n#autotrain #evaluation #region-us \n# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Question Answering\n* Model: Graphcore/roberta-base-squad\n* Dataset: squad\n* Config: plain_text\n* Split: v... |
2eb12757b146d9c1fbfda4e8f8d4a10c520de326 | # 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: sshleifer/distilbart-cnn-12-6
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jo... | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-8f63e3f3-11895592 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-26T16:58:47+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "sshleifer/distilbart-cnn-12-6", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"text": "article", "target": "h... | 2022-07-26T17:52:05+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: sshleifer/distilbart-cnn-12-6
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic m... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: sshleifer/distilbart-cnn-12-6\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Fac... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: sshleifer/distilbart-cnn-12-6\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\... | [
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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: sshleifer/distilbart-cnn-12-6\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: te... |
9acbc0b433d326333ebec9838d2cfd3dd96e4a6c | # 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: philschmid/distilbart-cnn-12-6-samsum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evalu... | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-8f63e3f3-11895594 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-26T16:59:53+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "philschmid/distilbart-cnn-12-6-samsum", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"text": "article", "tar... | 2022-07-26T17:47:15+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: philschmid/distilbart-cnn-12-6-samsum
* Dataset: cnn_dailymail
* Config: 3.0.0
* 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: Summarization\n* Model: philschmid/distilbart-cnn-12-6-samsum\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\nTo run new evaluation jobs, visit Hug... | [
"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: philschmid/distilbart-cnn-12-6-samsum\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Spli... | [
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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: philschmid/distilbart-cnn-12-6-samsum\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* S... |
09f0a5fb1b4b7bb1b18dac3c50ceeeaae00969fe | # 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: sshleifer/distilbart-cnn-6-6
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation job... | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-8f63e3f3-11895593 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-26T17:01:21+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "sshleifer/distilbart-cnn-6-6", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"text": "article", "target": "hi... | 2022-07-26T17:34:27+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: sshleifer/distilbart-cnn-6-6
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic mo... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: sshleifer/distilbart-cnn-6-6\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\nTo run new evaluation jobs, visit Hugging Face... | [
"TAGS\n#autotrain #evaluation #region-us \n",
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: sshleifer/distilbart-cnn-6-6\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\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: sshleifer/distilbart-cnn-6-6\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: tes... |
a890935d5bd754ddc5b85f56b6f34f6d2bb4abba |
# Dataset Card for Berlin State Library OCR data
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structu... | biglam/berlin_state_library_ocr | [
"task_categories:fill-mask",
"task_categories:text-generation",
"task_ids:masked-language-modeling",
"task_ids:language-modeling",
"annotations_creators:machine-generated",
"language_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:1M<n<10M",
"language:de",
"language:nl... | 2022-07-26T18:40:02+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["expert-generated"], "language": ["de", "nl", "en", "fr", "es"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1M<n<10M"], "source_datasets": [], "task_categories": ["fill-mask", "text-generation"], "task_ids": [... | 2022-08-05T08:36:24+00:00 | [] | [
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#task_categories-fill-mask #task_categories-text-generation #task_ids-masked-language-modeling #task_ids-language-modeling #annotations_creators-machine-generated #language_creators-expert-generated #multilinguality-multilingual #size_categories-1M<n<10M #language-German #language-Dutch #language-English #language... | Dataset Card for Berlin State Library OCR data
==============================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Datase... | [
"### Dataset Summary\n\n\n\n> \n> The digital collections of the SBB contain 153,942 digitized works from the time period of 1470 to 1945.\n> \n> \n> \n\n\n\n> \n> At the time of publication, 28,909 works have been OCR-processed resulting in 4,988,099 full-text pages.\n> For each page with OCR text, the language ha... | [
"TAGS\n#task_categories-fill-mask #task_categories-text-generation #task_ids-masked-language-modeling #task_ids-language-modeling #annotations_creators-machine-generated #language_creators-expert-generated #multilinguality-multilingual #size_categories-1M<n<10M #language-German #language-Dutch #language-English #la... | [
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88b10b40e3197c83f2995771e057515f584ecd27 |
# Dataset Card for the Qur'anic Reading Comprehension Dataset (QRCD)
## 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... | tarteel-ai/quranqa | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:n<1K",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:ar",
"license:cc-by-nd-4.0",
"qu... | 2022-07-26T19:05:10+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["ar"], "license": ["cc-by-nd-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K", "1K<n<10K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"... | 2022-07-27T01:28:31+00:00 | [] | [
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#task_categories-question-answering #task_ids-extractive-qa #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-n<1K #size_categories-1K<n<10K #source_datasets-original #language-Arabic #license-cc-by-nd-4.0 #quran #qa #region-us
| Dataset Card for the Qur'anic Reading Comprehension Dataset (QRCD)
==================================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instance... | [
"### Dataset Summary\n\n\nThe QRCD (Qur'anic Reading Comprehension Dataset) is composed of 1,093 tuples of question-passage pairs that are\ncoupled with their extracted answers to constitute 1,337 question-passage-answer triplets.",
"### Supported Tasks and Leaderboards\n\n\nThis task is evaluated as a ranking ta... | [
"TAGS\n#task_categories-question-answering #task_ids-extractive-qa #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-n<1K #size_categories-1K<n<10K #source_datasets-original #language-Arabic #license-cc-by-nd-4.0 #quran #qa #region-us \n",
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e7d4f3001b1c33740f10caa51c61cd4199e831e0 |
DallData is a non-exhaustive look into DALL-E Mega(1)'s unconditional image generation. This is under the [BirdL-AirL License.](https://huggingface.co/spaces/BirdL/license/)
(1)
```bibtext
@misc{Dayma_DALL·E_Mini_2021,
author = {Dayma, Boris and Patil, Suraj and Cuenca, Pedro and Saifullah, Khalid and Abraham,... | BirdL/DallData | [
"task_categories:unconditional-image-generation",
"size_categories:1K<n<10K",
"license:other",
"region:us"
] | 2022-07-26T19:48:02+00:00 | {"annotations_creators": [], "language_creators": [], "language": [], "license": ["other"], "multilinguality": [], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["unconditional-image-generation"], "task_ids": [], "pretty_name": "DALL-E Latent Space Mapping", "tags": []} | 2022-09-28T20:12:02+00:00 | [] | [] | TAGS
#task_categories-unconditional-image-generation #size_categories-1K<n<10K #license-other #region-us
|
DallData is a non-exhaustive look into DALL-E Mega(1)'s unconditional image generation. This is under the BirdL-AirL License.
(1)
| [] | [
"TAGS\n#task_categories-unconditional-image-generation #size_categories-1K<n<10K #license-other #region-us \n"
] | [
38
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"passage: TAGS\n#task_categories-unconditional-image-generation #size_categories-1K<n<10K #license-other #region-us \n"
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794edc666ccae9f296d033a99a826a3f41f34385 | # Dataset Card for Contentious Contexts Corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | biglam/contentious_contexts | [
"task_categories:text-classification",
"task_ids:sentiment-scoring",
"task_ids:multi-label-classification",
"annotations_creators:expert-generated",
"annotations_creators:crowdsourced",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets... | 2022-07-26T21:07:48+00:00 | {"annotations_creators": ["expert-generated", "crowdsourced"], "language_creators": ["machine-generated"], "language": ["nl"], "license": ["cc-by-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentime... | 2022-08-01T16:02:11+00:00 | [] | [
"nl"
] | TAGS
#task_categories-text-classification #task_ids-sentiment-scoring #task_ids-multi-label-classification #annotations_creators-expert-generated #annotations_creators-crowdsourced #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Dutch #lice... | Dataset Card for Contentious Contexts Corpus
============================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Sourc... | [
"### Dataset Summary\n\n\nThis dataset contains extracts from historical Dutch newspapers containing keywords of potentially contentious words (according to present-day sensibilities). The dataset contains multiple annotations per instance, given the option to quantify agreement scores for annotations. This dataset... | [
"TAGS\n#task_categories-text-classification #task_ids-sentiment-scoring #task_ids-multi-label-classification #annotations_creators-expert-generated #annotations_creators-crowdsourced #language_creators-machine-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Dutch... | [
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cde011e595294d34ae7c648fcf788b153e762256 | # 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-WIP9
* Dataset: kmfoda/booksum
* Config: kmfoda--booksu... | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-9ce97676-11915596 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-27T00:53:03+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP9", "metrics": [], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col_... | 2022-07-28T04:35:44+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP9
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluati... | [
"# 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-WIP9\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo r... | [
"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-WIP9\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-WIP9\n* Dataset: kmfoda/booksu... |
9ed5cb6a383d487c045f685388b32a12a5ad17c6 | # 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-WIP9
* Dataset: kmfoda/booksum
* Config: kmfoda--booksu... | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-3fbf83bf-11925597 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-27T00:57:53+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP9", "metrics": [], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "col_... | 2022-07-28T04:57:02+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP9
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evaluati... | [
"# 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-WIP9\n* Dataset: kmfoda/booksum\n* Config: kmfoda--booksum\n* Split: test\n\nTo r... | [
"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-WIP9\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-WIP9\n* Dataset: kmfoda/booksu... |
0342260156e61cc56a6f59314d0d5b036b985a39 | # 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: billsum
* Config: default
* Split: test
To run new evaluation jobs,... | autoevaluate/autoeval-staging-eval-project-billsum-18299d18-11955600 | [
"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/led-base-book-summary
* Dataset: billsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic mode... | [
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3ab156a12e3f1fecc0271712a0709c4ff979715f | # 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: billsum
* Config: default
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To run ne... | autoevaluate/autoeval-staging-eval-project-billsum-a6bd4aa5-11965601 | [
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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: billsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Fac... | [
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eae636f52231308429ea7b022850ba84f4cfd02b | # 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: nlpconnect/roberta-base-squad2-nq
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new ... | autoevaluate/autoeval-staging-eval-project-squad_v2-96a02c9c-11975602 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-27T09:24:18+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["squad_v2"], "eval_info": {"task": "extractive_question_answering", "model": "nlpconnect/roberta-base-squad2-nq", "metrics": [], "dataset_name": "squad_v2", "dataset_config": "squad_v2", "dataset_split": "validation", "col_mapping": {"context": "... | 2022-07-27T09:27:23+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: nlpconnect/roberta-base-squad2-nq
* Dataset: squad_v2
* Config: squad_v2
* Split: validation
To run new evaluation jobs, visit Hugging Face'... | [
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201d9a9e3d04b1bc66894808a1699731e3d45c0b | # 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: nlpconnect/roberta-base-squad2-nq
* Dataset: squad
* Config: plain_text
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To run new e... | autoevaluate/autoeval-staging-eval-project-squad-ef91144d-11985603 | [
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#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Question Answering
* Model: nlpconnect/roberta-base-squad2-nq
* Dataset: squad
* Config: plain_text
* Split: validation
To run new evaluation jobs, visit Hugging Face's... | [
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e24270fa1657929a060d81dc258fee812b3905f6 |
# Dataset Card for bc2gm_corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instance... | chintagunta85/bc2gm_test | [
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# Dataset Card for bc2gm_corpus
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
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- Personal and Sensitive ... | [
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f105b9d763743e20d2f3b8e33f73055ad414e7c5 |
# Dataset Card for Legal Advice Reddit Dataset
## Dataset Description
- **Paper: [Parameter-Efficient Legal Domain Adaptation](https://aclanthology.org/2022.nllp-1.10/)**
- **Point of Contact: jxl@queensu.ca**
### Dataset Summary
New dataset introduced in [Parameter-Efficient Legal Domain Adaptation](https://acl... | jonathanli/legal-advice-reddit | [
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"reddit",
"law",
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] | 2022-07-27T19:19:25+00:00 | {"language": ["en"], "pretty_name": "Legal Advice Reddit", "tags": ["reddit", "law"]} | 2023-02-23T16:39:28+00:00 | [] | [
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] | TAGS
#language-English #reddit #law #region-us
|
# Dataset Card for Legal Advice Reddit Dataset
## Dataset Description
- Paper: Parameter-Efficient Legal Domain Adaptation
- Point of Contact: jxl@URL
### Dataset Summary
New dataset introduced in Parameter-Efficient Legal Domain Adaptation (Li et al., NLLP 2022) from the Legal Advice Reddit community (known as ... | [
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a125fdedddadfc82908c3000165134876eb6a090 | testing an audio dataset | benfoley/test-dataset | [
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| Slepp/train | [
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09013b8be5f523de806f9c21c548d2d6e7d92a02 |
# Dataset Card for RedCaps
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Information](#dataset-information)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation... | actdan2016/sample1 | [
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"language:en",
"license:cc-by-4.0",
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|
# Dataset Card for RedCaps
## Table of Contents
- Table of Contents
- Dataset Information
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
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40cc352405da6da57bd64ba785bd6a38ef3a4871 |
# Dataset Card for Old Book Illustrations
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#... | gigant/oldbookillustrations | [
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# Dataset Card for Old Book Illustrations
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Dataset Creation
- Curation Rationale
- Source Data
- Personal and Sensitive Information
- Considerations for Using ... | [
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2c53f4b94137892d96c3bc4272028c3354c640a7 |
# Dataset Card for news-data
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structu... | okite97/news-data | [
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"region... | 2022-07-28T08:10:22+00:00 | {"annotations_creators": ["other"], "language_creators": ["found"], "language": ["en"], "license": ["afl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["topic-classification", "multi-class-classificati... | 2022-08-25T09:36:01+00:00 | [] | [
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| Dataset Card for news-data
==========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
... | [
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"### Supported Tasks and Leaderboards\n\n\nIt supports news article classification into different categories.",
"###... | [
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5aff92f9c824061b0781a5ff1bbf1e8246de5840 |
# Dataset Summary
This dataset is enhanced version of existing offensive language studies. Existing studies are highly imbalanced, and solving this problem is too costly. To solve this, we proposed contextual data mining method for dataset augmentation. Our method is basically prevent us from retrieving random tweets... | Toygar/turkish-offensive-language-detection | [
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"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:tr",
"license:cc-by-2.0",
"offensive-language-classification",
"region:us"
] | 2022-07-28T10:45:25+00:00 | {"annotations_creators": ["crowdsourced", "expert-generated"], "language_creators": ["crowdsourced"], "language": ["tr"], "license": ["cc-by-2.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "Tu... | 2023-10-31T21:57:24+00:00 | [] | [
"tr"
] | TAGS
#task_categories-text-classification #annotations_creators-crowdsourced #annotations_creators-expert-generated #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #language-Turkish #license-cc-by-2.0 #offensive-language-classification #region-us
| Dataset Summary
===============
This dataset is enhanced version of existing offensive language studies. Existing studies are highly imbalanced, and solving this problem is too costly. To solve this, we proposed contextual data mining method for dataset augmentation. Our method is basically prevent us from retrieving... | [
"### Task and Labels\n\n\nOffensive language identification:\n\n\n* (0) Not Offensive - Tweet does not contain offense or profanity.\n* (1) Offensive - Tweet contains offensive language or a targeted (veiled or direct) offense",
"### Data Splits",
"### Paper codes\n\n\nURL\n\n\nReferences\n==========\n\n\nWe me... | [
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15ba2479192e7cf974e4e295a7d721a650c06f03 |
# Dataset Card for "sciarg"
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structur... | DFKI-SLT/sciarg | [
"task_categories:token-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:dr inventor corpus",
"language:en",
"argument mining",
"scientific text",
"relation extraction",
"arg... | 2022-07-28T12:55:00+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": [], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["dr inventor corpus"], "task_categories": ["token-classification"], "task_ids": [], "pretty_name": "SciArg... | 2022-07-28T13:04:31+00:00 | [] | [
"en"
] | TAGS
#task_categories-token-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-dr inventor corpus #language-English #argument mining #scientific text #relation extraction #argumentative discourse unit recognit... |
# Dataset Card for "sciarg"
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Persona... | [
"# Dataset Card for \"sciarg\"",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - ... | [
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0af1841a59d37a07091ea69bce12947558fa4d55 | # Emoji Predictor
Dataset consists of raw tweets as text and an emoji as the label.
original dataset: https://huggingface.co/datasets/AlekseyDorkin/extended_tweet_emojis
- Fine-tuned model: https://huggingface.co/vincentclaes/emoji-predictor
- Try the model here: https://huggingface.co/spaces/vincentclaes/emoji-predi... | vincentclaes/emoji-predictor | [
"region:us"
] | 2022-07-28T13:05:10+00:00 | {} | 2022-09-20T13:38:38+00:00 | [] | [] | TAGS
#region-us
| # Emoji Predictor
Dataset consists of raw tweets as text and an emoji as the label.
original dataset: URL
- Fine-tuned model: URL
- Try the model here: URL | [
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"passage: TAGS\n#region-us \n# Emoji Predictor\n\nDataset consists of raw tweets as text and an emoji as the label.\noriginal dataset: URL\n\n- Fine-tuned model: URL\n- Try the model here: URL"
] |
e81ff8291dc22db23b272e9a5c393d322e530891 | # 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: Blaise-g/led_finetuned_sumpubmed
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* Split: test
To... | autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-ce219d86-12025605 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-28T18:53:37+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["Blaise-g/SumPubmed"], "eval_info": {"task": "summarization", "model": "Blaise-g/led_finetuned_sumpubmed", "metrics": ["bertscore"], "dataset_name": "Blaise-g/SumPubmed", "dataset_config": "Blaise-g--SumPubmed", "dataset_split": "test", "col_mapp... | 2022-07-28T20:06:06+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: Summarization
* Model: Blaise-g/led_finetuned_sumpubmed
* Dataset: Blaise-g/SumPubmed
* Config: Blaise-g--SumPubmed
* 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: Blaise-g/led_finetuned_sumpubmed\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--SumPubmed\n* Split: test\n\nTo run new evaluation j... | [
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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: Blaise-g/led_finetuned_sumpubmed\n* Dataset: Blaise-g/SumPubmed\n* Config: Blaise-g--... |
49bca9d76447b7dbe452b2a8a4426155c28df4ba | # 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: nbroad/longt5-base-global-mediasum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluati... | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-ca1f103f-12035606 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-28T18:57:31+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "nbroad/longt5-base-global-mediasum", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": {"text": "article", "target... | 2022-07-28T19:34:23+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: nbroad/longt5-base-global-mediasum
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, visit Hugging Face's automa... | [
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7b01ec427ea3d0e879e4e26ca3cdfa5ce6526ca9 | # 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: nbroad/longt5-base-global-mediasum
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs... | autoevaluate/autoeval-staging-eval-project-xsum-20a28003-12045607 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-28T19:00:01+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["xsum"], "eval_info": {"task": "summarization", "model": "nbroad/longt5-base-global-mediasum", "metrics": [], "dataset_name": "xsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "document", "target": "summary"}}} | 2022-07-28T19:27:48+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: nbroad/longt5-base-global-mediasum
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit Hugging Face's automatic mod... | [
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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: nbroad/longt5-base-global-mediasum\n* Dataset: xsum\n* Config: default\n* Split: test... |
399ed23149edf1be91a18fd8e60e3fea25262dfc |
## Dataset Description
- **Homepage:** the [Gatherer](https://gatherer.wizards.com/Pages/)
- **Repository:** https://github.com/alcazar90/croupier-mtg-dataset
### Dataset Summary
A card images dataset of 4 types of creatures from Magic the Gathering card game: elf, goblin, knight, and zombie.
## Dataset Creation
... | alkzar90/croupier-mtg-dataset | [
"task_categories:image-classification",
"task_ids:multi-class-image-classification",
"annotations_creators:found",
"size_categories:1K<n<10K",
"source_datasets:original",
"license:apache-2.0",
"mgt",
"magic-card-game",
"creature-dataset",
"region:us"
] | 2022-07-28T20:18:49+00:00 | {"annotations_creators": ["found"], "language_creators": [], "language": [], "license": ["apache-2.0"], "multilinguality": [], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["image-classification"], "task_ids": ["multi-class-image-classification"], "pretty_name": "Croupier: a Magi... | 2022-08-02T00:41:48+00:00 | [] | [] | TAGS
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|
## Dataset Description
- Homepage: the Gatherer
- Repository: URL
### Dataset Summary
A card images dataset of 4 types of creatures from Magic the Gathering card game: elf, goblin, knight, and zombie.
## Dataset Creation
All card information from Magic the Gathering card game is public available from the
Gather... | [
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4075aa679683f3071d527283819637f3446ca488 | ## ProteinGym benchmarks overview
ProteinGym is an extensive set of Deep Mutational Scanning (DMS) assays curated to enable thorough comparisons of various mutation effect predictors indifferent regimes. It is comprised of two benchmarks: 1) a substitution benchmark which consists of the experimental characterisation o... | OATML-Markslab/ProteinGym | [
"arxiv:2205.13760",
"region:us"
] | 2022-07-28T21:55:30+00:00 | {} | 2022-07-28T23:12:02+00:00 | [
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] | [] | TAGS
#arxiv-2205.13760 #region-us
| ## ProteinGym benchmarks overview
ProteinGym is an extensive set of Deep Mutational Scanning (DMS) assays curated to enable thorough comparisons of various mutation effect predictors indifferent regimes. It is comprised of two benchmarks: 1) a substitution benchmark which consists of the experimental characterisation o... | [
"## ProteinGym benchmarks overview\nProteinGym is an extensive set of Deep Mutational Scanning (DMS) assays curated to enable thorough comparisons of various mutation effect predictors indifferent regimes. It is comprised of two benchmarks: 1) a substitution benchmark which consists of the experimental characterisa... | [
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e936ae69e3c70ff651d47889a389de6f596863b2 | ## ProteinGym benchmarks overview
ProteinGym is an extensive set of Deep Mutational Scanning (DMS) assays curated to enable thorough comparisons of various mutation effect predictors indifferent regimes. It is comprised of two benchmarks: 1) a substitution benchmark which consists of the experimental characterisation o... | ICML2022/ProteinGym | [
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"region:us"
] | 2022-07-28T22:16:18+00:00 | {} | 2022-07-28T23:19:31+00:00 | [
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#arxiv-2205.13760 #region-us
| ## ProteinGym benchmarks overview
ProteinGym is an extensive set of Deep Mutational Scanning (DMS) assays curated to enable thorough comparisons of various mutation effect predictors indifferent regimes. It is comprised of two benchmarks: 1) a substitution benchmark which consists of the experimental characterisation o... | [
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65d7baf884b0ca8c02ad1f678b83904ccc1d2062 |
# YALTAi Tabular Dataset
## Table of Contents
- [YALTAi Tabular Dataset](#YALTAi-Tabular-Dataset)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Datas... | biglam/yalta_ai_tabular_dataset | [
"task_categories:object-detection",
"annotations_creators:expert-generated",
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"LAM",
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] | 2022-07-29T06:02:34+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": [], "license": ["cc-by-4.0"], "multilinguality": [], "size_categories": ["n<1K"], "source_datasets": [], "task_categories": ["object-detection"], "task_ids": [], "pretty_name": "YALTAi Tabular Dataset", "tags": ["manus... | 2022-10-23T20:56:38+00:00 | [
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] | [] | TAGS
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| YALTAi Tabular Dataset
======================
Table of Contents
-----------------
* YALTAi Tabular Dataset
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
+ Dataset Structure
- Data Instances
- Data Fields
- Data Splits
+ Dataset Creation
- Curation Rat... | [
"### Dataset Summary\n\n\nThis dataset contains a subset of data used in the paper You Actually Look Twice At it (YALTAi): using an object detectionapproach instead of region segmentation within the Kraken engine. This paper proposes treating page layout recognition on historical documents as an object detection ta... | [
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17a4a3f0eec731d9559d68707b3ce65bffc4bcf5 | language:
- en
language_creators:
- found
multilinguality:
- monolingual
pretty_name: hello
size_categories:
- '100K<n<1M | pinecone/dl-doc-search | [
"region:us"
] | 2022-07-29T17:08:48+00:00 | {} | 2022-07-29T17:39:12+00:00 | [] | [] | TAGS
#region-us
| language:
- en
language_creators:
- found
multilinguality:
- monolingual
pretty_name: hello
size_categories:
- '100K<n<1M | [] | [
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ec4e46722c866c0e0bf1ad561b7bb8a4a5068995 |
This repository contains transcriptions with other metadata for the VOA Ukrainian dataset (~398h).
Usage:
```python
from datasets import load_dataset
ds = load_dataset('Yehor/voa-uk-transcriptions', split='train')
for row in ds:
print(row['text'])
```
| Yehor/voa-uk-transcriptions | [
"language:uk",
"license:cc-by-4.0",
"region:us"
] | 2022-07-30T10:59:07+00:00 | {"language": ["uk"], "license": "cc-by-4.0"} | 2022-09-10T09:07:34+00:00 | [] | [
"uk"
] | TAGS
#language-Ukrainian #license-cc-by-4.0 #region-us
|
This repository contains transcriptions with other metadata for the VOA Ukrainian dataset (~398h).
Usage:
| [] | [
"TAGS\n#language-Ukrainian #license-cc-by-4.0 #region-us \n"
] | [
22
] | [
"passage: TAGS\n#language-Ukrainian #license-cc-by-4.0 #region-us \n"
] |
1c0214d65571139d86b310eadb2e6615be0df374 | FUNSD dataset | JetsonEarth/jet_funsd | [
"region:us"
] | 2022-07-30T13:38:48+00:00 | {} | 2022-07-30T13:49:35+00:00 | [] | [] | TAGS
#region-us
| FUNSD dataset | [] | [
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50b19f4267f1528ffa926fe0112935d5bdf17597 | FUNSD | JetsonEarth/jetson_funsd | [
"region:us"
] | 2022-07-30T14:25:09+00:00 | {} | 2022-07-30T14:28:55+00:00 | [] | [] | TAGS
#region-us
| FUNSD | [] | [
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093085f8558cfd53de8e2c8f4ccc7b9e73dc22ae | # ExeBench: an ML-scale dataset of executable C functions
ExeBench is a dataset of millions of C functions paired with dependencies and metadatada such that at least a subset of it can be executed with IO pairs. It is mainly inteded for machine learning applications but it is application-agnostic enough to have other ... | jordiae/exebench | [
"region:us"
] | 2022-07-30T19:07:06+00:00 | {} | 2023-03-09T16:06:06+00:00 | [] | [] | TAGS
#region-us
| # ExeBench: an ML-scale dataset of executable C functions
ExeBench is a dataset of millions of C functions paired with dependencies and metadatada such that at least a subset of it can be executed with IO pairs. It is mainly inteded for machine learning applications but it is application-agnostic enough to have other ... | [
"# ExeBench: an ML-scale dataset of executable C functions\n\nExeBench is a dataset of millions of C functions paired with dependencies and metadatada such that at least a subset of it can be executed with IO pairs. It is mainly inteded for machine learning applications but it is application-agnostic enough to have... | [
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d2bde405fafdd53aa4f92ddf03b14a7e7533d660 |
# Dataset Card for xP3
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... | bigscience/xP3all | [
"task_categories:other",
"annotations_creators:expert-generated",
"annotations_creators:crowdsourced",
"multilinguality:multilingual",
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"language:ar",
"language:as",
"language:bm",
"language:bn",
"language:ca",
"language:code",
"language:en",
"lan... | 2022-07-30T20:05:02+00:00 | {"annotations_creators": ["expert-generated", "crowdsourced"], "language": ["ak", "ar", "as", "bm", "bn", "ca", "code", "en", "es", "eu", "fon", "fr", "gu", "hi", "id", "ig", "ki", "kn", "lg", "ln", "ml", "mr", "ne", "nso", "ny", "or", "pa", "pt", "rn", "rw", "sn", "st", "sw", "ta", "te", "tn", "ts", "tum", "tw", "ur",... | 2023-05-30T14:51:40+00:00 | [
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====================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ A... | [
"### Dataset Summary\n\n\n\n> \n> xP3 (Crosslingual Public Pool of Prompts) is a collection of prompts & datasets across 46 of languages & 16 NLP tasks. It is used for the training of BLOOMZ and mT0, multilingual language models capable of following human instructions in dozens of languages zero-shot.\n> \n> \n> \n... | [
"TAGS\n#task_categories-other #annotations_creators-expert-generated #annotations_creators-crowdsourced #multilinguality-multilingual #size_categories-100M<n<1B #language-Akan #language-Arabic #language-Assamese #language-Bambara #language-Bengali #language-Catalan #language-code #language-English #language-Spanish... | [
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5aa6d7d0c90976162beb9e98f11df3bdae500118 | # 한국어 속담 모음 v1.0
국립국어원 우리말샘의 속담을 정제해 만든 데이터입니다.
- 현대에 맞지 않는 단어가 포함된 속담 삭제
- 괄호로 표현된 변형 삭제
- 중복내용 통합
## 원본 데이터 받기
우리말샘에서 속담의 해설을 포함한 원본데이터를 다운받을 수 있습니다.
> 국립국어원 누리집 사전에 실려 있는 속담을 '자세히 찾기' 기능을 활용하여 보실 수 있습니다. 속담이 더 많이 실려 있는 사전-우리말샘의 '자세히 찾기'로 들어가셔서 '속담'을 선택하시면 사전에 실려 있는 모든 속담의 목록이 나옵니다.
https://opendict.korean.go.kr/
... | mansiksohn/opendict-korean-proverb | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
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"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:ko",
"license:cc-by-2.0",
"korean",
"proverb",
"region:us"
] | 2022-07-31T02:05:28+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["ko"], "license": ["cc-by-2.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text-generation"], "task_ids": ["language-modeling"], "pretty_name": "\ud55c\ua... | 2022-07-31T02:23:30+00:00 | [] | [
"ko"
] | TAGS
#task_categories-text-generation #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-Korean #license-cc-by-2.0 #korean #proverb #region-us
| # 한국어 속담 모음 v1.0
국립국어원 우리말샘의 속담을 정제해 만든 데이터입니다.
- 현대에 맞지 않는 단어가 포함된 속담 삭제
- 괄호로 표현된 변형 삭제
- 중복내용 통합
## 원본 데이터 받기
우리말샘에서 속담의 해설을 포함한 원본데이터를 다운받을 수 있습니다.
> 국립국어원 누리집 사전에 실려 있는 속담을 '자세히 찾기' 기능을 활용하여 보실 수 있습니다. 속담이 더 많이 실려 있는 사전-우리말샘의 '자세히 찾기'로 들어가셔서 '속담'을 선택하시면 사전에 실려 있는 모든 속담의 목록이 나옵니다.
URL
우리말샘의 서비스 이용 약관에 따르면
- ‘크... | [
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"## 원본 데이터 받기\n우리말샘에서 속담의 해설을 포함한 원본데이터를 다운받을 수 있습니다.\n\n> 국립국어원 누리집 사전에 실려 있는 속담을 '자세히 찾기' 기능을 활용하여 보실 수 있습니다. 속담이 더 많이 실려 있는 사전-우리말샘의 '자세히 찾기'로 들어가셔서 '속담'을 선택하시면 사전에 실려 있는 모든 속담의 목록이 나옵니다.\nURL\n\n우리말샘의 서... | [
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9ad3dd427c226e588642000394eae8a394c4c845 | Turkish poems scraped from antoloji.com. Features consists of id, poet name, poem rating and the poem.
| okg/turkish-poems | [
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] | 2022-07-31T09:09:54+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["tr"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["text-generation", "text-classification"], "task_ids": ["language-modeling", "text-scoring"], "p... | 2022-07-31T09:22:53+00:00 | [] | [
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#task_categories-text-generation #task_categories-text-classification #task_ids-language-modeling #task_ids-text-scoring #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #language-Turkish #license-unknown #region-us
| Turkish poems scraped from URL. Features consists of id, poet name, poem rating and the poem.
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4c51ddbf5fdb05d80db8466d2a7eb9253e240dcf | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2
* Dataset: kmfoda/booksum
* Config: kmfoda--book... | autoevaluate/autoeval-staging-eval-project-kmfoda__booksum-a84cddd6-12085614 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-31T11:46:17+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["kmfoda/booksum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2", "metrics": [], "dataset_name": "kmfoda/booksum", "dataset_config": "kmfoda--booksum", "dataset_split": "test", "co... | 2022-07-31T13:34:01+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2
* Dataset: kmfoda/booksum
* Config: kmfoda--booksum
* Split: test
To run new evalua... | [
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053020686dfa791746f5f3f463e4bc2875ba5ab2 | This dataset contains `<title, encoded_image>` pairs from [Medium](https://medium.com) articles. It was processed from the [Medium Articles Dataset (128k): Metadata + Images](https://www.kaggle.com/datasets/succinctlyai/medium-data) dataset on Kaggle.
The original images were processed in the following way:
1. Given a... | succinctly/medium-titles-and-images | [
"license:apache-2.0",
"arxiv:2104.08691",
"region:us"
] | 2022-07-31T16:24:50+00:00 | {"license": "apache-2.0"} | 2022-07-31T16:44:16+00:00 | [
"2104.08691"
] | [] | TAGS
#license-apache-2.0 #arxiv-2104.08691 #region-us
| This dataset contains '<title, encoded_image>' pairs from Medium articles. It was processed from the Medium Articles Dataset (128k): Metadata + Images dataset on Kaggle.
The original images were processed in the following way:
1. Given an image of size '(w, h)', we cropped a square of size '(n, n)' from the center of ... | [] | [
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ba1ab3571cae2263de50e79e0325852a4208ff53 | # 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-WIP9
* Dataset: samsum
* Config: samsum
* Split: test
... | autoevaluate/autoeval-staging-eval-project-samsum-0c52930e-12115616 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-07-31T23:21:47+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP9", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dialo... | 2022-07-31T23:59:32+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP9
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit Hu... | [
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96ef0d44f0763412ece4a22244a7dbb75aa4e316 |
DALL-E-Dogs is a dataset meant to produce a synthetic animal dataset. This is a precursor to DALL-E-Cats. DALL-E-Dogs and DALL-E-Cats will be fed into an image classifier to see how it performs. This is under the [BirdL-AirL License.](https://huggingface.co/spaces/BirdL/license/) | BirdL/DALL-E-Dogs | [
"task_categories:image-classification",
"task_categories:unconditional-image-generation",
"size_categories:1K<n<10K",
"license:other",
"region:us"
] | 2022-08-01T02:24:18+00:00 | {"annotations_creators": [], "language_creators": [], "language": [], "license": ["other"], "multilinguality": [], "size_categories": ["1K<n<10K"], "source_datasets": [], "task_categories": ["image-classification", "unconditional-image-generation"], "task_ids": [], "pretty_name": "DALL-E Cats Dataset", "tags": []} | 2022-09-28T20:09:11+00:00 | [] | [] | TAGS
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|
DALL-E-Dogs is a dataset meant to produce a synthetic animal dataset. This is a precursor to DALL-E-Cats. DALL-E-Dogs and DALL-E-Cats will be fed into an image classifier to see how it performs. This is under the BirdL-AirL License. | [] | [
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773323193e80d60a61ee816e58e24b7564bbb98c |
### Data summary
- This repository contains small synthetic data for Image datasets; MNIST, SVHN, and CIFAR-10.
- Each torch file contains the images and corresponding labels of sizes ranging from 1,10,50 images per class (IPC).
- For more details, please refer to our GitHub page and paper below.
### Reference
http... | ICML2022/EfficientDatasetCondensation | [
"license:mit",
"region:us"
] | 2022-08-01T05:53:31+00:00 | {"license": "mit", "data_type": "image (0-1 ranged float)"} | 2022-08-01T06:12:52+00:00 | [] | [] | TAGS
#license-mit #region-us
|
### Data summary
- This repository contains small synthetic data for Image datasets; MNIST, SVHN, and CIFAR-10.
- Each torch file contains the images and corresponding labels of sizes ranging from 1,10,50 images per class (IPC).
- For more details, please refer to our GitHub page and paper below.
### Reference
URL
... | [
"### Data summary\n- This repository contains small synthetic data for Image datasets; MNIST, SVHN, and CIFAR-10.\n- Each torch file contains the images and corresponding labels of sizes ranging from 1,10,50 images per class (IPC). \n- For more details, please refer to our GitHub page and paper below.",
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8de79b42002a6e7ab7e713787f4c427d122a269f |
# Dataset Card for LEXTREME: A Multilingual Legal Benchmark for Natural Language Understanding
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboa... | joelniklaus/lextreme | [
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"task_categories:token-classification",
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"annotations_creators:other",
"language_creators:found",
"multilinguality... | 2022-08-01T07:41:55+00:00 | {"annotations_creators": ["other"], "language_creators": ["found"], "language": ["bg", "cs", "da", "de", "el", "en", "es", "et", "fi", "fr", "ga", "hr", "hu", "it", "lt", "lv", "mt", "nl", "pl", "pt", "ro", "sk", "sl", "sv"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K... | 2023-04-29T06:02:17+00:00 | [
"2301.13126"
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"pl",
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"ro",
"sk",
"sl",
"sv"
] | TAGS
#task_categories-text-classification #task_categories-token-classification #task_ids-multi-class-classification #task_ids-multi-label-classification #task_ids-topic-classification #task_ids-named-entity-recognition #annotations_creators-other #language_creators-found #multilinguality-multilingual #size_categories-... | Dataset Card for LEXTREME: A Multilingual Legal Benchmark for Natural Language Understanding
============================================================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboar... | [
"### Dataset Summary\n\n\nThe dataset consists of 11 diverse multilingual legal NLU datasets. 6 datasets have one single configuration and 5 datasets have two or three configurations. This leads to a total of 18 tasks (8 single-label text classification tasks, 5 multi-label text classification tasks and 5 token-cla... | [
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6ce1c304556d5f62c1c7ad2378ec3dcbebdd4474 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2
* Dataset: samsum
* Config: samsum
* Split: test... | autoevaluate/autoeval-staging-eval-project-samsum-db063b78-12135617 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-01T08:22:11+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["samsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2", "metrics": [], "dataset_name": "samsum", "dataset_config": "samsum", "dataset_split": "test", "col_mapping": {"text": "dia... | 2022-08-01T08:28:59+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2
* Dataset: samsum
* Config: samsum
* Split: test
To run new evaluation jobs, visit ... | [
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32fba0b0ee59bc29ea13ff25f7029ca19b48f410 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2
* Dataset: xsum
* Config: default
* Split: test
... | autoevaluate/autoeval-staging-eval-project-xsum-4118bb33-12145618 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-01T08:26:45+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["xsum"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2", "metrics": [], "dataset_name": "xsum", "dataset_config": "default", "dataset_split": "test", "col_mapping": {"text": "docume... | 2022-08-01T12:41:09+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2
* Dataset: xsum
* Config: default
* Split: test
To run new evaluation jobs, visit H... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2\n* Dataset: xsum\n* Config: default\n* Split: test\n\nTo run new evaluatio... | [
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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-booksum-V11-big_patent-V2\n* Dataset: xsum\n* Config... | [
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6e28526de611e2cce102546dc19ee2aa5c4d9606 |
# statistics
cpp-java: 627 pairs
python-java: 616 pairs
cpp-python: 545 pairs
| ziwenyd/transcoder-geeksforgeeks | [
"license:mit",
"region:us"
] | 2022-08-01T08:28:39+00:00 | {"license": "mit"} | 2022-08-03T13:59:08+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# statistics
cpp-java: 627 pairs
python-java: 616 pairs
cpp-python: 545 pairs
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b48f43ffb8808a1d3797ad2f9c112fc743fc37a9 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split... | autoevaluate/autoeval-staging-eval-project-cnn_dailymail-b454c496-12155619 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-01T08:30:58+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["cnn_dailymail"], "eval_info": {"task": "summarization", "model": "pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2", "metrics": [], "dataset_name": "cnn_dailymail", "dataset_config": "3.0.0", "dataset_split": "test", "col_mapping": ... | 2022-08-01T14:27:24+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2
* Dataset: cnn_dailymail
* Config: 3.0.0
* Split: test
To run new evaluation jobs, ... | [
"# Dataset Card for AutoTrain Evaluator\n\nThis repository contains model predictions generated by AutoTrain for the following task and dataset:\n\n* Task: Summarization\n* Model: pszemraj/long-t5-tglobal-base-16384-booksum-V11-big_patent-V2\n* Dataset: cnn_dailymail\n* Config: 3.0.0\n* Split: test\n\nTo run new ev... | [
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ddb7e90cba94406060a1ecf502017d244b5b14c2 |
This is a Faroese NER corpus, FoNE, it was created by annotating the [Sosialurin corpus](https://huggingface.co/datasets/vesteinn/sosialurin-faroese-pos).
If you find this dataset useful, please cite
```
@inproceedings{snaebjarnarson-etal-2023-transfer,
title = "{T}ransfer to a Low-Resource Language via Close Re... | vesteinn/sosialurin-faroese-ner | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"size_categories:1K<n<10K",
"language:fo",
"license:cc-by-4.0",
"region:us"
] | 2022-08-01T11:33:34+00:00 | {"language": ["fo"], "license": "cc-by-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "FoNE"} | 2024-01-05T12:44:42+00:00 | [] | [
"fo"
] | TAGS
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|
This is a Faroese NER corpus, FoNE, it was created by annotating the Sosialurin corpus.
If you find this dataset useful, please cite
| [] | [
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cd0823496bbf167f176f6239a9ee8c0985247853 | # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Summarization
* Model: yhavinga/t5-v1.1-base-dutch-cnn-test
* Dataset: ml6team/cnn_dailymail_nl
* Config: default
* Split: test
To r... | autoevaluate/autoeval-staging-eval-project-ml6team__cnn_dailymail_nl-a771a5f9-12165620 | [
"autotrain",
"evaluation",
"region:us"
] | 2022-08-01T11:37:49+00:00 | {"type": "predictions", "tags": ["autotrain", "evaluation"], "datasets": ["ml6team/cnn_dailymail_nl"], "eval_info": {"task": "summarization", "model": "yhavinga/t5-v1.1-base-dutch-cnn-test", "metrics": [], "dataset_name": "ml6team/cnn_dailymail_nl", "dataset_config": "default", "dataset_split": "test", "col_mapping": {... | 2022-08-01T12:47:31+00:00 | [] | [] | TAGS
#autotrain #evaluation #region-us
| # Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by AutoTrain for the following task and dataset:
* Task: Summarization
* Model: yhavinga/t5-v1.1-base-dutch-cnn-test
* Dataset: ml6team/cnn_dailymail_nl
* Config: default
* Split: test
To run new evaluation jobs, visit Huggin... | [
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fa6ec90a7beb96d182372f09b04b96797ea6588a | This dataset is a custom dataset created by the author by crawling Naver News (https://news.naver.com) for the Korean NLP model hands-on.
- Period: July 1, 2022 - July 10, 2022
- Subject: IT, economics
```
DatasetDict({
train: Dataset({
features: ['date', 'category', 'press', 'title', 'document', 'link', ... | daekeun-ml/naver-news-summarization-ko | [
"task_categories:summarization",
"size_categories:10K<n<100K",
"language:ko",
"license:apache-2.0",
"region:us"
] | 2022-08-01T13:54:17+00:00 | {"language": ["ko"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["summarization"]} | 2023-01-10T11:12:44+00:00 | [] | [
"ko"
] | TAGS
#task_categories-summarization #size_categories-10K<n<100K #language-Korean #license-apache-2.0 #region-us
| This dataset is a custom dataset created by the author by crawling Naver News (URL) for the Korean NLP model hands-on.
- Period: July 1, 2022 - July 10, 2022
- Subject: IT, economics
---
license: apache-2.0
--- | [] | [
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