id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 β | description stringlengths 0 6.67k β | citation stringlengths 0 10.7k β | likes int64 0 3.66k | downloads int64 0 8.89M | created timestamp[us] | card stringlengths 11 977k | card_len int64 11 977k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|
arakesh/deepglobe-2448x2448 | 2022-04-12T17:20:26.000Z | [
"region:us"
] | arakesh | null | null | 0 | 2 | 2022-04-12T16:20:33 | Data source: http://deepglobe.org/
| images | semantic maps | instance ids |
| --- | --- | --- |
| available | available | n/a |
```
dataset-size: 2.0G
resolution: 2448x2448
license: ...
sample-size:
./pix2pixHD-deepglobe-synthesis
βββ test_img [30 entries]
βββ test_label [30 entries]
βββ train_img ... | 371 | [
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arakesh/uavid-15-hq-mixedres | 2022-04-12T17:19:47.000Z | [
"region:us"
] | arakesh | null | null | 1 | 2 | 2022-04-12T17:04:13 | Data source: https://uavid.nl/
| images | semantic maps | instance ids |
| --- | --- | --- |
| available | available | n/a |
```
dataset-size: 6.1G
resolution: mixed (3840x2160, 4096x2060) - because drone cameras are different for different faces.
license: ...
sample-size:
+ train: 200
+ test: 70
``` | 309 | [
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openenvironments/blockgroupvoting | 2022-04-12T21:19:08.000Z | [
"license:mit",
"region:us"
] | openenvironments | null | null | 0 | 2 | 2022-04-12T21:15:18 | ---
license: mit
---
## Problem and Opportunity
In the United States, voting is largely a private matter. A registered voter is given a randomized ballot form or machine to prevent linkage between their voting choices and their identity. This disconnect supports confidence in the election process, but it provides obsta... | 1,883 | [
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huggan/few-shot-universe | 2022-04-12T22:21:06.000Z | [
"region:us"
] | huggan | null | null | 0 | 2 | 2022-04-12T22:20:53 | Entry not found | 15 | [
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Soulaimen/layout | 2022-04-13T01:06:26.000Z | [
"region:us"
] | Soulaimen | null | null | 0 | 2 | 2022-04-13T00:17:51 | Entry not found | 15 | [
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huggan/few-shot-aurora | 2022-04-15T02:42:46.000Z | [
"region:us"
] | huggan | null | null | 1 | 2 | 2022-04-13T00:26:04 | Entry not found | 15 | [
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Splend1dchan/slue-text | 2022-04-13T10:04:41.000Z | [
"region:us"
] | Splend1dchan | null | null | 0 | 2 | 2022-04-13T03:39:05 | Entry not found | 15 | [
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krinal214/tydiqa_Translated | 2022-04-13T11:22:14.000Z | [
"region:us"
] | krinal214 | null | null | 0 | 2 | 2022-04-13T11:22:08 | Entry not found | 15 | [
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krinal214/tydiqa_Translated_v2 | 2022-04-13T13:40:47.000Z | [
"region:us"
] | krinal214 | null | null | 0 | 2 | 2022-04-13T13:40:37 | Entry not found | 15 | [
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javilonso/mex_data_title_with_opinion | 2022-04-13T14:14:41.000Z | [
"region:us"
] | javilonso | null | null | 0 | 2 | 2022-04-13T14:11:07 | Entry not found | 15 | [
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vinaykudari/acled-information-extraction | 2022-05-09T03:40:20.000Z | [
"region:us"
] | vinaykudari | null | null | 0 | 2 | 2022-04-13T22:58:35 | Entry not found | 15 | [
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bullmount/squad_it | 2022-04-14T16:06:54.000Z | [
"region:us"
] | bullmount | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | @InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
} | 0 | 2 | 2022-04-14T06:58:53 | [Needs More Information]
# Dataset Card for squad_it
## 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-inst... | 3,116 | [
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huggingnft/hapeprime | 2022-04-16T17:59:08.000Z | [
"license:mit",
"huggingnft",
"nft",
"huggan",
"gan",
"image",
"images",
"region:us"
] | huggingnft | null | null | 0 | 2 | 2022-04-14T11:40:21 | ---
tags:
- huggingnft
- nft
- huggan
- gan
- image
- images
task:
- unconditional-image-generation
datasets:
- huggingnft/hapeprime
license: mit
---
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of ... | 5,899 | [
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ajanco/pesp | 2022-07-01T16:18:15.000Z | [
"task_categories:other",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"source_datasets:original",
"language:ru",
"license:afl-3.0",
"region:us"
] | ajanco | null | null | 1 | 2 | 2022-04-14T12:18:44 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
- machine-generated
language:
- ru
license:
- afl-3.0
multilinguality:
- monolingual
pretty_name: 'The Pages of Early Soviet Performance (PESP) uses machine learning to
generate multiple datasets of early-Soviet illustrated periodicals... | 7,684 | [
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truongpdd/task2Train | 2022-04-14T13:12:47.000Z | [
"region:us"
] | truongpdd | null | null | 0 | 2 | 2022-04-14T12:52:33 | Entry not found | 15 | [
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truongpdd/task2Test | 2022-04-14T13:28:14.000Z | [
"region:us"
] | truongpdd | null | null | 0 | 2 | 2022-04-14T13:25:25 | Entry not found | 15 | [
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huggingnft/cryptoskulls | 2022-04-16T17:59:08.000Z | [
"license:mit",
"huggingnft",
"nft",
"huggan",
"gan",
"image",
"images",
"region:us"
] | huggingnft | null | null | 0 | 2 | 2022-04-14T14:16:34 | ---
tags:
- huggingnft
- nft
- huggan
- gan
- image
- images
task:
- unconditional-image-generation
datasets:
- huggingnft/cryptoskulls
license: mit
---
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table ... | 5,911 | [
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0.0058174133300... |
daniel-dona/tfg-voice-1 | 2022-04-20T22:21:58.000Z | [
"region:us"
] | daniel-dona | null | null | 1 | 2 | 2022-04-14T15:48:47 | Entry not found | 15 | [
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javilonso/mex_data_title_with_opinion_augmented | 2022-04-14T18:03:14.000Z | [
"region:us"
] | javilonso | null | null | 0 | 2 | 2022-04-14T18:03:03 | Entry not found | 15 | [
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craffel/tasky_or_not | 2022-04-15T01:43:50.000Z | [
"region:us"
] | craffel | This dataset is a collection of prompted examples from P3 and examples from C4.
The C4 examples are labeled "not-task-like" and the P3 examples are
"task-like". Examples were sampled from C4 so that the distribution of example
lengths is similar for C4 and P3 examples. Some datasets from P3 were ignored
because their e... | null | 2 | 2 | 2022-04-14T19:12:55 | Entry not found | 15 | [
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miccull/met_museum | 2022-04-15T04:13:45.000Z | [
"region:us"
] | miccull | null | null | 2 | 2 | 2022-04-14T19:13:28 | Entry not found | 15 | [
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huggingnft/azuki | 2022-04-16T17:59:08.000Z | [
"license:mit",
"huggingnft",
"nft",
"huggan",
"gan",
"image",
"images",
"region:us"
] | huggingnft | null | null | 1 | 2 | 2022-04-14T20:36:39 | ---
tags:
- huggingnft
- nft
- huggan
- gan
- image
- images
task:
- unconditional-image-generation
datasets:
- huggingnft/azuki
license: mit
---
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
## Table of Cont... | 5,883 | [
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huggingnft/mutant-ape-yacht-club | 2022-04-16T17:59:08.000Z | [
"license:mit",
"huggingnft",
"nft",
"huggan",
"gan",
"image",
"images",
"region:us"
] | huggingnft | null | null | 1 | 2 | 2022-04-14T20:51:06 | ---
tags:
- huggingnft
- nft
- huggan
- gan
- image
- images
task:
- unconditional-image-generation
datasets:
- huggingnft/mutant-ape-yacht-club
license: mit
---
# Dataset Card
## Disclaimer
All rights belong to their owners.
Models and datasets can be removed from the site at the request of the copyright holder.
... | 5,947 | [
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Chris1/mutant-ape-yacht-club | 2022-04-15T08:38:39.000Z | [
"region:us"
] | Chris1 | null | null | 0 | 2 | 2022-04-14T21:12:03 | Entry not found | 15 | [
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XiangPan/waimai_10k | 2022-04-14T22:38:31.000Z | [
"region:us"
] | XiangPan | null | null | 1 | 2 | 2022-04-14T22:14:23 | # Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-str... | 2,482 | [
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XiangPan/online_shopping_10_cats_62k | 2022-04-14T22:44:16.000Z | [
"region:us"
] | XiangPan | null | null | 0 | 2 | 2022-04-14T22:40:42 | Entry not found | 15 | [
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bullmount/squad-it-exp | 2022-04-17T18:30:50.000Z | [
"region:us"
] | bullmount | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | @InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
} | 1 | 2 | 2022-04-15T05:03:58 | [Needs More Information]
# Dataset Card for squad_it_exp
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Additional Information](#additional-information)
- [Citation Information](#citation-information)
## Dataset Description
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winryrb3/jcth_trans | 2022-04-15T08:13:35.000Z | [
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nielsr/ade20k-demo | 2022-04-16T08:11:26.000Z | [
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UrukHan/wav2vec2-ru-II | 2022-04-15T07:53:11.000Z | [
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UrukHan/wav2vec2-ru-III | 2022-04-15T07:58:55.000Z | [
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UrukHan/wav2vec2-ru-IV | 2022-04-15T08:04:54.000Z | [
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UrukHan/wav2vec2-ru-V | 2022-04-15T08:09:20.000Z | [
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Chris1/official-moar-by-joan-cornella | 2022-04-15T08:15:30.000Z | [
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Chris1/the-art-of-seasons | 2022-04-15T08:23:27.000Z | [
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Chris1/bored-ape-kennel-club | 2022-04-15T08:54:16.000Z | [
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Chris1/clonex | 2022-04-15T09:48:13.000Z | [
"region:us"
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Chris1/azuki | 2022-04-15T09:54:35.000Z | [
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cestwc/cnn_dailymail_test_outputs | 2022-04-15T16:58:20.000Z | [
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UrukHan/wav2vec2-ru-VI | 2022-04-15T11:04:11.000Z | [
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eliwill/rhetLincoln | 2022-04-15T13:49:39.000Z | [
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polinaeterna/jsonl_test | 2022-04-15T18:11:48.000Z | [
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rasikabh/pile-pii | 2022-05-03T03:19:43.000Z | [
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tomekkorbak/toxicity-debug | 2022-04-15T20:24:50.000Z | [
"region:us"
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XiangPan/CovidQCLS | 2022-05-14T23:02:45.000Z | [
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krinal214/squad_translated_20k_mbart | 2022-04-16T06:20:56.000Z | [
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huseinzol05/Malay-TTS-Yasmin | 2022-04-25T06:21:15.000Z | [
"region:us"
] | huseinzol05 | null | null | 0 | 2 | 2022-04-16T09:28:21 | # Malay-TTS-Yasmin
All notebooks and code related at https://github.com/huseinzol05/malaya-speech/tree/master/data/azure-tts
## Attributes
### Wiki and News
- 24000 sample rate, super clean.
- narrator `ms-MY-YasminNeural`.
- approximate 99.4 hours.
- Texts from Malay Wikipedia and News.
- Sentences between 2 words... | 1,294 | [
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horsbug98/squad_demo | 2022-04-16T15:07:42.000Z | [
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horsbug98/squad_ai4bharat_append | 2022-04-16T17:58:28.000Z | [
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horsbug98/squad_ai4bharat_ben_tel_train | 2022-04-16T21:11:14.000Z | [
"region:us"
] | horsbug98 | null | null | 0 | 2 | 2022-04-16T21:10:51 | Entry not found | 15 | [
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Paercky/autotrain-data-Tweets | 2022-10-25T10:08:35.000Z | [
"task_categories:text-classification",
"language:en",
"region:us"
] | Paercky | null | null | 0 | 2 | 2022-04-16T21:46:11 | ---
language:
- en
task_categories:
- text-classification
---
# AutoTrain Dataset for project: Tweets
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project Tweets.
### Languages
The BCP-47 code for the dataset's language is en.
## Dataset Structure
### Data Instances
A sam... | 1,120 | [
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huseinzol05/Malay-TTS-Osman | 2022-04-17T05:39:21.000Z | [
"region:us"
] | huseinzol05 | null | null | 0 | 2 | 2022-04-16T23:15:43 | # Malay-TTS-Osman
All notebooks and code related at https://github.com/huseinzol05/malaya-speech/tree/master/data/azure-tts
## Attributes
### Wiki and News
- 24000 sample rate, super clean.
- narrator `ms-MY-OsmanNeural`.
- approximate 94.5 hours
- Texts from Malay Wikipedia and News.
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horsbug98/ai4bharat_ben_tel_train | 2022-04-17T16:07:52.000Z | [
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tomekkorbak/pile-toxicity-balanced2-filtered | 2022-04-17T17:38:33.000Z | [
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Pavithra/autopilot-sampled50k-train | 2022-04-17T19:59:00.000Z | [
"region:us"
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Pavithra/autopilot-sampled50k-valid | 2022-04-17T19:59:05.000Z | [
"region:us"
] | Pavithra | null | null | 0 | 2 | 2022-04-17T19:59:02 | Entry not found | 15 | [
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cestwc/shortcut | 2022-04-18T00:46:59.000Z | [
"region:us"
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KevinZ/oLMpics | 2022-04-19T18:08:06.000Z | [
"region:us"
] | KevinZ | This is a set a eight datasets from the paper "oLMpics - On what Language Model Pre-training Captures"
by Alon Talmor et al. | @article{talmor2020olmpics,
title={oLMpics-on what language model pre-training captures},
author={Talmor, Alon and Elazar, Yanai and Goldberg, Yoav and Berant, Jonathan},
journal={Transactions of the Association for Computational Linguistics},
volume={8},
pages={743--758},
year={2020},
publisher={MIT Pres... | 0 | 2 | 2022-04-18T02:14:53 | oLMpics README
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multiIR/ccnews2016-8multi | 2022-04-18T05:23:30.000Z | [
"region:us"
] | multiIR | null | null | 0 | 2 | 2022-04-18T05:06:07 | Entry not found | 15 | [
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stevhliu/dummy | 2023-05-03T18:14:35.000Z | [
"region:us"
] | stevhliu | null | null | 0 | 2 | 2022-04-18T17:01:14 | Entry not found | 15 | [
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SocialGrep/the-reddit-irl-dataset | 2022-07-01T17:52:22.000Z | [
"annotations_creators:lexyr",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"region:us"
] | SocialGrep | Data from the humour subreddits /r/meirl and /r/me_irl, up to Apr 1 2022 | null | 1 | 2 | 2022-04-18T19:18:54 | ---
annotations_creators:
- lexyr
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
source_datasets:
- original
paperswithcode_id: null
---
# Dataset Card for the-reddit-irl-dataset
## Table of Contents
- [Dataset Description](#dataset-d... | 2,926 | [
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Lexi/spanextract | 2022-10-25T10:08:42.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|wikipedia",
"language:en",
"license:cc-by-4.0",
... | Lexi | null | null | 0 | 2 | 2022-04-18T20:06:21 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|wikipedia
task_categories:
- question-answering
task_ids:
- extractive-qa
paperswithcode_id: squad
pretty_name: ... | 5,895 | [
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gagan3012/k2t-training-data | 2022-04-18T23:07:01.000Z | [
"region:us"
] | gagan3012 | null | null | 0 | 2 | 2022-04-18T23:06:38 | Entry not found | 15 | [
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bigscience-historical-texts/Open_Medieval_French | 2022-12-12T08:50:28.000Z | [
"language:fro",
"region:us"
] | bigscience-historical-texts | null | null | 0 | 2 | 2022-04-19T10:49:03 | ---
language:
- fro
---
# Open Medieval French
Source: [https://github.com/OpenMedFr/texts](https://github.com/OpenMedFr/texts) | 128 | [
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mnazari/urmi-assyrian-voice | 2023-09-22T05:31:05.000Z | [
"task_categories:automatic-speech-recognition",
"annotations_creators:Geoffrey Khan",
"annotations_creators:Matthew Nazari",
"language:aii",
"license:cc0-1.0",
"region:us"
] | mnazari | null | null | 0 | 2 | 2022-04-19T14:29:14 | ---
license: cc0-1.0
pretty_name: Assyrian
annotations_creators:
- Geoffrey Khan
- Matthew Nazari
language: aii
size_category: n<1K
task_categories:
- automatic-speech-recognition
---
# π΄ββ οΈ **_This dataset is depricated! Please see NENA Speech_** π΄ββ οΈ
# Dataset Card for urmi_assyrian_voice
## Dataset Description
... | 967 | [
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kniemiec/test | 2022-04-19T20:01:28.000Z | [
"region:us"
] | kniemiec | null | null | 0 | 2 | 2022-04-19T19:57:49 | Entry not found | 15 | [
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kniemiec/sidewalk-imagery-test | 2022-04-19T21:20:53.000Z | [
"region:us"
] | kniemiec | null | null | 0 | 2 | 2022-04-19T21:11:37 | Entry not found | 15 | [
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Lexi/spanextract_no_qg | 2022-04-28T23:25:32.000Z | [
"region:us"
] | Lexi | null | null | 0 | 2 | 2022-04-19T22:45:26 | Entry not found | 15 | [
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aspis/car_background_removal | 2022-04-20T02:45:31.000Z | [
"region:us"
] | aspis | null | null | 0 | 2 | 2022-04-20T02:44:53 | Entry not found | 15 | [
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truongpdd/us_train | 2022-04-20T07:06:36.000Z | [
"region:us"
] | truongpdd | null | null | 0 | 2 | 2022-04-20T06:42:04 | Entry not found | 15 | [
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truongpdd/test_us | 2022-04-20T07:09:15.000Z | [
"region:us"
] | truongpdd | null | null | 0 | 2 | 2022-04-20T07:08:54 | Entry not found | 15 | [
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truongpdd/train_jp | 2022-04-20T07:14:53.000Z | [
"region:us"
] | truongpdd | null | null | 0 | 2 | 2022-04-20T07:14:26 | Entry not found | 15 | [
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truongpdd/test_jp | 2022-04-20T07:16:08.000Z | [
"region:us"
] | truongpdd | null | null | 0 | 2 | 2022-04-20T07:16:02 | Entry not found | 15 | [
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truongpdd/train_es | 2022-04-20T07:20:11.000Z | [
"region:us"
] | truongpdd | null | null | 0 | 2 | 2022-04-20T07:19:56 | Entry not found | 15 | [
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truongpdd/test_es | 2022-04-20T07:27:47.000Z | [
"region:us"
] | truongpdd | null | null | 0 | 2 | 2022-04-20T07:27:43 | Entry not found | 15 | [
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hapandya/sqnnr | 2022-04-20T08:37:40.000Z | [
"region:us"
] | hapandya | Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable. | @article{2016arXiv160605250R,
author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
Konstantin and {Liang}, Percy},
title = "{SQuAD: 100,000+ Questions for Machine Comprehension of Text}",
journal = {arXiv e-prints},
year = 2016,
eid = {arXiv:1606.05250}... | 0 | 2 | 2022-04-20T07:44:56 | Entry not found | 15 | [
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truongpdd/train_valid_jp | 2022-04-20T08:02:54.000Z | [
"region:us"
] | truongpdd | null | null | 0 | 2 | 2022-04-20T08:02:16 | Entry not found | 15 | [
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truongpdd/train_valid_us | 2022-04-20T08:06:15.000Z | [
"region:us"
] | truongpdd | null | null | 0 | 2 | 2022-04-20T08:03:44 | Entry not found | 15 | [
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truongpdd/train_valid_es | 2022-04-20T08:08:32.000Z | [
"region:us"
] | truongpdd | null | null | 0 | 2 | 2022-04-20T08:07:58 | Entry not found | 15 | [
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javilonso/TEST_mex_data_title_with_opinion | 2022-04-20T09:02:30.000Z | [
"region:us"
] | javilonso | null | null | 0 | 2 | 2022-04-20T09:02:26 | Entry not found | 15 | [
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javilonso/PRED_TEST_mex_data_title_with_opinion | 2022-04-20T12:56:16.000Z | [
"region:us"
] | javilonso | null | null | 0 | 2 | 2022-04-20T11:18:06 | Entry not found | 15 | [
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enoriega/GENIA-Term-Corpus | 2022-04-21T00:26:31.000Z | [
"region:us"
] | enoriega | GENIA Term corpus | @InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
} | 0 | 2 | 2022-04-20T18:13:30 | Entry not found | 15 | [
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Ericblancosf/subtechnie2 | 2022-04-20T19:59:40.000Z | [
"region:us"
] | Ericblancosf | null | null | 0 | 2 | 2022-04-20T19:59:12 | Entry not found | 15 | [
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KeithHorgan/TweetClimateAnalysisData | 2022-04-22T22:40:35.000Z | [
"region:us"
] | KeithHorgan | null | null | 0 | 2 | 2022-04-20T20:04:59 | Entry not found | 15 | [
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Kateryna/eva_ru_forum_headlines | 2022-04-21T02:17:55.000Z | [
"region:us"
] | Kateryna | null | null | 0 | 2 | 2022-04-21T02:05:25 | The dataset is a mix of topics from 3 forums: "Hotline", "Kids Psychology and Development", "Everything Else".
It contains topic name (Topic), start post (message) and post unique id (Message_Id). | 197 | [
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cmotions/NL_restaurant_reviews | 2022-04-21T11:20:02.000Z | [
"language:nl",
"text-classification",
"sentiment-analysis",
"region:us"
] | cmotions | null | null | 1 | 2 | 2022-04-21T09:48:54 | ---
language:
- nl
tags:
- text-classification
- sentiment-analysis
datasets:
- train
- test
- validation
---
## Dataset overview
This is a dataset that contains restaurant reviews gathered in 2019 using a webscraping tool in Python. Reviews on restaurant visits and restaurant features were collected for Dutch rest... | 1,965 | [
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AntoineLB/FrozenLakeNotFrozen | 2022-04-26T07:40:20.000Z | [
"region:us"
] | AntoineLB | null | null | 0 | 2 | 2022-04-21T09:53:07 | # Dataset Card for [FrozenLake-v1] with slippery = False
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yanekyuk/wikikey-full | 2022-04-21T13:30:55.000Z | [
"region:us"
] | yanekyuk | null | null | 0 | 2 | 2022-04-21T13:30:44 | Entry not found | 15 | [
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-0.014984130859375,
-0.060394287109375,
0.0379... |
yanekyuk/wikikey-small | 2022-04-21T13:43:42.000Z | [
"region:us"
] | yanekyuk | null | null | 0 | 2 | 2022-04-21T13:41:49 | Entry not found | 15 | [
[
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yanekyuk/wikikey-large | 2022-04-21T13:43:22.000Z | [
"region:us"
] | yanekyuk | null | null | 0 | 2 | 2022-04-21T13:43:12 | Entry not found | 15 | [
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yanekyuk/wikikey-medium | 2022-04-21T13:43:32.000Z | [
"region:us"
] | yanekyuk | null | null | 0 | 2 | 2022-04-21T13:43:23 | Entry not found | 15 | [
[
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tsantosh7/COVID-19_Annotations | 2022-04-21T14:03:06.000Z | [
"license:cc",
"region:us"
] | tsantosh7 | null | null | 0 | 2 | 2022-04-21T13:57:27 | ---
license: cc
---
Named Entity Recognition for COVID-19 Bio Entities
The dataset was taken from https://github.com/davidcampos/covid19-corpus
Dataset
The dataset was then split into several datasets each one representing one entity. Namely, Disorder, Species, Chemical or Drug, Gene and Protein, Enzyme, Anatomy, Bio... | 796 | [
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-0.02978515625,
-0.0276336669921875,
0.041442... |
eleldar/sub_train-normal_tests-datasets | 2022-06-16T11:19:47.000Z | [
"region:us"
] | eleldar | null | null | 0 | 2 | 2022-04-21T15:25:32 | Dataset for API: https://github.com/eleldar/Translation
Test English-Russian dataset:
```
DatasetDict({
normal: Dataset({
features: ['en', 'ru'],
num_rows: 2009
})
short: Dataset({
features: ['en', 'ru'],
num_rows: 2664
})
train: Dataset({
features: ['en', 'r... | 851 | [
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0.033355712... |
GEM-submissions/ratishsp__seqplan-sportsett__1650556902 | 2022-04-21T16:01:45.000Z | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | GEM-submissions | null | null | 0 | 2 | 2022-04-21T16:01:43 | ---
benchmark: gem
type: prediction
submission_name: SeqPlan-SportSett
tags:
- evaluation
- benchmark
---
# GEM Submission
Submission name: SeqPlan-SportSett
| 160 | [
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patrickvonplaten/librispeech_asr_self_contained | 2022-10-24T17:48:37.000Z | [
"task_categories:automatic-speech-recognition",
"task_categories:audio-classification",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:e... | patrickvonplaten | 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 | 2022-04-21T17:06:19 | ---
pretty_name: LibriSpeech
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
paperswithcode_id: librispeech-1
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- automatic-speech-reco... | 7,992 | [
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0.01262... |
truongpdd/dataset_clf | 2022-04-27T10:08:53.000Z | [
"region:us"
] | truongpdd | null | null | 0 | 2 | 2022-04-21T23:38:46 | Entry not found | 15 | [
[
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0.0379... |
multiIR/testing_ko | 2022-04-22T02:30:17.000Z | [
"region:us"
] | multiIR | null | null | 0 | 2 | 2022-04-22T02:29:53 | Entry not found | 15 | [
[
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0.016998291015625,
-0.052093505859375,
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0.0379... |
AntoineLB/FrozenLakeFrozen | 2022-04-22T07:57:15.000Z | [
"region:us"
] | AntoineLB | null | null | 0 | 2 | 2022-04-22T07:06:34 | # Dataset Card for [FrozenLake-v1] with slippery = True
| 56 | [
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bigscience-data/roots_es_uncorpus | 2022-12-12T10:59:42.000Z | [
"language:es",
"license:cc-by-4.0",
"region:us"
] | bigscience-data | null | null | 0 | 2 | 2022-04-22T10:28:27 | ---
language: es
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
--... | 1,146 | [
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0.0... |
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