author stringlengths 2 29 ⌀ | cardData null | citation stringlengths 0 9.58k ⌀ | description stringlengths 0 5.93k ⌀ | disabled bool 1
class | downloads float64 1 1M ⌀ | gated bool 2
classes | id stringlengths 2 108 | lastModified stringlengths 24 24 | paperswithcode_id stringlengths 2 45 ⌀ | private bool 2
classes | sha stringlengths 40 40 | siblings list | tags list | readme_url stringlengths 57 163 | readme stringlengths 0 977k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
lewtun | null | null | null | false | 1 | false | lewtun/bulk-superb-s3p-superb-49606 | 2021-08-02T16:38:29.000Z | null | false | 75cac4251eb0dbc3282eaa5ff95c608032df6628 | [] | [
"benchmark:superb",
"task:asr",
"type:prediction"
] | https://huggingface.co/datasets/lewtun/bulk-superb-s3p-superb-49606/resolve/main/README.md | ---
benchmark: superb
task: asr
type: prediction
---
# Batch job
model_id: lewtun/superb-s3prl-osanseviero__hubert_base-asr-cbcd177a
dataset_name: superb
dataset_config: asr
dataset_split: test
dataset_column: file |
lewtun | null | null | null | false | 2 | false | lewtun/gem-sub-03 | 2021-12-15T14:34:30.000Z | null | false | 3d61f200cf73279e51fb903b58f80de3fb344769 | [] | [
"benchmark:gem",
"type:prediction",
"submission_name:T5-base (Baseline)"
] | https://huggingface.co/datasets/lewtun/gem-sub-03/resolve/main/README.md | ---
benchmark: gem
type: prediction
submission_name: T5-base (Baseline)
---
# GEM submissions for gem-sub-03
## Submitting to the benchmark
FILL ME IN
### Submission file format
Please follow this format for your `submission.json` file:
```json
{
"submission_name": "An identifying name of your system",
"param... |
lewtun | null | null | null | false | 2 | false | lewtun/github-issues-test | 2021-08-12T23:55:28.000Z | null | false | e3e3c81a4d7cc98d61d3b63b16b25e92008a9ba3 | [] | [] | https://huggingface.co/datasets/lewtun/github-issues-test/resolve/main/README.md | # GitHub Issues Dataset |
lewtun | null | null | null | false | 127 | false | lewtun/github-issues | 2021-10-04T15:49:55.000Z | null | false | 3bb24dcad2b45b45e20fc0accc93058dcbe8087d | [] | [
"arxiv:2005.00614"
] | https://huggingface.co/datasets/lewtun/github-issues/resolve/main/README.md | # Dataset Card for GitHub Issues
## Dataset Description
- **Point of Contact:** [Lewis Tunstall](lewis@huggingface.co)
### Dataset Summary
GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the 🤗 Datasets [repository](https://github.com/huggingface/datasets). It is intended fo... |
lewtun | null | @InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
} | This new dataset is designed to solve this great NLP task and is crafted with a lot of care. | false | 2 | false | lewtun/mnist-preds | 2021-07-16T09:00:01.000Z | null | false | be8eb418f71d209bd05f3f1be13e916c283c6540 | [] | [
"benchmark:test"
] | https://huggingface.co/datasets/lewtun/mnist-preds/resolve/main/README.md | ---
benchmark: test
---
# Dataset Card for RAFT Submission |
lewtun | null | null | null | false | 2 | false | lewtun/my-awesome-dataset | 2022-07-03T05:16:07.000Z | null | false | b66c0539f6b2df8daab58de1edb5371b19db5486 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_ids:summarization"
] | https://huggingface.co/datasets/lewtun/my-awesome-dataset/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- summarization
---
# Dataset Card for Demo
## Table of Contents
- ... |
lgrobol | null | null | null | false | 32 | false | lgrobol/openminuscule | 2022-10-23T09:28:36.000Z | null | false | 49e6a3b37d4666b3554ea90a6c76e02d07505fec | [] | [
"language_creators:crowdsourced",
"language:en",
"language:fr",
"license:cc-by-4.0",
"multilinguality:multilingual",
"size_categories:100k<n<1M",
"source_datasets:original",
"task_categories:text-generation",
"task_ids:language-modeling",
"language_bcp47:en-GB",
"language_bcp47:fr-FR"
] | https://huggingface.co/datasets/lgrobol/openminuscule/resolve/main/README.md | ---
language_creators:
- crowdsourced
language:
- en
- fr
license:
- cc-by-4.0
multilinguality:
- multilingual
size_categories:
- 100k<n<1M
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
pretty_name: Open Minuscule
language_bcp47:
- en-GB
- fr-FR
---
Open Minuscule
=======... |
lhoestq | null | @article{2016arXiv160605250R,
author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
Konstantin and {Liang}, Percy},
title = "{SQuAD: 100,000+ Questions for Machine Comprehension of Text}",
journal = {arXiv e-prints},
year = 2016,
eid = {arXiv:1606.05250}... | Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable. | false | 21 | false | lhoestq/custom_squad | 2022-10-25T09:50:53.000Z | null | false | 6bb129c79cbc02860807e12dd09bf9e152c3f73d | [] | [
"arxiv:1606.05250",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"language_creators:found",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|wikipedia",
"task_categories:question-answering",
"task... | https://huggingface.co/datasets/lhoestq/custom_squad/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
- found
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|wikipedia
task_categories:
- question-answering
task_ids:
- extractive-qa
---
# Dataset Card for "squad"
## Ta... |
lhoestq | null | null | null | false | 3,572 | false | lhoestq/demo1 | 2021-11-08T14:36:41.000Z | null | false | 87ecf163bedca9d80598b528940a9c4f99e14c11 | [] | [
"type:demo"
] | https://huggingface.co/datasets/lhoestq/demo1/resolve/main/README.md | ---
type: demo
---
# Dataset Card for Demo1
## 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](#... |
lhoestq | null | \ | This is a test dataset. | false | 323 | false | lhoestq/test | 2022-07-01T15:26:34.000Z | null | false | 8af5b3fc20bfa28cc0f09ddc1a0c0bcddf906e3a | [] | [
"type:test",
"annotations_creators:expert-generated",
"language_creators:found",
"language:en",
"license:mit",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"task_ids:other-test"
] | https://huggingface.co/datasets/lhoestq/test/resolve/main/README.md | ---
type: test
annotations_creators:
- expert-generated
language_creators:
- found
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- other-test
task_ids:
- other-test
paperswithcode_id: null
pretty_name: Test Dataset
---
This is a test d... |
lhoestq | null | null | null | false | 2 | false | lhoestq/test2 | 2021-07-23T14:21:45.000Z | null | false | dd797fcf8beacd44987048d5e2606edf1fe0a230 | [] | [] | https://huggingface.co/datasets/lhoestq/test2/resolve/main/README.md | This is a readme
|
lhoestq | null | null | null | false | 2 | false | lhoestq/test_commit_descriptions | 2022-01-25T14:58:01.000Z | null | false | 01a864c56b2bd80f536391bcfc17a71443b5de7b | [] | [] | https://huggingface.co/datasets/lhoestq/test_commit_descriptions/resolve/main/README.md | |
liam168 | null | null | null | false | 2 | false | liam168/nlp_c4_sentiment | 2021-07-30T04:05:45.000Z | null | false | 7f14f05cd0effd0d847886ede953e6808c3e3a27 | [] | [] | https://huggingface.co/datasets/liam168/nlp_c4_sentiment/resolve/main/README.md | 带情感标注 新浪微博({0: '喜悦', 1: '愤怒', 2: '厌恶', 3: '低落'}) |
lijingxin | null | null | null | false | 6 | false | lijingxin/squad_zen | 2022-02-09T03:05:31.000Z | null | false | 7b78af8a83bdeebb85f2d78f883acdb9c947c655 | [] | [] | https://huggingface.co/datasets/lijingxin/squad_zen/resolve/main/README.md | 仅自用
出自：https://github.com/junzeng-pluto/ChineseSquad
感谢！ |
lincoln | null | null | null | false | 20 | false | lincoln/newsquadfr | 2022-08-05T12:05:24.000Z | null | false | 6aca57928d2edaffa6f9a29bdecaa789c28d0391 | [] | [
"annotations_creators:private",
"language:fr-FR",
"license:cc-by-nc-sa-4.0",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"source_datasets:newspaper",
"source_datasets:online",
"task_categories:question-answering",
"task_ids:extractive-qa",
"task_ids:ope... | https://huggingface.co/datasets/lincoln/newsquadfr/resolve/main/README.md | ---
annotations_creators:
- private
language_creators: null
language:
- fr-FR
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
- newspaper
- online
task_categories:
- question-answering
task_ids:
- extractive-qa
- open-domain-qa
paperswithcode_id: null
--... |
liweili | null | \
@InProceedings{huggingface:c4_200m_dataset,
title = {c4_200m},
author={Li Liwei},
year={2021}
} | \
GEC Dataset Generated from C4 | false | 105 | false | liweili/c4_200m | 2022-10-23T11:00:46.000Z | null | false | 1b0382449b4273d9de8e6d6ad15ca6873884758a | [] | [
"language:en",
"source_datasets:allenai/c4",
"task_categories:text-generation",
"tags:grammatical-error-correction"
] | https://huggingface.co/datasets/liweili/c4_200m/resolve/main/README.md | ---
language:
- en
source_datasets:
- allenai/c4
task_categories:
- text-generation
pretty_name: C4 200M Grammatical Error Correction Dataset
tags:
- grammatical-error-correction
---
# C4 200M
# Dataset Summary
c4_200m is a collection of 185 million sentence pairs generated from the cleaned English dataset from C4. Thi... |
lkiouiou | null | null | null | false | 2 | false | lkiouiou/o9ui7877687 | 2021-04-04T18:04:32.000Z | null | false | 3fda50517775f10d7a541b8d3ba5711488c9aae5 | [] | [] | https://huggingface.co/datasets/lkiouiou/o9ui7877687/resolve/main/README.md | |
llangnickel | null | null | null | false | 10 | false | llangnickel/long-covid-classification-data | 2022-07-29T09:21:28.000Z | null | false | af681c527ad170c4c92235fdc84c7f6d269ea485 | [] | [
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:text-classification"
] | https://huggingface.co/datasets/llangnickel/long-covid-classification-data/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: 'Dataset containing abstracts from PubMed, either related to long COVID
or not. '
size_categories:
- unknown
source_datasets:
- original
task_categories:
-... |
loretoparisi | null | null | null | false | 1 | false | loretoparisi/spoken-punctuation | 2022-02-24T21:12:49.000Z | null | false | 936ce94b2393ccff9d8ab5e37c17c3cba70075f4 | [] | [] | https://huggingface.co/datasets/loretoparisi/spoken-punctuation/resolve/main/README.md | # spoken-punctuation
Spoken punctuation for Speech-to-Text by language and locale.
## Disclaimer
Data collected from Google Cloud Speech-to-Text "Supported spoken punctuation" documentation: https://cloud.google.com/speech-to-text/docs/spoken-punctuation
|
lpsc-fiuba | null | TO DO: Cita | null | false | 2 | false | lpsc-fiuba/melisa | 2022-10-22T08:52:56.000Z | null | false | ebad3013a8a015074a69a9826d06c38b750e1bce | [] | [
"annotations_creators:found",
"language_creators:found",
"language:es",
"language:pt",
"license:other",
"multilinguality:multilingual",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"task_categories:text-classification",
"task_ids:language-modeling",
"... | https://huggingface.co/datasets/lpsc-fiuba/melisa/resolve/main/README.md | ---
annotations_creators:
- found
language_creators:
- found
language:
- es
- pt
license:
- other
multilinguality:
all_languages:
- multilingual
es:
- monolingual
pt:
- monolingual
paperswithcode_id: null
size_categories:
all_languages:
- 100K<n<1M
es:
- 100K<n<1M
pt:
- 100K<n<1M
source_datasets... |
lsb | null | null | null | false | 2 | false | lsb/ancient-latin-passages | 2022-01-31T18:22:55.000Z | null | false | 2a8784deddebd5bfcd0cb9f276139f91e814b9c8 | [] | [
"license:agpl-3.0"
] | https://huggingface.co/datasets/lsb/ancient-latin-passages/resolve/main/README.md | ---
license: agpl-3.0
---
|
lsb | null | null | null | false | 2 | false | lsb/million-english-numbers | 2022-01-31T07:17:04.000Z | null | false | 01646b472299e7f15ee59772d329eb5da3646a9a | [] | [
"arxiv:1803.09010"
] | https://huggingface.co/datasets/lsb/million-english-numbers/resolve/main/README.md | # Million English Numbers
A list of a million American English numbers, under a AGPL 3.0 license. This datasheet is inspired by [Datasheets for Datasets](https://arxiv.org/abs/1803.09010).
## Sample
```
$ tail -n 5 million-english-numbers
nine hundred ninety nine thousand nine hundred ninety five
nine hundred ninety n... |
lucien | null | null | null | false | 2 | false | lucien/sciencemission | 2021-04-01T17:48:38.000Z | null | false | f7cdc8e53fd262ba6e259c8db821698237fba8fd | [] | [] | https://huggingface.co/datasets/lucien/sciencemission/resolve/main/README.md | |
lucien | null | null | null | false | 2 | false | lucien/wsaderfffjjjhhh | 2021-03-31T18:38:43.000Z | null | false | d1fb49c368c1bef8fe111692645e5cb763ac5a15 | [] | [] | https://huggingface.co/datasets/lucien/wsaderfffjjjhhh/resolve/main/README.md | |
lukesjordan | null | null | null | false | 9 | false | lukesjordan/worldbank-project-documents | 2022-10-24T20:10:40.000Z | null | false | c435ecfd98f198f2ea0e741591d347423ff056e7 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:en",
"license:other",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:table-to-text",
"task_categories:question-answering",
"task_categories:summarization",
"task_cat... | https://huggingface.co/datasets/lukesjordan/worldbank-project-documents/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- table-to-text
- question-answering
- summarization
- text-generation
task_ids:
- abstractive-qa
- closed-domain-qa... |
luozhouyang | null | null | null | false | 981 | false | luozhouyang/dureader | 2021-11-29T04:44:53.000Z | null | false | 904b9cef2f649654deef43f0eecb44986395f1bc | [] | [] | https://huggingface.co/datasets/luozhouyang/dureader/resolve/main/README.md | # dureader
数据来自千言DuReader数据集，这里是原始地址 [千言数据集：阅读理解](https://aistudio.baidu.com/aistudio/competition/detail/49/0/task-definition)。
> 本数据集只用作学术研究使用。如果本仓库涉及侵权行为，会立即删除。
目前包含以下两个子集：
* DuReader-robust
* DuReader-checklist
```python
from datasets import load_dataset
robust = load_dataset("luozhouyang/dureader", "robust")
... |
luozhouyang | null | null | null | false | 1 | false | luozhouyang/kgclue-knowledge | 2021-12-24T03:30:49.000Z | null | false | acc2f0223357b039635bd616443e53c609eff279 | [] | [] | https://huggingface.co/datasets/luozhouyang/kgclue-knowledge/resolve/main/README.md | # KgCLUE-Knowledge
The original data is from [CLUEbenchmark/KgCLUE](https://github.com/CLUEbenchmark/KgCLUE).
Here is a JSON version of the original knowledge base.
## Usage
```bash
from datasets import load_dataset
dataset = load_dataset("luozhouyang/kgclue-knowledge")
# or select files
dataset = load_dataset("l... |
luozhouyang | null | null | null | false | 6 | false | luozhouyang/question-answering-datasets | 2021-11-26T11:09:10.000Z | null | false | 02dc192e9908ab6186e86689cd1a948c9771eefd | [] | [] | https://huggingface.co/datasets/luozhouyang/question-answering-datasets/resolve/main/README.md | # question-answering-datasets
Datasets for Question Answering task!
```yaml
annotations_creators:
- found
language_creators:
- found
languages:
- zh-CN
licenses:
- unknown
multilinguality:
- monolingual
pretty_name: question-answering-datasets
size_categories:
- unknown
source_datasets:
- original
task_categories:
... |
codeparrot | null | null | null | false | 64 | false | codeparrot/codeparrot-clean-train | 2022-10-10T15:27:50.000Z | null | false | 3e6ab65f2864931e041f6a82db9b5a6ec2b71ab4 | [] | [] | https://huggingface.co/datasets/codeparrot/codeparrot-clean-train/resolve/main/README.md | # CodeParrot 🦜 Dataset Cleaned (train)
Train split of [CodeParrot 🦜 Dataset Cleaned](https://huggingface.co/datasets/lvwerra/codeparrot-clean).
## Dataset structure
```python
DatasetDict({
train: Dataset({
features: ['repo_name', 'path', 'copies', 'size', 'content', 'license', 'hash', 'line_mean', 'line... |
codeparrot | null | null | null | false | 856 | false | codeparrot/codeparrot-clean-valid | 2022-10-10T15:28:51.000Z | null | false | 4db92d2ec0c1b4c41eeb439cfae16854511d9dcd | [] | [] | https://huggingface.co/datasets/codeparrot/codeparrot-clean-valid/resolve/main/README.md | # CodeParrot 🦜 Dataset Cleaned (valid)
Train split of [CodeParrot 🦜 Dataset Cleaned](https://huggingface.co/datasets/lvwerra/codeparrot-clean).
## Dataset structure
```python
DatasetDict({
train: Dataset({
features: ['repo_name', 'path', 'copies', 'size', 'content', 'license', 'hash', 'line_mean', 'lin... |
codeparrot | null | null | null | false | 105 | false | codeparrot/codeparrot-clean | 2022-10-10T15:23:51.000Z | null | false | 35a59fb025bc0a102f7d96eac09d145b896d487b | [] | [
"tags:python",
"tags:code"
] | https://huggingface.co/datasets/codeparrot/codeparrot-clean/resolve/main/README.md | ---
tags:
- python
- code
---
# CodeParrot 🦜 Dataset Cleaned
## What is it?
A dataset of Python files from Github. This is the deduplicated version of the [codeparrot](https://huggingface.co/datasets/transformersbook/codeparrot).
## Processing
The original dataset contains a lot of duplicated and noisy data. There... |
codeparrot | null | null | The GitHub Code dataest consists of 115M code files from GitHub in 32 programming languages with 60 extensions totalling in 1TB of text data. The dataset was created from the GitHub dataset on BiqQuery. | false | 648 | false | codeparrot/github-code | 2022-10-20T15:01:14.000Z | null | false | b5661e6b17396364b2bcf8e68977b0d28e1ebd19 | [] | [
"language_creators:crowdsourced",
"language_creators:expert-generated",
"language:code",
"license:other",
"multilinguality:multilingual",
"size_categories:unknown",
"task_categories:text-generation",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/codeparrot/github-code/resolve/main/README.md | ---
annotations_creators: []
language_creators:
- crowdsourced
- expert-generated
language:
- code
license:
- other
multilinguality:
- multilingual
pretty_name: github-code
size_categories:
- unknown
source_datasets: []
task_categories:
- text-generation
task_ids:
- language-modeling
---
# GitHub Code Dataset
## Data... |
lvwerra | null | null | null | false | 4 | false | lvwerra/red-wine | 2022-02-15T15:55:52.000Z | null | false | 5a76387bbac31d8574fd3f977cd0003cf5cf8519 | [] | [] | https://huggingface.co/datasets/lvwerra/red-wine/resolve/main/README.md | # Red Wine Dataset 🍷
This dataset contains the red wine dataset found [here](https://github.com/suvoooo/Machine_Learning). See also [this](https://huggingface.co/julien-c/wine-quality) example of a Scikit-Learn model trained on this dataset. |
m3hrdadfi | null | @misc{RecipeNLGLite,
author = {Mehrdad Farahani},
title = {RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation (Lite)},
year = 2021,
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {url{https://github.com/m3hrdadfi/reci... | RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation - Lite version
The dataset we publish contains 7,198 cooking recipes (>7K).
It's processed in more careful way and provides more samples than any other dataset in the area. | false | 4 | false | m3hrdadfi/recipe_nlg_lite | 2021-07-03T09:34:56.000Z | null | false | d91ce8bd583c4cbaad3420e16e1d112e3b5c9113 | [] | [] | https://huggingface.co/datasets/m3hrdadfi/recipe_nlg_lite/resolve/main/README.md | # RecipeNLG: A Cooking Recipes Dataset
RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation - Lite version
The dataset contains `7,198` cooking recipes (`>7K`).
It's processed in more careful way and provides more samples than any other dataset in the area.
## How to use
```bash
pip install git+... |
mad | null | null | null | false | 1 | false | mad/IndonesiaNewsDataset | 2021-06-24T12:42:33.000Z | null | false | cf4949dc173b1216a9ddc5f2b0d225259a202f17 | [] | [] | https://huggingface.co/datasets/mad/IndonesiaNewsDataset/resolve/main/README.md | # Indonesia News Dataset
## Source
- [Kompas](https://www.kompas.com/)
- [Detik](https://www.detik.com/) (Cooming Soon)
- [Liputan6](https://www.liputan6.com/) (Cooming Soon)
- [Tempo](https://www.tempo.co/) (Cooming Soon)
- [Okezone](https://www.okezone.com/) (Cooming Soon)
- [CNN Indonesia](https://www.cnnindones... |
makanan | null | null | null | false | 1 | false | makanan/umich | 2021-04-21T01:07:32.000Z | null | false | c31ae8a8b622ab264c93acb771f909807f03e657 | [] | [] | https://huggingface.co/datasets/makanan/umich/resolve/main/README.md | |
mammut | null | null | null | false | 2 | false | mammut/mammut-corpus-venezuela-test-set | 2022-10-22T08:58:48.000Z | null | false | b2c20f00d794fcc32a597182ef23f64382cb8aae | [] | [
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"language:es",
"language_bcp47:es-VE",
"license:cc-by-nc-nd-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/mammut/mammut-corpus-venezuela-test-set/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- es
language_bcp47:
- es-VE
license:
- cc-by-nc-nd-4.0
multilinguality:
- monolingual
pretty_name: mammut-corpus-venezuela
size_categories:
- unknown
source_datasets:
- original
task_categories:
- sequence-modeling
task_ids:
- la... |
mammut | null | null | null | false | 2 | false | mammut/mammut-corpus-venezuela | 2022-10-22T09:00:04.000Z | null | false | f02d7037b1c83ba041f36da8d299553488dd6924 | [] | [
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"task_ids:language-modeling"
] | https://huggingface.co/datasets/mammut/mammut-corpus-venezuela/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- es
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- cc-by-nc-nd-4.0
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pretty_name: mammut-corpus-venezuela
size_categories:
- unknown
source_datasets:
- original
task_categories:
- sequence-modeling
task_ids:
- la... |
manishk31 | null | null | null | false | 2 | false | manishk31/Demo | 2021-11-29T08:23:08.000Z | null | false | 530b6fdc040b2f9286024f546f5d6a63572fc3b2 | [] | [] | https://huggingface.co/datasets/manishk31/Demo/resolve/main/README.md | import data from dataset |
illuin | null | null | null | false | 1 | false | illuin/fr_corpora_parliament_processed | 2022-08-30T15:08:02.000Z | null | false | e7acef89c5d6b4f51f2bd230e173a7d5590ee5bf | [] | [
"language:fr"
] | https://huggingface.co/datasets/illuin/fr_corpora_parliament_processed/resolve/main/README.md | ---
language: fr
--- |
marinone94 | null | null | This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Norwegian.
In this version, the organization of the data have been altered to improve the usefulness of the database.
In the original version of the material, the files were organized in a specif... | false | 2 | false | marinone94/nst_no | 2022-02-04T23:04:16.000Z | null | false | f7332122c1a298c8b46313e1c5b97358de30b46b | [] | [] | https://huggingface.co/datasets/marinone94/nst_no/resolve/main/README.md | "This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Swedish. In this updated version, the organization of the data have been altered to improve the usefulness of the database.
In the original version of the material, the files were organized in ... |
marinone94 | null | null | This database was created by Nordic Language Technology for the development
of automatic speech recognition and dictation in Swedish.
In this updated version, the organization of the data have been altered to improve the usefulness of the database.
In the original version of the material,
the files were organized i... | false | 2 | false | marinone94/nst_sv | 2022-05-22T16:25:46.000Z | null | false | 81fb7d117be7ffeffc660de0b33f7a4614e13ac0 | [] | [] | https://huggingface.co/datasets/marinone94/nst_sv/resolve/main/README.md | "This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Swedish. In this updated version, the organization of the data have been altered to improve the usefulness of the database.
In the original version of the material, the files were organized in ... |
matteopilotto | null | null | null | false | 2 | false | matteopilotto/github-issues | 2022-02-12T18:39:01.000Z | null | false | 8127852d5534bf35a46d9353a055c8ee5dbb46e9 | [] | [] | https://huggingface.co/datasets/matteopilotto/github-issues/resolve/main/README.md | annotations_creators:
- machine-generated
language_creators:
- machine-generated
languages:
- english
licenses:
- unknown
multilinguality:
- monolingual
pretty_name: This dataset contains issues from Hugging Face Github
size_categories:
- unknown
source_datasets:
- original
task_categories:
- text-classification
- text... |
maydogan | null | null | null | false | 1 | false | maydogan/TRSAv1 | 2022-02-24T12:36:52.000Z | null | false | 319ff9de80c03bdea535b4838c6041161e35b84b | [] | [] | https://huggingface.co/datasets/maydogan/TRSAv1/resolve/main/README.md | TRSAv1 (Turkish Sentiment Analysis Version 1) Dataset
This data set has been produced to contribute to Turkish NLP studies.
The dataset consists of a total of 150 thousand samples, 50 thousand negative, 50 thousand positive and 50 thousand neutral.
It can be used in text classification and sentiment analysis studies ... |
mbateman | null | null | null | false | 2 | false | mbateman/github-issues | 2021-12-09T17:56:11.000Z | null | false | 92ceb811a149c3f0d306fa2a184fd82859556060 | [] | [
"arxiv:2005.00614"
] | https://huggingface.co/datasets/mbateman/github-issues/resolve/main/README.md | # Dataset Card for GitHub Issues
## Dataset Description
- **Point of Contact:** [Michael Bateman](michael.bateman.com@gmail.com)
### Dataset Summary
GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the 🤗 Datasets [repository](https://github.com/huggingface/datasets). It is... |
medzaf | null | null | null | false | 1 | false | medzaf/test | 2021-04-07T08:56:12.000Z | null | false | f9f7524578fe756173f879e409aa0a03c5ab97fa | [] | [] | https://huggingface.co/datasets/medzaf/test/resolve/main/README.md | |
meghanabhange | null | null | null | false | 2 | false | meghanabhange/hilm141021 | 2022-10-20T18:37:30.000Z | null | false | ba7ba09357e05b2d2f1cc0d45dcb92c9005b9264 | [] | [
"annotations_creators:other",
"language_creators:other",
"language:hi",
"license:other",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_ids:conditional-text-generation-other-next-word-prediction"
] | https://huggingface.co/datasets/meghanabhange/hilm141021/resolve/main/README.md | ---
YAML tags:
annotations_creators:
- other
language_creators:
- other
language:
- hi
license:
- other
multilinguality:
- monolingual
pretty_name: Hindi Language Modelling
size_categories:
- unknown
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- conditional-text-generation-other... |
meghanabhange | null | null | null | false | 2 | false | meghanabhange/hitalm141021 | 2022-10-20T18:39:07.000Z | null | false | 42ae7d0b95cafd6594877fa555000b8708ea1706 | [] | [
"annotations_creators:other",
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"language:hi",
"language:ta",
"license:other",
"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:original",
"task_ids:conditional-text-generation-other-next-word-prediction"
] | https://huggingface.co/datasets/meghanabhange/hitalm141021/resolve/main/README.md | ---
YAML tags:
annotations_creators:
- other
language_creators:
- other
language:
- hi
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license:
- other
multilinguality:
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pretty_name: Hindi Language Modelling
size_categories:
- unknown
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- conditional-text-generation... |
meghanabhange | null | null | null | false | 2 | false | meghanabhange/talm141021 | 2022-10-20T18:40:30.000Z | null | false | 753f1cdf7b14f086c7c4b9e2e5f9df829a5545fe | [] | [
"annotations_creators:other",
"language_creators:other",
"language:ta",
"license:other",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_ids:conditional-text-generation-other-next-word-prediction"
] | https://huggingface.co/datasets/meghanabhange/talm141021/resolve/main/README.md | ---
YAML tags:
annotations_creators:
- other
language_creators:
- other
language:
- ta
license:
- other
multilinguality:
- monolingual
pretty_name: Hindi Language Modelling
size_categories:
- unknown
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- conditional-text-generation-other... |
merve | null | null | null | false | 7 | false | merve/folk-mythology-tales | 2021-09-27T10:10:03.000Z | null | false | 1b80bcb297e13e5582c37dd38d6c74de07a5f22d | [] | [] | https://huggingface.co/datasets/merve/folk-mythology-tales/resolve/main/README.md | Link to original dataset is [https://sites.pitt.edu/~dash/folktexts.html](here).
Link to merged and cleaned version is [https://www.kaggle.com/cuddlefish/fairy-tales?select=merged_clean.txt](here)
annotations_creators:
- found
language_creators:
- found
languages:
- en
licenses:
- cc0-1.0
multilinguality:
- monolingu... |
merve | null | null | null | false | 167 | false | merve/poetry | 2022-10-25T09:50:55.000Z | null | false | 956ae34eaf5d5086454b0667c7aa441fdd1fe0f7 | [] | [
"annotations_creators:found",
"language_creators:found",
"language:en",
"license:unknown",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:text-classification"
] | https://huggingface.co/datasets/merve/poetry/resolve/main/README.md | # Dataset Card for poetry
## 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](#da... |
metaeval | null | null | null | false | 2 | false | metaeval/colors | 2021-12-13T15:52:15.000Z | null | false | b3d8e67ef2b38bebf15e0a0e5defa39e142b5897 | [] | [] | https://huggingface.co/datasets/metaeval/colors/resolve/main/README.md | ```
@inproceedings{norlund-etal-2021-transferring,
title = "Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it?",
author = {Norlund, Tobias and
Hagstr{\"o}m, Lovisa and
Johansson, Richard},
booktitle = "Proceedings of the Fourth BlackboxNLP Workshop on Anal... |
metaeval | null | null | Collection of crowdflower classification datasets | false | 87 | false | metaeval/crowdflower | 2022-11-09T15:44:03.000Z | null | false | deb25994db20b04541c3122a36638229924fbb33 | [] | [
"annotations_creators:crowdsourced",
"language:en",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-classification"
] | https://huggingface.co/datasets/metaeval/crowdflower/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language:
- en
language_creators:
- crowdsourced
license: []
multilinguality:
- monolingual
pretty_name: ethics
size_categories:
- unknown
source_datasets: []
tags: []
task_categories:
- text-classification
task_ids: []
--- |
metaeval | null | null | Probing for ethics understanding | false | 364 | false | metaeval/ethics | 2022-11-09T15:43:18.000Z | null | false | 7ecd70887145c93dd390f7b4cb60d293b6562267 | [] | [
"annotations_creators:crowdsourced",
"language:en",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-classification"
] | https://huggingface.co/datasets/metaeval/ethics/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language:
- en
language_creators:
- crowdsourced
license: []
multilinguality:
- monolingual
pretty_name: ethics
size_categories:
- unknown
source_datasets: []
tags: []
task_categories:
- text-classification
task_ids: []
--- |
metaeval | null | null | 10 probing tasks designed to capture simple linguistic features of sentences, | false | 751 | false | metaeval/linguisticprobing | 2022-11-09T15:41:29.000Z | null | false | 61090105f7e52a6b08978dce2dbd1f3b5cfda1b0 | [] | [
"annotations_creators:machine-generated",
"language:en",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-classification"
] | https://huggingface.co/datasets/metaeval/linguisticprobing/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language:
- en
language_creators:
- crowdsourced
license: []
multilinguality:
- monolingual
pretty_name: linguisticprobing
size_categories:
- unknown
source_datasets: []
tags: []
task_categories:
- text-classification
task_ids: []
--- |
metaeval | null | null | A diverse collection of tasks recasted as natural language inference tasks. | false | 166 | false | metaeval/recast | 2022-11-09T15:44:57.000Z | null | false | 9affcbb2db3824c301e4415bb58c2c3bd6895633 | [] | [
"annotations_creators:crowdsourced",
"language:en",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:unknown",
"task_categories:text-classification"
] | https://huggingface.co/datasets/metaeval/recast/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language:
- en
language_creators:
- crowdsourced
license: []
multilinguality:
- monolingual
pretty_name: ethics
size_categories:
- unknown
source_datasets: []
tags: []
task_categories:
- text-classification
task_ids: []
--- |
midas | null | @inproceedings{medelyan-etal-2009-human,
title = "Human-competitive tagging using automatic keyphrase extraction",
author = "Medelyan, Olena and
Frank, Eibe and
Witten, Ian H.",
booktitle = "Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing",
month = au... | \ | false | 2 | false | midas/citeulike180 | 2022-01-23T06:52:23.000Z | null | false | cfc353d7b4acc4bdd16759b076d1176758454460 | [] | [] | https://huggingface.co/datasets/midas/citeulike180/resolve/main/README.md | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific articles. For more details about the dataset please refer the original paper - [https://aclanthology.org/D09-1137/](https://aclanthology.org/D09-1137/)
Original source of the data - []()
... |
midas | null | @inproceedings{10.1145/313238.313437,
author = {Witten, Ian H. and Paynter, Gordon W. and Frank, Eibe and Gutwin, Carl and Nevill-Manning, Craig G.},
title = {KEA: Practical Automatic Keyphrase Extraction},
year = {1999},
isbn = {1581131453},
publisher = {Association for Computing Machinery},
address = {New York, NY, U... | \ | false | 2 | false | midas/cstr | 2022-03-05T04:36:34.000Z | null | false | 3fcd68096f6029dfefbe7f2b28c3038456e9d689 | [] | [] | https://huggingface.co/datasets/midas/cstr/resolve/main/README.md | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from english scientific papers. For more details about the dataset please refer the original paper - [https://dl.acm.org/doi/abs/10.1145/313238.313437](https://dl.acm.org/doi/abs/10.1145/313238.313437)
Original source of the ... |
midas | null | @inproceedings{10.5555/1620163.1620205,
author = {Wan, Xiaojun and Xiao, Jianguo},
title = {Single Document Keyphrase Extraction Using Neighborhood Knowledge},
year = {2008},
isbn = {9781577353683},
publisher = {AAAI Press},
booktitle = {Proceedings of the 23rd National Conference on Artificial Intelligence - Volume 2}... | \ | false | 9 | false | midas/duc2001 | 2022-01-23T06:13:06.000Z | null | false | e5e10a8cd8896bc9d9899625b7af430c062a58b0 | [] | [] | https://huggingface.co/datasets/midas/duc2001/resolve/main/README.md | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from english news articles. For more details about the dataset please refer the original paper - [https://dl.acm.org/doi/10.5555/1620163.1620205](https://dl.acm.org/doi/10.5555/1620163.1620205)
Original source of the data - [... |
midas | null | @inproceedings{hulth2003improved,
title={Improved automatic keyword extraction given more linguistic knowledge},
author={Hulth, Anette},
booktitle={Proceedings of the 2003 conference on Empirical methods in natural language processing},
pages={216--223},
year={2003}
} | Benchmark dataset for automatic identification of keyphrases from text published with the work - Improved automatic keyword extraction given more linguistic knowledge. Anette Hulth. In Proceedings of EMNLP 2003. p. 216-223. | false | 380 | false | midas/inspec | 2022-03-05T03:08:37.000Z | null | false | 9617780e99705df88a4cb239174c86b9d8d8300f | [] | [
"arxiv:1910.08840"
] | https://huggingface.co/datasets/midas/inspec/resolve/main/README.md | A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of English scientific papers. For more details about the dataset please refer the original paper - [https://dl.acm.org/doi/pdf/10.3115/1119355.1119383](https://dl.acm.org/doi/pdf/10.3115/1119355.1119383).
Data source - [https://gi... |
midas | null | @inproceedings{caragea-etal-2014-citation,
title = "Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach",
author = "Caragea, Cornelia and
Bulgarov, Florin Adrian and
Godea, Andreea and
Das Gollapalli, Sujatha",
booktitle = "Proceedings of the 2014 Conferen... | \ | false | 2 | false | midas/kdd | 2022-03-05T04:06:21.000Z | null | false | 0dbf0783978f44aa6a03acaf28868757bcbac0a4 | [] | [] | https://huggingface.co/datasets/midas/kdd/resolve/main/README.md | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of english scientific papers. For more details about the dataset please refer the original paper - [https://aclanthology.org/D14-1150.pdf](https://aclanthology.org/D14-1150.pdf)
Original source of the data - [](... |
midas | null | @InProceedings{meng-EtAl:2017:Long,
author = {Meng, Rui and Zhao, Sanqiang and Han, Shuguang and He, Daqing and Brusilovsky, Peter and Chi, Yu},
title = {Deep Keyphrase Generation},
booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Lon... | \ | false | 1,537 | false | midas/kp20k | 2022-02-07T07:59:09.000Z | null | false | 3ac0c1687480df275314f64a66248af973029027 | [] | [] | https://huggingface.co/datasets/midas/kp20k/resolve/main/README.md | A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of English scientific papers. For more details about the dataset please refer the original paper - [http://memray.me/uploads/acl17-keyphrase-generation.pdf](http://memray.me/uploads/acl17-keyphrase-generation.pdf).
Data source - [... |
midas | null | @misc{marujo2013supervised,
title={Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization},
author={Luis Marujo and Anatole Gershman and Jaime Carbonell and Robert Frederking and João P. Neto},
year={2013},
eprint={1306.4886}... | \ | false | 2 | false | midas/kpcrowd | 2022-02-12T05:52:48.000Z | null | false | 0532a67451ae1be349ee6a6c62b17c81f6cefab2 | [] | [] | https://huggingface.co/datasets/midas/kpcrowd/resolve/main/README.md | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from english news articles. For more details about the dataset please refer the original paper - [https://arxiv.org/abs/1306.4886](https://arxiv.org/abs/1306.4886)
Original source of the data - []()
## Dataset Structure
###... |
midas | null | @inproceedings{gallina2019kptimes,
title={KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documents},
author={Gallina, Ygor and Boudin, Florian and Daille, B{\'e}atrice},
booktitle={Proceedings of the 12th International Conference on Natural Language Generation},
pages={130--135},
year={2019}
... | \ | false | 4 | false | midas/kptimes | 2022-02-06T06:21:58.000Z | null | false | e8dc9af01653631fad51515b77dd39166445b732 | [] | [] | https://huggingface.co/datasets/midas/kptimes/resolve/main/README.md |
A dataset for benchmarking keyphrase extraction and generation techniques from news. For more details about the dataset please refer the original paper - [https://aclanthology.org/W19-8617.pdf](https://aclanthology.org/W19-8617.pdf)
Original source of the data - [https://github.com/ygorg/KPTimes](https://github.com/y... |
midas | null | @inproceedings{Krapivin2009LargeDF,
title={Large Dataset for Keyphrases Extraction},
author={Mikalai Krapivin and Aliaksandr Autaeu and Maurizio Marchese},
year={2009}
} | \ | false | 1 | false | midas/krapivin | 2022-01-10T06:52:51.000Z | null | false | 6657c24632b70981f244b7f3d0abfa1d07b62dbe | [] | [] | https://huggingface.co/datasets/midas/krapivin/resolve/main/README.md | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific papers. For more details about the dataset please refer the original paper - [https://www.semanticscholar.org/paper/Large-Dataset-for-Keyphrases-Extraction-Krapivin-Autaeu/2c56421ff3c2a698... |
midas | null | TBA | This new dataset is designed to solve kp NLP task and is crafted with a lot of care. | false | 1 | false | midas/ldkp10k | 2022-04-02T16:49:45.000Z | null | false | 5e73606ea32a9456e235015e11241a5dfd5da7d6 | [] | [] | https://huggingface.co/datasets/midas/ldkp10k/resolve/main/README.md | A dataset for benchmarking keyphrase extraction and generation techniques from long document English scientific papers. For more details about the dataset please refer the original paper - []().
Data source - []()
## Dataset Summary
## Dataset Structure
### Data Fields
- **id**: unique identifier of the documen... |
midas | null | TBA | This new dataset is designed to solve kp NLP task and is crafted with a lot of care. | false | 6 | false | midas/ldkp3k | 2022-09-27T18:29:25.000Z | null | false | 6f86fdd8ffcf1635ee7d47c65cf25ac7efd51f75 | [] | [] | https://huggingface.co/datasets/midas/ldkp3k/resolve/main/README.md | A dataset for benchmarking keyphrase extraction and generation techniques from long document English scientific papers. For more details about the dataset please refer the original paper - []().
Data source - []()
## Dataset Summary
## Dataset Structure
### Data Fields
- **id**: unique identifier of the documen... |
midas | null | @InProceedings{10.1007/978-3-540-77094-7_41,
author="Nguyen, Thuy Dung
and Kan, Min-Yen",
editor="Goh, Dion Hoe-Lian
and Cao, Tru Hoang
and Solvberg, Ingeborg Torvik
and Rasmussen, Edie",
title="Keyphrase Extraction in Scientific Publications",
booktitle="Asian Digital Libraries. Looking Back 10 Years and Forging New F... | \ | false | 6 | false | midas/nus | 2022-03-05T03:35:59.000Z | null | false | 690ccba1cd830e0343e7eaec3a0c22bfd88dd949 | [] | [] | https://huggingface.co/datasets/midas/nus/resolve/main/README.md | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific papers. For more details about the dataset please refer the original paper - [https://www.comp.nus.edu.sg/~kanmy/papers/icadl2007.pdf](https://www.comp.nus.edu.sg/~kanmy/papers/icadl2007.p... |
midas | null | @inproceedings{Xiong2019OpenDW,
title={Open Domain Web Keyphrase Extraction Beyond Language Modeling},
author={Lee Xiong and Chuan Hu and Chenyan Xiong and Daniel Fernando Campos and Arnold Overwijk},
booktitle={EMNLP},
year={2019}
} | \ | false | 9 | false | midas/openkp | 2022-01-09T17:01:43.000Z | null | false | 8982466c7faa3c4aab9d117b6f238bc62d523c2f | [] | [] | https://huggingface.co/datasets/midas/openkp/resolve/main/README.md | ## Dataset Summary
Original source - [https://github.com/microsoft/OpenKP](https://github.com/microsoft/OpenKP)
## Dataset Structure
### Data Fields
- **id**: unique identifier of the document.
- **document**: Whitespace separated list of words in the document.
- **doc_bio_tags**: BIO tags for each word in the docu... |
midas | null | @inproceedings{Schutz2008KeyphraseEF,
title={Keyphrase Extraction from Single Documents in the Open Domain Exploiting Linguistic and Statistical Methods},
author={Alexander Schutz},
year={2008}
} | \ | false | 1 | false | midas/pubmed | 2022-03-05T03:59:56.000Z | null | false | f2dbc6b1aea3c53dfe27b6471158c3ccaaaeb091 | [] | [] | https://huggingface.co/datasets/midas/pubmed/resolve/main/README.md | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific papers. For more details about the dataset please refer the original paper - [https://www.semanticscholar.org/paper/Keyphrase-Extraction-from-Single-Documents-in-the-Schutz/08b75d31a90f206... |
midas | null | @inproceedings{10.5555/1859664.1859668,
author = {Kim, Su Nam and Medelyan, Olena and Kan, Min-Yen and Baldwin, Timothy},
title = {SemEval-2010 Task 5: Automatic Keyphrase Extraction from Scientific Articles},
year = {2010},
publisher = {Association for Computational Linguistics},
address = {USA},
abstract = {This pape... | \ | false | 31 | false | midas/semeval2010 | 2022-03-05T03:24:16.000Z | null | false | 7933201e69f12fa015074ec28bc6c6721880c299 | [] | [
"arxiv:1910.08840"
] | https://huggingface.co/datasets/midas/semeval2010/resolve/main/README.md |
A dataset for benchmarking keyphrase extraction and generation techniques from long document english scientific articles. For more details about the dataset please refer the original paper - [https://dl.acm.org/doi/10.5555/1859664.1859668](https://dl.acm.org/doi/10.5555/1859664.1859668)
Original source of the data - ... |
midas | null | @article{DBLP:journals/corr/AugensteinDRVM17,
author = {Isabelle Augenstein and
Mrinal Das and
Sebastian Riedel and
Lakshmi Vikraman and
Andrew McCallum},
title = {SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations
... | \ | false | 22 | false | midas/semeval2017 | 2022-03-05T03:27:44.000Z | null | false | d0e60069bbcd0c0bdd4127eb52494e928b765103 | [] | [
"arxiv:1704.02853",
"arxiv:1910.08840"
] | https://huggingface.co/datasets/midas/semeval2017/resolve/main/README.md | A dataset for benchmarking keyphrase extraction and generation techniques from abstracts of english scientific articles. For more details about the dataset please refer the original paper - [https://arxiv.org/abs/1704.02853](https://arxiv.org/abs/1704.02853)
Original source of the data - [https://scienceie.github.io/]... |
midas | null | @inproceedings{caragea-etal-2014-citation,
title = "Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach",
author = "Caragea, Cornelia and
Bulgarov, Florin Adrian and
Godea, Andreea and
Das Gollapalli, Sujatha",
booktitle = "Proceedings of the 2014 Conferen... | \ | false | 3 | false | midas/www | 2022-02-11T22:49:09.000Z | null | false | e1242dcb068c73051541188b911aa0ea2f297e02 | [] | [] | https://huggingface.co/datasets/midas/www/resolve/main/README.md | ## Dataset Summary
A dataset for benchmarking keyphrase extraction and generation techniques from abstract of english scientific articles. For more details about the dataset please refer the original paper - [https://aclanthology.org/D14-1150/](https://aclanthology.org/D14-1150/)
Original source of the data - []()
... |
mideind | null | null | null | false | 2 | false | mideind/icelandic-common-crawl-corpus-IC3 | 2022-10-22T15:44:37.000Z | null | false | a9bbb2728beebe8168ae226c60459cdf5a39342a | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:is",
"license:unknown",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"task_categories:text-generation",
"task_ids:language-modeling"
] | https://huggingface.co/datasets/mideind/icelandic-common-crawl-corpus-IC3/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- is
license:
- unknown
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
pretty_name: Icelandic Common Crawl Corpus - IC3
---
This is the ... |
mideind | null | null | The Icelandic Error Corpus (IceEC) is a collection of texts in modern Icelandic annotated for mistakes related to spelling, grammar, and other issues. The texts are organized by genre. The current version includes sentences from student essays, online news texts and Wikipedia articles.
Sentences within texts in the stu... | false | 24 | false | mideind/icelandic-error-corpus-IceEC | 2022-10-25T09:51:04.000Z | null | false | 6f1df59ddca5d65f3bd6c822f384e2ea8b5f7c3b | [] | [
"annotations_creators:expert-generated",
"language:is",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original"
] | https://huggingface.co/datasets/mideind/icelandic-error-corpus-IceEC/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language:
- is
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
pretty_name: Icelandic Error Corpus
---
# Icelandic Error Corpus
Refer to [https://github.com/antonkarl/iceErrorCorpus](https://github.com/antonkar... |
ml6team | null | @article{DBLP:journals/corr/SeeLM17,
author = {Abigail See and
Peter J. Liu and
Christopher D. Manning},
title = {Get To The Point: Summarization with Pointer-Generator Networks},
journal = {CoRR},
volume = {abs/1704.04368},
year = {2017},
url = {http://a... | This dataset is the CNN/Dailymail dataset translated to Dutch.
This is the original dataset:
```
load_dataset("cnn_dailymail", '3.0.0')
```
And this is the HuggingFace translation pipeline:
```
pipeline(
task='translation_en_to_nl',
model='Helsinki-NLP/opus-mt-en-nl',
... | false | 19 | false | ml6team/cnn_dailymail_nl | 2022-10-22T14:03:06.000Z | null | false | eccff1c84ba55f542a1f003ef9a621da692e1380 | [] | [
"annotations_creators:no-annotation",
"language_creators:found",
"language:nl",
"license:mit",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:https://github.com/huggingface/datasets/tree/master/datasets/cnn_dailymail",
"task_ids:summarization"
] | https://huggingface.co/datasets/ml6team/cnn_dailymail_nl/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- nl
license:
- mit
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- https://github.com/huggingface/datasets/tree/master/datasets/cnn_dailymail
task_categories:
- conditional-text-generation
task_ids:
- summariz... |
ml6team | null | null | null | false | 2 | false | ml6team/xsum_nl | 2022-10-22T14:47:41.000Z | null | false | fc98c1ee39d3a8d02483d10d0b08e3e2d591ed1b | [] | [
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"language:nl",
"language_bcp47:nl-BE",
"license:unknown",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:extended|xsum",
"task_ids:summarization"
] | https://huggingface.co/datasets/ml6team/xsum_nl/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- nl
language_bcp47:
- nl-BE
license:
- unknown
multilinguality:
- monolingual
pretty_name: XSum NL
size_categories:
- unknown
source_datasets:
- extended|xsum
task_categories:
- conditional-text-generation
task_ids:
- summar... |
mldmm | null | null | This is an alloy composition dataset | false | 1 | false | mldmm/glass_alloy_composition | 2021-06-14T18:24:14.000Z | null | false | 30d4fcc274a0c1527f1d331b41d836d51dc3bc84 | [] | [] | https://huggingface.co/datasets/mldmm/glass_alloy_composition/resolve/main/README.md | |
mmcquade11-test | null | null | null | false | 1 | false | mmcquade11-test/reuters-for-summarization-two | 2021-11-30T16:49:22.000Z | null | false | 765eb565ac8ae91267817425017ad7b81829f06f | [] | [] | https://huggingface.co/datasets/mmcquade11-test/reuters-for-summarization-two/resolve/main/README.md | Reuters model for demo |
mnemlaghi | null | \ | WiDDD stands for WIkiData Disambig with Descriptions. The former dataset comes from [Cetoli & al](https://arxiv.org/pdf/1810.09164.pdf) paper, and is aimed at solving Named Entity Disambiguation. This datasets tries to extract relevant information from entities descriptions only, instead of working with graphs. In ord... | false | 2 | false | mnemlaghi/widdd | 2022-10-22T15:02:03.000Z | null | false | a13e63b05aa133aae304a4f190cbe680412dbe30 | [] | [
"arxiv:1810.09164",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"language:en",
"license:apache-2.0",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"task_ids:wikidata-disambiguation"
] | https://huggingface.co/datasets/mnemlaghi/widdd/resolve/main/README.md | ---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: Wikidisamb Dataset with Descriptions
size_categories:
- 100K<n<1M
source_datasets: []
task_categories:
- named-entity-disambiguation
task_ids:
- wikidata... |
mostol | null | null | null | false | 1 | false | mostol/wiktionary-ipa | 2022-02-02T17:30:11.000Z | null | false | 12d1c4b52a0e7468d8c740398f7960dcd7f3eae1 | [] | [] | https://huggingface.co/datasets/mostol/wiktionary-ipa/resolve/main/README.md | Pronunciation information pulled from wiktionary.org. |
mr-robot | null | null | null | false | 1 | false | mr-robot/ec | 2021-08-09T20:22:21.000Z | null | false | 649dd8041e8074738c81be5dce2c7ff6b32d7d4b | [] | [] | https://huggingface.co/datasets/mr-robot/ec/resolve/main/README.md | kmsdkmksm |
mrm8488 | null | null | null | false | 7 | false | mrm8488/goemotions | 2021-12-28T17:49:54.000Z | null | false | bd3ed9a7817b7a9f0742593ac893ab7b2dc2b996 | [] | [
"arxiv:2005.00547"
] | https://huggingface.co/datasets/mrm8488/goemotions/resolve/main/README.md | # GoEmotions
**GoEmotions** is a corpus of 58k carefully curated comments extracted from Reddit,
with human annotations to 27 emotion categories or Neutral.
* Number of examples: 58,009.
* Number of labels: 27 + Neutral.
* Maximum sequence length in training and evaluation datasets: 30.
On top of the raw data, we al... |
mrp | null | null | null | false | 2 | false | mrp/Thai-Semantic-Textual-Similarity-Benchmark | 2021-11-29T06:15:34.000Z | null | false | f94bfc7e593334581ceb28962278ce43e0afe4af | [] | [] | https://huggingface.co/datasets/mrp/Thai-Semantic-Textual-Similarity-Benchmark/resolve/main/README.md | Sentence representation plays a crucial role in NLP downstream tasks such as NLI, text classification, and STS. Recent sentence representation training techniques require NLI or STS datasets. However, there are no equivalent Thai NLI or STS datasets for sentence representation training.
To address this problem we provi... |
msarmi9 | null | null | null | false | 416 | false | msarmi9/korean-english-multitarget-ted-talks-task | 2022-10-22T15:05:15.000Z | null | false | d29aba88703a445763c2ff7344b2de28960d3554 | [] | [
"annotations_creators:expert-generated",
"language_creators:other",
"language:en",
"language:ko",
"language_bcp47:en-US",
"language_bcp47:ko-KR",
"license:cc-by-nc-nd-4.0",
"multilinguality:translation",
"multilinguality:multilingual",
"task_ids:machine-translation"
] | https://huggingface.co/datasets/msarmi9/korean-english-multitarget-ted-talks-task/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- other
language:
- en
- ko
language_bcp47:
- en-US
- ko-KR
license:
- cc-by-nc-nd-4.0
multilinguality:
- translation
- multilingual
pretty_name: English-Korean Multitarget Ted Talks Task (MTTT)
task_categories:
- conditional-text-generation
task_ids:
- ma... |
mtfelix | null | null | null | false | 2 | false | mtfelix/datasetdemo | 2022-02-14T10:09:12.000Z | null | false | 978a45cb5c1c78bb4e8f03d22c17138b38d6a15c | [] | [] | https://huggingface.co/datasets/mtfelix/datasetdemo/resolve/main/README.md | this is my test demo |
muhtasham | null | null | null | false | 1 | false | muhtasham/autonlp-data-Doctor_DE | 2022-10-27T18:52:42.000Z | null | false | 59a8c8289335ea176c54284b6462746b6dc4e9c3 | [] | [
"language:de",
"task_categories:text-classification",
"task_ids:text-scoring"
] | https://huggingface.co/datasets/muhtasham/autonlp-data-Doctor_DE/resolve/main/README.md | ---
language:
- de
task_categories:
- text-classification
task_ids:
- text-scoring
---
# AutoNLP Dataset for project: Doctor_DE
## Table of content
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Field... |
indonesian-nlp | null | @article{JMLR:v21:20-074,
author = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
journal = {Journal of Machine Learn... | A thoroughly cleaned version of the Italian portion of the multilingual
colossal, cleaned version of Common Crawl's web crawl corpus (mC4) by AllenAI.
Based on Common Crawl dataset: "https://commoncrawl.org".
This is the processed version of Google's mC4 dataset by AllenAI, with further cleaning
detailed in the reposi... | false | 36 | false | indonesian-nlp/mc4-id | 2022-10-25T11:52:34.000Z | mc4 | false | 38479a7a477f2388e20048c6161dc3b122575ea9 | [] | [
"arxiv:1910.10683",
"annotations_creators:no-annotation",
"language_creators:found",
"language:id",
"license:odc-by",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"size_categories:10M<n<100M",
"size_categories:100M<n<1B",
"source_datasets:extended",
"task_categories:text-generation... | https://huggingface.co/datasets/indonesian-nlp/mc4-id/resolve/main/README.md | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- id
license:
- odc-by
multilinguality:
- monolingual
size_categories:
tiny:
- 1M<n<10M
small:
- 10M<n<100M
medium:
- 10M<n<100M
large:
- 10M<n<100M
full:
- 100M<n<1B
source_datasets:
- extended
task_categories:
- text-ge... |
mustafa12 | null | null | null | false | 2 | false | mustafa12/db_ee | 2021-03-07T09:20:06.000Z | null | false | 5a267c00ebafb624847136d25503824f1bf66b4e | [] | [] | https://huggingface.co/datasets/mustafa12/db_ee/resolve/main/README.md | https://vouproifsc.com/forums/topic/watch-tom-jerry-2021-full-movie-hd-online-free/
https://vouproifsc.com/forums/topic/watch-boogie-2021-full-movie-hd-online-free/
https://vouproifsc.com/forums/topic/watch-crazy-about-her-2021-full-movie-hd-online-free/
https://vouproifsc.com/forums/topic/watch-coming-2-america-2021-f... |
mustafa12 | null | null | null | false | 1 | false | mustafa12/edaaaas | 2021-03-08T09:46:55.000Z | null | false | c3e0a0f06a7d3c167b0017da0bd4ab6f89845348 | [] | [] | https://huggingface.co/datasets/mustafa12/edaaaas/resolve/main/README.md | https://www.wda.org/advert/watch-tom-jerry-2021-full-hd-movie-online-free-123movies
https://www.wda.org/advert/watch-the-little-things-2021-full-hd-movie-online-free-123movies
https://www.wda.org/advert/watch-raya-and-the-last-dragon-2021-full-hd-movie-online-free-123movies
https://www.wda.org/advert/watch-i-care-a-lot... |
mustafa12 | null | null | null | false | 2 | false | mustafa12/thors | 2021-03-08T08:21:22.000Z | null | false | a316e3aea1723cec211ab9576ba5cb26ed1f3650 | [] | [] | https://huggingface.co/datasets/mustafa12/thors/resolve/main/README.md | https://www.sparkblue.org/content/watch-tom-jerry-2021-full-hd-movie-online-free-123movies
https://www.sparkblue.org/content/watch-little-things-2021-full-hd-movie-online-free-123movies
https://www.sparkblue.org/content/watch-raya-and-last-dragon-2021-full-hd-movie-online-free-123movies
https://www.sparkblue.org/conten... |
mvarma | null | @inproceedings{medwiki,
title={Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text},
author={Maya Varma and Laurel Orr and Sen Wu and Megan Leszczynski and Xiao Ling and Christopher Ré},
year={2021},
booktitle={Findings of the Association for Computational Linguistics: EMNL... | MedWiki is a large-scale sentence dataset collected from Wikipedia with medical entity (UMLS) annotations. This dataset is intended for pretraining. | false | 27 | false | mvarma/medwiki | 2022-10-25T09:51:06.000Z | null | false | 7d9f19d0cb4e7dcedfe2dafdda3ac8d6b7c9dbd9 | [] | [
"arxiv:2110.08228",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"language:en-US",
"language:en",
"license:cc-by-4.0",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:extended|wikipedia",
"task_categories:text-retrieval",
"task_ids:entity... | https://huggingface.co/datasets/mvarma/medwiki/resolve/main/README.md | ---
YAML tags:
annotations_creators:
- machine-generated
language_creators:
- crowdsourced
language:
- en-US
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: medwiki
size_categories:
- unknown
source_datasets:
- extended|wikipedia
task_categories:
- text-retrieval
task_ids:
- entity-linking-retriev... |
nateraw | null | null | null | false | 1 | false | nateraw/auto-cats-and-dogs | 2021-07-13T07:32:53.000Z | null | false | 17db4400fa937c9dd52800668889868c27cc3e78 | [] | [
"task_categories:other",
"task_ids:other-image-classification",
"task_ids:image-classification",
"tags:auto-generated",
"tags:image-classification"
] | https://huggingface.co/datasets/nateraw/auto-cats-and-dogs/resolve/main/README.md |
---
task_categories:
- other
task_ids:
- other-image-classification
- image-classification
tags:
- auto-generated
- image-classification
---
# 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... |
nateraw | null | null | null | false | 2 | false | nateraw/auto-exp-2 | 2021-07-13T07:10:47.000Z | null | false | 99a546c99789ddb50b46a4bb0842a373417869e7 | [] | [
"task_categories:other",
"task_ids:other-image-classification",
"task_ids:image-classification",
"tags:auto-generated",
"tags:image-classification"
] | https://huggingface.co/datasets/nateraw/auto-exp-2/resolve/main/README.md |
---
task_categories:
- other
task_ids:
- other-image-classification
- image-classification
tags:
- auto-generated
- image-classification
---
# 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, '... |
nateraw | null | @ONLINE {beansdata,
author="Makerere AI Lab",
title="Bean disease dataset",
month="January",
year="2020",
url="https://github.com/AI-Lab-Makerere/ibean/"
} | Beans is a dataset of images of beans taken in the field using smartphone
cameras. It consists of 3 classes: 2 disease classes and the healthy class.
Diseases depicted include Angular Leaf Spot and Bean Rust. Data was annotated
by experts from the National Crops Resources Research Institute (NaCRRI) in
Uganda and colle... | false | 2 | false | nateraw/beans | 2022-10-20T18:41:18.000Z | null | false | 39a11e7de3ab785716b391fc8fc838a0f726e99f | [] | [
"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"
] | https://huggingface.co/datasets/nateraw/beans/resolve/main/README.md | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- mit
multilinguality:
- monolingual
pretty_name: Beans
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- other
task_ids:
- other-other-image-classification
---
# Dataset Card for Beans
... |
nateraw | null | @Inproceedings (Conference){asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization,
author = {Elson, Jeremy and Douceur, John (JD) and Howell, Jon and Saul, Jared},
title = {Asirra: A CAPTCHA that Exploits Interest-Aligned Manual Image Categorization},
booktitle = {Proceedings of 14th A... | null | false | 1 | false | nateraw/cats_vs_dogs | 2022-10-20T18:41:56.000Z | null | false | d5ac15662db602ebfe4dfc8a0b1f8e83f1eefb73 | [] | [
"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"
] | https://huggingface.co/datasets/nateraw/cats_vs_dogs/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- unknown
multilinguality:
- monolingual
pretty_name: Cats and Dogs
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- other
task_ids:
- other-other-image-classification
---
# Dataset Card for C... |
nateraw | null | @inproceedings{bossard14,
title = {Food-101 -- Mining Discriminative Components with Random Forests},
author = {Bossard, Lukas and Guillaumin, Matthieu and Van Gool, Luc},
booktitle = {European Conference on Computer Vision},
year = {2014}
} | null | false | 2 | false | nateraw/food101 | 2022-07-08T07:06:41.000Z | food-101 | false | 78e957f531bb24e2643ba7a6ab0559662f3dc44f | [] | [
"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-classification"
] | https://huggingface.co/datasets/nateraw/food101/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- unknown
multilinguality:
- monolingual
pretty_name: food101
size_categories:
- 10K<n<100K
source_datasets:
- extended|other-foodspotting
task_categories:
- other
task_ids:
- other-other-image-classification
paperswithco... |
nateraw | null | null | null | false | 1 | false | nateraw/food101_old | 2022-10-20T18:42:51.000Z | food-101 | false | 47d92ad8822b9f56f18140e076404aeb2f82ba3e | [] | [
"annotations_creators:crowdsourced",
"license:unknown",
"size_categories:10K<n<100K",
"source_datasets:extended|other-foodspotting",
"task_categories:other",
"task_ids:other-other-image-classification"
] | https://huggingface.co/datasets/nateraw/food101_old/resolve/main/README.md | ---
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
---
# Dataset Card for Food-101
## Table of Conten... |
nateraw | null | null | null | false | 2 | false | nateraw/sync_food101 | 2022-10-20T18:43:25.000Z | food-101 | false | dd9e3373392d977d103f2d1b6cfd2871ccd1d834 | [] | [
"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-classification"
] | https://huggingface.co/datasets/nateraw/sync_food101/resolve/main/README.md | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- unknown
multilinguality:
- monolingual
pretty_name: food101
size_categories:
- 10K<n<100K
source_datasets:
- extended|other-foodspotting
task_categories:
- other
task_ids:
- other-other-image-classification
paperswithco... |
naver-clova-conversation | null | null | null | false | 2 | false | naver-clova-conversation/klue-tc-dev-tsv | 2021-05-26T06:54:08.000Z | null | false | 383f1d16508290badc0a0ab668c7a378333e3ad6 | [] | [] | https://huggingface.co/datasets/naver-clova-conversation/klue-tc-dev-tsv/resolve/main/README.md | 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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