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17db4400fa937c9dd52800668889868c27cc3e78 |
# nateraw/auto-cats-and-dogs
Image Classification Dataset
## Usage
```python
from PIL import Image
from datasets import load_dataset
def pil_loader(path: str):
with open(path, 'rb') as f:
im = Image.open(f)
return im.convert('RGB')
def image_loader(example_batch):
example_batch['image'] = ... | nateraw/auto-cats-and-dogs | [
"task_categories:other",
"auto-generated",
"image-classification",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"task_categories": ["other"], "task_ids": ["other-image-classification", "image-classification"], "tags": ["auto-generated", "image-classification"]} | 2021-07-13T06:32:53+00:00 | [] | [] | TAGS
#task_categories-other #auto-generated #image-classification #region-us
|
# nateraw/auto-cats-and-dogs
Image Classification Dataset
## Usage
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99a546c99789ddb50b46a4bb0842a373417869e7 |
# nateraw/auto-exp-2
Image Classification Dataset
## Usage
```python
from PIL import Image
from datasets import load_dataset
def pil_loader(path: str):
with open(path, 'rb') as f:
im = Image.open(f)
return im.convert('RGB')
def image_loader(example_batch):
example_batch['image'] = [
... | nateraw/auto-exp-2 | [
"task_categories:other",
"auto-generated",
"image-classification",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"task_categories": ["other"], "task_ids": ["other-image-classification", "image-classification"], "tags": ["auto-generated", "image-classification"]} | 2021-07-13T06:10:47+00:00 | [] | [] | TAGS
#task_categories-other #auto-generated #image-classification #region-us
|
# nateraw/auto-exp-2
Image Classification Dataset
## Usage
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39a11e7de3ab785716b391fc8fc838a0f726e99f |
# Dataset Card for Beans
## 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)
... | nateraw/beans | [
"task_categories:other",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:mit",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["other"], "task_ids": ["other-other-image-classification"], "pretty_... | 2022-10-20T17:41:18+00:00 | [] | [
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| Dataset Card for Beans
======================
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\nBeans leaf dataset with images of diseased and health leaves.",
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"### Languages\n\n\nEnglish\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from the training set is provided below:",
"... | [
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d5ac15662db602ebfe4dfc8a0b1f8e83f1eefb73 |
# Dataset Card for Cats Vs. Dogs
## 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... | nateraw/cats_vs_dogs | [
"task_categories:other",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:unknown",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["other"], "task_ids": ["other-other-image-classification"], "pretty_na... | 2022-10-20T17:41:56+00:00 | [] | [
"en"
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#task_categories-other #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-unknown #region-us
| Dataset Card for Cats Vs. Dogs
==============================
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... | [
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"### Supported Tasks and Leaderboards\n\n\n* image-classification",
"### Languages\n\n\nEnglish\n\n\nDataset Structure\n-----------------",
"### Data Instances\n\n\nA sample from the training ... | [
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78e957f531bb24e2643ba7a6ab0559662f3dc44f |
# Dataset Card for Food-101
## 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... | nateraw/food101 | [
"task_categories:other",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|other-foodspotting",
"language:en",
"license:unknown",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|other-foodspotting"], "task_categories": ["other"], "task_ids": ["other-other-image-classific... | 2022-07-08T06:06:41+00:00 | [] | [
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] | TAGS
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| Dataset Card for Food-101
=========================
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... | [
"### Dataset Summary\n\n\nThis dataset consists of 101 food categories, with 101'000 images. For each class, 250 manually reviewed test images are provided as well as 750 training images. On purpose, the training images were not cleaned, and thus still contain some amount of noise. This comes mostly in the form of ... | [
"TAGS\n#task_categories-other #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|other-foodspotting #language-English #license-unknown #region-us \n",
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47d92ad8822b9f56f18140e076404aeb2f82ba3e |
# Dataset Card for Food-101
## 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... | nateraw/food101_old | [
"task_categories:other",
"annotations_creators:crowdsourced",
"size_categories:10K<n<100K",
"source_datasets:extended|other-foodspotting",
"license:unknown",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language": [], "license": ["unknown"], "multilinguality": [], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|other-foodspotting"], "task_categories": ["other"], "task_ids": ["other-other-image-classification"], "paperswithcode_id": "food-101"} | 2022-10-20T17:42:51+00:00 | [] | [] | TAGS
#task_categories-other #annotations_creators-crowdsourced #size_categories-10K<n<100K #source_datasets-extended|other-foodspotting #license-unknown #region-us
| Dataset Card for Food-101
=========================
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... | [
"### Dataset Summary\n\n\nThis dataset consists of 101 food categories, with 101'000 images. For each class, 250 manually reviewed test images are provided as well as 750 training images. On purpose, the training images were not cleaned, and thus still contain some amount of noise. This comes mostly in the form of ... | [
"TAGS\n#task_categories-other #annotations_creators-crowdsourced #size_categories-10K<n<100K #source_datasets-extended|other-foodspotting #license-unknown #region-us \n",
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dd9e3373392d977d103f2d1b6cfd2871ccd1d834 |
# Dataset Card for Food-101
## 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... | nateraw/sync_food101 | [
"task_categories:other",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
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"language:en",
"license:unknown",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|other-foodspotting"], "task_categories": ["other"], "task_ids": ["other-other-image-classific... | 2022-10-20T17:43:25+00:00 | [] | [
"en"
] | TAGS
#task_categories-other #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|other-foodspotting #language-English #license-unknown #region-us
| Dataset Card for Food-101
=========================
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... | [
"### Dataset Summary\n\n\nThis dataset consists of 101 food categories, with 101'000 images. For each class, 250 manually reviewed test images are provided as well as 750 training images. On purpose, the training images were not cleaned, and thus still contain some amount of noise. This comes mostly in the form of ... | [
"TAGS\n#task_categories-other #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|other-foodspotting #language-English #license-unknown #region-us \n",
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383f1d16508290badc0a0ab668c7a378333e3ad6 | This is a in-house development version of KLUE Topic Classification benchmark, as the test split is not released by the KLUE team.
We randomly split the original validation set (9,107 instances) into in-house validation set (5,107 instances) and the in-house test set (4,000 instances).
| naver-clova-conversation/klue-tc-dev-tsv | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-05-26T05:54:08+00:00 | [] | [] | TAGS
#region-us
| This is a in-house development version of KLUE Topic Classification benchmark, as the test split is not released by the KLUE team.
We randomly split the original validation set (9,107 instances) into in-house validation set (5,107 instances) and the in-house test set (4,000 instances).
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5a918d7d41b3cdad342d07f2b58d5b87e73c9e37 | Norsk Avis Korpus 2012-2019
* https://www.nb.no/sprakbanken/ressurskatalog/oai-nb-no-sbr-4/
Hentet ut artiklene på bokmål
Parset xml og hentet ut all teksten inni <p>-tags.
| navjordj/nak_nb | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-18T18:39:13+00:00 | [] | [] | TAGS
#region-us
| Norsk Avis Korpus 2012-2019
* URL
Hentet ut artiklene på bokmål
Parset xml og hentet ut all teksten inni <p>-tags.
| [] | [
"TAGS\n#region-us \n"
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0e5403e6fcde0da5548343976b49732fa329996e |
# DOCUMENTATION UPDATES IN PROGRESS! IGNORE BELOW
# Dataset Card for GLUE
## 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... | ncats/EpiSet4BinaryClassification | [
"annotations_creators:unknown",
"language_creators:unknown",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:unknown",
"language:en",
"license:cc-by-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["unknown"], "language_creators": ["unknown"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["unknown"], "paperswithcode_id": "glue", "pretty_name": "GLUE (General Language Understanding Evaluation benchm... | 2023-09-13T23:42:57+00:00 | [] | [
"en"
] | TAGS
#annotations_creators-unknown #language_creators-unknown #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-unknown #language-English #license-cc-by-4.0 #region-us
| DOCUMENTATION UPDATES IN PROGRESS! IGNORE BELOW
===============================================
Dataset Card for GLUE
=====================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fi... | [
"### Dataset Summary\n\n\nGLUE, the General Language Understanding Evaluation benchmark (URL is a collection of resources for training, evaluating, and analyzing natural language understanding systems.",
"### Supported Tasks and Leaderboards\n\n\nThe leaderboard for the GLUE benchmark can be found at this address... | [
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5f626f0ef45a3f8f0f0c1224cdb82b596c540d3b | ## 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)
- [Data Fields](#data-fields)... | ncats/EpiSet4NER-v1 | [
"task_ids:named-entity-recognition",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"language:en",
"license:other",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": [{"train": "programmatically-generated"}, {"val": "programmatically-generated"}, {"test": "programmatically-generated, expert-validated"}], "language_creators": ["found"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "task_categ... | 2022-09-20T13:08:28+00:00 | [] | [
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] | TAGS
#task_ids-named-entity-recognition #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #language-English #license-other #region-us
| 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
+ Personal and Sensitive Information
* Consideration... | [
"### Dataset Summary\n\n\nEpiSet4NER is a bronze-standard dataset for epidemiological entity recognition of location, epidemiologic types (e.g. \"prevalence\", \"annual incidence\", \"estimated occurrence\"), and epidemiological rates (e.g. \"1.7 per 1,000,000 live births\", \"2.1:1.000.000\", \"one in five million... | [
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7cd5eb8359df27b6e68c9400642764ff07e89e3b |
# Dataset Card for Machine Translation Paired English-Vietnamese Sentences
## 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](#lan... | ncduy/mt-en-vi | [
"annotations_creators:found",
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... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en", "vi"], "license": ["mit"], "multilinguality": ["translation"], "size_categories": ["1M<n<10M"], "source_datasets": ["own", "open_subtitles", "tatoeba", "opus_tedtalks", "qed_amara", "opus_wikipedia"], "task_categories": ["conditional... | 2022-10-22T14:08:45+00:00 | [] | [
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========================================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ D... | [
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073ec6c0fb95abc2bce0a5381722d519d90fd200 | # RicoSCA dataset introduced in seq2act (Google Research 2020)
Used in a number of projects for UI Referring Expressions, Object Detection, Phrase Grounding and other Visual-Language model tasks.
List of projects using RicoSCA:
- https://paperswithcode.com/dataset/ricosca
Original RicoSCA source repo:
- https://gith... | ncoop57/rico_captions | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2023-01-07T18:00:58+00:00 | [] | [] | TAGS
#region-us
| # RicoSCA dataset introduced in seq2act (Google Research 2020)
Used in a number of projects for UI Referring Expressions, Object Detection, Phrase Grounding and other Visual-Language model tasks.
List of projects using RicoSCA:
- URL
Original RicoSCA source repo:
- URL
| [
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cd74da4bdfd725d7c21a8ab8d7a128097e0d3771 |
# Dummy predictions for RAFT | neelalex/raft-predictions | [
"benchmark:raft",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"benchmark": "raft"} | 2021-08-04T21:25:12+00:00 | [] | [] | TAGS
#benchmark-raft #region-us
|
# Dummy predictions for RAFT | [
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603e7e491c203758566b0c7d264ba93f8bd72810 |
# Dataset Card for UR50_2021_04
## 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... | nferruz/UR50_2021_04 | [
"size_categories:unknown",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": [], "language_creators": [], "language": [], "license": [], "multilinguality": [], "size_categories": ["unknown"], "source_datasets": [], "task_categories": [], "task_ids": [], "pretty_name": ""} | 2022-07-22T12:44:04+00:00 | [] | [] | TAGS
#size_categories-unknown #region-us
|
# Dataset Card for UR50_2021_04
## 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
URL
- Annotations
... | [
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13f607f592261fac937668d2b4418222f345d423 |
## Dataset Creation
This [dataset](https://huggingface.co/datasets/nickmuchi/financial-classification) combines financial phrasebank dataset and a financial text dataset from [Kaggle](https://www.kaggle.com/datasets/percyzheng/sentiment-classification-selflabel-dataset).
Given the financial phrasebank dataset does... | nickmuchi/financial-classification | [
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"finance",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification", "sentiment-classification"], "tags": ["finance"], "train-eval-index": [{"config": "sentences_50agree"... | 2023-01-27T23:44:03+00:00 | [] | [
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|
## Dataset Creation
This dataset combines financial phrasebank dataset and a financial text dataset from Kaggle.
Given the financial phrasebank dataset does not have a validation split, I thought this might help to validate finance models and also capture the impact of COVID on financial earnings with the more rec... | [
"## Dataset Creation\n\n This dataset combines financial phrasebank dataset and a financial text dataset from Kaggle. \n\nGiven the financial phrasebank dataset does not have a validation split, I thought this might help to validate finance models and also capture the impact of COVID on financial earnings with the ... | [
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485bc494bfc0f2bc3c0a878c84a83fc1f156d8b2 | ### Dataset Summary
The data provided is (headline, body, stance) instances, where the stance is one of {unrelated, discuss, agree, disagree}.
**Input**
* A headline and a body text - either from the same news article or from two different articles.
**Output**
* Classify the stance of the body text relative to the ... | nid989/FNC-1 | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-12-27T11:04:06+00:00 | [] | [] | TAGS
#region-us
| ### Dataset Summary
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1941df61807cb4a99712d25115704fda9a0f8b25 |
# Dataset Card for "FUNSD"
## 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)
... | nielsr/FUNSD_layoutlmv2 | [
"language:en",
"arxiv:1905.13538",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"language": ["en"], "paperswithcode_id": "funsd"} | 2022-10-25T08:51:20+00:00 | [
"1905.13538"
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"en"
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#language-English #arxiv-1905.13538 #region-us
|
# Dataset Card for "FUNSD"
## 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
- Personal and Sensitive Infor... | [
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e4806d1eaf1dcab208ac30a6c921c710bc104374 | preprocessed removing mojibake texts | nlpufg/brwac-pt | [
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73c8546913e7e34d1378c8ac74795539d55aa837 | preprocessed removing mojibake texts | nlpufg/oscar-pt | [
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f9172c55616145ca31d33872003249043c8f805c | annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
- found
languages:
- en
licenses:
- cc-by-4.0
multilinguality:
- monolingual
paperswithcode_id: squad
pretty_name: SQuAD
size_categories:
- 10K<n<100K
source_datasets:
- extended|wikipedia
task_categories:
- question-answering
task_ids:
- extractive... | nntadotzip/iuQAchatbot | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-01-20T07:25:26+00:00 | [] | [] | TAGS
#region-us
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language_creators:
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languages:
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licenses:
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multilinguality:
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paperswithcode_id: squad
pretty_name: SQuAD
size_categories:
- 10K<n<100K
source_datasets:
- extended|wikipedia
task_categories:
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task_ids:
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65563031418b17855bf1f0c5252faa7c674109f0 |
# Dataset Card for notional-python
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Considerations for Using th... | notional/notional-python | [
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"license:unknown",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["py"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["code-generation", "conditional-text-generation"], "task_ids": ["language-mo... | 2022-10-21T12:39:56+00:00 | [] | [
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|
# Dataset Card for notional-python
## Table of Contents
- Dataset Description
- Dataset Summary
- Languages
- Dataset Creation
- Curation Rationale
- Source Data
- Considerations for Using the Data
- Social Impact of Dataset
- Discussion of Biases
- Other Known Limitations
- Additional Information
- D... | [
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7314a5b74f065dca9d690a5494d3145b531f1d85 | # Ansanb done vwa an Kreyòl pou antrene DeepSPeech.
Dataset sa a gen plis pase 7 è tan anrejistreman vwa ak prèske 100 moun an Kreyòl pou bati sistèm ASR ak TTS pou lang Kreyòl la.
Pifò nan done yo soti nan "CMU Haitian Creole Speech Recognition Database" la.
Done sa yo gentan filtre epi òganize pou ka antrene modè... | nucklehead/ht-voice-dataset | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-04-14T11:34:47+00:00 | [] | [] | TAGS
#region-us
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Dataset sa a gen plis pase 7 è tan anrejistreman vwa ak prèske 100 moun an Kreyòl pou bati sistèm ASR ak TTS pou lang Kreyòl la.
Pifò nan done yo soti nan "CMU Haitian Creole Speech Recognition Database" la.
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a5c0dce3bed22d5a2fffb5a26b6f9c349e6b8f6c | egrfdfaffd | oelkrise/CRT | [
"region:us"
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#region-us
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2b4f7179a68a023d210c30b5b093b178b5686760 | ## Novel Aggressive Text Dataset in Bengali
## Tackling Cyber-Aggression: Identification and Fine-Grained Categorization of Aggressive Texts on Social Media using Weighted Ensemble of Transformers
**Author:** Omar Sharif and Mohammed Moshiul Hoque
**Related Papers:**
[Paper1 in Neurocomputing Journal](ht... | omar-sharif/BAD-Bengali-Aggressive-Text-Dataset | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-24T15:42:02+00:00 | [] | [] | TAGS
#region-us
| ## Novel Aggressive Text Dataset in Bengali
## Tackling Cyber-Aggression: Identification and Fine-Grained Categorization of Aggressive Texts on Social Media using Weighted Ensemble of Transformers
Author: Omar Sharif and Mohammed Moshiul Hoque
Related Papers:
Paper1 in Neurocomputing Journal
Paper2 in... | [
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6bd475ffbfaef79351083a387c49bb03fc4575d7 | [Needs More Information]
# Dataset Card for EUMETSAT UK HRV
## 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](#da... | openclimatefix/eumetsat_uk_hrv | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-08-04T10:40:24+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for EUMETSAT UK HRV
## 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
-... | [
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544df619b21086e1046b3f3f9aea7a48d371e53e | # Dataset Card for Goes-MRMS
## 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](... | openclimatefix/goes-mrms | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2023-05-12T07:56:03+00:00 | [] | [] | TAGS
#region-us
| # Dataset Card for Goes-MRMS
## 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
- Conside... | [
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f433a990cca7574d4ed4687e7fa969ccad0dbeb3 | [Needs More Information]
# Dataset Card for UK Nimrod 1km Rainfall Radar Dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
-... | openclimatefix/nimrod-uk-1km | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-06-08T13:49:03+00:00 | [] | [] | TAGS
#region-us
|
# Dataset Card for UK Nimrod 1km Rainfall Radar Dataset
## 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 Se... | [
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ff99fc6fcee76887657c0b002350d81f13a38a9e |
# Dataset Card for "oscar"
## 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)
... | oscar-corpus/OSCAR-2109 | [
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"language:an",
"language:ar",
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"language:as... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["af", "als", "gsw", "am", "an", "ar", "arz", "as", "ast", "av", "az", "azb", "ba", "bar", "be", "bg", "bh", "bn", "bo", "bpy", "br", "bs", "bxr", "ca", "cbk", "ce", "ceb", "ckb", "cs", "cv", "cy", "da", "de", "diq", "dsb", "dv", "e... | 2022-11-08T09:04:43+00:00 | [
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========================
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\nOSCAR or Open Super-large Crawled Aggregated coRpus is a huge multilingual corpus obtained by language classification and filtering of the Common Crawl corpus using the ungoliant architecture. Data is distributed by language in both original and deduplicated form.",
"### Supported Tasks ... | [
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9eb87c887a17d18d82b6cdb6eacea73648aeb138 | # RAFT Submission Template
Welcome to the [RAFT benchmark](https://raft.elicit.org/)! RAFT is a few-shot classification benchmark that tests language models:
- across multiple domains (lit review, tweets, customer interaction, etc.)
- on economically valuable classification tasks (someone inherently cares about the t... | ought/raft-submission | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2023-04-27T21:20:54+00:00 | [] | [] | TAGS
#region-us
| # RAFT Submission Template
Welcome to the RAFT benchmark! RAFT is a few-shot classification benchmark that tests language models:
- across multiple domains (lit review, tweets, customer interaction, etc.)
- on economically valuable classification tasks (someone inherently cares about the task)
- in a setting that mir... | [
"# RAFT Submission Template\n\nWelcome to the RAFT benchmark! RAFT is a few-shot classification benchmark that tests language models:\n\n- across multiple domains (lit review, tweets, customer interaction, etc.)\n- on economically valuable classification tasks (someone inherently cares about the task)\n- in a setti... | [
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"passage: TAGS\n#region-us \n# RAFT Submission Template\n\nWelcome to the RAFT benchmark! RAFT is a few-shot classification benchmark that tests language models:\n\n- across multiple domains (lit review, tweets, customer interaction, etc.)\n- on economically valuable classification tasks (someone inherently cares a... |
9ee50172ea9afda2f1033c6f1b986e568b862fb3 |
# Dataset Card for RAFT
## 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)
... | ought/raft | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
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"annotations_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"source_datasets:ext... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated", "crowdsourced"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["original", "extended|ade_corpus_v2", "extended|banking77"], "task_categories": ["te... | 2022-10-25T08:54:19+00:00 | [
"2109.14076"
] | [
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#task_categories-text-classification #task_ids-multi-class-classification #annotations_creators-expert-generated #annotations_creators-crowdsourced #language_creators-expert-generated #multilinguality-monolingual #size_categories-unknown #source_datasets-original #source_datasets-extended|ade_corpus_v2 #source_dat... | Dataset Card for RAFT
=====================
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\nThe Real-world Annotated Few-shot Tasks (RAFT) dataset is an aggregation of English-language datasets found in the real world. Associated with each dataset is a binary or multiclass classification task, intended to improve our understanding of how language models perform on tasks that have... | [
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aa56583bf2bc52b0565770607d6fc3faebecf9e2 |
# Dataset Card for Language Identification 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 Struc... | papluca/language-identification | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
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"language:ar",
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"langua... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": [], "language_creators": [], "language": ["ar", "bg", "de", "el", "en", "es", "fr", "hi", "it", "ja", "nl", "pl", "pt", "ru", "sw", "th", "tr", "ur", "vi", "zh"], "license": [], "multilinguality": ["multilingual"], "size_categories": ["unknown"], "source_datasets": ["extended|amazon_reviews_mul... | 2022-07-15T09:11:23+00:00 | [] | [
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# Dataset Card for Language Identification 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 Creation
- Curation Rationale
- Source Data
- ... | [
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34264380029d9aca8c6031b072d6fab6e1f97d10 |
## Sharif Emotional Speech Dataset (ShEMO)
## Dataset Summary
The dataset includes 3000 semi-natural utterances, equivalent to 3 hours and 25 minutes of speech data extracted from online Persian radio plays. The ShEMO covers speech samples of 87 native-Persian speakers for five basic emotions including <i>anger</i>, ... | pariajm/sharif_emotional_speech_dataset | [
"task_categories:automatic-speech-recognition",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:radio-plays",
"language:fa",
"license:apache-2.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["fa"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["radio-plays"], "task_categories": ["automatic-speech-recognition"], "task_ids": ["speech-reco... | 2022-10-24T15:49:19+00:00 | [] | [
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| Sharif Emotional Speech Dataset (ShEMO)
---------------------------------------
Dataset Summary
---------------
The dataset includes 3000 semi-natural utterances, equivalent to 3 hours and 25 minutes of speech data extracted from online Persian radio plays. The ShEMO covers speech samples of 87 native-Persian speak... | [] | [
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18c0e0854a2e9e36b19f8524f272d861dbafc9ab | Best ayurvedic medicine for erectile dysfunction. More Info :- https://www.parivartanayurveda.com/male-sexual-problems.php | parivartanayurveda/Malesexproblemsayurvedictreatment | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-02-24T12:23:37+00:00 | [] | [] | TAGS
#region-us
| Best ayurvedic medicine for erectile dysfunction. More Info :- URL | [] | [
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cca3cfb747db5bf97b95126ec79d5b7d743f9654 |
# XL-WiC
Huggingface dataset for the XL-WiC paper [https://www.aclweb.org/anthology/2020.emnlp-main.584.pdf](https://www.aclweb.org/anthology/2020.emnlp-main.584.pdf).
Please refer to the official [website](https://pilehvar.github.io/xlwic/) for more information.
## Configurations
When loading one of the XL-WSD data... | pasinit/xlwic | [
"task_categories:text-classification",
"task_ids:semantic-similarity-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:multilingual",
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"source_datasets:original",
"language:en",
"language:bg",
"language:zh",
"langua... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en", "bg", "zh", "hr", "da", "nl", "et", "fa", "ja", "ko", "it", "fr", "de"], "license": ["cc-by-nc-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categorie... | 2022-10-25T08:54:22+00:00 | [] | [
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# XL-WiC
Huggingface dataset for the XL-WiC paper URL
Please refer to the official website for more information.
## Configurations
When loading one of the XL-WSD datasets one has to specify the training language and the target language (on which dev and test will be performed).
Please refer to Languages section to ... | [
"# XL-WiC\nHuggingface dataset for the XL-WiC paper URL\nPlease refer to the official website for more information.",
"## Configurations\nWhen loading one of the XL-WSD datasets one has to specify the training language and the target language (on which dev and test will be performed). \nPlease refer to Languages ... | [
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0f68047bb0d5d17e273ea7bd87b8964cdbe00028 |
# Dataset Card for equity-evaluation-corpus
## 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)
... | peixian/equity_evaluation_corpus | [
"task_categories:text-classification",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:unknown",
"gender-classification",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": [], "tags": ["gender-classif... | 2022-10-20T22:35:15+00:00 | [] | [
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|
# Dataset Card for equity-evaluation-corpus
## 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 Infor... | [
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74ef139a2d70372a878e406056ff37b1f0d561a5 |
# Dataset Card for rtGender
## 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](... | peixian/rtGender | [
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"language:en",
"license:unknown",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-label-classification"]} | 2022-10-25T08:54:24+00:00 | [] | [
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|
# Dataset Card for rtGender
## 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
- Conside... | [
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c49b2d8fa0d6476520695c52207690b7ec854043 |
# Dataset Card for PersiNLU (Textual Entailment)
## Table of Contents
- [Dataset Card for PersiNLU (Textual Entailment)](#dataset-card-for-persi_nlu_entailment)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks ... | persiannlp/parsinlu_entailment | [
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"source_datasets:extended|translated|mnli",
"language:fa",
"license:cc-by-nc-sa-4.0",
"arxiv:2012.06154",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["fa"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|translated|mnli"], "task_categories": ["textual-entailment", "natural-language-... | 2022-10-22T14:13:00+00:00 | [
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|
# Dataset Card for PersiNLU (Textual Entailment)
## Table of Contents
- Dataset Card for PersiNLU (Textual Entailment)
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Spli... | [
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ec675bb3ac50c1a52317c101fe1d724b4601f47a |
# Dataset Card for PersiNLU (Query Paraphrasing)
## Table of Contents
- [Dataset Card for PersiNLU (Query Paraphrasing)](#dataset-card-for-persi_nlu_query_paraphrasing)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supporte... | persiannlp/parsinlu_query_paraphrasing | [
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"language_creators:expert-generated",
"multilinguality:monolingual",
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"source_datasets:extended|quora|google",
"language:fa",
"license:cc-by-nc-sa-4.0",
"arxiv:2012.06154",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["fa"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|quora|google"], "task_categories": ["query-paraphrasing"], "task_ids": ["query-... | 2022-10-22T14:13:22+00:00 | [
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|
# Dataset Card for PersiNLU (Query Paraphrasing)
## Table of Contents
- Dataset Card for PersiNLU (Query Paraphrasing)
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Spli... | [
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701cb4096c7e12695123c254f757ed56b12c49b8 |
# Dataset Card for PersiNLU (Reading Comprehension)
## Table of Contents
- [Dataset Card for PersiNLU (Reading Comprehension)](#dataset-card-for-persi_nlu_reading_comprehension)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- ... | persiannlp/parsinlu_reading_comprehension | [
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"source_datasets:extended|wikipedia|google",
"language:fa",
"license:cc-by-nc-sa-4.0",
"arxiv:20... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["fa"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|wikipedia|google"], "task_categories": ["question-answering"], "task_ids": ["ex... | 2022-10-25T08:54:26+00:00 | [
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|
# Dataset Card for PersiNLU (Reading Comprehension)
## Table of Contents
- Dataset Card for PersiNLU (Reading Comprehension)
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Dat... | [
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abecf6a01a45174b7aa9b861fcc4a586cc4c7f9d |
# Dataset Card for PersiNLU (Textual Entailment)
## Table of Contents
- [Dataset Card for PersiNLU (Sentiment Analysis)](#dataset-card-for-persi_sentiment)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and L... | persiannlp/parsinlu_sentiment | [
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"language_creators:expert-generated",
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"source_datasets:extended|translated|mnli",
"language:fa",
"license:cc-by-nc-sa-4.0",
"arxiv:2012.06154",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["fa"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended|translated|mnli"], "task_categories": ["sentiment-analysis"], "task_ids": ["sen... | 2022-10-22T14:13:40+00:00 | [
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"fa"
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|
# Dataset Card for PersiNLU (Textual Entailment)
## Table of Contents
- Dataset Card for PersiNLU (Sentiment Analysis)
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Spli... | [
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aac51e2d1d2d464c7c0a123ffbe66c43fb30c8e7 |
# Dataset Card for PersiNLU (Machine Translation)
## Table of Contents
- [Dataset Card for PersiNLU (Machine Translation)](#dataset-card-for-persi_nlu_machine_translation)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Suppo... | persiannlp/parsinlu_translation_en_fa | [
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"source_datasets:extended",
"language:fa",
"license:cc-by-nc-sa-4.0",
"arxiv:2012.06154",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["fa"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["fa", "en"], "size_categories": ["1K<n<10K"], "source_datasets": ["extended"], "task_categories": ["translation"], "task_ids": ["translation"]} | 2022-10-24T15:50:37+00:00 | [
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|
# Dataset Card for PersiNLU (Machine Translation)
## Table of Contents
- Dataset Card for PersiNLU (Machine Translation)
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
- Data Sp... | [
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# Dataset Card for PersiNLU (Machine Translation)
## Table of Contents
- [Dataset Card for PersiNLU (Machine Translation)](#dataset-card-for-persi_nlu_machine_translation)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Suppo... | persiannlp/parsinlu_translation_fa_en | [
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"license:cc-by-nc-sa-4.0",
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|
# Dataset Card for PersiNLU (Machine Translation)
## Table of Contents
- Dataset Card for PersiNLU (Machine Translation)
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
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22ddd6021c9c6cae167842867026230685ce3973 |
# Dataset Card for common_voice
## 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... | phongdtd/youtube_casual_audio | [
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# Dataset Card for common_voice
## Table of Contents
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- Languages
- Dataset Structure
- Data Instances
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59d44d489b64b128c388a5f27c4fa66dd6c3a080 |
# Dataset Card for "LeNER-Br language modeling"
## Dataset Summary
The LeNER-Br language modeling dataset is a collection of legal texts in Portuguese from the [LeNER-Br](https://huggingface.co/datasets/lener_br) dataset ([official site](https://cic.unb.br/~teodecampos/LeNER-Br/)).
The legal texts were downloaded ... | pierreguillou/lener_br_finetuning_language_model | [
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# Dataset Card for "LeNER-Br language modeling"
## Dataset Summary
The LeNER-Br language modeling dataset is a collection of legal texts in Portuguese from the LeNER-Br dataset (official site).
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d15dadc66c01f73d66f8b9947ebfc7db06cbb38e | CORD: A Consolidated Receipt Dataset for Post-OCR Parsing. | pierresi/cord | [
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0dc9f2c26b42af4cb6330f36d6146e82f9117a3b |
# Dataset Card for Pile of Law
## 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-struc... | pile-of-law/pile-of-law | [
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|
# Dataset Card for Pile of Law
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
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- Dataset Structure
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3568620df66b9812dd9675c0a73c2c846f400bea |
# Dataset Card for PMC Open Access Subset
## 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](#da... | pmc/open_access | [
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# Dataset Card for PMC Open Access Subset
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0bc9df68e92fd6bb54176bf7eb29e2b9e97cb218 |
# Dataset Card for Multilingual Spoken Words
## 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](... | MLCommons/ml_spoken_words | [
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# Dataset Card for Multilingual Spoken Words
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c2280ffaf80629ba1b1be5dad6b08b93cd395371 | # Dataset Card for [pritamdeka/cord-19-abstract]
## Dataset Description
### Dataset Summary
This is a modified [cord19](https://huggingface.co/datasets/cord19) dataset which contains only the abstract field. This can be used directly for language modelling tasks.
### Languages
English
### Citation Information... | pritamdeka/cord-19-abstract | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-01T23:58:54+00:00 | [] | [] | TAGS
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| # Dataset Card for [pritamdeka/cord-19-abstract]
## Dataset Description
### Dataset Summary
This is a modified cord19 dataset which contains only the abstract field. This can be used directly for language modelling tasks.
### Languages
English
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53f4c17ae8f06d9aabeae7230194e1528f9cd7aa | # Dataset Card for [pritamdeka/cord-19-fulltext]
## Dataset Description
### Dataset Summary
This is a modified [cord19](https://huggingface.co/datasets/cord19) dataset which contains only the fulltext field. This can be used directly for language modelling tasks.
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English
### Citation Information... | pritamdeka/cord-19-fulltext | [
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| # Dataset Card for [pritamdeka/cord-19-fulltext]
## Dataset Description
### Dataset Summary
This is a modified cord19 dataset which contains only the fulltext field. This can be used directly for language modelling tasks.
### Languages
English
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d4ab94cacce28137358c0ad2de765e2fafa98653 | Common Voice 7
วันที่ 2021-07-21
ขนาด5 GB
รุ่น th_255h_2021-07-21
จำนวนชั่วโมงทั้งหมดที่ตรวจสอบ133
จำนวนชั่วโมงโดยรวม255
สัญญาอนุญาตCC-0
จำนวนเสียง7,212
รูปแบบเสียงMP3
| project2you/asr | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-12-02T08:08:08+00:00 | [] | [] | TAGS
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| Common Voice 7
วันที่ 2021-07-21
ขนาด5 GB
รุ่น th_255h_2021-07-21
จำนวนชั่วโมงทั้งหมดที่ตรวจสอบ133
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รูปแบบเสียงMP3
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aee489ef9560a5eb8adbf8c29317c0d43dc2069d |
# Dataset Card for AnCora-Ca-NER
## Dataset Description
- **Website:** https://zenodo.org/record/5036651
- **Paper:** [Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan](https://arxiv.org/abs/2107.07903)
- **Paper:** [AnCora: Multilevel Annotate... | projecte-aina/ancora-ca-ner | [
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# Dataset Card for AnCora-Ca-NER
## Dataset Description
- Website: URL
- Paper: Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan
- Paper: AnCora: Multilevel Annotated Corpora for Catalan and Spanish
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8d4bc89595621e6bcad68f150421425aa3bccef1 |
# Dataset Card for CaSum
## 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)
... | projecte-aina/casum | [
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|
# Dataset Card for CaSum
## Table of Contents
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- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
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9d7fe8d6562025d7c09a53f87502e63754a176da |
# Dataset Card for Catalan General Crawling
## 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](#... | projecte-aina/catalan_general_crawling | [
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|
# Dataset Card for Catalan General Crawling
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
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- Data Fields
- Data Splits
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30d1943cb3e086d51f35c91eb166f0c4ccc9587e |
# Dataset Card for Catalan Government Crawling
## 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... | projecte-aina/catalan_government_crawling | [
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|
# Dataset Card for Catalan Government Crawling
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
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8f4c4c3062f52d1b76ada322e6a861a6895c05c6 |
# Dataset Card for Catalan Textual Corpus
## 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](#da... | projecte-aina/catalan_textual_corpus | [
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"source_d... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["ca"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10M<n<100M"], "source_datasets": ["original", "extended|opus_dogc", "extended|cawac", "extended|oscar", "extended|open_subtitles", "extend... | 2023-11-25T05:11:21+00:00 | [
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# Dataset Card for Catalan Textual Corpus
## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structure
- Data Instances
- Data Fields
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79d37c12b9cc8827e4351521ab8802325c9c3620 |
# Dataset Card for ParlamentParla
## 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... | projecte-aina/parlament_parla | [
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"license:cc-by-4.0"... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["found"], "language_creators": ["found"], "language": ["ca"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": {"clean": ["10K<n<100K"], "other": ["100K<n<1M"]}, "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition", "text-generatio... | 2023-09-13T11:38:52+00:00 | [] | [
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| Dataset Card for ParlamentParla
===============================
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 Rationa... | [
"### Dataset Summary\n\n\nThis is the ParlamentParla speech corpus for Catalan prepared by Col·lectivaT. The audio segments were extracted from recordings the Catalan Parliament (Parlament de Catalunya) plenary sessions, which took place between 2007/07/11 - 2018/07/17. We aligned the transcriptions with the record... | [
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ee61638c447bc59e4f72877e90752cad957ac4fe |
# Dataset Card for STS-ca
## Dataset Description
- **Website:** https://zenodo.org/record/4761434
- **Paper:** [Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan](https://arxiv.org/abs/2107.07903)
- **Point of Contact:** [Carlos Rodríguez-Penago... | projecte-aina/sts-ca | [
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"region:us... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["ca"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["semantic-similarity-scoring", "text-scoring"],... | 2023-11-25T05:27:49+00:00 | [
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| Dataset Card for STS-ca
=======================
Dataset Description
-------------------
* Website: URL
* Paper: Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan
* Point of Contact: Carlos Rodríguez-Penagos and Carme Armentano-Oller
### Datase... | [
"### Dataset Summary\n\n\nSTS-ca corpus is a benchmark for evaluating Semantic Text Similarity in Catalan. This dataset was developed by BSC TeMU as part of Projecte AINA, to enrich the Catalan Language Understanding Benchmark (CLUB).\n\n\nThis work is licensed under a <a rel=\"license\" href=\"URL 4.0 Internationa... | [
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feff109328ea5c8d7c90b8ab81d85b20c37f371b |
# Dataset Card for TE-ca
## Dataset Description
- **Website:** https://zenodo.org/record/4761458
- **Paper:** [Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan](https://arxiv.org/abs/2107.07903)
- **Point of Contact:** [Carlos Rodríguez-Penag... | projecte-aina/teca | [
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|
# Dataset Card for TE-ca
## Dataset Description
- Website: URL
- Paper: Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan
- Point of Contact: Carlos Rodríguez-Penagos and Carme Armentano-Oller
### Dataset Summary
TE-ca is a dataset of textu... | [
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2364a2f052ddf75659c7912aa0f3e951b6075b1d |
# Dataset Card for TeCla
## Dataset Description
- **Website:** [Zenodo](https://zenodo.org/record/7334110)
- **Point of Contact:** [Irene Baucells de la Peña](irene.baucells@bsc.es), [Carlos Rodríguez-Penagos](carlos.rodriguez1@bsc.es) and [Carme Armentano-Oller](carme.armentano@bsc.es)
### Dataset Summary
TeCl... | projecte-aina/tecla | [
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|
# Dataset Card for TeCla
## Dataset Description
- Website: Zenodo
- Point of Contact: Irene Baucells de la Peña, Carlos Rodríguez-Penagos and Carme Armentano-Oller
### Dataset Summary
TeCla (Text Classification) is a Catalan News corpus for thematic multi-class Text Classification tasks. The present version (2.... | [
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358bb3c7433e1e7ce2e8fdb7e2eb60bf578a77b0 |
# Dataset Card for VilaQuAD
## 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... | projecte-aina/vilaquad | [
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|
# Dataset Card for VilaQuAD
## 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
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1267b4234dc06bf4cdd85c110b319d5bc5225b9f |
# Dataset Card for VilaSum
## 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... | projecte-aina/vilasum | [
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|
# Dataset Card for VilaSum
## 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
- Personal... | [
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586b37f87c9fd0705b7364a8f127a3d278e28cb1 |
# ViquiQuAD, An extractive QA dataset for Catalan, from the Wikipedia
## 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](#language... | projecte-aina/viquiquad | [
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|
# ViquiQuAD, An extractive QA dataset for Catalan, from the Wikipedia
## 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
... | [
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ec69bc35b897f666902ab400cb18666aac276471 |
# WNLI-ca
## 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)
- [Data Inst... | projecte-aina/wnli-ca | [
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| WNLI-ca
=======
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
+ Personal and... | [
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aa8d49172029aee66a874a7562429f5f8cf200f3 |
# Dataset Card for XQuAD-Ca
## 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... | projecte-aina/xquad-ca | [
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|
# Dataset Card for XQuAD-Ca
## 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
- Persona... | [
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1df6ec7dce31491d28f5af112c6ad3a70716a159 | ## Latin part of cc100 corpus
This dataset contains parts of the Latin part of the [cc100](http://data.statmt.org/cc-100/) dataset. It was used to train a [RoBERTa-based LM model](https://huggingface.co/pstroe/roberta-base-latin-cased) with huggingface.
### Preprocessing
I undertook the following preprocessing steps:... | pstroe/cc100-latin | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-11-02T14:28:12+00:00 | [] | [] | TAGS
#region-us
| ## Latin part of cc100 corpus
This dataset contains parts of the Latin part of the cc100 dataset. It was used to train a RoBERTa-based LM model with huggingface.
### Preprocessing
I undertook the following preprocessing steps:
- Removal of all "pseudo-Latin" text ("Lorem ipsum ...").
- Use of CLTK for sentence s... | [
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c8cfe7c55b5245ef9b48edd2ca37e1a1df6a04ff | COVID-19 image data collection | pulmo/chest_xray | [
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f05fdf09596bd7fcf8b2c14cb93305e7b7a7fa54 | ## QA4PC Dataset (paper: Cross-Policy Compliance Detection via Question Answering)
### Train Sets
To create training set or entailment and QA tasks, download and convert the ShARC data using the following commands:
```
wget https://sharc-data.github.io/data/sharc1-official.zip
unzip sharc1-official.zip
python create... | qa4pc/QA4PC | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-23T11:22:13+00:00 | [] | [] | TAGS
#region-us
| ## QA4PC Dataset (paper: Cross-Policy Compliance Detection via Question Answering)
### Train Sets
To create training set or entailment and QA tasks, download and convert the ShARC data using the following commands:
### Evaluation Sets
#### Entailment Data
The following files contain the data for the entailment ta... | [
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9a6b58c803ec27ad00117420022761b2a69cf526 |
# ANTILLES : An Open French Linguistically Enriched Part-of-Speech Corpus
## Table of Contents
- [Dataset Card for [Needs More Information]](#dataset-card-for-needs-more-information)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
... | qanastek/ANTILLES | [
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"language:fr",
"region:us"
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| ANTILLES : An Open French Linguistically Enriched Part-of-Speech Corpus
=======================================================================
Table of Contents
-----------------
* [Dataset Card for](#dataset-card-for-needs-more-information)
+ Table of Contents
+ Dataset Description
- Dataset Summary
- Supp... | [
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30a7e525efbb3094204e7e9a49bc46fd0ec7afb6 |
# ECDC : An overview of the European Union's highly multilingual parallel corpora
## Table of Contents
- [Dataset Card for [Needs More Information]](#dataset-card-for-needs-more-information)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-su... | qanastek/ECDC | [
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===============================================================================
Table of Contents
-----------------
* [Dataset Card for](#dataset-card-for-needs-more-information)
+ Table of Contents
+ Dataset Description
- Dataset ... | [
"### Dataset Summary\n\n\nIn October 2012, the European Union (EU) agency 'European Centre for Disease Prevention and Control' (ECDC) released a translation memory (TM), i.e. a collection of sentences and their professionally produced translations, in twenty-five languages. The data gets distributed via the web pag... | [
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7f5633e7f9903947a9e51ab0e12ff483574aeebf |
# ELRC-Medical-V2 : European parallel corpus for healthcare machine translation
## Table of Contents
- [Dataset Card for [Needs More Information]](#dataset-card-for-needs-more-information)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summ... | qanastek/ELRC-Medical-V2 | [
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"lan... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["machine-generated", "expert-generated"], "language_creators": ["found"], "language": ["en", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "ga", "hr", "hu", "it", "lt", "lv", "mt", "nl", "pl", "pt", "ro", "sk", "sl", "sv"], "multilinguality": ["multilingual"], "size_categories": ["100K... | 2022-10-24T16:15:17+00:00 | [] | [
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=============================================================================
Table of Contents
-----------------
* [Dataset Card for](#dataset-card-for-needs-more-information)
+ Table of Contents
+ Dataset Description
- Dataset Summ... | [
"### Dataset Summary\n\n\n'ELRC-Medical-V2' is a parallel corpus for neural machine translation funded by the European Commission and coordinated by the German Research Center for Artificial Intelligence.",
"### Supported Tasks and Leaderboards\n\n\n'translation': The dataset can be used to train a model for tran... | [
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783edb3e7341c61ec455b253654550c6bdbdfa89 |
# EMEA-V3 : European parallel translation corpus from the European Medicines Agency
## Table of Contents
- [Dataset Card for [Needs More Information]](#dataset-card-for-needs-more-information)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-... | qanastek/EMEA-V3 | [
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... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["machine-generated", "expert-generated"], "language_creators": ["found"], "language": ["bg", "cs", "da", "de", "el", "en", "es", "et", "fi", "fr", "hu", "it", "lt", "lv", "mt", "nl", "pl", "pt", "ro", "sk", "sl", "sv"], "multilinguality": ["bg", "cs", "da", "de", "el", "en", "es", "et", "fi", ... | 2022-10-22T14:18:02+00:00 | [] | [
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=================================================================================
Table of Contents
-----------------
* [Dataset Card for](#dataset-card-for-needs-more-information)
+ Table of Contents
+ Dataset Description
- Data... | [
"### Dataset Summary\n\n\n'EMEA-V3' is a parallel corpus for neural machine translation collected and aligned by Tiedemann, Jorg during the OPUS project.",
"### Supported Tasks and Leaderboards\n\n\n'translation': The dataset can be used to train a model for translation.",
"### Languages\n\n\nIn our case, the c... | [
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d74986fdd2f8aa542ca4b875d9fd37979518a027 |
# WMT-16-PubMed : European parallel translation corpus from the European Medicines Agency
## Table of Contents
- [Dataset Card for [Needs More Information]](#dataset-card-for-needs-more-information)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#da... | qanastek/WMT-16-PubMed | [
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"lan... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["machine-generated", "expert-generated"], "language_creators": ["found"], "language": ["bg", "cs", "da", "de", "el", "en", "es", "et", "fi", "fr", "hu", "it", "lt", "lv", "mt", "nl", "pl", "pt", "ro", "sk", "sl", "sv"], "multilinguality": ["multilingual"], "size_categories": ["100K<n<1M"], "so... | 2022-10-22T14:20:12+00:00 | [] | [
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# WMT-16-PubMed : European parallel translation corpus from the European Medicines Agency
## Table of Contents
- [Dataset Card for ](#dataset-card-for-needs-more-information)
- Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages
- Dataset Structur... | [
"# WMT-16-PubMed : European parallel translation corpus from the European Medicines Agency",
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39c7dcea4794e2224243c87a81b9ccf21ae3b417 |
# Dataset Card for "squad_fr"
## 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)... | qwant/squad_fr | [
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... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["fr"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual", "translation"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|squad"], "task_categories": ["question-answering"], "task_ids": ["... | 2023-04-19T13:37:09+00:00 | [] | [
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============================
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
+ Annot... | [
"### Dataset Summary\n\n\nSQuAD-fr:\n\n\n* a translated version of the Stanford Question Answering Dataset (SQuAD) into French\n\t+ obtained through automatic translation of the English dataset\n* a reading comprehension dataset, consisting of approximately 90K factoid questions on Wikipedia articles, where the ans... | [
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56645be151b61e1143597f922ccf666b43a5c02b |
# Itihāsa
Itihāsa is a Sanskrit-English translation corpus containing 93,000 Sanskrit shlokas and their English translations extracted from M. N. Dutt's seminal works on The Rāmāyana and The Mahābhārata. The paper which introduced this dataset can be found [here](https://aclanthology.org/2021.wat-1.22/).
This repos... | rahular/itihasa | [
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"region:... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["sa", "en"], "license": ["apache-2.0"], "multilinguality": ["translation"], "size_categories": ["unknown"], "source_datasets": ["original"], "task_categories": ["text2text-generation"], "task_ids": [], "pretty_name": ... | 2022-10-24T17:06:01+00:00 | [] | [
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|
# Itihāsa
Itihāsa is a Sanskrit-English translation corpus containing 93,000 Sanskrit shlokas and their English translations extracted from M. N. Dutt's seminal works on The Rāmāyana and The Mahābhārata. The paper which introduced this dataset can be found here.
This repository contains the randomized train, develo... | [
"# Itihāsa\n\nItihāsa is a Sanskrit-English translation corpus containing 93,000 Sanskrit shlokas and their English translations extracted from M. N. Dutt's seminal works on The Rāmāyana and The Mahābhārata. The paper which introduced this dataset can be found here. \n\nThis repository contains the randomized train... | [
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7aa5ac224f3acc8600c6c8c648c18b5dd6d3cf41 | ## IndicNLP News Article Classification Dataset
We used the IndicNLP text corpora to create classification datasets comprising news articles and their categories for 9 languages. The dataset is balanced across classes. The following table contains the statistics of our dataset:
| Language | Classes ... | rajeshradhakrishnan/malayalam_news | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-07-04T04:57:19+00:00 | [] | [] | TAGS
#region-us
| IndicNLP News Article Classification Dataset
--------------------------------------------
We used the IndicNLP text corpora to create classification datasets comprising news articles and their categories for 9 languages. The dataset is balanced across classes. The following table contains the statistics of our datase... | [] | [
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e4fbbe300e28a65c40334241aa4e9f1c4e155852 |
# Dataset Card for [Malayalam Wiki - common crawl malayalam]
## 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)
- [Da... | rajeshradhakrishnan/malayalam_wiki | [
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"languag... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling",... | 2022-07-04T11:21:06+00:00 | [] | [
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# Dataset Card for [Malayalam Wiki - common crawl malayalam]
## 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
- Sourc... | [
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036d6b4f0077262f485de3d16085244408af2430 |
***This dataset contains 1.5k Algerian Arabic sentiment comments classified into two classes
subjective positive, subjective negative.
***This dataset is collected and annotated by RANIM for Arabic NLP Solutions, feel free to use it.
***We appreciate citing our company name "RANIM for Arabic NLP Solutions" when u... | ranim/Algerian-Arabic | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-11-04T18:17:42+00:00 | [] | [] | TAGS
#region-us
|
*This dataset contains 1.5k Algerian Arabic sentiment comments classified into two classes
subjective positive, subjective negative.
*This dataset is collected and annotated by RANIM for Arabic NLP Solutions, feel free to use it.
*We appreciate citing our company name "RANIM for Arabic NLP Solutions" when using t... | [] | [
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6
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5345895c56a601afe1a98519ce3199be60a27dba |
# Dataset Card for DiaBLa: Bilingual dialogue parallel evaluation set
## 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](#language... | rbawden/DiaBLa | [
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| Dataset Card for DiaBLa: Bilingual dialogue parallel evaluation set
===================================================================
Table of Contents
-----------------
* Table of Contents
* Dataset Description
+ Dataset Summary
+ Supported Tasks and Leaderboards
+ Languages
* Dataset Structure
+ Data Instan... | [
"### Dataset Summary\n\n\nThe dataset is an English-French dataset for the evaluation of Machine Translation (MT) for informal, written bilingual dialogue.\n\n\nThe dataset contains 144 spontaneous dialogues (5,700+ sentences) between native English and French speakers, mediated by one of two neural MT systems in a... | [
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6a4e89d29202fab0ded138253c6193f1ebd98c45 | # Test Dataset
This is a test dataset | robz/test | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-02-17T13:54:07+00:00 | [] | [] | TAGS
#region-us
| # Test Dataset
This is a test dataset | [
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d4431eb9768d77852272755a3679b1fc28a45062 | A collection of >200k screenshots from the Sims 4 character creator (face and upper-torso only), using the randomize button.
* There are ~100k masculine faces (`masc` folder), ~100k feminine faces (`fem` folder), ~12k faces with a masculine physical frame and feminine attire/makeup (`masc2fem` folder).
* All images ar... | rocca/sims4-faces | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-03-12T06:58:39+00:00 | [] | [] | TAGS
#region-us
| A collection of >200k screenshots from the Sims 4 character creator (face and upper-torso only), using the randomize button.
* There are ~100k masculine faces ('masc' folder), ~100k feminine faces ('fem' folder), ~12k faces with a masculine physical frame and feminine attire/makeup ('masc2fem' folder).
* All images ar... | [
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1bc98b7baa0108710ff2c0cca45bdf13451fb492 | #this is a test dataset and should not be used by anyone
#i am not the owner of the data
| ronaldvanos/testdata | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-09T12:56:07+00:00 | [] | [] | TAGS
#region-us
| #this is a test dataset and should not be used by anyone
#i am not the owner of the data
| [] | [
"TAGS\n#region-us \n"
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6
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1ad7203a10de7e474ea9d3f8030207ee46b19c5a | # Dataset Summary
We present *rosetta-balcanica* a manually extracted multilingual machine translation dataset for low resource
western Balkan languages. The documents were sourced from Organization for Security and Co-operation in Europe (OSCE)
website by applying appropriate language filters. Filtered list of docum... | rosettarandd/rosetta_balcanica | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-11-14T17:45:31+00:00 | [] | [] | TAGS
#region-us
| # Dataset Summary
We present *rosetta-balcanica* a manually extracted multilingual machine translation dataset for low resource
western Balkan languages. The documents were sourced from Organization for Security and Co-operation in Europe (OSCE)
website by applying appropriate language filters. Filtered list of docum... | [
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5214b2a66405abf87fd229e5c1007985501ffe3e | # DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
The data is based on the original distribution ([link to original website](http://yanran.li/dailydialog)) ([link to paper](https://aclanthology.org/I17-1099/)).
It is created as a convenience to enablefaster prototyping.
# License
DailyDialog dataset i... | roskoN/dailydialog | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-08-06T13:14:18+00:00 | [] | [] | TAGS
#region-us
| # DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
The data is based on the original distribution (link to original website) (link to paper).
It is created as a convenience to enablefaster prototyping.
# License
DailyDialog dataset is licensed under CC BY-NC-SA 4.0.
If you remix, transform, or build u... | [
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b43be7fa91a2d03f72682cca175ec5271d89b880 | # DSTC8 Reddit Corpus
The data is based of the following repository:
> [https://github.com/microsoft/dstc8-reddit-corpus](https://github.com/microsoft/dstc8-reddit-corpus)
The dataset is created is a convenience to enable skipping the lengthy extraction process. | roskoN/dstc8-reddit-corpus | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-04-22T23:19:35+00:00 | [] | [] | TAGS
#region-us
| # DSTC8 Reddit Corpus
The data is based of the following repository:
> URL
The dataset is created is a convenience to enable skipping the lengthy extraction process. | [
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00355bee8104a40d80665be0e4570f4a8b2c96f7 |
# Dataset Card Creation Guide
## 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)... | sagnikrayc/mctest | [
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"license:other",
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|
# Dataset Card Creation Guide
## 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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ef167bca1e2bd18115fb6b6d58e5c888b30f7fde |
# Dataset Card Creation Guide
## 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)... | sagnikrayc/quasar | [
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|
# Dataset Card Creation Guide
## 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
- Personal and Sensitive In... | [
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71a7c86c0432a0320f2b825c4064d00e79c4705b |
# Dataset Card for [author_profiling]
## 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)
- [Dat... | sagteam/author_profiling | [
"task_categories:text-classification",
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"licen... | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["ru"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification", ... | 2022-08-09T11:33:07+00:00 | [] | [
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| Dataset Card for [author\_profiling]
====================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
+ Languages
* Dataset Structure
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Annota... | [
"### Dataset Summary\n\n\nThe corpus for the author profiling analysis contains texts in Russian-language which labeled for 5 tasks:\n\n\n1. gender -- 13448 texts with the labels, who wrote this: text female or male;\n2. age -- 13448 texts with the labels, how old the person who wrote the text. This is a number fro... | [
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38bfb57d96df0df3b254f0dcde663b6e8d7e4b5a | For details, please refer to the following links.
Github repo: https://github.com/amazon-research/SC2QA-DRIL
Paper: [Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning](https://arxiv.org/pdf/2109.04689.pdf) | sc2qa/sc2q_commoncrawl | [
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#arxiv-2109.04689 #region-us
| For details, please refer to the following links.
Github repo: URL
Paper: Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning | [] | [
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0d9e409f4d7d4b3d14e05c5470fdb89ab1520cca | For details, please refer to the following links.
Github repo: https://github.com/amazon-research/SC2QA-DRIL
Paper: [Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning](https://arxiv.org/pdf/2109.04689.pdf) | sc2qa/sc2q_commoncrawl_large | [
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"region:us"
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"2109.04689"
] | [] | TAGS
#arxiv-2109.04689 #region-us
| For details, please refer to the following links.
Github repo: URL
Paper: Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning | [] | [
"TAGS\n#arxiv-2109.04689 #region-us \n"
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e3428b7136488e54a1a3ea6c9390f4d4c1267179 | For details, please refer to the following links.
Github repo: https://github.com/amazon-research/SC2QA-DRIL
Paper: [Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning](https://arxiv.org/pdf/2109.04689.pdf) | sc2qa/sc2qa_commoncrawl | [
"arxiv:2109.04689",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-03-30T17:34:27+00:00 | [
"2109.04689"
] | [] | TAGS
#arxiv-2109.04689 #region-us
| For details, please refer to the following links.
Github repo: URL
Paper: Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning | [] | [
"TAGS\n#arxiv-2109.04689 #region-us \n"
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14
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5d2ac65ef982b54e00944e3f6455b8201c149886 |
# TripClick Baselines with Improved Training Data
*Establishing Strong Baselines for TripClick Health Retrieval* Sebastian Hofstätter, Sophia Althammer, Mete Sertkan and Allan Hanbury
https://arxiv.org/abs/2201.00365
**tl;dr** We create strong re-ranking and dense retrieval baselines (BERT<sub>CAT</sub>, BERT<sub>D... | sebastian-hofstaetter/tripclick-training | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:other",
"annotations_creators:clicks",
"language_creators:other",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:tripclick",
"license:apache-2.0",
"arxiv:2201.00365",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["other", "clicks"], "language_creators": ["other"], "language": ["en-US"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["unknown"], "source_datasets": ["tripclick"], "task_categories": ["text-retrieval"], "task_ids": ["document-retrieval"], "pretty_name": ... | 2022-07-26T12:16:46+00:00 | [
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|
# TripClick Baselines with Improved Training Data
*Establishing Strong Baselines for TripClick Health Retrieval* Sebastian Hofstätter, Sophia Althammer, Mete Sertkan and Allan Hanbury
URL
tl;dr We create strong re-ranking and dense retrieval baselines (BERT<sub>CAT</sub>, BERT<sub>DOT</sub>, ColBERT, and TK) for Tr... | [
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9c33630210cfdc58ab3680f425d44b79c4d03c53 |
# Dataset Card for sidewalk-semantic
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Dataset Structure](#dataset-structure)
- [Data Categories](#data-categories)
- [Data Instances](#data-instance... | segments/sidewalk-semantic | [
"task_categories:image-segmentation",
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"language_creators:expert-generated",
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"source_datasets:original",
"license:cc-by-nc-4.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["crowdsourced", "expert-generated"], "language_creators": ["expert-generated"], "license": "cc-by-nc-4.0", "multilinguality": [], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["image-segmentation"], "task_ids": ["semantic-segmentation"], "pretty_name": "side... | 2023-07-10T07:09:07+00:00 | [] | [] | TAGS
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| Dataset Card for sidewalk-semantic
==================================
Table of Contents
-----------------
* Dataset Description
+ Dataset Summary
+ Supported Tasks
* Dataset Structure
+ Data Categories
+ Data Instances
+ Data Fields
+ Data Splits
* Dataset Creation
+ Curation Rationale
+ Source Data
+ Anno... | [
"### Dataset Summary\n\n\nA dataset of sidewalk images gathered in Belgium in the summer of 2021. Label your own semantic segmentation datasets on URL",
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f0952284922903339c620681b8506e31884c63b4 | # Training Data for Text Embedding Models
This repository contains training files to train text embedding models, e.g. using [sentence-transformers](https://www.SBERT.net).
## Data Format
All files are in a `jsonl.gz` format: Each line contains a JSON-object that represent one training example.
The JSON obj... | sentence-transformers/embedding-training-data | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-10-17T16:49:20+00:00 | [] | [] | TAGS
#region-us
| Training Data for Text Embedding Models
=======================================
This repository contains training files to train text embedding models, e.g. using sentence-transformers.
Data Format
-----------
All files are in a 'URL' format: Each line contains a JSON-object that represent one training example.
... | [] | [
"TAGS\n#region-us \n"
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094614d3a0d3395455a4f5254033cab1110033a8 | # MS MARCO Passages Hard Negatives
[MS MARCO](https://microsoft.github.io/msmarco/) is a large scale information retrieval corpus that was created based on real user search queries using Bing search engine.
This dataset repository contains files that are helpful to train bi-encoder models e.g. using [sentence-tra... | sentence-transformers/msmarco-hard-negatives | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-08-18T15:04:34+00:00 | [] | [] | TAGS
#region-us
| # MS MARCO Passages Hard Negatives
MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using Bing search engine.
This dataset repository contains files that are helpful to train bi-encoder models e.g. using sentence-transformers.
## Training Code
You can f... | [
"# MS MARCO Passages Hard Negatives\r\n\r\nMS MARCO is a large scale information retrieval corpus that was created based on real user search queries using Bing search engine.\r\n\r\nThis dataset repository contains files that are helpful to train bi-encoder models e.g. using sentence-transformers.",
"## Training ... | [
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641817dd485daeeb871a83fc4cbdbeb3c4b05a35 | # Parallel Sentences for 50+ languages
This repository contains parallel sentences (i.e. English + same sentences in other language) for 50+ different languages in a simple tsv.gz format:
```
english_sentences\tsentence_in_other_language
```
Sentences stem from the [OPUS website](https://opus.nlpl.eu/).
The followin... | sentence-transformers/parallel-sentences | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2022-10-19T18:59:59+00:00 | [] | [] | TAGS
#region-us
| # Parallel Sentences for 50+ languages
This repository contains parallel sentences (i.e. English + same sentences in other language) for 50+ different languages in a simple URL format:
Sentences stem from the OPUS website.
The following datasets are included:
- Europarl
- GlobalVoices
- JW300
- MUSE
- News-Commenta... | [
"# Parallel Sentences for 50+ languages\n\nThis repository contains parallel sentences (i.e. English + same sentences in other language) for 50+ different languages in a simple URL format:\n\n\nSentences stem from the OPUS website.\n\nThe following datasets are included:\n- Europarl\n- GlobalVoices\n- JW300\n- MUSE... | [
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"# Parallel Sentences for 50+ languages\n\nThis repository contains parallel sentences (i.e. English + same sentences in other language) for 50+ different languages in a simple URL format:\n\n\nSentences stem from the OPUS website.\n\nThe following datasets are included:\n- Europarl\n- Glob... | [
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60f9fef73b56b73dfaefeab3729410f3cf9f846d | # Reddit (Title, Body)-Pairs
This dataset contains jsonl-Files about (title, body) pairs from Reddit. Each line is a JSON object of the following format:
```
{'title': 'The title of a thread', 'body': 'The longer body of the thread', 'subreddit': 'subreddit_name'}
```
The 2021 file contains submissions up until inclu... | sentence-transformers/reddit-title-body | [
"region:us"
] | 2022-03-02T23:29:22+00:00 | {} | 2021-10-19T08:20:35+00:00 | [] | [] | TAGS
#region-us
| Reddit (Title, Body)-Pairs
==========================
This dataset contains jsonl-Files about (title, body) pairs from Reddit. Each line is a JSON object of the following format:
The 2021 file contains submissions up until including 2021-06. Entries in the respective files are shuffled on a monthly basis.
The dat... | [] | [
"TAGS\n#region-us \n"
] | [
6
] | [
"passage: TAGS\n#region-us \n"
] |
98e9d50791bbbd493438122d379c16dc51a74bf8 |
# Dataset Card for severo/embellishments
## Dataset Description
- **Homepage:** [Digitised Books - Images identified as Embellishments - Homepage](https://bl.iro.bl.uk/concern/datasets/59d1aa35-c2d7-46e5-9475-9d0cd8df721e)
- **Point of Contact:** [Sylvain Lesage](mailto:sylvain.lesage@huggingface.co)
### Dataset Su... | severo/embellishments | [
"annotations_creators:no-annotation",
"size_categories:n<1K",
"source_datasets:original",
"license:cc0-1.0",
"region:us"
] | 2022-03-02T23:29:22+00:00 | {"annotations_creators": ["no-annotation"], "license": ["cc0-1.0"], "size_categories": ["n<1K"], "source_datasets": ["original"], "pretty_name": "Digitised Books - Images identified as Embellishments. c. 1510 - c. 1900. JPG"} | 2022-10-25T08:56:40+00:00 | [] | [] | TAGS
#annotations_creators-no-annotation #size_categories-n<1K #source_datasets-original #license-cc0-1.0 #region-us
|
# Dataset Card for severo/embellishments
## Dataset Description
- Homepage: Digitised Books - Images identified as Embellishments - Homepage
- Point of Contact: Sylvain Lesage
### Dataset Summary
This small dataset contains the thumbnails of the first 100 entries of Digitised Books - Images identified as Embellish... | [
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"## Dataset Description\n\n- Homepage: Digitised Books - Images identified as Embellishments - Homepage\n- Point of Contact: Sylvain Lesage",
"### Dataset Summary\n\nThis small dataset contains the thumbnails of the first 100 entries of Digitised Books - Images identi... | [
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"# Dataset Card for severo/embellishments",
"## Dataset Description\n\n- Homepage: Digitised Books - Images identified as Embellishments - Homepage\n- Point of Contact: Sylvain Lesage",
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"passage: TAGS\n#annotations_creators-no-annotation #size_categories-n<1K #source_datasets-original #license-cc0-1.0 #region-us \n# Dataset Card for severo/embellishments## Dataset Description\n\n- Homepage: Digitised Books - Images identified as Embellishments - Homepage\n- Point of Contact: Sylvain Lesage### Data... |
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