id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 6.67k ⌀ | citation stringlengths 0 10.7k ⌀ | likes int64 0 3.66k | downloads int64 0 8.89M | created timestamp[us] | card stringlengths 11 977k | card_len int64 11 977k | embeddings list |
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eliwill/krishnamurti_discussions | 2022-08-06T00:25:45.000Z | [
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xnik/test-dataset | 2022-08-06T09:13:11.000Z | [
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autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-24db4c9a-12575677 | 2022-08-06T12:52:18.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-06T08:22:57 | ---
type: predictions
tags:
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- Blaise-g/SumPubmed
eval_info:
task: summarization
model: L-macc/autotrain-Biomedical_sc_summ-1217846148
metrics: []
dataset_name: Blaise-g/SumPubmed
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autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-24db4c9a-12575678 | 2022-08-06T13:16:16.000Z | [
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type: predictions
tags:
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eval_info:
task: summarization
model: L-macc/autotrain-Biomedical_sc_summ-1217846144
metrics: []
dataset_name: Blaise-g/SumPubmed
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autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-24db4c9a-12575679 | 2022-08-06T13:52:49.000Z | [
"autotrain",
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"region:us"
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type: predictions
tags:
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eval_info:
task: summarization
model: L-macc/autotrain-Biomedical_sc_summ-1217846142
metrics: []
dataset_name: Blaise-g/SumPubmed
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col_mapping:
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autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-c887ce73-12585680 | 2022-08-06T16:29:37.000Z | [
"autotrain",
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"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-06T08:48:41 | ---
type: predictions
tags:
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eval_info:
task: summarization
model: Blaise-g/long_t5_global_large_pubmed_wip2
metrics: []
dataset_name: Blaise-g/SumPubmed
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Epidot/fuetal2017_highlights_temporal_preprocessed_roberta-base_oversampled | 2022-08-24T16:10:11.000Z | [
"region:us"
] | Epidot | null | null | 0 | 2 | 2022-08-06T10:23:26 | Entry not found | 15 | [
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andreagasparini/librispeech_train_other_only | 2022-08-06T10:48:44.000Z | [
"region:us"
] | andreagasparini | LibriSpeech is a corpus of approximately 1000 hours of read English speech with sampling rate of 16 kHz,
prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read
audiobooks from the LibriVox project, and has been carefully segmented and aligned.87 | @inproceedings{panayotov2015librispeech,
title={Librispeech: an ASR corpus based on public domain audio books},
author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on},
pages={5206--... | 0 | 2 | 2022-08-06T10:44:24 | Entry not found | 15 | [
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sepidmnorozy/Welsh_sentiment | 2022-08-06T17:53:00.000Z | [
"region:us"
] | sepidmnorozy | null | null | 0 | 2 | 2022-08-06T17:52:29 | Entry not found | 15 | [
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jakartaresearch/poem-tweets | 2022-08-07T08:54:18.000Z | [
"task_categories:text-generation",
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"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
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"language:id",
"license:cc-by-4.0",
"poem",
"tweets",
"twitter",
"indones... | jakartaresearch | This dataset is built for text generation task in context of poem tweets in Bahasa. | null | 2 | 2 | 2022-08-07T07:01:00 | ---
annotations_creators:
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language_creators:
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pretty_name: poem_tweets
size_categories:
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source_datasets:
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tags:
- poem
- tweets
- twitter
- indonesian
task_categories:
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task_ids:
- language-... | 2,929 | [
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Heatz/github-issues | 2022-08-07T09:28:57.000Z | [
"region:us"
] | Heatz | null | null | 0 | 2 | 2022-08-07T09:27:34 | Entry not found | 15 | [
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acul3/KoPI-CC | 2023-03-03T08:14:38.000Z | [
"task_categories:text-generation",
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"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"source_datasets:original",
"language:id",
"license:cc",
"arxiv:2201.06642",
"region:us"
] | acul3 | null | null | 0 | 2 | 2022-08-07T13:04:52 | ---
annotations_creators:
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language:
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license: cc
multilinguality:
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task_categories:
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task_ids:
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paperswithcode_id: oscar
---
### Dataset Summary
KoPI-CC (Korpus Perayapan Indonesia)-CC is In... | 10,954 | [
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biglam/bnl_ground_truth_newspapers_before_1878 | 2022-08-07T13:16:10.000Z | [
"license:cc0-1.0",
"region:us"
] | biglam | null | null | 1 | 2 | 2022-08-07T13:13:39 | ---
license: cc0-1.0
---
### Dataset description
33.000 transcribed text lines from historical newspapers (before 1878) along with the cropped images of the original scans
Text line based OCR
19.000 text lines in Antiqua
14.000 text lines in Fraktur
Transcribed using double-keying (99.95% accuracy)
Public Domain, CC... | 1,862 | [
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mesolitica/malaysian-twitter-by-topics | 2022-08-07T17:22:08.000Z | [
"region:us"
] | mesolitica | null | null | 0 | 2 | 2022-08-07T17:20:45 | Entry not found | 15 | [
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excode/amazon-shoe-reviews | 2022-08-07T20:04:27.000Z | [
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TheLitttleThings/ArchDaily | 2022-08-11T11:57:41.000Z | [
"region:us"
] | TheLitttleThings | null | null | 0 | 2 | 2022-08-08T06:29:22 | Entry not found | 15 | [
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Epidot/fuetal2017_highlights_temporal_preprocessed_TwitchLeagueBert_oversampled | 2022-08-08T12:02:14.000Z | [
"region:us"
] | Epidot | null | null | 0 | 2 | 2022-08-08T08:40:24 | Entry not found | 15 | [
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DeveloperOats/Million_News_Headlines | 2022-08-08T14:56:01.000Z | [
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"language:en",
"license:cc0-1.0",
"region:us"
] | DeveloperOats | null | null | 1 | 2 | 2022-08-08T09:24:34 | ---
annotations_creators: []
language:
- en
language_creators: []
license:
- cc0-1.0
multilinguality:
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pretty_name: million news headline
size_categories:
- 1M<n<10M
source_datasets: []
tags: []
task_categories: []
task_ids: []
---
About Dataset
Context
This contains data of news headlines published over... | 1,699 | [
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jakartaresearch/cerpen-corpus | 2022-11-28T04:15:40.000Z | [
"task_categories:text-generation",
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"cerpen",
"shor... | jakartaresearch | This dataset is built as a playground for beginner to make a use case for creating sentiment analysis model. | null | 1 | 2 | 2022-08-08T14:05:26 | ---
annotations_creators:
- no-annotation
language:
- id
language_creators:
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license:
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multilinguality:
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pretty_name: Small Indonesian Short Story Corpus
size_categories:
- n<1K
- 10K<n<100K
source_datasets:
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tags:
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- short-story
task_categories:
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task_i... | 3,012 | [
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asaxena1990/Dummy_dataset | 2022-09-05T01:29:27.000Z | [
"license:cc-by-sa-4.0",
"region:us"
] | asaxena1990 | null | null | 0 | 2 | 2022-08-08T19:23:48 | ---
license: cc-by-sa-4.0
---
annotations_creators:
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language:
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license:
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paperswithcode_id: acronym-identification
pretty_name: Massive E-commerce Dataset for Retail and Insurance domain.
size_categories:
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so... | 859 | [
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DevonK3/GHI | 2022-08-08T22:10:14.000Z | [
"region:us"
] | DevonK3 | null | null | 0 | 2 | 2022-08-08T21:30:36 | Entry not found | 15 | [
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juliaturc/medium-abstract2concrete | 2022-08-09T01:06:14.000Z | [
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Abhishekq10/sanad-full | 2022-08-09T13:52:50.000Z | [
"region:us"
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deepklarity/top-flutter-packages | 2022-08-09T09:05:39.000Z | [
"license:cc",
"region:us"
] | deepklarity | null | null | 4 | 2 | 2022-08-09T08:51:49 | ---
license: cc
---
**Top Flutter Packages Dataset**
Flutter is an open source framework by Google for building beautiful, natively compiled, multi-platform applications from a single codebase. It is gaining quite a bit of popularity because of ability to code in a single language and have it running on Android/iOS an... | 819 | [
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deepklarity/top-npm-packages | 2022-08-09T09:13:13.000Z | [
"license:cc",
"region:us"
] | deepklarity | null | null | 2 | 2 | 2022-08-09T09:06:53 | ---
license: cc
---
**Top NPM Packages Dataset**
This dataset contains a snapshot of Top 3000 popular node packages hosted on [Node Package Manager](https://www.npmjs.com/)
The dataset was scraped in `July-2022`. This includes a combination of data gathered by [Libraries.io](https://libraries.io/) and [npm](https://... | 630 | [
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deepklarity/indian-premier-league | 2022-08-09T09:47:29.000Z | [
"license:cc",
"region:us"
] | deepklarity | null | null | 2 | 2 | 2022-08-09T09:40:42 | ---
license: cc
---
**Indian Premier League Dataset**
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sepidmnorozy/Polish_sentiment | 2022-08-09T20:17:29.000Z | [
"region:us"
] | sepidmnorozy | null | null | 1 | 2 | 2022-08-09T11:16:52 | Entry not found | 15 | [
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Amo/FimFic_Omega_V3 | 2022-08-09T13:38:04.000Z | [
"region:us"
] | Amo | null | null | 1 | 2 | 2022-08-09T12:59:58 | Entry not found | 15 | [
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giulio98/stripedoc | 2022-08-09T13:07:24.000Z | [
"region:us"
] | giulio98 | null | null | 0 | 2 | 2022-08-09T13:05:16 | Entry not found | 15 | [
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autoevaluate/autoeval-staging-eval-project-Blaise-g__scitldr-89735e41-12705693 | 2022-08-09T16:51:14.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-09T15:34:05 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- Blaise-g/scitldr
eval_info:
task: summarization
model: Blaise-g/longt5_tglobal_large_scitldr
metrics: ['bertscore']
dataset_name: Blaise-g/scitldr
dataset_config: Blaise-g--scitldr
dataset_split: test
col_mapping:
text: source
target... | 890 | [
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autoevaluate/autoeval-staging-eval-project-Blaise-g__scitldr-89735e41-12705694 | 2022-08-09T16:02:45.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-09T15:34:10 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- Blaise-g/scitldr
eval_info:
task: summarization
model: Blaise-g/longt5_tglobal_large_explanatory_baseline_scitldr
metrics: ['bertscore']
dataset_name: Blaise-g/scitldr
dataset_config: Blaise-g--scitldr
dataset_split: test
col_mapping:
te... | 932 | [
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autoevaluate/autoeval-staging-eval-project-cnn_dailymail-1bafd1c4-12715695 | 2022-08-09T16:13:13.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-09T15:47:17 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- cnn_dailymail
eval_info:
task: summarization
model: sshleifer/distilbart-xsum-12-6
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: test
col_mapping:
text: article
target: highlights
---
# Dataset Card for... | 837 | [
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valadhi/agrivision | 2022-09-06T12:02:50.000Z | [
"region:us"
] | valadhi | null | null | 0 | 2 | 2022-08-09T16:26:26 | Entry not found | 15 | [
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cansen88/PromptGenerator_5_topic | 2022-08-09T23:10:46.000Z | [
"region:us"
] | cansen88 | null | null | 0 | 2 | 2022-08-09T23:10:20 | Entry not found | 15 | [
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pvbhanuteja/funsd_dataset | 2022-08-09T23:50:41.000Z | [
"region:us"
] | pvbhanuteja | https://guillaumejaume.github.io/FUNSD/ | @article{Jaume2019FUNSDAD,
title={FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents},
author={Guillaume Jaume and H. K. Ekenel and J. Thiran},
journal={2019 International Conference on Document Analysis and Recognition Workshops (ICDARW)},
year={2019},
volume={2},
pages={1-6}
} | 0 | 2 | 2022-08-09T23:47:38 | Entry not found | 15 | [
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Qilex/EN-MEstandardized | 2022-08-10T01:47:09.000Z | [
"region:us"
] | Qilex | null | null | 0 | 2 | 2022-08-10T01:47:03 | Entry not found | 15 | [
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truongpdd/mlm_dataset_for_text_clf | 2022-08-10T03:34:50.000Z | [
"region:us"
] | truongpdd | null | null | 0 | 2 | 2022-08-10T03:34:24 | Entry not found | 15 | [
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MelikeDulkadir/coronaTweets | 2022-08-10T08:03:11.000Z | [
"region:us"
] | MelikeDulkadir | null | null | 0 | 2 | 2022-08-10T08:02:32 | Entry not found | 15 | [
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intfloat/simlm-msmarco | 2022-08-11T09:25:24.000Z | [
"region:us"
] | intfloat | null | null | 1 | 2 | 2022-08-10T09:33:34 | Entry not found | 15 | [
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ChristophSchuhmann/processed_demo | 2022-08-10T11:06:51.000Z | [
"region:us"
] | ChristophSchuhmann | null | null | 0 | 2 | 2022-08-10T11:06:46 | Entry not found | 15 | [
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ChristophSchuhmann/processed_demo2 | 2022-08-10T11:19:15.000Z | [
"region:us"
] | ChristophSchuhmann | null | null | 0 | 2 | 2022-08-10T11:16:57 | Entry not found | 15 | [
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CShorten/CORD-19-prototype | 2022-08-11T20:49:11.000Z | [
"region:us"
] | CShorten | null | null | 0 | 2 | 2022-08-10T15:21:31 | Subset of CORD-19 for rapid prototyping of ideas in vector encodings and Weaviate. | 82 | [
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ksabeh/electronics-category-specific | 2022-08-10T15:24:09.000Z | [
"region:us"
] | ksabeh | null | null | 0 | 2 | 2022-08-10T15:23:27 | Entry not found | 15 | [
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ksabeh/electronics-dataset | 2022-08-10T15:25:32.000Z | [
"region:us"
] | ksabeh | null | null | 0 | 2 | 2022-08-10T15:24:29 | Entry not found | 15 | [
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0x-YuAN/YuAN-lawthone-CL | 2022-08-10T17:22:38.000Z | [
"region:us"
] | 0x-YuAN | null | null | 0 | 2 | 2022-08-10T17:20:58 | Entry not found | 15 | [
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autoevaluate/autoeval-staging-eval-project-multi_news-416d7689-12805701 | 2022-08-10T19:11:52.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-10T18:42:10 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- multi_news
eval_info:
task: summarization
model: datien228/distilbart-cnn-12-6-ftn-multi_news
metrics: []
dataset_name: multi_news
dataset_config: default
dataset_split: test
col_mapping:
text: document
target: summary
---
# Dataset ... | 850 | [
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Meowren/CapBot | 2022-08-10T18:58:02.000Z | [
"region:us"
] | Meowren | null | null | 0 | 2 | 2022-08-10T18:51:53 | 'Conversational bot' | 20 | [
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aheskandani/db | 2022-08-10T21:31:11.000Z | [
"region:us"
] | aheskandani | null | null | 0 | 2 | 2022-08-10T21:06:33 | Entry not found | 15 | [
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cansen88/PromptGenerator_32_topic | 2022-08-10T22:05:51.000Z | [
"region:us"
] | cansen88 | null | null | 0 | 2 | 2022-08-10T22:05:23 | Entry not found | 15 | [
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autoevaluate/autoeval-staging-eval-project-cnn_dailymail-00961196-12825703 | 2022-08-11T16:19:41.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T02:26:20 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- cnn_dailymail
eval_info:
task: summarization
model: sysresearch101/t5-large-finetuned-xsum-cnn
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: train
col_mapping:
text: article
target: highlights
---
# Dat... | 875 | [
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autoevaluate/autoeval-staging-eval-project-cnn_dailymail-2bf8ffdd-12835704 | 2022-08-11T16:34:44.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T02:32:45 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- cnn_dailymail
eval_info:
task: summarization
model: sysresearch101/t5-large-finetuned-xsum
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: train
col_mapping:
text: article
target: highlights
---
# Dataset... | 867 | [
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autoevaluate/autoeval-staging-eval-project-cnn_dailymail-2bf8ffdd-12835705 | 2022-08-11T16:24:08.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T02:32:49 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- cnn_dailymail
eval_info:
task: summarization
model: t5-large
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: train
col_mapping:
text: article
target: highlights
---
# Dataset Card for AutoTrain Evaluator
... | 807 | [
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autoevaluate/autoeval-staging-eval-project-cnn_dailymail-2bf8ffdd-12835706 | 2022-08-11T06:07:30.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T02:32:54 | ---
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: train
col_mapping:
text: article
target: highlights
---
# Dataset Card for AutoTrain Evaluator
... | 805 | [
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autoevaluate/autoeval-staging-eval-project-xsum-d7ddcd7b-12845708 | 2022-08-11T03:07:02.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T02:35:11 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- xsum
eval_info:
task: summarization
model: sysresearch101/t5-large-finetuned-xsum
metrics: []
dataset_name: xsum
dataset_config: default
dataset_split: test
col_mapping:
text: document
target: summary
---
# Dataset Card for AutoTrain... | 840 | [
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autoevaluate/autoeval-staging-eval-project-xsum-d7ddcd7b-12845709 | 2022-08-11T03:16:03.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T02:35:14 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- xsum
eval_info:
task: summarization
model: facebook/bart-large-cnn
metrics: []
dataset_name: xsum
dataset_config: default
dataset_split: test
col_mapping:
text: document
target: summary
---
# Dataset Card for AutoTrain Evaluator
Thi... | 810 | [
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autoevaluate/autoeval-staging-eval-project-xsum-d7ddcd7b-12845710 | 2022-08-11T03:07:06.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T02:35:19 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- xsum
eval_info:
task: summarization
model: sysresearch101/t5-large-finetuned-xsum-cnn
metrics: []
dataset_name: xsum
dataset_config: default
dataset_split: test
col_mapping:
text: document
target: summary
---
# Dataset Card for AutoT... | 848 | [
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planhanasan/github-issues | 2022-08-11T04:22:30.000Z | [
"arxiv:2005.00614",
"region:us"
] | planhanasan | null | null | 0 | 2 | 2022-08-11T03:37:06 | # Dataset Card for GitHub Issues
## Dataset Description
- **Point of Contact:** [Lewis Tunstall](lewis@huggingface.co)
### Dataset Summary
GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the 🤗 Datasets [repository](https://github.com/huggingface/datasets). It is intended fo... | 10,499 | [
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autoevaluate/autoeval-staging-eval-project-cnn_dailymail-3ca4a8a7-12855711 | 2022-08-11T19:55:34.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T06:05:02 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- cnn_dailymail
eval_info:
task: summarization
model: sysresearch101/t5-large-finetuned-xsum
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: train
col_mapping:
text: article
target: highlights
---
# Dataset... | 867 | [
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autoevaluate/autoeval-staging-eval-project-cnn_dailymail-3ca4a8a7-12855712 | 2022-08-11T20:04:47.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T06:05:08 | ---
type: predictions
tags:
- autotrain
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datasets:
- cnn_dailymail
eval_info:
task: summarization
model: sysresearch101/t5-large-finetuned-xsum-cnn
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: train
col_mapping:
text: article
target: highlights
---
# Dat... | 875 | [
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autoevaluate/autoeval-staging-eval-project-cnn_dailymail-3ca4a8a7-12855713 | 2022-08-11T09:41:15.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T06:05:13 | ---
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: train
col_mapping:
text: article
target: highlights
---
# Dataset Card for AutoTrain Evaluator
... | 805 | [
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autoevaluate/autoeval-staging-eval-project-cnn_dailymail-3ca4a8a7-12855714 | 2022-08-11T19:57:13.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T06:05:20 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- cnn_dailymail
eval_info:
task: summarization
model: t5-large
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: train
col_mapping:
text: article
target: highlights
---
# Dataset Card for AutoTrain Evaluator
... | 807 | [
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chrisjay/test-mnist-3 | 2022-08-11T08:59:25.000Z | [
"region:us"
] | chrisjay | null | null | 0 | 2 | 2022-08-11T08:57:22 | Entry not found | 15 | [
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autoevaluate/autoeval-staging-eval-project-cnn_dailymail-c1b20bff-12875715 | 2022-08-11T13:04:30.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T12:00:47 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- cnn_dailymail
eval_info:
task: summarization
model: facebook/bart-large-cnn
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: test
col_mapping:
text: article
target: highlights
---
# Dataset Card for AutoTr... | 835 | [
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autoevaluate/autoeval-staging-eval-project-cnn_dailymail-c1b20bff-12875716 | 2022-08-11T12:35:14.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T12:00:51 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- cnn_dailymail
eval_info:
task: summarization
model: csebuetnlp/mT5_multilingual_XLSum
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: test
col_mapping:
text: article
target: highlights
---
# Dataset Card ... | 855 | [
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autoevaluate/autoeval-staging-eval-project-cnn_dailymail-c1b20bff-12875717 | 2022-08-11T13:46:48.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T12:00:57 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- cnn_dailymail
eval_info:
task: summarization
model: google/pegasus-cnn_dailymail
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: test
col_mapping:
text: article
target: highlights
---
# Dataset Card for A... | 845 | [
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autoevaluate/autoeval-staging-eval-project-xsum-5cb1ece5-12895721 | 2022-08-11T15:29:15.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T12:23:54 | ---
type: predictions
tags:
- autotrain
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datasets:
- xsum
eval_info:
task: summarization
model: google/bigbird-pegasus-large-arxiv
metrics: []
dataset_name: xsum
dataset_config: default
dataset_split: test
col_mapping:
text: document
target: summary
---
# Dataset Card for AutoTrain Eva... | 832 | [
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autoevaluate/autoeval-staging-eval-project-xsum-4ce7da77-12905722 | 2022-08-11T15:31:22.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T12:26:25 | ---
type: predictions
tags:
- autotrain
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datasets:
- xsum
eval_info:
task: summarization
model: google/bigbird-pegasus-large-arxiv
metrics: []
dataset_name: xsum
dataset_config: default
dataset_split: test
col_mapping:
text: document
target: summary
---
# Dataset Card for AutoTrain Eva... | 832 | [
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flyswot/iiif_snorkel_labels | 2022-08-11T13:53:11.000Z | [
"region:us"
] | flyswot | null | null | 0 | 2 | 2022-08-11T12:26:33 | Entry not found | 15 | [
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autoevaluate/autoeval-staging-eval-project-xsum-f0ba0c18-12915723 | 2022-08-11T13:28:11.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T12:46:39 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- xsum
eval_info:
task: summarization
model: facebook/bart-large-cnn
metrics: ['bleu']
dataset_name: xsum
dataset_config: default
dataset_split: test
col_mapping:
text: document
target: summary
---
# Dataset Card for AutoTrain Evaluato... | 804 | [
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autoevaluate/autoeval-staging-eval-project-xsum-f0ba0c18-12915724 | 2022-08-11T13:18:29.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T12:46:44 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- xsum
eval_info:
task: summarization
model: facebook/bart-large-xsum
metrics: ['bleu']
dataset_name: xsum
dataset_config: default
dataset_split: test
col_mapping:
text: document
target: summary
---
# Dataset Card for AutoTrain Evaluat... | 806 | [
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autoevaluate/autoeval-staging-eval-project-xsum-f0ba0c18-12915725 | 2022-08-11T13:20:52.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T12:46:50 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- xsum
eval_info:
task: summarization
model: sshleifer/distilbart-cnn-12-6
metrics: ['bleu']
dataset_name: xsum
dataset_config: default
dataset_split: test
col_mapping:
text: document
target: summary
---
# Dataset Card for AutoTrain Ev... | 816 | [
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autoevaluate/autoeval-staging-eval-project-xsum-f0ba0c18-12915726 | 2022-08-11T13:10:53.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T12:46:56 | ---
type: predictions
tags:
- autotrain
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datasets:
- xsum
eval_info:
task: summarization
model: sshleifer/distilbart-xsum-12-6
metrics: ['bleu']
dataset_name: xsum
dataset_config: default
dataset_split: test
col_mapping:
text: document
target: summary
---
# Dataset Card for AutoTrain E... | 818 | [
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juletxara/visual-spatial-reasoning | 2022-08-11T20:11:21.000Z | [
"task_categories:image-classification",
"annotations_creators:crowdsourced",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:apache-2.0",
"arxiv:2205.00363",
"arxiv:1908.03557",
"arxiv:1908.07... | juletxara | The Visual Spatial Reasoning (VSR) corpus is a collection of caption-image pairs with true/false labels. Each caption describes the spatial relation of two individual objects in the image, and a vision-language model (VLM) needs to judge whether the caption is correctly describing the image (True) or not (False). | @article{Liu2022VisualSR,
title={Visual Spatial Reasoning},
author={Fangyu Liu and Guy Edward Toh Emerson and Nigel Collier},
journal={ArXiv},
year={2022},
volume={abs/2205.00363}
} | 3 | 2 | 2022-08-11T12:56:58 | ---
annotations_creators:
- crowdsourced
language:
- en
language_creators:
- machine-generated
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: Visual Spatial Reasoning
size_categories:
- 10K<n<100K
source_datasets:
- original
tags: []
task_categories:
- image-classification
task_ids: []
---
# Dataset... | 12,308 | [
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autoevaluate/autoeval-staging-eval-project-xsum-f0ba0c18-12915727 | 2022-08-11T16:01:35.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T13:04:59 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- xsum
eval_info:
task: summarization
model: google/pegasus-large
metrics: ['bleu']
dataset_name: xsum
dataset_config: default
dataset_split: test
col_mapping:
text: document
target: summary
---
# Dataset Card for AutoTrain Evaluator
... | 798 | [
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---
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autoevaluate/autoeval-staging-eval-project-xsum-8dc1621c-12925731 | 2022-08-11T14:00:18.000Z | [
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autoevaluate/autoeval-staging-eval-project-xsum-8dc1621c-12925733 | 2022-08-11T14:11:20.000Z | [
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autoevaluate/autoeval-staging-eval-project-xsum-8dc1621c-12925734 | 2022-08-11T16:59:36.000Z | [
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# Dataset Card for AutoTrain Evaluator
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autoevaluate/autoeval-staging-eval-project-xsum-8dc1621c-12925735 | 2022-08-11T14:37:37.000Z | [
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# Dataset Card for AutoTrain Evaluator
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autoevaluate/autoeval-staging-eval-project-xsum-8dc1621c-12925736 | 2022-08-11T15:41:05.000Z | [
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autoevaluate/autoeval-staging-eval-project-xsum-69daf1dd-12935737 | 2022-08-11T15:01:40.000Z | [
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type: predictions
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---
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autoevaluate/autoeval-staging-eval-project-xsum-69daf1dd-12935738 | 2022-08-11T15:09:17.000Z | [
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---
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autoevaluate/autoeval-staging-eval-project-xsum-69daf1dd-12935739 | 2022-08-11T15:23:03.000Z | [
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type: predictions
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autoevaluate/autoeval-staging-eval-project-xsum-69daf1dd-12935740 | 2022-08-11T15:26:20.000Z | [
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autoevaluate/autoeval-staging-eval-project-xsum-69daf1dd-12935741 | 2022-08-11T18:08:26.000Z | [
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---
# Dataset Card for AutoTrain Evaluator
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chrisjay/test-mnist-4 | 2022-08-11T15:25:28.000Z | [
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autoevaluate/autoeval-staging-eval-project-xsum-69daf1dd-12935743 | 2022-08-11T16:55:47.000Z | [
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autoevaluate/autoeval-staging-eval-project-xsum-9818ea4b-12975766 | 2022-08-11T17:34:59.000Z | [
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autoevaluate/autoeval-staging-eval-project-xsum-9818ea4b-12975768 | 2022-08-11T18:47:12.000Z | [
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---
# Dataset Card for AutoTrain Evaluator... | 820 | [
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autoevaluate/autoeval-staging-eval-project-xsum-9818ea4b-12975769 | 2022-08-11T17:49:38.000Z | [
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biglam/yalta_ai_segmonto_manuscript_dataset | 2022-08-12T08:33:43.000Z | [
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] | biglam | YALTAi: Segmonto Manuscript and Early Printed Book Dataset | @dataset{clerice_thibault_2022_6814770,
author = {Clérice, Thibault},
title = {{YALTAi: Segmonto Manuscript and Early Printed Book
Dataset}},
month = jul,
year = 2022,
publisher = {Zenodo},
version = {1.0.0},
doi = {10.5281/zenodo.6814770},
... | 1 | 2 | 2022-08-11T17:19:41 | ---
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pretty_name: YALTAi Tabular Dataset
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tags:
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---
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autoevaluate/autoeval-staging-eval-project-cnn_dailymail-d1c2a643-13015770 | 2022-08-11T18:30:39.000Z | [
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type: predictions
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eval_info:
task: summarization
model: google/pegasus-xsum
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: test
col_mapping:
text: article
target: highlights
---
# Dataset Card for AutoTrain ... | 827 | [
[
-0.035552978515625,
-0.0152587890625,
0.00873565673828125,
0.00530242919921875,
-0.0166015625,
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0.005035400390625,
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0.026763916015625,
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-0.0176239013671875,
-0.0570068359375,
-0.0132... |
autoevaluate/autoeval-staging-eval-project-cnn_dailymail-d1c2a643-13015771 | 2022-08-11T18:22:55.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T17:48:59 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- cnn_dailymail
eval_info:
task: summarization
model: facebook/bart-large-xsum
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: test
col_mapping:
text: article
target: highlights
---
# Dataset Card for AutoT... | 837 | [
[
-0.0321044921875,
-0.027008056640625,
0.0113372802734375,
0.0120697021484375,
-0.007701873779296875,
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0.03271484375,
0.029083251953125,
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-0.0171051025390625,
-0.051666259765625... |
autoevaluate/autoeval-staging-eval-project-cnn_dailymail-d1c2a643-13015772 | 2022-08-11T21:15:19.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-11T17:49:07 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- cnn_dailymail
eval_info:
task: summarization
model: google/bigbird-pegasus-large-arxiv
metrics: []
dataset_name: cnn_dailymail
dataset_config: 3.0.0
dataset_split: test
col_mapping:
text: article
target: highlights
---
# Dataset Card... | 857 | [
[
-0.0312042236328125,
-0.0227203369140625,
0.01358795166015625,
0.0142822265625,
-0.01134490966796875,
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0.0256500244140625,
-0.06854248046875,
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-0.056121826171875,
... |
ComputeHeavy/billboards-signs-and-branding | 2022-08-11T19:19:26.000Z | [
"license:cc-by-nc-sa-4.0",
"region:us"
] | ComputeHeavy | null | null | 4 | 2 | 2022-08-11T18:47:35 | ---
license: cc-by-nc-sa-4.0
---
**The original dataset is accepting contributions and annotation at https://mekabytes.com/dataset/info/billboards-signs-and-branding :)**
The goal of this dataset is to be able to recognize billboards and popular corporate logos so they can be hidden in photos, and in the future so th... | 1,527 | [
[
-0.052764892578125,
-0.05084228515625,
0.0182647705078125,
0.0213623046875,
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0.055633544921875,
0.061492919921875,
-0.044036865234375,
-0.057708740234375,
-0.0478515625,
0.0257720... |
juanpasanper/tigo_question_answer | 2022-08-12T16:22:01.000Z | [
"region:us"
] | juanpasanper | null | null | 0 | 2 | 2022-08-11T20:07:21 | Entry not found | 15 | [
[
-0.02142333984375,
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-0.060394287109375,
0.0379... |
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