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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
chrisjay/test-mnist-5 | 2022-08-11T20:27:39.000Z | [
"region:us"
] | chrisjay | null | null | 0 | 2 | 2022-08-11T20:26:24 | Entry not found | 15 | [
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gere/Visual_speetch | 2022-08-16T08:06:06.000Z | [
"region:us"
] | gere | null | null | 0 | 2 | 2022-08-12T10:43:22 | Entry not found | 15 | [
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darragh/demo_data_raw3 | 2022-08-12T13:33:10.000Z | [
"region:us"
] | darragh | null | null | 0 | 2 | 2022-08-12T10:50:15 | Entry not found | 15 | [
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0.0379... |
darragh/demo_data_raw4 | 2022-08-12T13:24:37.000Z | [
"region:us"
] | darragh | null | null | 0 | 2 | 2022-08-12T13:24:30 | Entry not found | 15 | [
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darragh/demo__ds1 | 2022-08-12T13:25:58.000Z | [
"region:us"
] | darragh | null | null | 0 | 2 | 2022-08-12T13:25:54 | Entry not found | 15 | [
[
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0.0379... |
maximedb/massive | 2022-08-12T15:52:37.000Z | [
"region:us"
] | maximedb | null | null | 0 | 2 | 2022-08-12T14:00:15 | Entry not found | 15 | [
[
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tner/label2id | 2022-09-27T19:48:06.000Z | [
"region:us"
] | tner | null | null | 0 | 2 | 2022-08-12T14:07:20 | # Label2Id
This repository contains all the label2id files of [tner](https://huggingface.co/tner) dataset. | 106 | [
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autoevaluate/autoeval-staging-eval-project-Tristan__zero_shot_classification_test-fb99e6e4-4634 | 2022-08-12T19:18:42.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-12T17:41:07 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- Tristan/zero_shot_classification_test
eval_info:
task: zero_shot_classification
model: facebook/opt-125m
metrics: []
dataset_name: Tristan/zero_shot_classification_test
dataset_config: Tristan--zero_shot_classification_test
dataset_split: test... | 988 | [
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maykcaldas/dbSelfiesWL | 2022-08-24T02:47:09.000Z | [
"region:us"
] | maykcaldas | null | null | 0 | 2 | 2022-08-12T18:40:20 | Entry not found | 15 | [
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Meowren/Melopoly | 2022-08-12T20:44:27.000Z | [
"region:us"
] | Meowren | null | null | 0 | 2 | 2022-08-12T20:43:20 | annotations_creators:
- found
language:
- English
language_creators:
- found
license: []
multilinguality:
- monolingual
pretty_name: Lines from American Psycho - All Michael Bateman
size_categories: []
source_datasets: []
tags:
- ai
- chatbot
- textgeneration
task_categories:
- conversational
task_ids:
- dialogue-gener... | 325 | [
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jakartaresearch/news-title-gen | 2022-08-13T06:32:12.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:id",
"license:cc-by-4.0",
"newspapers",
"title",
"news",
"regio... | jakartaresearch | This dataset is built for generating text for news title. | null | 1 | 2 | 2022-08-13T01:39:26 | ---
annotations_creators:
- no-annotation
language:
- id
language_creators:
- found
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: Indonesian News Title Generation
size_categories:
- 10K<n<100K
source_datasets:
- original
tags:
- newspapers
- title
- news
task_categories:
- text-generation
task_ids:
-... | 2,840 | [
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RUCAIBox/Chinese-Generation | 2022-10-25T06:19:15.000Z | [
"task_categories:summarization",
"task_categories:text2text-generation",
"task_categories:text-generation",
"multilinguality:monolingual",
"language:zh",
"region:us"
] | RUCAIBox | null | null | 11 | 2 | 2022-08-13T02:07:35 | ---
language:
- zh
multilinguality:
- monolingual
task_categories:
- summarization
- text2text-generation
- text-generation
task_ids: []
---
This is the Chinese generation datasets collected by TextBox, including:
- LCSTS (lcsts)
- CSL (csl)
- ADGEN (adgen).
The detail and leaderboard of each dataset can be found in ... | 380 | [
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prerona/new_dataset | 2022-08-22T15:15:20.000Z | [
"region:us"
] | prerona | The dataset contains six different class labels for news categorization task and is available with training, development, and test splits with 11,284, 1,411, and 1,411 news articles, respectively. | @article{alam2021review,
title={A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models},
author={Alam, Firoj and Hasan, Md Arid and Alam, Tanvir and Khan, Akib and Tajrin, Janntatul and Khan, Naira and Chowdhury, Shammur Absar},
journal={arXiv preprint arXiv:2107.03844},
year... | 0 | 2 | 2022-08-13T07:32:23 | # Dataset Card for new_dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields... | 4,281 | [
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Gabriel/cnn_daily_swe | 2022-10-29T11:53:08.000Z | [
"task_categories:summarization",
"task_categories:text2text-generation",
"size_categories:100K<n<1M",
"source_datasets:https://github.com/huggingface/datasets/tree/master/datasets/cnn_dailymail",
"language:sv",
"license:mit",
"conditional-text-generation",
"region:us"
] | Gabriel | null | null | 0 | 2 | 2022-08-13T08:55:53 | ---
language:
- sv
license:
- mit
size_categories:
- 100K<n<1M
source_datasets:
- https://github.com/huggingface/datasets/tree/master/datasets/cnn_dailymail
task_categories:
- summarization
- text2text-generation
task_ids: []
tags:
- conditional-text-generation
---
# Dataset Card for Swedish CNN Dailymail Dataset
The ... | 1,335 | [
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0.0... |
truongpdd/luc-bat | 2022-08-13T11:20:05.000Z | [
"region:us"
] | truongpdd | null | null | 0 | 2 | 2022-08-13T11:19:53 | Entry not found | 15 | [
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sepidmnorozy/Bambara_sentiment | 2022-08-13T14:26:06.000Z | [
"region:us"
] | sepidmnorozy | null | null | 0 | 2 | 2022-08-13T14:24:19 | Entry not found | 15 | [
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RUCAIBox/Style-Transfer | 2022-10-25T06:18:14.000Z | [
"task_categories:other",
"multilinguality:monolingual",
"language:en",
"style-transfer",
"region:us"
] | RUCAIBox | null | null | 1 | 2 | 2022-08-13T14:34:29 | ---
language:
- en
multilinguality:
- monolingual
task_categories:
- other
task_ids: []
tags:
- style-transfer
---
This is the text style transfer datasets collected by TextBox, including:
- GYAFC Entertainment & Music (gyafc_em).
- GYAFC Family & Relationships (gyafc_fr).
The detail and leaderboard of each dataset c... | 395 | [
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Gabriel/wiki_lingua_swe | 2022-10-29T11:54:17.000Z | [
"task_categories:summarization",
"task_categories:text2text-generation",
"size_categories:10K<n<100K",
"source_datasets:https://github.com/morningmoni/CiteSu",
"language:sv",
"license:cc-by-sa-3.0",
"conditional-text-generation",
"region:us"
] | Gabriel | null | null | 0 | 2 | 2022-08-13T14:44:24 | ---
language:
- sv
license:
- cc-by-sa-3.0
size_categories:
- 10K<n<100K
source_datasets:
- https://github.com/morningmoni/CiteSu
task_categories:
- summarization
- text2text-generation
task_ids: []
tags:
- conditional-text-generation
---
# Dataset Card for Swedish Wiki_lingua Dataset
The Swedish wiki_lingua dataset h... | 1,237 | [
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AhmedSSoliman/DJANGO | 2022-08-14T14:19:28.000Z | [
"region:us"
] | AhmedSSoliman | null | null | 1 | 2 | 2022-08-13T16:44:25 | Django Dataset for Code Translation Tasks
=========================================
*Django* dataset used in the paper
[*"Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation"*](http://ieeexplore.ieee.org/document/7372045/),
Oda et al., ASE, 2015.
The Django dataset is a dataset ... | 1,240 | [
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Adapting/2022-GLOBAL-AI-CHALLENGE | 2022-09-03T19:51:52.000Z | [
"region:us"
] | Adapting | null | null | 0 | 2 | 2022-08-13T17:55:03 | Entry not found | 15 | [
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0.0379... |
m3/multi_domain_document_classification | 2022-08-25T11:25:30.000Z | [
"region:us"
] | m3 | Multi domain document classification dataset used in [https://arxiv.org/pdf/2004.10964.pdf](https://arxiv.org/pdf/2004.10964.pdf) | @inproceedings{dontstoppretraining2020,
author = {Suchin Gururangan and Ana Marasović and Swabha Swayamdipta and Kyle Lo and Iz Beltagy and Doug Downey and Noah A. Smith},
title = {Don't Stop Pretraining: Adapt Language Models to Domains and Tasks},
year = {2020},
booktitle = {Proceedings of ACL},
} | 0 | 2 | 2022-08-13T22:50:55 |
# multi_domain_document_classification
Multi-domain document classification datasets.
- Biomedical: `chemprot`, `rct-sample`
- Computer Science: `citation_intent`, `sciie`
- Customer Review: `amcd`, `yelp_review`
- Social Media: `tweet_eval_irony`, `tweet_eval_hate`, `tweet_eval_emotion`
The `yelp_review` dataset is ... | 1,939 | [
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0.01... |
thocheat/sv_corpora_parliament_processed | 2022-08-14T07:58:50.000Z | [
"region:us"
] | thocheat | null | null | 0 | 2 | 2022-08-14T07:58:31 | Entry not found | 15 | [
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thientran/autotrain-data-favs_bot | 2022-08-16T03:18:04.000Z | [
"language:en",
"region:us"
] | thientran | null | null | 0 | 2 | 2022-08-14T09:57:34 | ---
language:
- en
---
# AutoTrain Dataset for project: favs_bot
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project favs_bot.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sample from this dataset looks as fol... | 2,282 | [
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chou/test_name | 2022-08-14T13:59:43.000Z | [
"region:us"
] | chou | null | null | 0 | 2 | 2022-08-14T13:59:27 | Entry not found | 15 | [
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darkproger/librispeech_asr | 2022-08-14T16:46:17.000Z | [
"license:cc-by-4.0",
"region:us"
] | darkproger | 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 | 2022-08-14T14:14:16 | ---
license: cc-by-4.0
---
This is a dataset is a fork of [librispeech_asr](https://huggingface.co/datasets/librispeech_asr) that defines each original split (like train-clean-100) as a split (named `train.clean.100`, with dots instead of hyphens). This allows you to download each part separately.
This fork also repo... | 360 | [
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AhmedSSoliman/CodeXGLUE-CodeTans | 2022-08-16T20:09:29.000Z | [
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AhmedSSoliman/CoNaLa-Large | 2022-08-14T20:18:08.000Z | [
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kasumi222/busygt | 2022-08-15T02:03:49.000Z | [
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kasumi222/busigt | 2022-09-09T03:23:23.000Z | [
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Pocky/chinese_glue | 2022-08-15T07:24:46.000Z | [
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Pocky/afqmc_public | 2022-08-15T07:36:05.000Z | [
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sepidmnorozy/Uyghur_sentiment | 2022-08-15T17:01:39.000Z | [
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pbwt/public-data-tokenizer | 2022-08-17T11:59:15.000Z | [
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kejian/codeparrot-clean-train-v2-pep8-debug | 2022-08-15T20:43:19.000Z | [
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sepidmnorozy/Basque_sentiment | 2022-08-15T23:05:02.000Z | [
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sepidmnorozy/Bulgarian_sentiment | 2022-08-15T23:06:32.000Z | [
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sepidmnorozy/Cantonese_sentiment | 2022-08-15T23:08:24.000Z | [
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sepidmnorozy/Croatian_sentiment | 2022-08-15T23:11:21.000Z | [
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nbroad/squad_v2-adversarial_qa-duorc-quoref | 2022-08-16T01:00:33.000Z | [
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pauwdanny/indonesian_hoax_news_dataset | 2022-08-16T05:23:14.000Z | [
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pauwdanny/indonesian_hoax_news_ori | 2022-08-16T07:16:45.000Z | [
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sepidmnorozy/Finnish_sentiment | 2022-08-16T09:00:07.000Z | [
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sepidmnorozy/Greek_sentiment | 2022-08-16T09:19:59.000Z | [
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sepidmnorozy/Japanese_sentiment | 2022-08-16T09:24:31.000Z | [
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sepidmnorozy/Norwegian_sentiment | 2022-08-16T09:45:58.000Z | [
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sepidmnorozy/Slovak_sentiment | 2022-08-16T09:58:56.000Z | [
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sepidmnorozy/Spanish_sentiment | 2022-08-16T10:00:12.000Z | [
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sepidmnorozy/Thai_sentiment | 2022-08-16T10:02:08.000Z | [
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EmnaBou/TD_dataset | 2022-11-24T09:54:52.000Z | [
"region:us"
] | EmnaBou | null | null | 0 | 2 | 2022-08-16T10:59:30 | ---
annotations_creators:
- found
language_creators:
- found
language:
- ar
license:
- other
multilinguality:
- monolingual
pretty_name: TD_dataset
task_categories:
- translation
task_ids:
- disfluency-detection
dataset_info:
features:
- name: id
dtype: string
- name: text
dtype: string
config_name:... | 2,652 | [
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sepidmnorozy/Algerian_sentiment | 2022-08-16T12:17:59.000Z | [
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SalehAhmad/Spam-Ham | 2022-08-22T16:42:25.000Z | [
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] | SalehAhmad | null | null | 1 | 2 | 2022-08-16T13:45:51 | Entry not found | 15 | [
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m3/m3_edit_inputs | 2022-09-29T15:32:17.000Z | [
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cjvt/komet | 2022-11-27T16:34:59.000Z | [
"task_categories:token-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:sl",
"license:cc-by-nc-sa-4.0",
"metaphor-classification",
"metaphor-frame-classification",
"multiword-expression-detec... | cjvt | KOMET 1.0 is a hand-annotated corpus for metaphorical expressions which contains about 200,000 words from
Slovene journalistic, fiction and on-line texts.
To annotate metaphors in the corpus an adapted and modified procedure of the MIPVU protocol
(Steen et al., 2010: A method for linguistic metaphor identification:... | @InProceedings{antloga2020komet,
title = {Korpus metafor KOMET 1.0},
author={Antloga, \v{S}pela},
booktitle={Proceedings of the Conference on Language Technologies and Digital Humanities (Student abstracts)},
year={2020},
pages={167-170}
} | 0 | 2 | 2022-08-16T16:34:18 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- sl
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets: []
task_categories:
- token-classification
task_ids: []
pretty_name: KOMET
tags:
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cakiki/roots_tokens | 2022-08-16T18:42:52.000Z | [
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yhavinga/cnn_dailymail_dutch | 2022-08-20T12:39:20.000Z | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:nl",
"license:apache-2.0",
"region:us"
] | yhavinga | CNN/DailyMail non-anonymized summarization dataset, translated to Dutch with ccmatrix.
There are two features:
- article: text of news article, used as the document to be summarized
- highlights: joined text of highlights with <s> and </s> around each
highlight, which is the target summary | @article{DBLP:journals/corr/SeeLM17,
author = {Abigail See and
Peter J. Liu and
Christopher D. Manning},
title = {Get To The Point: Summarization with Pointer-Generator Networks},
journal = {CoRR},
volume = {abs/1704.04368},
year = {2017},
url = {http://a... | 1 | 2 | 2022-08-16T18:25:06 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- nl
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- summarization
task_ids:
- news-articles-summarization
paperswithcode_id: cnn-daily-mail-1
pretty_name: CNN ... | 13,873 | [
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sheikh/layoutlmv3 | 2022-08-30T08:38:36.000Z | [
"region:us"
] | sheikh | 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 | 2022-08-17T07:19:24 | Entry not found | 15 | [
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nanom/refclef | 2022-08-17T08:29:58.000Z | [
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autoevaluate/autoeval-eval-project-emotion-2fbf3953-1266148530 | 2022-08-17T08:19:35.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-17T08:19:07 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- emotion
eval_info:
task: multi_class_classification
model: autoevaluate/multi-class-classification
metrics: []
dataset_name: emotion
dataset_config: default
dataset_split: test
col_mapping:
text: text
target: label
---
# Dataset Card... | 860 | [
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jc42/segm | 2022-08-17T12:20:23.000Z | [
"region:us"
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thebooort/spanish_golden_age_sonnets | 2022-08-17T11:56:34.000Z | [
"license:cc-by-nc-4.0",
"region:us"
] | thebooort | null | null | 1 | 2 | 2022-08-17T11:53:14 | ---
license: cc-by-nc-4.0
---
# This is a WIP repository for some experiments.
# The official version of this dataset can be found at: https://huggingface.co/datasets/biglam/spanish_golden_age_sonnets
# I worked on formating and uploading this dataset for the BIGLAM HACKATON. More info at : https://github.com/bigscie... | 4,930 | [
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autoevaluate/autoeval-eval-project-banking77-77f5d7e6-1267748583 | 2022-08-17T12:20:04.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-17T12:19:16 | ---
type: predictions
tags:
- autotrain
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datasets:
- banking77
eval_info:
task: multi_class_classification
model: nickprock/xlm-roberta-base-banking77-classification
metrics: []
dataset_name: banking77
dataset_config: default
dataset_split: test
col_mapping:
text: text
target: label
--... | 896 | [
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Splend1dchan/text-corpus-sampa2 | 2022-08-19T12:42:37.000Z | [
"region:us"
] | Splend1dchan | null | null | 0 | 2 | 2022-08-17T14:23:09 | Entry not found | 15 | [
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privacy-tech-lab/ppCityTrain | 2022-08-17T19:27:08.000Z | [
"region:us"
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privacy-tech-lab/ppCityVal | 2022-08-17T19:28:39.000Z | [
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hugginglearners/marriage-and-divorce-dataset | 2022-08-17T23:39:17.000Z | [
"license:cc0-1.0",
"region:us"
] | hugginglearners | null | null | 0 | 2 | 2022-08-17T23:39:04 | ---
license:
- cc0-1.0
kaggle_id: hosseinmousavi/marriage-and-divorce-dataset
---
# Dataset Card for Marriage and Divorce Dataset
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](... | 3,404 | [
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cakiki/arxiv-taxonomy | 2022-08-23T13:57:47.000Z | [
"license:cc-by-4.0",
"region:us"
] | cakiki | null | null | 1 | 2 | 2022-08-18T12:19:51 | ---
license: cc-by-4.0
extra_gated_prompt: 'By accessing this dataset, you agree to abide by the BigScience
Ethical Charter. The charter can be found at:
https://hf.co/spaces/bigscience/ethical-charter'
extra_gated_fields:
I have read and agree to abide by the BigScience Ethical Charter: checkbox
---
dataset_nam... | 321 | [
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sepidmnorozy/Urdu_sentiment | 2022-08-18T12:57:51.000Z | [
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simana/textclassificationMNLI | 2022-08-25T10:37:09.000Z | [
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moro23/Hausa-ASR-flags | 2022-09-17T17:38:53.000Z | [
"region:us"
] | moro23 | null | null | 0 | 2 | 2022-08-18T16:11:48 | Entry not found | 15 | [
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jonglees/test1_bb | 2022-08-18T18:51:17.000Z | [
"region:us"
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autoevaluate/autoeval-eval-project-jnlpba-3af3e90f-1276248800 | 2022-08-18T18:35:34.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-18T18:32:57 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jnlpba
eval_info:
task: entity_extraction
model: siddharthtumre/biobert-finetuned-jnlpba
metrics: []
dataset_name: jnlpba
dataset_config: jnlpba
dataset_split: validation
col_mapping:
tokens: tokens
tags: ner_tags
---
# Dataset Card ... | 868 | [
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autoevaluate/autoeval-eval-project-jnlpba-37dc127e-1276948841 | 2022-08-18T20:29:10.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-18T20:26:39 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- jnlpba
eval_info:
task: entity_extraction
model: siddharthtumre/biobert-finetuned-jnlpba-ner
metrics: []
dataset_name: jnlpba
dataset_config: jnlpba
dataset_split: validation
col_mapping:
tokens: tokens
tags: ner_tags
---
# Dataset C... | 876 | [
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bccnf/MeLiDC-shuffled-completo | 2022-08-18T21:46:33.000Z | [
"region:us"
] | bccnf | null | null | 0 | 2 | 2022-08-18T21:34:47 | MeLiDC COM shuffle e SEM retirar categorias menos comuns. | 57 | [
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AllenGeng/ocamlgithub | 2022-08-19T04:04:33.000Z | [
"region:us"
] | AllenGeng | null | null | 0 | 2 | 2022-08-19T03:57:48 | Entry not found | 15 | [
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shreyas-singh/autotrain-data-MedicalTokenClassification | 2022-08-19T06:52:29.000Z | [
"region:us"
] | shreyas-singh | null | null | 0 | 2 | 2022-08-19T06:43:11 | ---
{}
---
# AutoTrain Dataset for project: MedicalTokenClassification
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project MedicalTokenClassification.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from ... | 2,307 | [
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PlanTL-GOB-ES/WikiCAT_en | 2022-11-18T11:50:47.000Z | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:automatically-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:unknown",
"language:en",
"license:cc-by-sa-3.0",
"region:us"
] | PlanTL-GOB-ES | null | null | 0 | 2 | 2022-08-19T07:50:47 | ---
YAML tags:
annotations_creators:
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language_creators:
- found
language:
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license:
- cc-by-sa-3.0
multilinguality:
- monolingual
pretty_name: wikicat_en
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids:
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---
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pbwt/t1 | 2022-08-19T08:29:38.000Z | [
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vblagoje/haystack-pipelines-v2 | 2022-08-19T10:07:14.000Z | [
"region:us"
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brandenchan/haystack-pipelines-no-params | 2022-08-19T10:35:02.000Z | [
"region:us"
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autoevaluate/autoeval-eval-project-emotion-a34266d3-1280948985 | 2022-08-19T11:42:12.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-19T11:36:12 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- emotion
eval_info:
task: multi_class_classification
model: Ahmed007/distilbert-base-uncased-finetuned-emotion
metrics: []
dataset_name: emotion
dataset_config: default
dataset_split: test
col_mapping:
text: text
target: label
---
# D... | 882 | [
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-0.0175628662109375,
-0.054412841796875,
... |
tartuNLP/EstCOPA | 2022-10-31T10:17:40.000Z | [
"task_categories:question-answering",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"multilinguality:translation",
"size_categories:n<1K",
"source_datasets:extended|xcopa",
"language:et",
"licens... | tartuNLP | null | null | 1 | 2 | 2022-08-19T17:54:55 | ---
annotations_creators:
- expert-generated
language:
- et
language_creators:
- expert-generated
- machine-generated
license:
- cc-by-4.0
multilinguality:
- monolingual
- translation
pretty_name: EstCOPA
size_categories:
- n<1K
source_datasets:
- extended|xcopa
tags: []
task_categories:
- question-answering
task_ids: ... | 2,416 | [
[
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0.015472412109375,
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0.037506103515625,
-0.0246124267578125,
-0.06512451171875,
-0.052001953125,
0.01797... |
djaym7/wiki_dialog | 2022-08-20T02:36:29.000Z | [
"region:us"
] | djaym7 | WikiDialog is a large dataset of synthetically generated information-seeking
conversations. Each conversation in the dataset contains two speakers grounded
in a passage from English Wikipedia: one speaker’s utterances consist of exact
sentences from the passage; the other speaker is generated by a large language
model. | @inproceedings{dai2022dialoginpainting,
title={Dialog Inpainting: Turning Documents to Dialogs},
author={Dai, Zhuyun and Chaganty, Arun Tejasvi and Zhao, Vincent and Amini, Aida and Green, Mike and Rashid, Qazi and Guu, Kelvin},
booktitle={International Conference on Machine Learning (ICML)},
year={2022},
org... | 1 | 2 | 2022-08-20T00:56:39 | # I've just ported the dataset from tfds to huggingface. All credits goes to original authors, readme is copied from https://github.com/google-research/dialog-inpainting/blob/main/README.md
Load in huggingface using :
dataset = datasets.load_dataset('djaym7/wiki_dialog','OQ', beam_runner='DirectRunner')
# D... | 8,160 | [
[
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merkalo-ziri/qa_main | 2022-08-24T08:54:01.000Z | [
"task_categories:question-answering",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:rus",
"license:other",
"region:us"
] | merkalo-ziri | null | null | 0 | 2 | 2022-08-22T07:03:04 | ---
annotations_creators:
- found
language:
- rus
language_creators:
- found
license:
- other
multilinguality:
- monolingual
pretty_name: qa_main
size_categories:
- 10K<n<100K
source_datasets:
- original
tags: []
task_categories:
- question-answering
task_ids: []
---
# Dataset Card for [Dataset Name]
## Table of Cont... | 2,751 | [
[
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0.044097900390625,
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-0.051544189453125,
0.004... |
harshitkaran/Hindi | 2022-08-29T11:10:30.000Z | [
"region:us"
] | harshitkaran | null | null | 0 | 2 | 2022-08-22T09:18:49 | Entry not found | 15 | [
[
-0.02142333984375,
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-0.052093505859375,
-0.014984130859375,
-0.060394287109375,
0.0379... |
sil-ai/audio-keyword-spotting | 2023-07-24T18:08:02.000Z | [
"task_categories:automatic-speech-recognition",
"annotations_creators:machine-generated",
"language_creators:other",
"multilinguality:multilingual",
"source_datasets:extended|common_voice",
"source_datasets:MLCommons/ml_spoken_words",
"language:eng",
"language:en",
"language:spa",
"language:es",
... | sil-ai | null | @InProceedings{huggingface:audio-keyword-spotting,
title = {audio-keyword-spotting},
author={Joshua Nemecek
},
year={2022}
} | 0 | 2 | 2022-08-23T13:36:51 | ---
annotations_creators:
- machine-generated
language_creators:
- other
language:
- eng
- en
- spa
- es
- ind
- id
license: cc-by-4.0
multilinguality:
- multilingual
source_datasets:
- extended|common_voice
- MLCommons/ml_spoken_words
task_categories:
- automatic-speech-recognition
task_ids: []
pretty_name: Audio Keyw... | 3,024 | [
[
-0.03765869140625,
-0.036651611328125,
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0.042572021484375,
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-0.081787109375,
-0.051177978515625,
0.0146713... |
teven/code_docstring_corpus | 2022-08-24T20:01:58.000Z | [
"region:us"
] | teven | null | null | 2 | 2 | 2022-08-24T16:04:17 | HF version of Edinburgh-NLP's [Code docstrings corpus](https://github.com/EdinburghNLP/code-docstring-corpus) | 109 | [
[
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0.036712646484375,
-0.001922607421875,
-0.0634765625,
-0.01456451416015625,
0.0157012939... |
allenai/ms2_sparse_mean | 2022-11-24T16:29:28.000Z | [
"task_categories:summarization",
"task_categories:text2text-generation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|other-MS^2",
"source_datasets:extended|other-Cochrane",
"lang... | allenai | null | null | 0 | 2 | 2022-08-26T21:41:58 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|other-MS^2
- extended|other-Cochrane
task_categories:
- summarization
- text2text-generation
paperswithcode_id:... | 1,649 | [
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-0.0310211181640625,
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allenai/ms2_sparse_oracle | 2022-11-24T16:34:37.000Z | [
"task_categories:summarization",
"task_categories:text2text-generation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|other-MS^2",
"source_datasets:extended|other-Cochrane",
"lang... | allenai | null | null | 0 | 2 | 2022-08-26T21:42:33 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|other-MS^2
- extended|other-Cochrane
task_categories:
- summarization
- text2text-generation
paperswithcode_id:... | 1,618 | [
[
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0.027130126953125,
0.0306396484375,
-0.04022216796875,
-0.030364990234375,
-0.050628662109375,... |
mschi/blogspot_raw | 2022-09-13T08:48:23.000Z | [
"task_categories:text-classification",
"task_categories:text-retrieval",
"task_categories:text-generation",
"task_categories:time-series-forecasting",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:en",
"license:mit",
"... | mschi | null | null | 0 | 2 | 2022-08-29T18:19:04 | ---
annotations_creators: []
language:
- en
language_creators:
- other
license:
- mit
multilinguality:
- monolingual
pretty_name: Blogspot_raw_texts
size_categories:
- 1M<n<10M
source_datasets:
- original
tags:
- blogspot
- blogger
- texts
task_categories:
- text-classification
- text-retrieval
- text-generation
- time... | 5,143 | [
[
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0.01841735... |
autoevaluate/autoeval-staging-eval-glue-mrpc-71a11b-14455978 | 2022-08-30T02:40:01.000Z | [
"autotrain",
"evaluation",
"region:us"
] | autoevaluate | null | null | 0 | 2 | 2022-08-30T02:39:36 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- glue
eval_info:
task: natural_language_inference
model: Intel/bert-base-uncased-mrpc
metrics: []
dataset_name: glue
dataset_config: mrpc
dataset_split: validation
col_mapping:
text1: sentence1
text2: sentence2
target: label
---
#... | 855 | [
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0.032684326171875,
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-0.0141448974609375,
-0.041748046875,
-0.00... |
clips/VaccinChatNL | 2023-03-21T15:22:36.000Z | [
"task_categories:text-classification",
"task_ids:intent-classification",
"annotations_creators:expert-generated",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:nl",
"license:cc-by-4.0",
"covid-19",
"FAQ",
"question-a... | clips | null | null | 0 | 2 | 2022-09-02T11:52:00 | ---
annotations_creators:
- expert-generated
language:
- nl
language_creators:
- other
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: VaccinChatNL
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- covid-19
- FAQ
- question-answer pairs
task_categories:
- text-classification
task_ids:
- i... | 6,201 | [
[
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0.0247650146484375,
0.03125,
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0.01... |
mrm8488/go_emotions-es-mt | 2022-10-20T19:23:36.000Z | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:multi-label-classification",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"size_categories:10K<n<100K",
"source_datasets:go_emotions"... | mrm8488 | null | null | 4 | 2 | 2022-09-02T20:59:52 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- es
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
- 10K<n<100K
source_datasets:
- go_emotions
task_categories:
- text-classification
task_ids:
- multi-class-classification
- multi-label-classification
pret... | 631 | [
[
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-0.03839111328125,
-0.0102310... |
indonesian-nlp/librivox-indonesia | 2022-10-24T09:14:51.000Z | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"source_datasets:librivox",
"language:ace",
"language:bal",
"language:bug",
"language:ind",
"language:min",
"language:jav",
"language:sun",
"... | indonesian-nlp | null | \ | 2 | 2 | 2022-09-04T00:13:16 | ---
pretty_name: LibriVox Indonesia 1.0
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- ace
- bal
- bug
- ind
- min
- jav
- sun
license: cc
multilinguality:
- multilingual
size_categories:
ace:
- 1K<n<10K
bal:
- 1K<n<10K
bug:
- 1K<n<10K
ind:
- 1K<n<10K
min:
- 1K<n<... | 5,155 | [
[
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0.008514... |
batterydata/abbreviation_detection | 2022-09-05T16:02:48.000Z | [
"task_categories:token-classification",
"language:en",
"license:apache-2.0",
"arxiv:2204.12061",
"region:us"
] | batterydata | null | null | 0 | 2 | 2022-09-05T15:46:13 | ---
language:
- en
license:
- apache-2.0
task_categories:
- token-classification
pretty_name: 'Abbreviation Detection Dataset for BatteryDataExtractor'
---
# Abbreviation Detection Dataset
## Original Data Source
#### PLOS
I. Zilio, H. Saadany, P. Sharma, D. Kanojia and C. Orasan,
PLOD: An Abbreviation Detection D... | 672 | [
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Mijavier/4classes_custom_dataset_donut | 2022-09-06T10:31:50.000Z | [
"region:us"
] | Mijavier | null | null | 0 | 2 | 2022-09-05T20:18:05 | Entry not found | 15 | [
[
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0.0379... |
poojaruhal/Code-comment-classification | 2022-10-16T11:11:46.000Z | [
"task_categories:text-classification",
"task_ids:intent-classification",
"task_ids:multi-label-classification",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:... | poojaruhal | null | null | 2 | 2 | 2022-09-05T21:25:33 | ---
annotations_creators:
- expert-generated
language:
- en
language_creators:
- crowdsourced
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
pretty_name: 'Code-comment-classification
'
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- '''source code comments'''
- '''java class comments'''
- ... | 13,991 | [
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-0.03372192382812... |
Mijavier/4_classes_custom_dataset_donut | 2022-09-06T10:32:39.000Z | [
"region:us"
] | Mijavier | null | null | 0 | 2 | 2022-09-06T02:09:36 | Entry not found | 15 | [
[
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0.016998291015625,
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-0.014984130859375,
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0.0379... |
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