id
stringlengths
2
115
lastModified
stringlengths
24
24
tags
list
author
stringlengths
2
42
description
stringlengths
0
68.7k
citation
stringlengths
0
10.7k
cardData
null
likes
int64
0
3.55k
downloads
int64
0
10.1M
card
stringlengths
0
1.01M
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-0e2388-51771145321
2023-10-04T15:39:54.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: zhangfx7/deberta-base-finetuned-squad-pruned0.1 metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: context question: question answers-text: answers.text answers-answer_start: answers.answer_start --- # 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: zhangfx7/deberta-base-finetuned-squad-pruned0.1 * Dataset: adversarial_qa * Config: adversarialQA * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@tp](https://huggingface.co/tp) for evaluating this model.
autoevaluate/autoeval-eval-acronym_identification-default-02790b-51786145322
2023-10-04T15:38:58.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-773192-51887145324
2023-10-04T15:39:01.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-c51db7-51930145325
2023-10-04T15:47:59.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: t5-base metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Summarization * Model: t5-base * Dataset: cnn_dailymail * Config: 3.0.0 * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@MaryYarova](https://huggingface.co/MaryYarova) for evaluating this model.
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-c51db7-51930145326
2023-10-04T15:42:50.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: ubikpt/t5-small-finetuned-cnn metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # 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: ubikpt/t5-small-finetuned-cnn * Dataset: cnn_dailymail * Config: 3.0.0 * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@MaryYarova](https://huggingface.co/MaryYarova) for evaluating this model.
snakespears/123
2023-10-05T17:04:57.000Z
[ "region:us" ]
snakespears
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-c51db7-51930145327
2023-10-04T15:43:40.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: Alred/t5-small-finetuned-summarization-cnn metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # 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: Alred/t5-small-finetuned-summarization-cnn * Dataset: cnn_dailymail * Config: 3.0.0 * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@MaryYarova](https://huggingface.co/MaryYarova) for evaluating this model.
BangumiBase/hanasakuiroha
2023-10-04T17:35:09.000Z
[ "size_categories:1K<n<10K", "license:mit", "art", "region:us" ]
BangumiBase
null
null
null
0
0
--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of Hanasaku Iroha This is the image base of bangumi Hanasaku Iroha, we detected 26 characters, 3949 images in total. The full dataset is [here](all.zip). **Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: | # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 | |:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------| | 0 | 995 | [Download](0/dataset.zip) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 13 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 131 | [Download](2/dataset.zip) | ![preview 1](2/preview_1.png) | ![preview 2](2/preview_2.png) | ![preview 3](2/preview_3.png) | ![preview 4](2/preview_4.png) | ![preview 5](2/preview_5.png) | ![preview 6](2/preview_6.png) | ![preview 7](2/preview_7.png) | ![preview 8](2/preview_8.png) | | 3 | 402 | [Download](3/dataset.zip) | ![preview 1](3/preview_1.png) | ![preview 2](3/preview_2.png) | ![preview 3](3/preview_3.png) | ![preview 4](3/preview_4.png) | ![preview 5](3/preview_5.png) | ![preview 6](3/preview_6.png) | ![preview 7](3/preview_7.png) | ![preview 8](3/preview_8.png) | | 4 | 139 | [Download](4/dataset.zip) | ![preview 1](4/preview_1.png) | ![preview 2](4/preview_2.png) | ![preview 3](4/preview_3.png) | ![preview 4](4/preview_4.png) | ![preview 5](4/preview_5.png) | ![preview 6](4/preview_6.png) | ![preview 7](4/preview_7.png) | ![preview 8](4/preview_8.png) | | 5 | 300 | [Download](5/dataset.zip) | ![preview 1](5/preview_1.png) | ![preview 2](5/preview_2.png) | ![preview 3](5/preview_3.png) | ![preview 4](5/preview_4.png) | ![preview 5](5/preview_5.png) | ![preview 6](5/preview_6.png) | ![preview 7](5/preview_7.png) | ![preview 8](5/preview_8.png) | | 6 | 63 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 151 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 44 | [Download](8/dataset.zip) | ![preview 1](8/preview_1.png) | ![preview 2](8/preview_2.png) | ![preview 3](8/preview_3.png) | ![preview 4](8/preview_4.png) | ![preview 5](8/preview_5.png) | ![preview 6](8/preview_6.png) | ![preview 7](8/preview_7.png) | ![preview 8](8/preview_8.png) | | 9 | 234 | [Download](9/dataset.zip) | ![preview 1](9/preview_1.png) | ![preview 2](9/preview_2.png) | ![preview 3](9/preview_3.png) | ![preview 4](9/preview_4.png) | ![preview 5](9/preview_5.png) | ![preview 6](9/preview_6.png) | ![preview 7](9/preview_7.png) | ![preview 8](9/preview_8.png) | | 10 | 167 | [Download](10/dataset.zip) | ![preview 1](10/preview_1.png) | ![preview 2](10/preview_2.png) | ![preview 3](10/preview_3.png) | ![preview 4](10/preview_4.png) | ![preview 5](10/preview_5.png) | ![preview 6](10/preview_6.png) | ![preview 7](10/preview_7.png) | ![preview 8](10/preview_8.png) | | 11 | 30 | [Download](11/dataset.zip) | ![preview 1](11/preview_1.png) | ![preview 2](11/preview_2.png) | ![preview 3](11/preview_3.png) | ![preview 4](11/preview_4.png) | ![preview 5](11/preview_5.png) | ![preview 6](11/preview_6.png) | ![preview 7](11/preview_7.png) | ![preview 8](11/preview_8.png) | | 12 | 22 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | 13 | 45 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 14 | [Download](14/dataset.zip) | ![preview 1](14/preview_1.png) | ![preview 2](14/preview_2.png) | ![preview 3](14/preview_3.png) | ![preview 4](14/preview_4.png) | ![preview 5](14/preview_5.png) | ![preview 6](14/preview_6.png) | ![preview 7](14/preview_7.png) | ![preview 8](14/preview_8.png) | | 15 | 14 | [Download](15/dataset.zip) | ![preview 1](15/preview_1.png) | ![preview 2](15/preview_2.png) | ![preview 3](15/preview_3.png) | ![preview 4](15/preview_4.png) | ![preview 5](15/preview_5.png) | ![preview 6](15/preview_6.png) | ![preview 7](15/preview_7.png) | ![preview 8](15/preview_8.png) | | 16 | 219 | [Download](16/dataset.zip) | ![preview 1](16/preview_1.png) | ![preview 2](16/preview_2.png) | ![preview 3](16/preview_3.png) | ![preview 4](16/preview_4.png) | ![preview 5](16/preview_5.png) | ![preview 6](16/preview_6.png) | ![preview 7](16/preview_7.png) | ![preview 8](16/preview_8.png) | | 17 | 15 | [Download](17/dataset.zip) | ![preview 1](17/preview_1.png) | ![preview 2](17/preview_2.png) | ![preview 3](17/preview_3.png) | ![preview 4](17/preview_4.png) | ![preview 5](17/preview_5.png) | ![preview 6](17/preview_6.png) | ![preview 7](17/preview_7.png) | ![preview 8](17/preview_8.png) | | 18 | 184 | [Download](18/dataset.zip) | ![preview 1](18/preview_1.png) | ![preview 2](18/preview_2.png) | ![preview 3](18/preview_3.png) | ![preview 4](18/preview_4.png) | ![preview 5](18/preview_5.png) | ![preview 6](18/preview_6.png) | ![preview 7](18/preview_7.png) | ![preview 8](18/preview_8.png) | | 19 | 444 | [Download](19/dataset.zip) | ![preview 1](19/preview_1.png) | ![preview 2](19/preview_2.png) | ![preview 3](19/preview_3.png) | ![preview 4](19/preview_4.png) | ![preview 5](19/preview_5.png) | ![preview 6](19/preview_6.png) | ![preview 7](19/preview_7.png) | ![preview 8](19/preview_8.png) | | 20 | 20 | [Download](20/dataset.zip) | ![preview 1](20/preview_1.png) | ![preview 2](20/preview_2.png) | ![preview 3](20/preview_3.png) | ![preview 4](20/preview_4.png) | ![preview 5](20/preview_5.png) | ![preview 6](20/preview_6.png) | ![preview 7](20/preview_7.png) | ![preview 8](20/preview_8.png) | | 21 | 15 | [Download](21/dataset.zip) | ![preview 1](21/preview_1.png) | ![preview 2](21/preview_2.png) | ![preview 3](21/preview_3.png) | ![preview 4](21/preview_4.png) | ![preview 5](21/preview_5.png) | ![preview 6](21/preview_6.png) | ![preview 7](21/preview_7.png) | ![preview 8](21/preview_8.png) | | 22 | 10 | [Download](22/dataset.zip) | ![preview 1](22/preview_1.png) | ![preview 2](22/preview_2.png) | ![preview 3](22/preview_3.png) | ![preview 4](22/preview_4.png) | ![preview 5](22/preview_5.png) | ![preview 6](22/preview_6.png) | ![preview 7](22/preview_7.png) | ![preview 8](22/preview_8.png) | | 23 | 112 | [Download](23/dataset.zip) | ![preview 1](23/preview_1.png) | ![preview 2](23/preview_2.png) | ![preview 3](23/preview_3.png) | ![preview 4](23/preview_4.png) | ![preview 5](23/preview_5.png) | ![preview 6](23/preview_6.png) | ![preview 7](23/preview_7.png) | ![preview 8](23/preview_8.png) | | 24 | 13 | [Download](24/dataset.zip) | ![preview 1](24/preview_1.png) | ![preview 2](24/preview_2.png) | ![preview 3](24/preview_3.png) | ![preview 4](24/preview_4.png) | ![preview 5](24/preview_5.png) | ![preview 6](24/preview_6.png) | ![preview 7](24/preview_7.png) | ![preview 8](24/preview_8.png) | | noise | 153 | [Download](-1/dataset.zip) | ![preview 1](-1/preview_1.png) | ![preview 2](-1/preview_2.png) | ![preview 3](-1/preview_3.png) | ![preview 4](-1/preview_4.png) | ![preview 5](-1/preview_5.png) | ![preview 6](-1/preview_6.png) | ![preview 7](-1/preview_7.png) | ![preview 8](-1/preview_8.png) |
KarisMaple/Datasets
2023-10-09T00:29:21.000Z
[ "region:us" ]
KarisMaple
null
null
null
0
0
Entry not found
skvarre/movie-posters
2023-10-04T15:41:41.000Z
[ "region:us" ]
skvarre
null
null
null
0
0
Entry not found
Icchan/LohHeHelo
2023-10-04T15:46:25.000Z
[ "license:mit", "region:us" ]
Icchan
null
null
null
0
0
--- license: mit ---
autoevaluate/autoeval-eval-xsum-default-3fa942-52095145330
2023-10-04T15:43:26.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-4465ec-52051145329
2023-10-04T15:44:04.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-71c79a-52030145328
2023-10-04T15:44:14.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
adityat570/Illusion
2023-10-04T15:44:20.000Z
[ "region:us" ]
adityat570
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-3ce1ff-51886145323
2023-10-04T15:44:42.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-0e2388-51771145320
2023-10-04T15:45:53.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: Firat/roberta-base-finetuned-squad metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: context question: question answers-text: answers.text answers-answer_start: answers.answer_start --- # 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: Firat/roberta-base-finetuned-squad * Dataset: adversarial_qa * Config: adversarialQA * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@tp](https://huggingface.co/tp) for evaluating this model.
autoevaluate/autoeval-eval-acronym_identification-default-041a90-50887145305
2023-10-04T15:45:20.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-dea1ca-52528145335
2023-10-04T15:45:58.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-86af1e-52481145334
2023-10-04T15:46:25.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-27e95e-52480145333
2023-10-04T15:46:35.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-3c1506-51115145309
2023-10-04T15:47:04.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-d912f1-50514145299
2023-10-04T15:47:13.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-776ce2-51767145318
2023-10-04T15:48:40.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: Firat/roberta-base-finetuned-squad metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: context question: question answers-text: answers.text answers-answer_start: answers.answer_start --- # 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: Firat/roberta-base-finetuned-squad * Dataset: adversarial_qa * Config: adversarialQA * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@tp](https://huggingface.co/tp) for evaluating this model.
autoevaluate/autoeval-eval-acronym_identification-default-93889a-52655145338
2023-10-04T15:47:50.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-6c08c6-52922145339
2023-10-04T15:48:29.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-mt_eng_vietnamese-iwslt2015-en-vi-482b7e-52972145341
2023-10-04T15:48:36.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-96e626-52980145342
2023-10-04T15:48:47.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-0b6f0f-53075145343
2023-10-04T15:49:07.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-80b96e-53097145344
2023-10-04T15:49:13.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-8f423d-53105145345
2023-10-04T15:49:24.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-ccdv__pubmed-summarization-section-c19ce4-53114145346
2023-10-04T17:42:21.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - ccdv/pubmed-summarization eval_info: task: summarization model: Alred/bart-base-finetuned-summarization-cnn-ver3 metrics: [] dataset_name: ccdv/pubmed-summarization dataset_config: section dataset_split: train col_mapping: text: article target: abstract --- # 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: Alred/bart-base-finetuned-summarization-cnn-ver3 * Dataset: ccdv/pubmed-summarization * Config: section * Split: train To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@Vishnu196](https://huggingface.co/Vishnu196) for evaluating this model.
autoevaluate/autoeval-eval-acronym_identification-default-a3c1f9-53123145347
2023-10-04T15:49:51.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-allocine-allocine-e76e4b-53129145348
2023-10-04T15:50:02.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-allocine-allocine-63d31d-53130145349
2023-10-04T15:50:29.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-799073-53177145350
2023-10-04T15:50:49.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-ccdv__pubmed-summarization-section-4b477d-53190145351
2023-10-05T09:09:51.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - ccdv/pubmed-summarization eval_info: task: summarization model: 0x70DA/pegasus-cnn_dailymail metrics: [] dataset_name: ccdv/pubmed-summarization dataset_config: section dataset_split: train col_mapping: text: article target: abstract --- # 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: 0x70DA/pegasus-cnn_dailymail * Dataset: ccdv/pubmed-summarization * Config: section * Split: train To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@Vishnu196](https://huggingface.co/Vishnu196) for evaluating this model.
autoevaluate/autoeval-eval-acronym_identification-default-60b92e-53321145352
2023-10-04T15:51:27.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
drhead/laion_hd_21M_deduped
2023-10-04T15:59:02.000Z
[ "region:us" ]
drhead
null
null
null
0
0
A subset of LAION Aesthetics v2 5+, filtered to include only high resolution (1024x1024+) images, then processed to remove dead links (as of October 2023), and with embeddings recalculated using CLIP-ViT-L-patch14 which were used to both remove poor-quality image-caption matches (CLIP similarity <0.2) and to deduplicate the dataset. Roughly one third of the dataset was dropped by these operations after filtering high resolution images.
autoevaluate/autoeval-eval-acronym_identification-default-e72146-52953145340
2023-10-04T15:52:06.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-ade_corpus_v2-Ade_corpus_v2_classification-10bab6-52328145331
2023-10-04T15:52:45.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-adversarial_qa-adversarialQA-776ce2-51767145319
2023-10-04T15:54:59.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - adversarial_qa eval_info: task: extractive_question_answering model: zhangfx7/deberta-base-finetuned-squad-pruned0.1 metrics: [] dataset_name: adversarial_qa dataset_config: adversarialQA dataset_split: validation col_mapping: context: context question: question answers-text: answers.text answers-answer_start: answers.answer_start --- # 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: zhangfx7/deberta-base-finetuned-squad-pruned0.1 * Dataset: adversarial_qa * Config: adversarialQA * Split: validation To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@tp](https://huggingface.co/tp) for evaluating this model.
autoevaluate/autoeval-eval-acronym_identification-default-e98021-52529145336
2023-10-04T15:54:04.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-ade_corpus_v2-Ade_corpus_v2_classification-0d7adf-52329145332
2023-10-04T15:54:42.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-ade_corpus_v2-Ade_corpus_v2_classification-0b83d9-52625145337
2023-10-04T15:55:30.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-gigaword-default-eb1b4a-58978145361
2023-10-04T15:55:32.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-c0c752-59212145362
2023-10-04T15:56:10.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-multi_nli-default-4bf17f-59291145363
2023-10-04T15:58:15.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - multi_nli eval_info: task: natural_language_inference model: roberta-large-mnli metrics: [] dataset_name: multi_nli dataset_config: default dataset_split: validation_matched col_mapping: text1: premise text2: hypothesis target: label --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Natural Language Inference * Model: roberta-large-mnli * Dataset: multi_nli * Config: default * Split: validation_matched To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@paadnan](https://huggingface.co/paadnan) for evaluating this model.
autoevaluate/autoeval-eval-Jean-Baptiste__wikiner_fr-Jean-Baptiste__wikiner_fr-96a887-53707145358
2023-10-04T15:56:49.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-multi_nli-default-544a62-53715145359
2023-10-04T15:59:12.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - multi_nli eval_info: task: natural_language_inference model: roberta-large-mnli metrics: [] dataset_name: multi_nli dataset_config: default dataset_split: validation_matched col_mapping: text1: premise text2: hypothesis target: label --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Natural Language Inference * Model: roberta-large-mnli * Dataset: multi_nli * Config: default * Split: validation_matched To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@kslnet](https://huggingface.co/kslnet) for evaluating this model.
autoevaluate/autoeval-eval-glue-cola-09565d-53342145353
2023-10-04T15:57:33.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-350c9e-53387145354
2023-10-04T15:58:17.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-ade_corpus_v2-Ade_corpus_v2_classification-0abea0-53408145355
2023-10-04T15:58:31.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-c1b969-53633145356
2023-10-04T15:58:50.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-squad_v2-squad_v2-6295cf-59552145368
2023-10-04T15:58:57.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-spider-spider-251ea9-59625145369
2023-10-04T16:46:34.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - spider eval_info: task: translation model: charanhu/text_to_sql_2 metrics: ['accuracy'] dataset_name: spider dataset_config: spider dataset_split: train col_mapping: source: question target: query --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Translation * Model: charanhu/text_to_sql_2 * Dataset: spider * Config: spider * Split: train To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@Sbaig3229](https://huggingface.co/Sbaig3229) for evaluating this model.
autoevaluate/autoeval-eval-ag_news-default-425da4-59710145370
2023-10-04T16:02:24.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - ag_news eval_info: task: summarization model: AleBurzio/long-t5-base-govreport metrics: [] dataset_name: ag_news dataset_config: default dataset_split: test col_mapping: text: text target: label --- # 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: AleBurzio/long-t5-base-govreport * Dataset: ag_news * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@AdinaY](https://huggingface.co/AdinaY) for evaluating this model.
autoevaluate/autoeval-eval-ag_news-default-8f9ba7-59715145371
2023-10-04T16:02:24.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - ag_news eval_info: task: summarization model: AleBurzio/long-t5-base-govreport metrics: [] dataset_name: ag_news dataset_config: default dataset_split: test col_mapping: text: text target: label --- # 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: AleBurzio/long-t5-base-govreport * Dataset: ag_news * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@AdinaY](https://huggingface.co/AdinaY) for evaluating this model.
autoevaluate/autoeval-eval-ag_news-default-d2b27e-59716145372
2023-10-04T16:02:43.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - ag_news eval_info: task: summarization model: AleBurzio/long-t5-base-govreport metrics: ['f1'] dataset_name: ag_news dataset_config: default dataset_split: test col_mapping: text: text target: label --- # 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: AleBurzio/long-t5-base-govreport * Dataset: ag_news * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@AdinaY](https://huggingface.co/AdinaY) for evaluating this model.
autoevaluate/autoeval-eval-acronym_identification-default-0ab51d-59796145373
2023-10-04T16:00:24.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-ecbcce-59834145375
2023-10-04T16:01:04.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-fd9ac7-59549145367
2023-10-04T16:01:45.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-xsum-default-80767e-59416145366
2023-10-04T17:25:24.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: xysmalobia/pegasus-samsum metrics: [] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # 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: xysmalobia/pegasus-samsum * Dataset: xsum * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@oh aziz principle asadza e akram aur mere aziz sathion, alslam o alikum mera naam nadia akram hai aur main jmat e nahm ki tulba hun meri aaj ki tkrir ka unwaan hai ustaad ka mukaam. aj jo hamari dars gahon main ustaad hoty hain hakikat main aik quom ki buniad hoty hain. Sathion aik ustaad ka kaam hai ke woh humein jahalat ki tarikiyon sy nikal kr Ilm ki norani dunia main laty hain ustaad humain achhy bure ka fark btate hain akl o shaur ko nikharty hain aur humin is qabil banaty hain ke zindagi ke mrahl sy asani se guzar sakein.](https://huggingface.co/oh aziz principle asadza e akram aur mere aziz sathion, alslam o alikum mera naam nadia akram hai aur main jmat e nahm ki tulba hun meri aaj ki tkrir ka unwaan hai ustaad ka mukaam. aj jo hamari dars gahon main ustaad hoty hain hakikat main aik quom ki buniad hoty hain. Sathion aik ustaad ka kaam hai ke woh humein jahalat ki tarikiyon sy nikal kr Ilm ki norani dunia main laty hain ustaad humain achhy bure ka fark btate hain akl o shaur ko nikharty hain aur humin is qabil banaty hain ke zindagi ke mrahl sy asani se guzar sakein.) for evaluating this model.
autoevaluate/autoeval-eval-acronym_identification-default-7a5543-59870145377
2023-10-04T16:02:48.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-Jean-Baptiste__wikiner_fr-Jean-Baptiste__wikiner_fr-4a0257-53706145357
2023-10-04T16:02:56.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-gigaword-default-eb1b4a-58978145360
2023-10-04T16:05:42.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - gigaword eval_info: task: summarization model: facebook/bart-large-xsum metrics: ['bertscore'] dataset_name: gigaword dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Summarization * Model: facebook/bart-large-xsum * Dataset: gigaword * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@pkumark](https://huggingface.co/pkumark) for evaluating this model.
autoevaluate/autoeval-eval-acronym_identification-default-94276c-59919145378
2023-10-04T16:03:00.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-34156b-59952145383
2023-10-04T16:03:27.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-34156b-59952145381
2023-10-04T16:12:41.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
1
0
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: Alred/bart-base-finetuned-summarization-cnn-ver3 metrics: ['rouge', 'accuracy', 'bleu', 'exact_match', 'f1', 'perplexity', 'recall', 'precision', 'roc_auc'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # 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: Alred/bart-base-finetuned-summarization-cnn-ver3 * Dataset: cnn_dailymail * Config: 3.0.0 * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@sini raj p](https://huggingface.co/sini raj p) for evaluating this model.
autoevaluate/autoeval-eval-acronym_identification-default-7825fa-59298145364
2023-10-04T16:03:39.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-5cdf6d-59957145384
2023-10-04T16:03:39.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-a8bcc5-59979145385
2023-10-04T16:04:19.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-zeroshot__twitter-financial-news-sentiment-zeroshot__tw-fa5d8c-60062145388
2023-10-04T16:04:33.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-wisesight_sentiment-wisesight_sentiment-68f4ec-60064145389
2023-10-04T16:04:44.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-thaisum-thaisum-0e2603-59838145376
2023-10-04T16:15:58.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - thaisum eval_info: task: summarization model: thanathorn/mt5-cpe-kmutt-thai-sentence-sum metrics: [] dataset_name: thaisum dataset_config: thaisum dataset_split: test col_mapping: text: body target: summary --- # 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: thanathorn/mt5-cpe-kmutt-thai-sentence-sum * Dataset: thaisum * Config: thaisum * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@Kantaka](https://huggingface.co/Kantaka) for evaluating this model.
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-34156b-59952145380
2023-10-04T17:42:14.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: 0x70DA/pegasus-cnn_dailymail metrics: ['rouge', 'accuracy', 'bleu', 'exact_match', 'f1', 'perplexity', 'recall', 'precision', 'roc_auc'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # 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: 0x70DA/pegasus-cnn_dailymail * Dataset: cnn_dailymail * Config: 3.0.0 * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@sini raj p](https://huggingface.co/sini raj p) for evaluating this model.
autoevaluate/autoeval-eval-code_search_net-java-b39aac-60095145392
2023-10-04T16:05:38.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-b3d847-59833145374
2023-10-04T16:06:15.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-84482e-60145145395
2023-10-04T17:41:33.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: google/roberta2roberta_L-24_cnn_daily_mail metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Summarization * Model: google/roberta2roberta_L-24_cnn_daily_mail * Dataset: cnn_dailymail * Config: 3.0.0 * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@SINI RAJ P](https://huggingface.co/SINI RAJ P) for evaluating this model.
autoevaluate/autoeval-eval-acronym_identification-default-b69462-60107145393
2023-10-04T16:06:52.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-052b0b-60134145394
2023-10-04T16:07:31.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-34156b-59952145382
2023-10-04T16:29:27.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: MohamedZaitoon/bart-fine-tune metrics: ['rouge', 'accuracy', 'bleu', 'exact_match', 'f1', 'perplexity', 'recall', 'precision', 'roc_auc'] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # 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: MohamedZaitoon/bart-fine-tune * Dataset: cnn_dailymail * Config: 3.0.0 * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@sini raj p](https://huggingface.co/sini raj p) for evaluating this model.
BangumiBase/gekkanshoujonozakikun
2023-10-04T17:18:33.000Z
[ "size_categories:1K<n<10K", "license:mit", "art", "region:us" ]
BangumiBase
null
null
null
0
0
--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of Gekkan Shoujo Nozaki-kun This is the image base of bangumi Gekkan Shoujo Nozaki-kun, we detected 14 characters, 1916 images in total. The full dataset is [here](all.zip). **Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: | # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 | |:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------| | 0 | 491 | [Download](0/dataset.zip) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 10 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 11 | [Download](2/dataset.zip) | ![preview 1](2/preview_1.png) | ![preview 2](2/preview_2.png) | ![preview 3](2/preview_3.png) | ![preview 4](2/preview_4.png) | ![preview 5](2/preview_5.png) | ![preview 6](2/preview_6.png) | ![preview 7](2/preview_7.png) | ![preview 8](2/preview_8.png) | | 3 | 12 | [Download](3/dataset.zip) | ![preview 1](3/preview_1.png) | ![preview 2](3/preview_2.png) | ![preview 3](3/preview_3.png) | ![preview 4](3/preview_4.png) | ![preview 5](3/preview_5.png) | ![preview 6](3/preview_6.png) | ![preview 7](3/preview_7.png) | ![preview 8](3/preview_8.png) | | 4 | 777 | [Download](4/dataset.zip) | ![preview 1](4/preview_1.png) | ![preview 2](4/preview_2.png) | ![preview 3](4/preview_3.png) | ![preview 4](4/preview_4.png) | ![preview 5](4/preview_5.png) | ![preview 6](4/preview_6.png) | ![preview 7](4/preview_7.png) | ![preview 8](4/preview_8.png) | | 5 | 29 | [Download](5/dataset.zip) | ![preview 1](5/preview_1.png) | ![preview 2](5/preview_2.png) | ![preview 3](5/preview_3.png) | ![preview 4](5/preview_4.png) | ![preview 5](5/preview_5.png) | ![preview 6](5/preview_6.png) | ![preview 7](5/preview_7.png) | ![preview 8](5/preview_8.png) | | 6 | 20 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 117 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 182 | [Download](8/dataset.zip) | ![preview 1](8/preview_1.png) | ![preview 2](8/preview_2.png) | ![preview 3](8/preview_3.png) | ![preview 4](8/preview_4.png) | ![preview 5](8/preview_5.png) | ![preview 6](8/preview_6.png) | ![preview 7](8/preview_7.png) | ![preview 8](8/preview_8.png) | | 9 | 14 | [Download](9/dataset.zip) | ![preview 1](9/preview_1.png) | ![preview 2](9/preview_2.png) | ![preview 3](9/preview_3.png) | ![preview 4](9/preview_4.png) | ![preview 5](9/preview_5.png) | ![preview 6](9/preview_6.png) | ![preview 7](9/preview_7.png) | ![preview 8](9/preview_8.png) | | 10 | 93 | [Download](10/dataset.zip) | ![preview 1](10/preview_1.png) | ![preview 2](10/preview_2.png) | ![preview 3](10/preview_3.png) | ![preview 4](10/preview_4.png) | ![preview 5](10/preview_5.png) | ![preview 6](10/preview_6.png) | ![preview 7](10/preview_7.png) | ![preview 8](10/preview_8.png) | | 11 | 30 | [Download](11/dataset.zip) | ![preview 1](11/preview_1.png) | ![preview 2](11/preview_2.png) | ![preview 3](11/preview_3.png) | ![preview 4](11/preview_4.png) | ![preview 5](11/preview_5.png) | ![preview 6](11/preview_6.png) | ![preview 7](11/preview_7.png) | ![preview 8](11/preview_8.png) | | 12 | 9 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | noise | 121 | [Download](-1/dataset.zip) | ![preview 1](-1/preview_1.png) | ![preview 2](-1/preview_2.png) | ![preview 3](-1/preview_3.png) | ![preview 4](-1/preview_4.png) | ![preview 5](-1/preview_5.png) | ![preview 6](-1/preview_6.png) | ![preview 7](-1/preview_7.png) | ![preview 8](-1/preview_8.png) |
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-84482e-60145145398
2023-10-04T16:11:17.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-5cd879-59989145386
2023-10-04T16:12:07.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-squad_v2-squad_v2-09fae6-60161145399
2023-10-04T16:12:48.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-thaisum-thaisum-7581c9-59349145365
2023-10-04T16:24:22.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - thaisum eval_info: task: summarization model: thanathorn/mt5-cpe-kmutt-thai-sentence-sum metrics: [] dataset_name: thaisum dataset_config: thaisum dataset_split: test col_mapping: text: body target: summary --- # 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: thanathorn/mt5-cpe-kmutt-thai-sentence-sum * Dataset: thaisum * Config: thaisum * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@Kantaka](https://huggingface.co/Kantaka) for evaluating this model.
autoevaluate/autoeval-eval-imdb-plain_text-fb786e-60200145400
2023-10-04T16:16:09.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-bf5efc-60273145401
2023-10-04T16:16:34.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-xsum-default-7c65dc-60294145403
2023-10-04T16:16:35.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-xsum-default-7c65dc-60294145404
2023-10-04T16:50:54.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: google/pegasus-xsum metrics: ['bertscore'] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Summarization * Model: google/pegasus-xsum * Dataset: xsum * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@zuzannad1](https://huggingface.co/zuzannad1) for evaluating this model.
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-84482e-60145145397
2023-10-04T16:26:58.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: ARTeLab/it5-summarization-mlsum metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Summarization * Model: ARTeLab/it5-summarization-mlsum * Dataset: cnn_dailymail * Config: 3.0.0 * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@SINI RAJ P](https://huggingface.co/SINI RAJ P) for evaluating this model.
autoevaluate/autoeval-eval-xsum-default-7c65dc-60294145405
2023-10-04T17:06:57.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: slauw87/bart_summarisation metrics: ['bertscore'] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # 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: slauw87/bart_summarisation * Dataset: xsum * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@zuzannad1](https://huggingface.co/zuzannad1) for evaluating this model.
autoevaluate/autoeval-eval-acronym_identification-default-c270be-60332145406
2023-10-04T16:24:59.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-a07eb1-60483145408
2023-10-04T16:25:40.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-xsum-default-8e4fa8-60494145409
2023-10-04T16:34:53.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - xsum eval_info: task: summarization model: morenolq/bart-base-xsum metrics: [] dataset_name: xsum dataset_config: default dataset_split: test col_mapping: text: document target: summary --- # 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: morenolq/bart-base-xsum * Dataset: xsum * Config: default * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@zuzannad1](https://huggingface.co/zuzannad1) for evaluating this model.
autoevaluate/autoeval-eval-ade_corpus_v2-Ade_corpus_v2_classification-beb11b-59927145379
2023-10-04T16:30:04.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-acronym_identification-default-c18928-60066145390
2023-10-04T16:30:46.000Z
[ "region:us" ]
autoevaluate
null
null
null
0
0
Entry not found
autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-84482e-60145145396
2023-10-04T16:35:02.000Z
[ "autotrain", "evaluation", "region:us" ]
autoevaluate
null
null
null
0
0
--- type: predictions tags: - autotrain - evaluation datasets: - cnn_dailymail eval_info: task: summarization model: gauravkoradiya/T5-Fintuned-on-cnn_daily_mail metrics: [] dataset_name: cnn_dailymail dataset_config: 3.0.0 dataset_split: test col_mapping: text: article target: highlights --- # 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: gauravkoradiya/T5-Fintuned-on-cnn_daily_mail * Dataset: cnn_dailymail * Config: 3.0.0 * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@SINI RAJ P](https://huggingface.co/SINI RAJ P) for evaluating this model.
ernestum/ppo-Pendulum-v1
2023-10-04T16:32:27.000Z
[ "region:us" ]
ernestum
null
null
null
0
0
--- dataset_info: features: - name: obs sequence: sequence: float32 - name: acts sequence: sequence: float32 - name: infos sequence: string - name: terminal dtype: bool - name: rews sequence: float32 splits: - name: train num_bytes: 2575710 num_examples: 200 download_size: 940375 dataset_size: 2575710 --- # Dataset Card for "ppo-Pendulum-v1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)