sha stringlengths 40 40 | text stringlengths 1 13.4M | id stringlengths 2 117 | tags listlengths 1 7.91k | created_at stringlengths 25 25 | metadata stringlengths 2 875k | last_modified stringlengths 25 25 | arxiv listlengths 0 25 | languages listlengths 0 7.91k | tags_str stringlengths 17 159k | text_str stringlengths 1 447k | text_lists listlengths 0 352 | processed_texts listlengths 1 353 | tokens_length listlengths 1 353 | input_texts listlengths 1 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d3d4c6fc780dc8d0de62aeef28a38ba2fbed3606 | | images | semantic maps | instance ids |
| --- | --- | --- |
| available | available | available |
```
dataset-size: 107Mb
resolution: 1024x1024
license: ...
sample-size:
./pix2pixHD_person_synthesis
├── test_img [10 entries]
├── test_inst [10 entries]
├── test_label [10 entries]
├── train_img ... | arakesh/PennFudanPedestrian-1024x512 | [
"region:us"
] | 2022-04-12T14:58:09+00:00 | {} | 2022-04-12T15:14:33+00:00 | [] | [] | TAGS
#region-us
| images: available, semantic maps: available, instance ids: available
| [] | [
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b46b232f33c35877e75081f948a89357ea4f1016 | 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
├── test_img [30 entries]
├── test_label [30 entries]
├── train_img ... | arakesh/deepglobe-2448x2448 | [
"region:us"
] | 2022-04-12T15:20:33+00:00 | {} | 2022-04-12T16:20:26+00:00 | [] | [] | TAGS
#region-us
| Data source: URL
images: available, semantic maps: available, instance ids: n/a
| [] | [
"TAGS\n#region-us \n"
] | [
6
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bdf451283a48e53f34fea37a8ad1c475175308cf | 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
``` | arakesh/uavid-15-hq-mixedres | [
"region:us"
] | 2022-04-12T16:04:13+00:00 | {} | 2022-04-12T16:19:47+00:00 | [] | [] | TAGS
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| Data source: URL
images: available, semantic maps: available, instance ids: n/a
| [] | [
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e5981976381334c87f5917b4743d749726a9e21b | ## 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 obstacles to an election's... | openenvironments/blockgroupvoting | [
"license:mit",
"region:us"
] | 2022-04-12T20:15:18+00:00 | {"license": "mit"} | 2022-04-12T20:19:08+00:00 | [] | [] | TAGS
#license-mit #region-us
| ## 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 obstacles to an election's... | [
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58bafe5544a7b2eb3303c7d2ff3ea282a6446ba4 |
# Dataset Card for HatemojiCheck
## 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... | HannahRoseKirk/HatemojiCheck | [
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|
# Dataset Card for HatemojiCheck
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
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- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
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17509b6678c3206ce7bfa43107fdadf53f3d06f7 |
# Dataset Card for HatemojiBuild
## 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... | HannahRoseKirk/HatemojiBuild | [
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|
# Dataset Card for HatemojiBuild
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
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37d117aedb1c469ebf2adc217dae40ff31a97a23 | # hotpotQA-Extended (Annotated)
A version of [HotpotQA-Extended](https://huggingface.co/datasets/ghomasHudson/hotpotExtended) with extra annotations about what part of the input contains the answer. | ghomasHudson/hotpotExtendedAno | [
"region:us"
] | 2022-04-13T09:55:51+00:00 | {} | 2022-04-13T10:01:17+00:00 | [] | [] | TAGS
#region-us
| # hotpotQA-Extended (Annotated)
A version of HotpotQA-Extended with extra annotations about what part of the input contains the answer. | [
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3cdedf844922ab40393d46d4c7f81c596e1c6d45 | This a subset of "ceyda/smithsonian_butterflies" dataset with additional processing done to train the "ceyda/butterfly_gan" model.
The preprocessing includes:
- Adding "sim_score" to images with CLIP model using "pretty butterfly","one butterfly","butterfly with open wings","colorful butterfly"
- Removing butterflies... | huggan/smithsonian_butterflies_subset | [
"region:us"
] | 2022-04-13T10:36:00+00:00 | {} | 2022-04-16T07:02:36+00:00 | [] | [] | TAGS
#region-us
| This a subset of "ceyda/smithsonian_butterflies" dataset with additional processing done to train the "ceyda/butterfly_gan" model.
The preprocessing includes:
- Adding "sim_score" to images with CLIP model using "pretty butterfly","one butterfly","butterfly with open wings","colorful butterfly"
- Removing butterflies... | [] | [
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161fc9fce16d7e942e0ed14046c1e98956437061 | [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... | bullmount/squad_it | [
"region:us"
] | 2022-04-14T05:58:53+00:00 | {} | 2022-04-14T15:06:54+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for squad_it
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and Sensitive Information
- Consid... | [
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4b51f4dae6b6ad746445f05059d6793c1f6ea988 |
# KP20k Benchmark Dataset for Keyphrase Generation
## About
KP20k is a dataset for benchmarking keyphrase extraction and generation models.
The data is composed of 570 809 abstracts and their associated titles from scientific articles.
Details about the dataset can be found in the original paper:
- Meng et al 2017.... | taln-ls2n/kp20k | [
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| KP20k Benchmark Dataset for Keyphrase Generation
================================================
About
-----
KP20k is a dataset for benchmarking keyphrase extraction and generation models.
The data is composed of 570 809 abstracts and their associated titles from scientific articles.
Details about the dataset ca... | [] | [
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] |
5eb9bca5c7dc850b2a42df268b78b88190ab2466 |
# PET: A NEW DATASET FOR PROCESS EXTRACTION FROM TEXT
# Dataset Card for PET
## 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](#... | patriziobellan/PET | [
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"license:mit",
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"arxiv:2203.04860",
"region:us"
] | 2022-04-14T08:35:11+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["n<1K"], "task_categories": ["token-classification"], "pretty_name": "PET", "tags": ["Business Process Management", "NLP", "ML", "DL"]} | 2023-07-05T13:03:24+00:00 | [
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|
# PET: A NEW DATASET FOR PROCESS EXTRACTION FROM TEXT
# Dataset Card for PET
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rat... | [
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c4a3428883440ffabcba3afe9ed7ee94ffd13abb |
# 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 Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | huggingnft/hapeprime | [
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"image",
"images",
"region:us"
] | 2022-04-14T10:40:21+00:00 | {"license": "mit", "tags": ["huggingnft", "nft", "huggan", "gan", "image", "images"], "task": ["unconditional-image-generation"], "datasets": ["huggingnft/hapeprime"]} | 2022-04-16T16:59:08+00:00 | [] | [] | TAGS
#license-mit #huggingnft #nft #huggan #gan #image #images #region-us
|
# 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 Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- How to use
- Dataset Structure
- Data Fields
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61faf004bd4a26daa27ec3127bc55e5c60829cbe |
# Pages of Early Soviet Performance (PESP)
This dataset was created as part of the [Pages of Early Soviet Performance](https://cdh.princeton.edu/projects/pages-early-soviet-performance/) project at Princeton and provides text and image research data from a previously scanned [collection of illustrated periodicals](ht... | ajanco/pesp | [
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|
# Pages of Early Soviet Performance (PESP)
This dataset was created as part of the Pages of Early Soviet Performance project at Princeton and provides text and image research data from a previously scanned collection of illustrated periodicals held by Princeton University's Slavic Collections. The project was a partn... | [
"# Pages of Early Soviet Performance (PESP)\n\nThis dataset was created as part of the Pages of Early Soviet Performance project at Princeton and provides text and image research data from a previously scanned collection of illustrated periodicals held by Princeton University's Slavic Collections. The project was a... | [
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ce994f5c4a86e3fb2db2f045dbc600575e2e6fb8 |
# Dataset Card for Conceptual Captions
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Preprocessing](#dataset-preprocessing)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-stru... | conceptual_captions | [
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# Dataset Card for Conceptual Captions
## Table of Contents
- Dataset Description
- Dataset Summary
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- Supported Tasks
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- Dataset Structure
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9c3742c2e077f17b9e6544910cfc4e23ae81db9d |
# 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 Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | huggingnft/cryptoskulls | [
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# 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 Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
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e57e10cf1f793a854486c7dc040ac18d59595199 | # Dataset for project: kor_hate_eval(APEACH)
## Sample Code
<a href="https://colab.research.google.com/drive/1djd0fuoMYIaf7VCHaLQIziJi4_yBJruP#scrollTo=VPR24ysr5Q7k"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="ba... | jason9693/APEACH | [
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| Dataset for project: kor\_hate\_eval(APEACH)
============================================
![](URL
Sample Code
-----------
<a href="URL src="URL alt="base"/>
Dataset Descritpion
-------------------
Korean Hate Speech Evaluation Datasets : trained with BEEP! and evaluate with APEACH
* Repository: Korean HateS... | [
"### Languages\n\n\nko-KR\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
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716a41b2ec2e921f24b9b1df564a07f8643989a4 | # AutoTrain Dataset for project: kor_hate_eval
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project kor_hate_eval.
### Languages
The BCP-47 code for the dataset's language is unk.
## Dataset Structure
### Data Instances
A sample from this dataset looks as follows:
```jso... | jason9693/autotrain-data-kor_hate_eval | [
"task_categories:text-classification",
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] | 2022-04-14T14:42:28+00:00 | {"task_categories": ["text-classification"]} | 2022-04-14T14:44:07+00:00 | [] | [] | TAGS
#task_categories-text-classification #region-us
| AutoTrain Dataset for project: kor\_hate\_eval
==============================================
Dataset Descritpion
-------------------
This dataset has been automatically processed by AutoTrain for project kor\_hate\_eval.
### Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
-----... | [
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ab7ad9330ec63b9652e8f091c76dfe4c549ba606 |
# 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 Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | huggingnft/azuki | [
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# 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.
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- Dataset Summary
- Supported Tasks and Leaderboards
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8495090e5604bf7070abe230cb59090e24ab25ae |
# 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 Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-... | huggingnft/mutant-ape-yacht-club | [
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# 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.
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dbb125403842b8924d864f09f1c0eb357bd57435 | # Dataset Card for [Dataset Name]
## Table of Contents
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- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
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# Configuration | awacke1/data.csv | [
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966a1e77847f3e22de5fb961665331767082d571 | [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
... | bullmount/squad-it-exp | [
"region:us"
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|
# Dataset Card for squad_it_exp
## Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Additional Information
- Citation Information
## Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
### Dataset Summary
SQuAD-it-exp is a dataset derived fro... | [
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4942ad98569e62b710c547f39f916724088ef520 |
### Dataset Summary
This dataset is extracted from Climate Fever dataset (https://www.sustainablefinance.uzh.ch/en/research/climate-fever.html), pre-processed and ready to train and evaluate.
The training objective is a text classification task - given a claim and evidence, predict if claim is related to evidence. | mwong/fever-claim-related | [
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|
### Dataset Summary
This dataset is extracted from Climate Fever dataset (URL pre-processed and ready to train and evaluate.
The training objective is a text classification task - given a claim and evidence, predict if claim is related to evidence. | [
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4c366c1882d27123f4aa640b824a29998f1c642d |
### Dataset Summary
This dataset is extracted from Climate Fever dataset (https://www.sustainablefinance.uzh.ch/en/research/climate-fever.html), pre-processed and, ready to train and evaluate.
The training objective is a text classification task - given a claim and evidence, predict if claim is related to evidence. | mwong/climate-claim-related | [
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"license:cc-by-sa-3.0",
"license:gpl-3.0",
... | 2022-04-15T06:09:18+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0", "gpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|climate_fever"], "task_categories": ["text-classification"], "task_ids": ["fac... | 2022-10-25T09:06:59+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|climate_fever #language-English #license-cc-by-sa-3.0 #license-gpl-3.0 #region-us
|
### Dataset Summary
This dataset is extracted from Climate Fever dataset (URL pre-processed and, ready to train and evaluate.
The training objective is a text classification task - given a claim and evidence, predict if claim is related to evidence. | [
"### Dataset Summary\nThis dataset is extracted from Climate Fever dataset (URL pre-processed and, ready to train and evaluate.\nThe training objective is a text classification task - given a claim and evidence, predict if claim is related to evidence."
] | [
"TAGS\n#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|climate_fever #language-English #license-cc-by-sa-3.0 #license-gpl-3.0 #region-us \n",
"### Datas... | [
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"passage: TAGS\n#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|climate_fever #language-English #license-cc-by-sa-3.0 #license-gpl-3.0 #region-us \n### Da... |
3d6d4da7cc2b491448d172eebf397560fdded10a |
The reddit_keywords.tsv file contains about 170k single word embeddings (scraped from reddit, filtering from an initial set of ~700k based on a minimum occurrence threshold) in this format:
```tsv
temporary -0.276235,-0.181357,-0.325729,0.129826,0.016490,-0.230246,-0.039997,-0.990187,-0.014679,-0.044081,-0.120046,-0.2... | rocca/clip-keyphrase-embeddings | [
"license:apache-2.0",
"region:us"
] | 2022-04-15T06:25:59+00:00 | {"license": "apache-2.0"} | 2022-04-15T07:44:51+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
The reddit_keywords.tsv file contains about 170k single word embeddings (scraped from reddit, filtering from an initial set of ~700k based on a minimum occurrence threshold) in this format:
| [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
14
] | [
"passage: TAGS\n#license-apache-2.0 #region-us \n"
] |
cac1d6c26bc0c5266661019473ac0ffb33bcf9bc |
# Dataset Card for C4
## Table of Contents
- [Dataset Card for C4](#dataset-card-for-c4)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](... | Peihao/test-dateset | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:100M<n<1B",
"source_datasets:original",
"language:en"... | 2022-04-15T06:45:58+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["en"], "license": ["odc-by"], "multilinguality": ["multilingual"], "size_categories": ["100M<n<1B"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "masked-la... | 2022-10-25T09:08:29+00:00 | [
"1910.10683"
] | [
"en"
] | TAGS
#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-multilingual #size_categories-100M<n<1B #source_datasets-original #language-English #license-odc-by #arxiv-1910.10... | Dataset Card for C4
===================
Table of Contents
-----------------
* Dataset Card for C4
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
- Data Fields
- Data Splits
+ Dataset Creation
- Curatio... | [
"### Dataset Summary\n\n\nA colossal, cleaned version of Common Crawl's web crawl corpus. Based on Common Crawl dataset: \"URL\".\n\n\nThis is the version prepared by AllenAI, hosted at this address: URL\n\n\nIt comes in four variants:\n\n\n* 'en': 305GB in JSON format\n* 'en.noblocklist': 380GB in JSON format\n* '... | [
"TAGS\n#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-multilingual #size_categories-100M<n<1B #source_datasets-original #language-English #license-odc-by #arxiv-1... | [
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"passage: TAGS\n#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-multilingual #size_categories-100M<n<1B #source_datasets-original #language-English #license-odc-by... |
56a5a8b0efca4529b0891c6a3cdfb35c2309dfc4 |
# Dataset Card for Conceptual 12M
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Preprocessing](#dataset-preprocessing)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure... | conceptual_12m | [
"task_categories:image-to-text",
"task_ids:image-captioning",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:en",
"license:other",
"arxiv:2102.08981",
"region:us"
] | 2022-04-15T07:06:58+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original"], "task_categories": ["image-to-text"], "task_ids": ["image-captioning"], "paperswithcode_id": "cc12m", "pre... | 2024-01-18T09:31:48+00:00 | [
"2102.08981"
] | [
"en"
] | TAGS
#task_categories-image-to-text #task_ids-image-captioning #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #language-English #license-other #arxiv-2102.08981 #region-us
|
# Dataset Card for Conceptual 12M
## Table of Contents
- Dataset Description
- Dataset Summary
- Dataset Preprocessing
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- Personal and... | [
"# Dataset Card for Conceptual 12M",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Dataset Preprocessing\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotat... | [
"TAGS\n#task_categories-image-to-text #task_ids-image-captioning #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #language-English #license-other #arxiv-2102.08981 #region-us \n",
"# Dataset Card for Conceptual 12M",
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"passage: TAGS\n#task_categories-image-to-text #task_ids-image-captioning #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10M<n<100M #source_datasets-original #language-English #license-other #arxiv-2102.08981 #region-us \n# Dataset Card for Conceptual 12M## Table ... |
35d54d53495778c09cabd7f86019cac79e578aed | FFHQ 70000张png图片
链接：https://pan.baidu.com/s/1XDfTKWOhtwAAQQJ0KBU4RQ
提取码：bowj
## Flickr-Faces-HQ Dataset (FFHQ)
![Format PNG](https://img.shields.io/badge/forma... | student/FFHQ | [
"region:us"
] | 2022-04-16T04:21:25+00:00 | {} | 2022-04-16T05:24:36+00:00 | [] | [] | TAGS
#region-us
| FFHQ 70000张png图片
链接：URL
提取码：bowj
Flickr-Faces-HQ Dataset (FFHQ)
------------------------------
!Python 3.6
!License CC
!Format PNG
!Resolution 1024×1024
!Images 70000
!Teaser image
Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
c31370fdaed32ac5f64fed5ee6d7dd6397f5e47a | # 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... | huseinzol05/Malay-TTS-Yasmin | [
"region:us"
] | 2022-04-16T08:28:21+00:00 | {} | 2022-04-25T05:21:15+00:00 | [] | [] | TAGS
#region-us
| # Malay-TTS-Yasmin
All notebooks and code related at URL
## 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 and 20 words.
### Parliament
- 24000 sample rate, super clean.
- ... | [
"# Malay-TTS-Yasmin\n\nAll notebooks and code related at URL",
"## Attributes",
"### Wiki and News\n\n- 24000 sample rate, super clean.\n- narrator 'ms-MY-YasminNeural'.\n- approximate 99.4 hours.\n- Texts from Malay Wikipedia and News.\n- Sentences between 2 words and 20 words.",
"### Parliament\n\n- 24000 s... | [
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"## Attributes",
"### Wiki and News\n\n- 24000 sample rate, super clean.\n- narrator 'ms-MY-YasminNeural'.\n- approximate 99.4 hours.\n- Texts from Malay Wikipedia and News.\n- Sentences between 2 words and 20 words.",
"##... | [
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"passage: TAGS\n#region-us \n# Malay-TTS-Yasmin\n\nAll notebooks and code related at URL## Attributes### Wiki and News\n\n- 24000 sample rate, super clean.\n- narrator 'ms-MY-YasminNeural'.\n- approximate 99.4 hours.\n- Texts from Malay Wikipedia and News.\n- Sentences between 2 words and 20 words.### Parliament\n\... |
61ff60cb76c1fabef90bc8013587f0fb6a4fa142 | # Dataset Card for Top Quark Tagging
## Table of Contents
- [Dataset Card for Top Quark Tagging](#dataset-card-for-top-quark-tagging)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported... | dl4phys/top_tagging | [
"license:cc-by-4.0",
"arxiv:1902.09914",
"region:us"
] | 2022-04-16T08:53:34+00:00 | {"license": "cc-by-4.0"} | 2022-04-18T06:43:02+00:00 | [
"1902.09914"
] | [] | TAGS
#license-cc-by-4.0 #arxiv-1902.09914 #region-us
| Dataset Card for Top Quark Tagging
==================================
Table of Contents
-----------------
* Dataset Card for Top Quark Tagging
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
+ Dataset Structure
- Data Instances
- Data Fields
- Data Splits
... | [
"### Dataset Summary\n\n\nTop Quark Tagging is a dataset of Monte Carlo simulated events produced by proton-proton collisions at the Large Hadron Collider. The top-quark signal and mixed quark-gluon background jets are produced with Pythia8 with its default tune for a center-of-mass energy of 14 TeV. Multiple inter... | [
"TAGS\n#license-cc-by-4.0 #arxiv-1902.09914 #region-us \n",
"### Dataset Summary\n\n\nTop Quark Tagging is a dataset of Monte Carlo simulated events produced by proton-proton collisions at the Large Hadron Collider. The top-quark signal and mixed quark-gluon background jets are produced with Pythia8 with its defa... | [
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"passage: TAGS\n#license-cc-by-4.0 #arxiv-1902.09914 #region-us \n### Dataset Summary\n\n\nTop Quark Tagging is a dataset of Monte Carlo simulated events produced by proton-proton collisions at the Large Hadron Collider. The top-quark signal and mixed quark-gluon background jets are produced with Pythia8 with its d... |
8a852d571fd838da91f2beb879f489f382d1462b |
# PLOD: An Abbreviation Detection Dataset
This is the repository for PLOD Dataset published at LREC 2022. The dataset can help build sequence labelling models for the task Abbreviation Detection.
### Dataset
We provide two variants of our dataset - Filtered and Unfiltered. They are described in our paper here.
1... | surrey-nlp/PLOD-filtered | [
"task_categories:token-classification",
"annotations_creators:Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:cc-by-sa-4.0",
... | 2022-04-16T13:50:15+00:00 | {"annotations_creators": ["Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan"], "language_creators": ["found"], "language": ["en"], "license": "cc-by-sa-4.0", "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["tok... | 2023-01-14T23:30:12+00:00 | [
"2204.12061"
] | [
"en"
] | TAGS
#task_categories-token-classification #annotations_creators-Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-4.0 #abbreviation-detection ... | PLOD: An Abbreviation Detection Dataset
=======================================
This is the repository for PLOD Dataset published at LREC 2022. The dataset can help build sequence labelling models for the task Abbreviation Detection.
### Dataset
We provide two variants of our dataset - Filtered and Unfiltered. Th... | [
"### Dataset\n\n\nWe provide two variants of our dataset - Filtered and Unfiltered. They are described in our paper here.\n\n\n1. The Filtered version can be accessed via Huggingface Datasets here and a CONLL format is present here.\n2. The Unfiltered version can be accessed via Huggingface Datasets here and a CONL... | [
"TAGS\n#task_categories-token-classification #annotations_creators-Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-4.0 #abbreviation-dete... | [
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9caa35b94fe9c220e003d581e3b37e55012993b5 |
# PLOD: An Abbreviation Detection Dataset
This is the repository for PLOD Dataset published at LREC 2022. The dataset can help build sequence labelling models for the task Abbreviation Detection.
### Dataset
We provide two variants of our dataset - Filtered and Unfiltered. They are described in our paper here.
1... | surrey-nlp/PLOD-unfiltered | [
"task_categories:token-classification",
"annotations_creators:Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:cc-by-sa-4.0",
... | 2022-04-16T17:49:49+00:00 | {"annotations_creators": ["Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["t... | 2023-01-14T23:31:04+00:00 | [
"2204.12061"
] | [
"en"
] | TAGS
#task_categories-token-classification #annotations_creators-Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-4.0 #abbreviation-detection ... | PLOD: An Abbreviation Detection Dataset
=======================================
This is the repository for PLOD Dataset published at LREC 2022. The dataset can help build sequence labelling models for the task Abbreviation Detection.
### Dataset
We provide two variants of our dataset - Filtered and Unfiltered. Th... | [
"### Dataset\n\n\nWe provide two variants of our dataset - Filtered and Unfiltered. They are described in our paper here.\n\n\n1. The Filtered version can be accessed via Huggingface Datasets here and a CONLL format is present here.\n2. The Unfiltered version can be accessed via Huggingface Datasets here and a CONL... | [
"TAGS\n#task_categories-token-classification #annotations_creators-Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-4.0 #abbreviation-dete... | [
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1bb2f5816caf50002da4e7bd5ec845fec22eb4cd | # 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 sample from this dataset looks as follows:
```json
[
{
"te... | Paercky/autotrain-data-Tweets | [
"task_categories:text-classification",
"language:en",
"region:us"
] | 2022-04-16T20:46:11+00:00 | {"language": ["en"], "task_categories": ["text-classification"]} | 2022-10-25T09:08:35+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #language-English #region-us
| 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 Inst... | [
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the following fields (also called \"features\"):",
"### Dataset Splits\n\n\nThis da... | [
"TAGS\n#task_categories-text-classification #language-English #region-us \n",
"### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from this dataset looks as follows:",
"### Dataset Fields\n\n\nThe dataset has the f... | [
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"passage: TAGS\n#task_categories-text-classification #language-English #region-us \n### Languages\n\n\nThe BCP-47 code for the dataset's language is en.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from this dataset looks as follows:### Dataset Fields\n\n\nThe dataset has the following ... |
a4d324be68761bd614dd3be85ccaac497001fabb | # 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.
- Sentences between 2 words an... | huseinzol05/Malay-TTS-Osman | [
"region:us"
] | 2022-04-16T22:15:43+00:00 | {} | 2022-04-17T04:39:21+00:00 | [] | [] | TAGS
#region-us
| # Malay-TTS-Osman
All notebooks and code related at URL
## Attributes
### Wiki and News
- 24000 sample rate, super clean.
- narrator 'ms-MY-OsmanNeural'.
- approximate 94.5 hours
- Texts from Malay Wikipedia and News.
- Sentences between 2 words and 20 words.
### Parliament
- 24000 sample rate, super clean.
- nar... | [
"# Malay-TTS-Osman\n\nAll notebooks and code related at URL",
"## Attributes",
"### Wiki and News\n\n- 24000 sample rate, super clean.\n- narrator 'ms-MY-OsmanNeural'.\n- approximate 94.5 hours\n- Texts from Malay Wikipedia and News.\n- Sentences between 2 words and 20 words.",
"### Parliament\n\n- 24000 samp... | [
"TAGS\n#region-us \n",
"# Malay-TTS-Osman\n\nAll notebooks and code related at URL",
"## Attributes",
"### Wiki and News\n\n- 24000 sample rate, super clean.\n- narrator 'ms-MY-OsmanNeural'.\n- approximate 94.5 hours\n- Texts from Malay Wikipedia and News.\n- Sentences between 2 words and 20 words.",
"### P... | [
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"passage: TAGS\n#region-us \n# Malay-TTS-Osman\n\nAll notebooks and code related at URL## Attributes### Wiki and News\n\n- 24000 sample rate, super clean.\n- narrator 'ms-MY-OsmanNeural'.\n- approximate 94.5 hours\n- Texts from Malay Wikipedia and News.\n- Sentences between 2 words and 20 words.### Parliament\n\n- ... |
7092c27872e919f31d0496fb8b9c47bd2cba3f6c |
# Dataset Card for "IndicXNLI"
## Table of Contents
- [Dataset Card for "IndicXNLI"](#dataset-card-for-indicxnli)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderb... | Divyanshu/indicxnli | [
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"source_datasets:original",
"language:as",
"language:bn",
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"lan... | 2022-04-17T16:48:10+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["as", "bn", "gu", "hi", "kn", "ml", "mr", "or", "pa", "ta", "te"], "license": ["cc0-1.0"], "multilinguality": ["multilingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["... | 2022-10-06T14:26:00+00:00 | [
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============================
Table of Contents
-----------------
* Dataset Card for "IndicXNLI"
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
- Data Fields
- Data Splits
Da... | [
"### Dataset Summary\n\n\nINDICXNLI is similar to existing\nXNLI dataset in shape/form, but focusses on Indic language family. INDICXNLI include NLI\ndata for eleven major Indic languages that includes\nAssamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’),\nMalayalam (‘ml’), Marathi (‘mr’), Odia (‘or’),\nPunjabi (‘pa’),... | [
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539315f30d0cfd1aa5765a65a4dcd6d93d168d20 | ዛጎል ዜና- መንግስት አምስት ሺህ የሚጠጉ እስረኞችን “ተመራቂዎች” በሚል መፍታቱን ይፋ ባደረገበት ቀን በተመሳሳይ አምቦ ተማሪዎች ተቃውሞ ማሰማታቸው ተሰማ። ተማሪዎቹ የአስቸኳይ አዋጁን በመጣስ ” መረራ ይፈታ” እያሉ ተቃውሞ መጀመራቸው ነው የተሰማው። ከትምህርት ቤት ወደ ትምህርት ቤት የሰፋው ተቃውሞ ብህይወት ላይ አደጋ ባያስከትልም በንብረት ላይ ግን ጉዳት አድርሷል። መኪና ሲቃጠል ያዩ የአይን ምስክሮች ተቃውሞውን በጀመሩት ላይም ሆነ ዘግይተው በተቀላቀሉት ላይ እንደ ቀደሞው ያለ የሃይል እርምጃ አል... | surafelkindu/Amharic_corpus | [
"license:mit",
"region:us"
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#license-mit #region-us
| ዛጎል ዜና- መንግስት አምስት ሺህ የሚጠጉ እስረኞችን “ተመራቂዎች” በሚል መፍታቱን ይፋ ባደረገበት ቀን በተመሳሳይ አምቦ ተማሪዎች ተቃውሞ ማሰማታቸው ተሰማ። ተማሪዎቹ የአስቸኳይ አዋጁን በመጣስ ” መረራ ይፈታ” እያሉ ተቃውሞ መጀመራቸው ነው የተሰማው። ከትምህርት ቤት ወደ ትምህርት ቤት የሰፋው ተቃውሞ ብህይወት ላይ አደጋ ባያስከትልም በንብረት ላይ ግን ጉዳት አድርሷል። መኪና ሲቃጠል ያዩ የአይን ምስክሮች ተቃውሞውን በጀመሩት ላይም ሆነ ዘግይተው በተቀላቀሉት ላይ እንደ ቀደሞው ያለ የሃይል እርምጃ አል... | [] | [
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7cffe68258589932209921818b9f9e56324850e3 | oLMpics README
| KevinZ/oLMpics | [
"region:us"
] | 2022-04-18T01:14:53+00:00 | {} | 2022-04-19T17:08:06+00:00 | [] | [] | TAGS
#region-us
| oLMpics README
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976943672aec93d411e31de606fc103e4aa6073b | 鸟类400.物种图像分类
58388训练集，2000测试测试集，2000验证图像224X224X3 jpg格式
400种鸟类的数据集。58388张训练图像、2000张测试图像（每种5张图像）和2000张验证图像（每种5张图像）。这是一个非常高质量的数据集，每张图像中只有一只鸟，鸟通常占据图像中至少50%的像素。因此，即使是一个中等复杂的模型也能在90%的范围内实现训练和测试精度。
所有图像均为jpg格式的224 X 224 X 3彩色图像。数据集包括列车集、测试集和验证集。每套包含400个子目录，每种鸟类一个。如果使用Keras ImageDataGenerator，则数据结构非常方便。flowfromdirectory创建列车... | student/birds_400 | [
"region:us"
] | 2022-04-18T02:13:37+00:00 | {} | 2022-04-18T02:15:55+00:00 | [] | [] | TAGS
#region-us
| 鸟类400.物种图像分类
58388训练集，2000测试测试集，2000验证图像224X224X3 jpg格式
400种鸟类的数据集。58388张训练图像、2000张测试图像（每种5张图像）和2000张验证图像（每种5张图像）。这是一个非常高质量的数据集，每张图像中只有一只鸟，鸟通常占据图像中至少50%的像素。因此，即使是一个中等复杂的模型也能在90%的范围内实现训练和测试精度。
所有图像均为jpg格式的224 X 224 X 3彩色图像。数据集包括列车集、测试集和验证集。每套包含400个子目录，每种鸟类一个。如果使用Keras ImageDataGenerator，则数据结构非常方便。flowfromdirectory创建列车... | [] | [
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254dd05ce1dd064b434436fb491836b3b489fd9b | CUB200-2011数据集介绍：
该数据集由加州理工学院再2010年提出的细粒度数据集，也是目前细粒度分类识别研究的基准图像数据集。
该数据集共有11788张鸟类图像，包含200类鸟类子类，其中训练数据集有5994张图像，测试集有5794张图像，每张图像均提供了图像类标记信息，图像中鸟的bounding box，鸟的关键part信息，以及鸟类的属性信息，数据集如下图所示。
下载的数据集中，包含了如下文件：
bounding_boxes.txt；classes.txt；image_class_labels.txt； images.txt； train_test_split.txt.
其中，... | student/CUB_birds_200_2011 | [
"region:us"
] | 2022-04-18T02:19:41+00:00 | {} | 2022-04-18T02:21:03+00:00 | [] | [] | TAGS
#region-us
| CUB200-2011数据集介绍：
该数据集由加州理工学院再2010年提出的细粒度数据集，也是目前细粒度分类识别研究的基准图像数据集。
该数据集共有11788张鸟类图像，包含200类鸟类子类，其中训练数据集有5994张图像，测试集有5794张图像，每张图像均提供了图像类标记信息，图像中鸟的bounding box，鸟的关键part信息，以及鸟类的属性信息，数据集如下图所示。
下载的数据集中，包含了如下文件：
bounding_boxes.txt；URL；image_class_labels.txt； URL； train_test_split.txt.
其中，bounding_boxes.... | [
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a125caa5d8ea8d27952f7fbe1b7f187ddf6a39bb |
# Citation
If you use the dataset, please cite the paper:
@article{10.1007/s10579-021-09568-y,
year = {2022},
title = {{Abstractive text summarization and new large-scale datasets for agglutinative languages Turkish and Hungarian}},
author = {Baykara, Batuhan and Güngör, Tunga},
journal = ... | batubayk/TR-News | [
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"task_categories:text-generation",
"task_categories:text2text-generation",
"size_categories:100K<n<1M",
"language:tr",
"region:us"
] | 2022-04-18T16:23:02+00:00 | {"language": ["tr"], "size_categories": ["100K<n<1M"], "task_categories": ["summarization", "text-classification", "text-generation", "text2text-generation"], "pretty_name": "TR-News"} | 2023-03-04T22:39:35+00:00 | [] | [
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|
If you use the dataset, please cite the paper:
@article{10.1007/s10579-021-09568-y,
year = {2022},
title = {{Abstractive text summarization and new large-scale datasets for agglutinative languages Turkish and Hungarian}},
author = {Baykara, Batuhan and Güngör, Tunga},
journal = {Language R... | [] | [
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] |
08d5a00cd764b7116bbc8422818fdfa57c7b413b |
# Citation
If you use the dataset, please cite the paper:
@article{10.1007/s10579-021-09568-y,
year = {2022},
title = {{Abstractive text summarization and new large-scale datasets for agglutinative languages Turkish and Hungarian}},
author = {Baykara, Batuhan and Güngör, Tunga},
journal = ... | batubayk/HU-News | [
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"language:hu",
"region:us"
] | 2022-04-18T16:23:27+00:00 | {"language": ["hu"], "size_categories": ["100K<n<1M"], "task_categories": ["summarization", "text-classification", "text-generation", "text2text-generation"], "pretty_name": "HU-News"} | 2023-03-04T22:40:26+00:00 | [] | [
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#task_categories-summarization #task_categories-text-classification #task_categories-text-generation #task_categories-text2text-generation #size_categories-100K<n<1M #language-Hungarian #region-us
|
If you use the dataset, please cite the paper:
@article{10.1007/s10579-021-09568-y,
year = {2022},
title = {{Abstractive text summarization and new large-scale datasets for agglutinative languages Turkish and Hungarian}},
author = {Baykara, Batuhan and Güngör, Tunga},
journal = {Language R... | [] | [
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] |
13e24921a5d4e04d6ab4bf21fada26c530e3db1f | # Tweet Emotion Intensity Dataset
## Papers:
* Emotion Intensities in Tweets. Saif M. Mohammad and Felipe Bravo-Marquez. In Proceedings of the sixth joint conference on lexical and computational semantics (*Sem), August 2017, Vancouver, Canada.
* WASSA-2017 Shared Task on Emotion Intensity. Saif M. Mohammad and Fe... | stepp1/tweet_emotion_intensity | [
"region:us"
] | 2022-04-18T16:32:33+00:00 | {} | 2022-04-18T19:49:56+00:00 | [] | [] | TAGS
#region-us
| # Tweet Emotion Intensity Dataset
## Papers:
* Emotion Intensities in Tweets. Saif M. Mohammad and Felipe Bravo-Marquez. In Proceedings of the sixth joint conference on lexical and computational semantics (*Sem), August 2017, Vancouver, Canada.
* WASSA-2017 Shared Task on Emotion Intensity. Saif M. Mohammad and Fe... | [
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e078606bba4ff4735ffac758f8fb5e9d9045e4ba |
# Dataset Card for the-reddit-irl-dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#dat... | SocialGrep/the-reddit-irl-dataset | [
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"license:cc-by-4.0",
"region:us"
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|
# Dataset Card for the-reddit-irl-dataset
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
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4544b33bcc8077384d02b422f91b5723b890f53c |
# Dataset Card for "squad"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
... | Lexi/spanextract | [
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... | 2022-04-18T19:06:21+00:00 | {"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-q... | 2022-10-25T09:08:42+00:00 | [] | [
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| Dataset Card for "squad"
========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
... | [
"### Dataset Summary\n\n\nStanford 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 u... | [
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f549503ef55b76632d02538edb6987ea9f96f82c |
Paper: [Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revision](https://arxiv.org/abs/2204.03685)
Authors: Wanyu Du*, Zae Myung Kim*, Vipul Raheja, Dhruv Kumar, Dongyeop Kang
Github repo: https://github.com/vipulraheja/IteraTeR
Watch our system demonstration below!
[![demo](htt... | wanyu/IteraTeR_v2 | [
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|
Paper: Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revision
Authors: Wanyu Du*, Zae Myung Kim*, Vipul Raheja, Dhruv Kumar, Dongyeop Kang
Github repo: URL
Watch our system demonstration below!
![demo](URL
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77396f1031920d1c116ec6d63ac397ff6aa492d3 |
## Dataset Description
- **Homepage:** [Cat and Dog](https://www.kaggle.com/datasets/tongpython/cat-and-dog)
- **Download Size** 217.30 MiB
- **Generated Size** 198.89 MiB
- **Total Size** 416.20 MiB
### Dataset Summary
A dataset from [kaggle](https://www.kaggle.com/datasets/tongpython/cat-and-dog) with duplicate da... | Bingsu/Cat_and_Dog | [
"task_categories:image-classification",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc0-1.0",
"region:us"
] | 2022-04-19T01:23:06+00:00 | {"language": ["en"], "license": ["cc0-1.0"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["image-classification"], "pretty_name": "Cat and Dog", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "labels", "dtype": {"class_label": {"names": {"0": "cat", ... | 2023-01-26T10:48:25+00:00 | [] | [
"en"
] | TAGS
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| Dataset Description
-------------------
* Homepage: Cat and Dog
* Download Size 217.30 MiB
* Generated Size 198.89 MiB
* Total Size 416.20 MiB
### Dataset Summary
A dataset from kaggle with duplicate data removed.
### Data Fields
The data instances have the following fields:
* 'image': A 'PIL.Image.Image' o... | [
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48fdfd7ab1dbc1a62e4e8a8b9f4c360259d51d3c |
## Dataset Description
- **Homepage:** [Korean Single Speaker Speech Dataset](https://www.kaggle.com/datasets/bryanpark/korean-single-speaker-speech-dataset)
- **Repository:** [Kyubyong/kss](https://github.com/Kyubyong/kss)
- **Paper:** N/A
- **Leaderboard:** N/A
- **Point of Contact:** N/A
# Description of the orig... | Bingsu/KSS_Dataset | [
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] | 2022-04-19T05:59:21+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["ko"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-to-speech"], "task_ids": [], "pretty_name": "Kor... | 2022-07-01T23:10:10+00:00 | [] | [
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| Dataset Description
-------------------
* Homepage: Korean Single Speaker Speech Dataset
* Repository: Kyubyong/kss
* Paper: N/A
* Leaderboard: N/A
* Point of Contact: N/A
Description of the original author
==================================
### KSS Dataset: Korean Single speaker Speech Dataset
KSS Dataset is d... | [
"### KSS Dataset: Korean Single speaker Speech Dataset\n\n\nKSS Dataset is designed for the Korean text-to-speech task. It consists of audio files recorded by a professional female voice actoress and their aligned text extracted from my books. As a copyright holder, by courtesy of the publishers, I release this dat... | [
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199e4ae37915137c555b1765c01477c216287d34 |
# FLEURS
## Dataset Description
- **Fine-Tuning script:** [pytorch/speech-recognition](https://github.com/huggingface/transformers/tree/main/examples/pytorch/speech-recognition)
- **Paper:** [FLEURS: Few-shot Learning Evaluation of
Universal Representations of Speech](https://arxiv.org/abs/2205.12446)
- **Total amou... | google/fleurs | [
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... | 2022-04-19T09:25:58+00:00 | {"annotations_creators": ["expert-generated", "crowdsourced", "machine-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["afr", "amh", "ara", "asm", "ast", "azj", "bel", "ben", "bos", "cat", "ceb", "cmn", "ces", "cym", "dan", "deu", "ell", "eng", "spa", "est", "fas", "ful", "fin", "tg... | 2023-02-07T20:51:01+00:00 | [
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"... | TAGS
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# FLEURS
## Dataset Description
- Fine-Tuning script: pytorch/speech-recognition
- Paper: FLEURS: Few-shot Learning Evaluation of
Universal Representations of Speech
- Total amount of disk used: ca. 350 GB
Fleurs is the speech version of the FLoRes machine translation benchmark.
We use 2009 n-way parallel sentence... | [
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d55ad9aa644a3b7cea98e5b0dc408792eb3369e0 | # Open Medieval French
Source: [https://github.com/OpenMedFr/texts](https://github.com/OpenMedFr/texts) | bigscience-historical-texts/Open_Medieval_French | [
"language:fro",
"region:us"
] | 2022-04-19T09:49:03+00:00 | {"language": ["fro"]} | 2022-12-12T08:50:28+00:00 | [] | [
"fro"
] | TAGS
#language-Old French (842-ca. 1400) #region-us
| # Open Medieval French
Source: URL | [
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40abf43ceb2f64198e063e981f46d58ef07c304d |
# Wikinews-fr-100 Benchmark Dataset for Keyphrase Generation
## About
Wikinews-fr-100 is a dataset for benchmarking keyphrase extraction and generation models.
The dataset is composed of 100 news articles in French collected from [wikinews](https://fr.wikinews.org/wiki/Accueil).
Keyphrases were annotated by readers ... | taln-ls2n/wikinews-fr-100 | [
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"region:us"
] | 2022-04-19T10:55:39+00:00 | {"annotations_creators": ["unknown"], "language_creators": ["unknown"], "language": ["fr"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "task_categories": ["text-mining", "text-generation"], "task_ids": ["keyphrase-generation", "keyphrase-extraction"], "pretty_name": "Wiki... | 2022-09-23T06:38:18+00:00 | [] | [
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#task_categories-text-generation #annotations_creators-unknown #language_creators-unknown #multilinguality-monolingual #size_categories-n<1K #language-French #license-cc-by-4.0 #region-us
| Wikinews-fr-100 Benchmark Dataset for Keyphrase Generation
==========================================================
About
-----
Wikinews-fr-100 is a dataset for benchmarking keyphrase extraction and generation models.
The dataset is composed of 100 news articles in French collected from wikinews.
Keyphrases were ... | [] | [
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] |
986fd2f2865cc142a9177e27e11b5585bd0c885a |
# TALN-Archives Benchmark Dataset for Keyphrase Generation
## About
TALN-Archives is a dataset for benchmarking keyphrase extraction and generation models.
The dataset is composed of 1207 abstracts of scientific papers in French collected from the [TALN Archives](http://talnarchives.atala.org/).
Keyphrases were ann... | taln-ls2n/taln-archives | [
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] | 2022-04-19T12:45:33+00:00 | {"annotations_creators": ["unknown"], "language_creators": ["unknown"], "language": ["fr", "en"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["1K<n<10K"], "task_categories": ["text-mining", "text-generation"], "task_ids": ["keyphrase-generation", "keyphrase-extraction"], "pretty_n... | 2022-09-23T06:58:07+00:00 | [] | [
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| TALN-Archives Benchmark Dataset for Keyphrase Generation
========================================================
About
-----
TALN-Archives is a dataset for benchmarking keyphrase extraction and generation models.
The dataset is composed of 1207 abstracts of scientific papers in French collected from the TALN Archi... | [] | [
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] |
803ef9f038eb29517b85712d839188e2daf7629e |
# 🏴☠️ **_This dataset is depricated! Please see NENA Speech_** 🏴☠️
# Dataset Card for urmi_assyrian_voice
## Dataset Description
The Urmi Assyrian Voice dataset is parsed from the research and fieldwork of [Geoffrey Khan](https://cambridge.academia.edu/GeoffreyKhan) which is made public through the [North-Easte... | mnazari/urmi-assyrian-voice | [
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] | 2022-04-19T13:29:14+00:00 | {"annotations_creators": ["Geoffrey Khan", "Matthew Nazari"], "language": "aii", "license": "cc0-1.0", "task_categories": ["automatic-speech-recognition"], "pretty_name": "Assyrian", "size_category": "n<1K"} | 2023-09-22T04:31:05+00:00 | [] | [
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#task_categories-automatic-speech-recognition #annotations_creators-Geoffrey Khan #annotations_creators-Matthew Nazari #language-Assyrian Neo-Aramaic #license-cc0-1.0 #region-us
|
# ️ _This dataset is depricated! Please see NENA Speech_ ️
# Dataset Card for urmi_assyrian_voice
## Dataset Description
The Urmi Assyrian Voice dataset is parsed from the research and fieldwork of Geoffrey Khan which is made public through the North-Eastern Neo-Aramaic Database Project. Annotation corrections as... | [
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47054de4458827ac3fb5136f5f953ddf3deb3c53 | # Dataset Card for Multi-Document
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instance... | arka0821/multi_document_summarization | [
"task_categories:summarization",
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| Dataset Card for Multi-Document
===============================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+... | [
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4265bc69c85c8f1d21b223a8e6cc61cdf57fda95 |
# Dataset Card for ID Word2Phoneme
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-instances)
- [Data Splits](#data-splits)
... | bookbot/id_word2phoneme | [
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] | 2022-04-20T06:37:29+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["id", "ms"], "source_datasets": ["original"], "task_categories": ["text2text-generation"], "task_ids": [], "pretty_name": "ID Word2Phoneme"} | 2023-03-20T10:00:22+00:00 | [] | [
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| Dataset Card for ID Word2Phoneme
================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Additional Information
+ Citation Information
Dataset Description
-------------------
... | [
"### Dataset Summary\n\n\nOriginally a Malay/Indonesian Lexicon retrieved from ipa-dict. We removed the accented letters (because Indonesian graphemes do not use accents), separated homographs, and removed backslashes in phonemes -- resulting in a word-to-phoneme dataset.",
"### Languages\n\n\n* Indonesian\n* Mal... | [
"TAGS\n#task_categories-text2text-generation #annotations_creators-no-annotation #language_creators-found #source_datasets-original #language-Indonesian #language-Malay (macrolanguage) #region-us \n",
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a064f3d34057b27eb27a12bf81165f5fad9a09f1 |
# Dataset Card for "CrossSum"
## Table of Contents
- [Dataset Card Creation Guide](#dataset-card-creation-guide)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboa... | csebuetnlp/CrossSum | [
"task_categories:summarization",
"task_ids:news-articles-summarization",
"annotations_creators:found",
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"source_datasets:original",
"language:am",
"language:ar",
"language:az",
"language:bn",
"language:my",
... | 2022-04-20T07:27:10+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["am", "ar", "az", "bn", "my", "zh", "en", "fr", "gu", "ha", "hi", "ig", "id", "ja", "rn", "ko", "ky", "mr", "ne", "om", "ps", "fa", "pcm", "pt", "pa", "ru", "gd", "sr", "si", "so", "es", "sw", "ta", "te", "th", "ti", "tr", "uk", "ur", "uz"... | 2023-12-16T13:27:47+00:00 | [
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"uz... | TAGS
#task_categories-summarization #task_ids-news-articles-summarization #annotations_creators-found #language_creators-found #multilinguality-multilingual #size_categories-1M<n<10M #source_datasets-original #language-Amharic #language-Arabic #language-Azerbaijani #language-Bengali #language-Burmese #language-Chinese ... | Dataset Card for "CrossSum"
===========================
Table of Contents
-----------------
* Dataset Card Creation Guide
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
+ Dataset Structure
- Data Instances
- Data Fields
- Data Splits
+ Data... | [
"### Dataset Summary\n\n\nWe present CrossSum, a large-scale dataset\ncomprising 1.70 million cross-lingual article summary samples in 1500+ language-pairs\nconstituting 45 languages. We use the multilingual XL-Sum dataset and align identical\narticles written in different languages via crosslingual retrieval using... | [
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1f93eb3df343353f9b0d0f9bc724ab9473643bfe |
### Dataset Summary
This dataset is extracted from Climate Text dataset (https://www.sustainablefinance.uzh.ch/en/research/climate-fever/climatext.html), pre-processed and, ready to evaluate.
The evaluation objective is a text classification task - given a climate related claim and evidence, predict if claim is relate... | mwong/climatetext-claim-related-evaluation | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:crowdsourced",
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"language:en",
"license:cc-by-sa-3.0",
"license:gpl-3.0",
"... | 2022-04-20T11:00:50+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0", "gpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|climate_text"], "task_categories": ["text-classification"], "task_ids": ["fact... | 2022-10-25T09:08:44+00:00 | [] | [
"en"
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|
### Dataset Summary
This dataset is extracted from Climate Text dataset (URL pre-processed and, ready to evaluate.
The evaluation objective is a text classification task - given a climate related claim and evidence, predict if claim is related to evidence. | [
"### Dataset Summary\nThis dataset is extracted from Climate Text dataset (URL pre-processed and, ready to evaluate.\nThe evaluation objective is a text classification task - given a climate related claim and evidence, predict if claim is related to evidence."
] | [
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72cac22487c265b0b27b424f561f0f3659c5746d |
### Dataset Summary
This dataset is extracted from Climate Text dataset (https://www.sustainablefinance.uzh.ch/en/research/climate-fever/climatext.html), pre-processed and, ready to evaluate.
The evaluation objective is a text classification task - given a climate related claim and evidence, predict if evidence is rel... | mwong/climatetext-evidence-related-evaluation | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|climate_text",
"language:en",
"license:cc-by-sa-3.0",
"license:gpl-3.0",
"... | 2022-04-20T11:18:14+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0", "gpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|climate_text"], "task_categories": ["text-classification"], "task_ids": ["fact... | 2022-10-25T09:08:46+00:00 | [] | [
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|
### Dataset Summary
This dataset is extracted from Climate Text dataset (URL pre-processed and, ready to evaluate.
The evaluation objective is a text classification task - given a climate related claim and evidence, predict if evidence is related to claim. | [
"### Dataset Summary\nThis dataset is extracted from Climate Text dataset (URL pre-processed and, ready to evaluate.\nThe evaluation objective is a text classification task - given a climate related claim and evidence, predict if evidence is related to claim."
] | [
"TAGS\n#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|climate_text #language-English #license-cc-by-sa-3.0 #license-gpl-3.0 #region-us \n",
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61c95318fd71c55b6ba355d76253254615f387ec |
# Dataset Card for WANLI
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
... | alisawuffles/WANLI | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
"annotations_creators:crowdsourced",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"arxiv:2201.05955",
"region:us... | 2022-04-20T23:57:25+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["other"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["natural-language-inference"], "pretty_... | 2022-11-21T17:31:56+00:00 | [
"2201.05955"
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"en"
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| Dataset Card for WANLI
======================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
... | [
"### Dataset Summary\n\n\nWANLI (Worker-AI Collaboration for NLI) is a collection of 108K English sentence pairs for the task of natural language inference (NLI).\nEach example is created by first identifying a \"pocket\" of examples in MultiNLI (Williams et al., 2018) that share a challenging reasoning pattern, th... | [
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7a13ba87386bd8c9083ff858944a5f516e43f939 |
# Dataset Card for Corpus of Diverse Styles
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
## Disclaimer
I am not the original author of the paper that presents the Corpus of Diverse Styles. I uploaded the dataset... | billray110/corpus-of-diverse-styles | [
"task_categories:text-classification",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"arxiv:2010.05700",
"region:us"
] | 2022-04-21T00:13:59+00:00 | {"annotations_creators": [], "language_creators": ["found"], "language": [], "license": [], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "Corpus of Diverse Styles"} | 2022-10-21T23:52:53+00:00 | [
"2010.05700"
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#task_categories-text-classification #language_creators-found #multilinguality-monolingual #size_categories-10M<n<100M #arxiv-2010.05700 #region-us
|
# Dataset Card for Corpus of Diverse Styles
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
## Disclaimer
I am not the original author of the paper that presents the Corpus of Diverse Styles. I uploaded the dataset to HuggingFace as a convenience.
## Dataset Description
- Home... | [
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eb798af6f91a5305eb0f18aeb15378cc3c91b421 | 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). | Kateryna/eva_ru_forum_headlines | [
"region:us"
] | 2022-04-21T01:05:25+00:00 | {} | 2022-04-21T01:17:55+00:00 | [] | [] | TAGS
#region-us
| 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). | [] | [
"TAGS\n#region-us \n"
] | [
6
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"passage: TAGS\n#region-us \n"
] |
ef485238c1494962da9f8896bfacbcf3a0747c73 |
## 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 restaurants.
The dataset is formatted using the 🤗[DatasetDict](https://huggingface.co/docs/datasets/index) format a... | cmotions/NL_restaurant_reviews | [
"language:nl",
"text-classification",
"sentiment-analysis",
"region:us"
] | 2022-04-21T08:48:54+00:00 | {"language": ["nl"], "tags": ["text-classification", "sentiment-analysis"], "datasets": ["train", "test", "validation"]} | 2022-04-21T10:20:02+00:00 | [] | [
"nl"
] | TAGS
#language-Dutch #text-classification #sentiment-analysis #region-us
|
## 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 restaurants.
The dataset is formatted using the DatasetDict format and contains the following indices:
- train, 1166... | [
"## Dataset overview\nThis 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 restaurants. \nThe dataset is formatted using the DatasetDict format and contains the following indices:\n- trai... | [
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ec205ab74f5244e1cf50c06c200832cd50493546 | # Dataset Card for [FrozenLake-v1] with slippery = False
| AntoineLB/FrozenLakeNotFrozen | [
"region:us"
] | 2022-04-21T08:53:07+00:00 | {} | 2022-04-26T06:40:20+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for [FrozenLake-v1] with slippery = False
| [
"# Dataset Card for [FrozenLake-v1] with slippery = False"
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d96c3ca050b694c3150bb53e6c6431f2144ce15a |
### Dataset Summary
This dataset is extracted from Climate Text dataset (https://www.sustainablefinance.uzh.ch/en/research/climate-fever/climatext.html), pre-processed and, ready to evaluate.
The evaluation objective is a text classification task - given a claim and climate related evidence, predict if claim is relate... | mwong/climatetext-climate_evidence-claim-related-evaluation | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|climate_text",
"language:en",
"license:cc-by-sa-3.0",
"license:gpl-3.0",
"... | 2022-04-21T08:55:30+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0", "gpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|climate_text"], "task_categories": ["text-classification"], "task_ids": ["fact... | 2022-10-25T09:08:48+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|climate_text #language-English #license-cc-by-sa-3.0 #license-gpl-3.0 #region-us
|
### Dataset Summary
This dataset is extracted from Climate Text dataset (URL pre-processed and, ready to evaluate.
The evaluation objective is a text classification task - given a claim and climate related evidence, predict if claim is related to evidence. | [
"### Dataset Summary\nThis dataset is extracted from Climate Text dataset (URL pre-processed and, ready to evaluate.\nThe evaluation objective is a text classification task - given a claim and climate related evidence, predict if claim is related to evidence."
] | [
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54b4fc98b56081e4ed5bfe6f76f68c8f52d4fc98 |
### Dataset Summary
This dataset is extracted from Climate Text dataset (https://www.sustainablefinance.uzh.ch/en/research/climate-fever/climatext.html), pre-processed and, ready to evaluate.
The evaluation objective is a text classification task - given a claim and climate related evidence, predict if evidence is rel... | mwong/climatetext-claim-climate_evidence-related-evaluation | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
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"source_datasets:extended|climate_text",
"language:en",
"license:cc-by-sa-3.0",
"license:gpl-3.0",
"... | 2022-04-21T09:07:08+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0", "gpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|climate_text"], "task_categories": ["text-classification"], "task_ids": ["fact... | 2022-10-25T09:08:50+00:00 | [] | [
"en"
] | TAGS
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|
### Dataset Summary
This dataset is extracted from Climate Text dataset (URL pre-processed and, ready to evaluate.
The evaluation objective is a text classification task - given a claim and climate related evidence, predict if evidence is related to claim. | [
"### Dataset Summary\nThis dataset is extracted from Climate Text dataset (URL pre-processed and, ready to evaluate.\nThe evaluation objective is a text classification task - given a claim and climate related evidence, predict if evidence is related to claim."
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4f0fab91e806940ab0e95f573193eb79f5052c70 |
### Dataset Summary
This dataset is extracted from Climate Text dataset (https://www.sustainablefinance.uzh.ch/en/research/climate-fever/climatext.html), pre-processed and, ready to evaluate.
The evaluation objective is a text classification task - given a climate related evidence and claim, predict if pair is related... | mwong/climatetext-evidence-claim-pair-related-evaluation | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:crowdsourced",
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"multilinguality:monolingual",
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"license:cc-by-sa-3.0",
"license:gpl-3.0",
"... | 2022-04-21T09:16:15+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0", "gpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|climate_text"], "task_categories": ["text-classification"], "task_ids": ["fact... | 2022-10-25T09:08:53+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|climate_text #language-English #license-cc-by-sa-3.0 #license-gpl-3.0 #region-us
|
### Dataset Summary
This dataset is extracted from Climate Text dataset (URL pre-processed and, ready to evaluate.
The evaluation objective is a text classification task - given a climate related evidence and claim, predict if pair is related. | [
"### Dataset Summary\nThis dataset is extracted from Climate Text dataset (URL pre-processed and, ready to evaluate.\nThe evaluation objective is a text classification task - given a climate related evidence and claim, predict if pair is related."
] | [
"TAGS\n#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|climate_text #language-English #license-cc-by-sa-3.0 #license-gpl-3.0 #region-us \n",
"### Datase... | [
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0961ace6703a76cb598eb4fcdb7f92227aa3c4b3 |
### Dataset Summary
This dataset is extracted from Climate Text dataset (https://www.sustainablefinance.uzh.ch/en/research/climate-fever/climatext.html), pre-processed and, ready to evaluate.
The evaluation objective is a text classification task - given a claim and climate related evidence, predict if pair is related... | mwong/climatetext-claim-evidence-pair-related-evaluation | [
"task_categories:text-classification",
"task_ids:fact-checking",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|climate_text",
"language:en",
"license:cc-by-sa-3.0",
"license:gpl-3.0",
"... | 2022-04-21T09:26:24+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0", "gpl-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|climate_text"], "task_categories": ["text-classification"], "task_ids": ["fact... | 2022-10-25T09:08:55+00:00 | [] | [
"en"
] | TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|climate_text #language-English #license-cc-by-sa-3.0 #license-gpl-3.0 #region-us
|
### Dataset Summary
This dataset is extracted from Climate Text dataset (URL pre-processed and, ready to evaluate.
The evaluation objective is a text classification task - given a claim and climate related evidence, predict if pair is related. | [
"### Dataset Summary\nThis dataset is extracted from Climate Text dataset (URL pre-processed and, ready to evaluate.\nThe evaluation objective is a text classification task - given a claim and climate related evidence, predict if pair is related."
] | [
"TAGS\n#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|climate_text #language-English #license-cc-by-sa-3.0 #license-gpl-3.0 #region-us \n",
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74ddfcfd50ea96a8ebc1456bf5d8e63eb840a084 |
# Fashion-Mnist-C (Corrupted Fashion-Mnist)
A corrupted Fashion-MNIST benchmark for testing out-of-distribution robustness of computer vision models, which were trained on Fashion-Mmnist.
[Fashion-Mnist](https://github.com/zalandoresearch/fashion-mnist) is a drop-in replacement for MNIST and Fashion-Mnist-C is a cor... | mweiss/fashion_mnist_corrupted | [
"task_categories:image-classification",
"annotations_creators:expert-generated",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|fashion_mnist",
"language:en",
"license:mit",
"ar... | 2022-04-21T10:34:02+00:00 | {"annotations_creators": ["expert-generated", "machine-generated"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|fashion_mnist"], "task_categories": ["image-classification"], "task... | 2023-03-19T11:45:31+00:00 | [
"1906.02337"
] | [
"en"
] | TAGS
#task_categories-image-classification #annotations_creators-expert-generated #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|fashion_mnist #language-English #license-mit #arxiv-1906.02337 #region-us
| Fashion-Mnist-C (Corrupted Fashion-Mnist)
=========================================
A corrupted Fashion-MNIST benchmark for testing out-of-distribution robustness of computer vision models, which were trained on Fashion-Mmnist.
Fashion-Mnist is a drop-in replacement for MNIST and Fashion-Mnist-C is a corresponding ... | [] | [
"TAGS\n#task_categories-image-classification #annotations_creators-expert-generated #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|fashion_mnist #language-English #license-mit #arxiv-1906.02337 #region-u... | [
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65bc9e7e7353fff750326c9523e384701934e530 |
# Dataset Card for Visual Genome
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Preprocessing](#dataset-preprocessing)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Langu... | visual_genome | [
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:visual-question-answering",
"task_ids:image-captioning",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:... | 2022-04-21T12:09:21+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["image-to-text", "object-detection", "visual-question-answering"], "task_ids": ["im... | 2023-06-29T14:23:59+00:00 | [] | [
"en"
] | TAGS
#task_categories-image-to-text #task_categories-object-detection #task_categories-visual-question-answering #task_ids-image-captioning #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-4.0 #region-... |
# Dataset Card for Visual Genome
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Dataset Preprocessing
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source D... | [
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b31afad97a9fada96522cc2f5b080338d4a3f7cd |
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, Biological Process, Mol... | tsantosh7/COVID-19_Annotations | [
"license:cc",
"region:us"
] | 2022-04-21T12:57:27+00:00 | {"license": "cc"} | 2022-04-21T13:03:06+00:00 | [] | [] | TAGS
#license-cc #region-us
|
Named Entity Recognition for COVID-19 Bio Entities
The dataset was taken from URL
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, Biological Process, Molecular Function, Cellular Component, Pathw... | [] | [
"TAGS\n#license-cc #region-us \n"
] | [
11
] | [
"passage: TAGS\n#license-cc #region-us \n"
] |
b3bbb554daa84ecc2b8c5bfd1b861a55fbabf639 | # PIE Dataset Card for "conll2003"
This is a [PyTorch-IE](https://github.com/ChristophAlt/pytorch-ie) wrapper for the
[CoNLL 2003 Huggingface dataset loading script](https://huggingface.co/datasets/conll2003).
## Data Schema
The document type for this dataset is `CoNLL2003Document` which defines the following data f... | pie/conll2003 | [
"region:us"
] | 2022-04-21T13:15:40+00:00 | {} | 2024-01-03T13:20:14+00:00 | [] | [] | TAGS
#region-us
| # PIE Dataset Card for "conll2003"
This is a PyTorch-IE wrapper for the
CoNLL 2003 Huggingface dataset loading script.
## Data Schema
The document type for this dataset is 'CoNLL2003Document' which defines the following data fields:
- 'text' (str)
- 'id' (str, optional)
- 'metadata' (dictionary, optional)
and the ... | [
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"passage: TAGS\n#region-us \n# PIE Dataset Card for \"conll2003\"\n\nThis is a PyTorch-IE wrapper for the\nCoNLL 2003 Huggingface dataset loading script.## Data Schema\n\nThe document type for this dataset is 'CoNLL2003Document' which defines the following data fields:\n\n- 'text' (str)\n- 'id' (str, optional)\n- '... |
f4c8f95b2143cc3d276df440d57f66e9e4ab1346 |
# Dataset Card for RVL-CDIP
## 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](... | aharley/rvl_cdip | [
"task_categories:image-classification",
"task_ids:multi-class-image-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended|iit_cdip",
"language:en",
"license:other",
"arxiv:1502.07058",
"regi... | 2022-04-21T13:21:01+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|iit_cdip"], "task_categories": ["image-classification"], "task_ids": ["multi-class-image-classification"], "pa... | 2023-05-02T08:06:16+00:00 | [
"1502.07058"
] | [
"en"
] | TAGS
#task_categories-image-classification #task_ids-multi-class-image-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|iit_cdip #language-English #license-other #arxiv-1502.07058 #region-us
| Dataset Card for RVL-CDIP
=========================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annotations
+ Personal and ... | [
"### Dataset Summary\n\n\nThe RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test images. The images are sized so their largest dim... | [
"TAGS\n#task_categories-image-classification #task_ids-multi-class-image-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|iit_cdip #language-English #license-other #arxiv-1502.07058 #region-us \n",
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36076b03a64c3dc168fa7222da61de07b6eac67e |
# Dataset Card for Goud summarization dataset
## 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]... | Goud/Goud-sum | [
"task_categories:summarization",
"task_ids:news-articles-headline-generation",
"annotations_creators:no-annotation",
"language_creators:machine-generated",
"size_categories:100K<n<1M",
"source_datasets:original",
"region:us"
] | 2022-04-21T14:25:00+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["machine-generated"], "language": [], "license": [], "multilinguality": [], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": ["news-articles-headline-generation"], "pretty_name": "Goud-s... | 2022-07-04T15:02:36+00:00 | [] | [] | TAGS
#task_categories-summarization #task_ids-news-articles-headline-generation #annotations_creators-no-annotation #language_creators-machine-generated #size_categories-100K<n<1M #source_datasets-original #region-us
| Dataset Card for Goud summarization dataset
===========================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Crea... | [
"### Dataset Summary\n\n\nGoud-sum contains 158k articles and their headlines extracted from URL news website. The articles are written in the Arabic script. All headlines are in Moroccan Darija, while articles may be in Moroccan Darija, in Modern Standard Arabic, or a mix of both (code-switched Moroccan Darija).",... | [
"TAGS\n#task_categories-summarization #task_ids-news-articles-headline-generation #annotations_creators-no-annotation #language_creators-machine-generated #size_categories-100K<n<1M #source_datasets-original #region-us \n",
"### Dataset Summary\n\n\nGoud-sum contains 158k articles and their headlines extracted fr... | [
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24eab2c29829f2672c4a9516f0d7aa750b88ba61 | 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... | eleldar/sub_train-normal_tests-datasets | [
"region:us"
] | 2022-04-21T14:25:32+00:00 | {} | 2022-06-16T10:19:47+00:00 | [] | [] | TAGS
#region-us
| Dataset for API: URL
Test English-Russian dataset:
The dataset get from tables:
* URL
* URL
* URL | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
1f2761557622d85a47d719882e5e8654f2c4dec1 | # GEM Submission
Submission name: SeqPlan-SportSett
| GEM-submissions/ratishsp__seqplan-sportsett__1650556902 | [
"benchmark:gem",
"evaluation",
"benchmark",
"region:us"
] | 2022-04-21T15:01:43+00:00 | {"benchmark": "gem", "type": "prediction", "submission_name": "SeqPlan-SportSett", "tags": ["evaluation", "benchmark"]} | 2022-04-21T15:01:45+00:00 | [] | [] | TAGS
#benchmark-gem #evaluation #benchmark #region-us
| # GEM Submission
Submission name: SeqPlan-SportSett
| [
"# GEM Submission\n\nSubmission name: SeqPlan-SportSett"
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"passage: TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n# GEM Submission\n\nSubmission name: SeqPlan-SportSett"
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1f2a598128b862851ba63f35a9d7c277c005e2d7 | ## Overview
Original dataset available [here](https://gluebenchmark.com/diagnostics).
## Dataset curation
Filled in the empty rows of columns "lexical semantics", "predicate-argument structure",
"logic", "knowledge" with empty string `""`.
Labels are encoded as follows
```
{"entailment": 0, "neutral": 1, "contradic... | pietrolesci/glue_diagnostics | [
"region:us"
] | 2022-04-21T15:46:38+00:00 | {} | 2022-04-21T15:51:56+00:00 | [] | [] | TAGS
#region-us
| ## Overview
Original dataset available here.
## Dataset curation
Filled in the empty rows of columns "lexical semantics", "predicate-argument structure",
"logic", "knowledge" with empty string '""'.
Labels are encoded as follows
## Code to create dataset
| [
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] |
bb68655c6b6f1431cdf2b90239cbf2fb5e52f3cd |
# Dataset Card for librispeech_asr
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-insta... | patrickvonplaten/librispeech_asr_self_contained | [
"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... | 2022-04-21T16:06:19+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition", "audio-classi... | 2022-10-24T16:48:37+00:00 | [] | [
"en"
] | TAGS
#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-English #license-cc-by-4.0 #regi... | Dataset Card for librispeech\_asr
=================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Dat... | [
"### Dataset Summary\n\n\nLibriSpeech is a corpus of approximately 1000 hours of 16kHz read English speech, 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.",
"### Supported Tasks and... | [
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996e72dea151ca0856d1d16efd71f560b18da817 |
# Dataset Card for XLEL-WD-Dictionary
## 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](#datas... | adithya7/xlel_wd_dictionary | [
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===================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation... | [
"### Dataset Summary\n\n\nXLEL-WD is a multilingual event linking dataset. This supplementary dataset contains a dictionary of event items from Wikidata. The descriptions for Wikidata event items are taken from the corresponding multilingual Wikipedia articles.",
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a6d542d37b24cc1f2536af5e4afb850b9641e3ff |
# Dataset Card for XLEL-WD
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structur... | adithya7/xlel_wd | [
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"languag... | 2022-04-22T01:50:11+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["af", "ar", "be", "bg", "bn", "ca", "cs", "da", "de", "el", "en", "es", "fa", "fi", "fr", "he", "hi", "hu", "id", "it", "ja", "ko", "ml", "mr", "ms", "nl", "no", "pl", "pt", "ro", "ru", "si", "sk", "sl", "sr", "sv", "sw", "ta", "te", "th",... | 2022-07-13T06:46:57+00:00 | [
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========================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source D... | [
"### Dataset Summary\n\n\nXLEL-WD is a multilingual event linking dataset. This dataset repo contains mention references in multilingual Wikipedia/Wikinews articles to event items from Wikidata.\n\n\nThe descriptions for Wikidata event items were collected from the corresponding Wikipedia articles. Download the eve... | [
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a156ba94142aa70a7ed31153a815f3990d87ff03 | # Dataset Card for [FrozenLake-v1] with slippery = True
| AntoineLB/FrozenLakeFrozen | [
"region:us"
] | 2022-04-22T06:06:34+00:00 | {} | 2022-04-22T06:57:15+00:00 | [] | [] | TAGS
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| # Dataset Card for [FrozenLake-v1] with slippery = True
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b9dee7e7cf675ed6f2b97378b8de74920162b617 | ## Overview
Original dataset [here](https://github.com/felipessalvatore/NLI_datasets).
Below the original description reported for convenience.
```latex
@MISC{Fracas96,
author = {{The Fracas Consortium} and Robin Cooper and Dick Crouch and Jan Van Eijck and Chris Fox and Josef Van Genabith and Jan Jaspars and Han... | pietrolesci/fracas | [
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] | 2022-04-22T07:35:48+00:00 | {} | 2022-04-25T07:40:07+00:00 | [] | [] | TAGS
#region-us
| ## Overview
Original dataset here.
Below the original description reported for convenience.
Adapted from URL We took 'P1, ..., Pn' as premise and H as hypothesis. Labels have been mapped as follows '{'yes': "entailment", 'no': 'contradiction', 'undef': "neutral", 'unknown': "neutral"}'. And we randomly split 80/20 f... | [
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af87ac826a01c8ce7aaed0015c8710cee48007bc | licenses:
- cc-by-2-0
multilinguality:
- multilingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- translation
task_ids: []
paperswithcode_id: tatoeba
pretty_name: Tatoeba
---
# Dataset Card for Tatoeba
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summa... | loretoparisi/tatoeba-sentences | [
"region:us"
] | 2022-04-22T07:48:18+00:00 | {"license": "cc-by-2-0"} | 2022-04-27T16:26:31+00:00 | [] | [] | TAGS
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size_categories:
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task_categories:
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task_ids: []
paperswithcode_id: tatoeba
pretty_name: Tatoeba
---
# Dataset Card for Tatoeba
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks an... | [
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36dbc520e45ddad0b14c6526ebbae8ed01bc5d7c | ## Overview
Original dataset is available on the HuggingFace Hub [here](https://huggingface.co/datasets/scitail).
## Dataset curation
This is the same as the `snli_format` split of the SciTail dataset available on the HuggingFace Hub (i.e., same data, same splits, etc).
The only differences are the following:
- sele... | pietrolesci/scitail | [
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| ## Overview
Original dataset is available on the HuggingFace Hub here.
## Dataset curation
This is the same as the 'snli_format' split of the SciTail dataset available on the HuggingFace Hub (i.e., same data, same splits, etc).
The only differences are the following:
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2dceb8142327bf9eac3ff8927e2f39533a4afc8e |
# TermITH-Eval Benchmark Dataset for Keyphrase Generation
## About
TermITH-Eval is a dataset for benchmarking keyphrase extraction and generation models.
The dataset is composed of 400 abstracts of scientific papers in French collected from the FRANCIS and PASCAL databases of the French [Institute for Scientific and... | taln-ls2n/termith-eval | [
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| TermITH-Eval Benchmark Dataset for Keyphrase Generation
=======================================================
About
-----
TermITH-Eval is a dataset for benchmarking keyphrase extraction and generation models.
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8a11d2b48a0276e70d77b4eb21e3078415a10822 | ROOTS Subset: roots_ar_uncorpus
# uncorpus
- Dataset uid: `uncorpus`
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 2.8023 % of total
- 10.7390 % of ar
- 5.7970 % of fr
- 9.7477 % of es
- 2.0417 % of en
- 1.2540 % of zh
### BigScience processing steps
#### Filters applied... | bigscience-data/roots_ar_uncorpus | [
"language:ar",
"license:cc-by-4.0",
"region:us"
] | 2022-04-22T09:23:52+00:00 | {"language": "ar", "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:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "c... | 2022-12-12T10:59:32+00:00 | [] | [
"ar"
] | TAGS
#language-Arabic #license-cc-by-4.0 #region-us
| ROOTS Subset: roots_ar_uncorpus
# uncorpus
- Dataset uid: 'uncorpus'
### Description
### Homepage
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32c8b25b9390fcbf17012195d7480d1b91e7f751 | ROOTS Subset: roots_en_uncorpus
# uncorpus
- Dataset uid: `uncorpus`
### Description
### Homepage
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- 2.8023 % of total
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### BigScience processing steps
#### Filters applied... | bigscience-data/roots_en_uncorpus | [
"language:en",
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] | 2022-04-22T09:26:12+00:00 | {"language": "en", "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:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "c... | 2022-12-12T10:59:37+00:00 | [] | [
"en"
] | TAGS
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| ROOTS Subset: roots_en_uncorpus
# uncorpus
- Dataset uid: 'uncorpus'
### Description
### Homepage
### Licensing
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3c479087d05129205cecc815ce199ce803c66149 | ROOTS Subset: roots_es_uncorpus
# uncorpus
- Dataset uid: `uncorpus`
### Description
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### Speaker Locations
### Sizes
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### BigScience processing steps
#### Filters applied... | bigscience-data/roots_es_uncorpus | [
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### BigScience processing steps
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"### Sizes\n\n- 2.8023 % of total\n- 10.7390 % of ar\n- 5.7970 % of fr\n- 9.7477 % of es\n- 2.0417 % of en\n- 1.2540 % of zh",
"### BigScience processing steps",
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020c5babdd484dc981b357a153db664beb1fdbba | ROOTS Subset: roots_fr_uncorpus
# uncorpus
- Dataset uid: `uncorpus`
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 2.8023 % of total
- 10.7390 % of ar
- 5.7970 % of fr
- 9.7477 % of es
- 2.0417 % of en
- 1.2540 % of zh
### BigScience processing steps
#### Filters applied... | bigscience-data/roots_fr_uncorpus | [
"language:fr",
"license:cc-by-4.0",
"region:us"
] | 2022-04-22T09:30:47+00:00 | {"language": "fr", "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:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "c... | 2022-12-12T10:29:02+00:00 | [] | [
"fr"
] | TAGS
#language-French #license-cc-by-4.0 #region-us
| ROOTS Subset: roots_fr_uncorpus
# uncorpus
- Dataset uid: 'uncorpus'
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 2.8023 % of total
- 10.7390 % of ar
- 5.7970 % of fr
- 9.7477 % of es
- 2.0417 % of en
- 1.2540 % of zh
### BigScience processing steps
#### Filters applied... | [
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"### BigScience processing steps",
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f7782c950faee7385b25eef0bb0499009e6df956 | ROOTS Subset: roots_zh_uncorpus
# uncorpus
- Dataset uid: `uncorpus`
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 2.8023 % of total
- 10.7390 % of ar
- 5.7970 % of fr
- 9.7477 % of es
- 2.0417 % of en
- 1.2540 % of zh
### BigScience processing steps
#### Filters applied... | bigscience-data/roots_zh_uncorpus | [
"language:zh",
"license:cc-by-4.0",
"region:us"
] | 2022-04-22T09:33:31+00:00 | {"language": "zh", "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:\nhttps://hf.co/spaces/bigscience/ethical-charter", "extra_gated_fields": {"I have read and agree to abide by the BigScience Ethical Charter": "c... | 2022-12-12T10:59:49+00:00 | [] | [
"zh"
] | TAGS
#language-Chinese #license-cc-by-4.0 #region-us
| ROOTS Subset: roots_zh_uncorpus
# uncorpus
- Dataset uid: 'uncorpus'
### Description
### Homepage
### Licensing
### Speaker Locations
### Sizes
- 2.8023 % of total
- 10.7390 % of ar
- 5.7970 % of fr
- 9.7477 % of es
- 2.0417 % of en
- 1.2540 % of zh
### BigScience processing steps
#### Filters applied... | [
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"### BigScience processing steps",
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3671c49f3c072e6ec8047f15926db10e02de487c |
<p align="center"><img src="https://huggingface.co/datasets/cfilt/HiNER-collapsed/raw/main/cfilt-dark-vec.png" alt="Computation for Indian Language Technology Logo" width="150" height="150"/></p>
# Dataset Card for HiNER-original
[![Twitter Follow](https://img.shields.io/twitter/follow/cfiltnlp?color=1DA1F2&logo=twi... | cfilt/HiNER-collapsed | [
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"arxiv:2204.137... | 2022-04-22T09:51:15+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["hi"], "license": "cc-by-sa-4.0", "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognit... | 2023-03-07T16:32:27+00:00 | [
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| 
Dataset Card for HiNER-original
===============================
![Twitter Follow](URL
![Twitter Follow](URL
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Cre... | [
"### Dataset Summary\n\n\nThis dataset was created for the fundamental NLP task of Named Entity Recognition for the Hindi language at CFILT Lab, IIT Bombay. We gathered the dataset from various government information webpages and manually annotated these sentences as a part of our data collection strategy.\n\n\nNot... | [
"TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Hindi #license-cc-by-sa-4.0 #arxiv-2204.13743 #region-us \n",
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c98da16de9bf6c8c09143b61be6079f85bfd1373 |
# Preprocessed SemEval-2010 Benchmark dataset for Keyphrase Generation
## About
SemEval-2010 is a dataset for benchmarking keyphrase extraction and generation models.
The dataset is composed of 244 **full-text** scientific papers collected from the [ACM Digital Library](https://dl.acm.org/).
Keyphrases were annotate... | taln-ls2n/semeval-2010-pre | [
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"language:en",
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] | 2022-04-22T11:10:54+00:00 | {"annotations_creators": ["unknown"], "language_creators": ["unknown"], "language": ["en"], "license": "cc-by-4.0", "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "task_categories": ["text-mining", "text-generation"], "task_ids": ["keyphrase-generation", "keyphrase-extraction"], "pretty_name": "Prepro... | 2022-09-23T06:37:43+00:00 | [] | [
"en"
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#task_categories-text-generation #annotations_creators-unknown #language_creators-unknown #multilinguality-monolingual #size_categories-n<1K #language-English #license-cc-by-4.0 #region-us
| Preprocessed SemEval-2010 Benchmark dataset for Keyphrase Generation
====================================================================
About
-----
SemEval-2010 is a dataset for benchmarking keyphrase extraction and generation models.
The dataset is composed of 244 full-text scientific papers collected from the A... | [] | [
"TAGS\n#task_categories-text-generation #annotations_creators-unknown #language_creators-unknown #multilinguality-monolingual #size_categories-n<1K #language-English #license-cc-by-4.0 #region-us \n"
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] |
5bd658aa3bfea14d2c051f1c7dd34b456bbda4a0 | ## Overview
Original dataset [here](https://github.com/aylai/MultiPremiseEntailment).
## Dataset curation
Same data and splits as the original. The following columns have been added:
- `premise`: concatenation of `premise1`, `premise2`, `premise3`, and `premise4`
- `label`: encoded `gold_label` with the following m... | pietrolesci/mpe | [
"region:us"
] | 2022-04-22T11:38:29+00:00 | {} | 2022-04-25T08:00:18+00:00 | [] | [] | TAGS
#region-us
| ## Overview
Original dataset here.
## Dataset curation
Same data and splits as the original. The following columns have been added:
- 'premise': concatenation of 'premise1', 'premise2', 'premise3', and 'premise4'
- 'label': encoded 'gold_label' with the following mapping '{"entailment": 0, "neutral": 1, "contradict... | [
"## Overview\n\nOriginal dataset here.",
"## Dataset curation\nSame data and splits as the original. The following columns have been added:\n\n- 'premise': concatenation of 'premise1', 'premise2', 'premise3', and 'premise4'\n- 'label': encoded 'gold_label' with the following mapping '{\"entailment\": 0, \"neutral... | [
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a5bdde974239556a20e6fc1624c2e32ee20b0c6a | ## Overview
Original data available [here](http://www.seas.upenn.edu/~nlp/resources/AN-composition.tgz).
## Dataset curation
`premise` and `hypothesis` columns have been cleaned following common practices ([1](https://github.com/rabeehk/robust-nli/blob/c32ff958d4df68ac2fad9bf990f70d30eab9f297/data/scripts/add_one_r... | pietrolesci/add_one_rte | [
"region:us"
] | 2022-04-22T12:56:41+00:00 | {} | 2022-04-25T07:48:42+00:00 | [] | [] | TAGS
#region-us
| ## Overview
Original data available here.
## Dataset curation
'premise' and 'hypothesis' columns have been cleaned following common practices (1, 2), that is
- remove HTML tags '<b>', '<u>', '</b>', '</u>'
- normalize repeated white spaces
- strip
'mean_human_score' has been transformed into class labels followin... | [
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c021bbdca0b644116166a56119e2adf49e575647 |
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-st... | AndresPitta/sg-reports_labeled | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:expert-generated",
"language_creators:machine-generated",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"license:unknown",
"region:us"
] | 2022-04-22T13:52:01+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["machine-generated"], "language": ["en-US"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification... | 2022-10-25T09:08:57+00:00 | [] | [
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|
# Dataset Card for [Dataset Name]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
- P... | [
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49f76692fb17d5f51bfff93c80276ba700010005 | ## Overview
This dataset has been introduced by "Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework", Aaron Steven White, Pushpendre Rastogi, Kevin Duh, Benjamin Van Durme. IJCNLP, 2017. Original data available [here](https://github.com/decompositional-semantics-initiative/DNC/ra... | pietrolesci/recast_white | [
"region:us"
] | 2022-04-22T14:27:37+00:00 | {} | 2022-04-22T14:34:14+00:00 | [] | [] | TAGS
#region-us
| ## Overview
This dataset has been introduced by "Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework", Aaron Steven White, Pushpendre Rastogi, Kevin Duh, Benjamin Van Durme. IJCNLP, 2017. Original data available here.
## Dataset curation
The following processing is applied
- 'h... | [
"## Overview\n\nThis dataset has been introduced by \"Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework\", Aaron Steven White, Pushpendre Rastogi, Kevin Duh, Benjamin Van Durme. IJCNLP, 2017. Original data available here.",
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9603afe1e507fdc70f80ab3c532872fb217c7cc5 | This dataset is the subset of original eli5 dataset from hugging face. | Pavithree/askHistorians | [
"region:us"
] | 2022-04-22T15:14:54+00:00 | {} | 2022-04-22T15:22:10+00:00 | [] | [] | TAGS
#region-us
| This dataset is the subset of original eli5 dataset from hugging face. | [] | [
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] | [
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9372640c3a19eeae1396f9137339a8081fe38caa | This dataset is derived from the eli5 dataset vailable on hugging face. | Pavithree/askScience | [
"region:us"
] | 2022-04-22T15:39:35+00:00 | {} | 2022-04-22T15:45:27+00:00 | [] | [] | TAGS
#region-us
| This dataset is derived from the eli5 dataset vailable on hugging face. | [] | [
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27063178a7482239b710e3fd96a8d8eded299d1d | [Needs More Information]
# Dataset Card for dei_article_sentiment
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instance... | deancgarcia/Diversity | [
"region:us"
] | 2022-04-22T15:55:24+00:00 | {} | 2022-12-08T00:16:35+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for dei_article_sentiment
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations
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765f4ff12812f047f92bd417ed64e5578436ebfe | # Dataset Card for [IU Ontology Trahsed]
## 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](#data... | ntcuong777/iuontology | [
"region:us"
] | 2022-04-23T03:02:40+00:00 | {} | 2022-04-23T13:49:22+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for [IU Ontology Trahsed]
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Splits
- Dataset Creation
- Curation Rationale
- Source Data
- Annotations... | [
"# Dataset Card for [IU Ontology Trahsed]",
"## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source... | [
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"# Dataset Card for [IU Ontology Trahsed]",
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"passage: TAGS\n#region-us \n# Dataset Card for [IU Ontology Trahsed]## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation... |
ef89c8242e095980a51c2264b0439ef0920ff2b1 | VQGAN is great, but leaves artifacts that are especially visible around things like faces.
It's be great to be able to train a model to fix ('devqganify') these flaws.
For this purpose, I've made this dataset, which contains 100k examples, each with
- A 512px image
- A smaller 256px version of the same image
- A rec... | johnowhitaker/vqgan1024_reconstruction | [
"region:us"
] | 2022-04-23T03:52:52+00:00 | {} | 2022-04-23T11:50:13+00:00 | [] | [] | TAGS
#region-us
| VQGAN is great, but leaves artifacts that are especially visible around things like faces.
It's be great to be able to train a model to fix ('devqganify') these flaws.
For this purpose, I've made this dataset, which contains 100k examples, each with
- A 512px image
- A smaller 256px version of the same image
- A rec... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
45fcb031e0510483c13d10b6557aae26fc85df52 | This dataset is the subset of original eli5 dataset available in hugging face space | Pavithree/eli5_split | [
"region:us"
] | 2022-04-23T07:22:39+00:00 | {} | 2022-04-23T07:33:53+00:00 | [] | [] | TAGS
#region-us
| This dataset is the subset of original eli5 dataset available in hugging face space | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
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