id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 6.67k ⌀ | citation stringlengths 0 10.7k ⌀ | likes int64 0 3.66k | downloads int64 0 8.89M | created timestamp[us] | card stringlengths 11 977k | card_len int64 11 977k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|
tasksource/com2sense | 2023-06-05T10:09:30.000Z | [
"language:en",
"commonsense",
"region:us"
] | tasksource | null | null | 1 | 72 | 2023-06-02T14:47:54 | ---
language:
- en
tags:
- commonsense
---
https://github.com/PlusLabNLP/Com2Sense
```
@inproceedings{singh-etal-2021-com2sense,
title = "{COM}2{SENSE}: A Commonsense Reasoning Benchmark with Complementary Sentences",
author = "Singh, Shikhar and
Wen, Nuan and
Hou, Yu and
Alipoormolabashi, ... | 745 | [
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laion/strategic_game_chess | 2023-10-20T04:14:20.000Z | [
"license:cc-by-4.0",
"game",
"region:us"
] | laion | null | null | 9 | 72 | 2023-06-06T02:09:13 | ---
tags:
- game
pretty_name: The Chess Dataset
license: cc-by-4.0
---
# Chess
> Recent advancements in artificial intelligence (AI) underscore the progress of reasoning and planning shown by recent generalist machine learning (ML) models. The progress can be boosted by datasets that can further boost these generic c... | 2,171 | [
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clarin-knext/scifact-pl-qrels | 2023-06-07T08:25:00.000Z | [
"task_categories:sentence-similarity",
"language:pl",
"license:cc-by-sa-4.0",
"arxiv:2305.19840",
"region:us"
] | clarin-knext | null | null | 0 | 72 | 2023-06-06T17:09:44 | ---
license: cc-by-sa-4.0
task_categories:
- sentence-similarity
language:
- pl
---
Part of **BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language**.
Link to arxiv: https://arxiv.org/pdf/2305.19840.pdf
Contact: konrad.wojtasik@pwr.edu.pl | 262 | [
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eReverter/cnn_dailymail_extractive | 2023-07-19T18:45:02.000Z | [
"task_categories:summarization",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"arxiv:1903.10318",
"region:us"
] | eReverter | null | null | 0 | 72 | 2023-07-19T15:28:20 | ---
dataset_info:
features:
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num_bytes: 6220055... | 2,859 | [
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dim/SlimOrcaEN | 2023-10-18T23:56:44.000Z | [
"region:us"
] | dim | null | null | 0 | 72 | 2023-10-18T23:54:18 | ---
dataset_info:
features:
- name: conversations
list:
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datas... | 593 | [
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lavis-nlp/german_legal_sentences | 2022-10-20T18:34:19.000Z | [
"task_categories:text-retrieval",
"task_ids:semantic-similarity-scoring",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:n>1M",
"source_datasets:original",
"language:de",
"license:unknown",
"arxiv:2005.13342",
"arxiv:2010.1025... | lavis-nlp | German Legal Sentences (GLS) is an automatically generated training dataset for semantic sentence
matching in the domain in german legal documents. It follows the concept of weak supervision, where
imperfect labels are generated using multiple heuristics. For this purpose we use a combination of
legal citation match... | coming soon | 3 | 71 | 2022-03-02T23:29:22 | ---
annotations_creators:
- machine-generated
language_creators:
- found
language:
- de
license:
- unknown
multilinguality:
- monolingual
size_categories:
- n>1M
source_datasets:
- original
task_categories:
- text-retrieval
- text-scoring
task_ids:
- semantic-similarity-scoring
- text-retrieval-other-example-based-retr... | 7,971 | [
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bazyl/GTSRB | 2022-10-25T10:39:19.000Z | [
"task_categories:image-classification",
"task_ids:multi-label-image-classification",
"annotations_creators:crowdsourced",
"language_creators:found",
"size_categories:10K<n<100K",
"source_datasets:original",
"license:gpl-3.0",
"region:us"
] | bazyl | null | null | 0 | 71 | 2022-06-25T00:30:19 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language: []
license:
- gpl-3.0
multilinguality: []
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- image-classification
task_ids:
- multi-label-image-classification
pretty_name: GTSRB
---
# Dataset Card for GTSRB
## Tabl... | 4,829 | [
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jakartaresearch/semeval-absa | 2022-08-14T05:38:21.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"aspect-based-sentiment-analysis",
"seme... | jakartaresearch | This dataset is built as a playground for aspect-based sentiment analysis. | null | 1 | 71 | 2022-08-14T05:35:35 | ---
annotations_creators:
- found
language:
- en
language_creators:
- found
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: 'SemEval 2015: Aspect-based Sentiement Analysis'
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- aspect-based-sentiment-analysis
- semeval
- semeval2015
task_categ... | 3,556 | [
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truongpdd/vietnamese_story | 2022-09-23T04:44:26.000Z | [
"region:us"
] | truongpdd | null | null | 0 | 71 | 2022-09-23T04:43:49 | Entry not found | 15 | [
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taln-ls2n/kpbiomed | 2022-12-01T10:52:09.000Z | [
"task_categories:text-generation",
"annotations_creators:unknown",
"language_creators:unknown",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"language:en",
"license:cc-by-nc-4.0",
"arxiv:2211.12124",
"region:us"
] | taln-ls2n | KPBiomed benchmark dataset for keyphrase extraction an generation. | \ | 3 | 71 | 2022-10-26T13:41:01 | ---
annotations_creators:
- unknown
language_creators:
- unknown
language:
- en
license:
- cc-by-nc-4.0
multilinguality:
- monolingual
task_categories:
- text-mining
- text-generation
task_ids:
- keyphrase-generation
- keyphrase-extraction
size_categories:
- 100K<n<1M
pretty_name: KP-Biomed
---
# KPBiomed, A Large-Sca... | 3,190 | [
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timbrooks/instructpix2pix-clip-filtered | 2023-03-02T11:19:16.000Z | [
"size_categories:100K<n<1M",
"language:en",
"arxiv:2211.09800",
"region:us"
] | timbrooks | null | null | 11 | 71 | 2023-02-24T14:55:53 | ---
dataset_info:
features:
- name: original_prompt
dtype: string
- name: original_image
dtype: image
- name: edit_prompt
dtype: string
- name: edited_prompt
dtype: string
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dtype: image
splits:
- name: train
num_bytes: 130930966429.88
num_examples: 313010
... | 3,510 | [
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TimoImhof/TriviaQA-in-SQuAD-format | 2023-04-01T13:43:14.000Z | [
"region:us"
] | TimoImhof | null | null | 0 | 71 | 2023-03-28T08:48:36 | ---
dataset_info:
features:
- name: id
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struct:
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sequence: int64
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sequence: string
splits:
- name: unmodified
num_bytes: 22886661
num_exampl... | 720 | [
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taka-yayoi/databricks-dolly-15k-ja | 2023-04-17T09:18:13.000Z | [
"license:cc-by-sa-3.0",
"region:us"
] | taka-yayoi | null | null | 2 | 71 | 2023-04-17T08:58:32 | ---
license: cc-by-sa-3.0
---
こちらのデータセットを活用させていただき、Dollyのトレーニングスクリプトで使えるように列名の変更とJSONLへの変換を行っています。
https://huggingface.co/datasets/kunishou/databricks-dolly-15k-ja
Dolly
https://github.com/databrickslabs/dolly | 213 | [
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gimmaru/glue-sst2 | 2023-05-08T03:00:47.000Z | [
"region:us"
] | gimmaru | null | null | 0 | 71 | 2023-05-08T03:00:07 | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: label
dtype:
class_label:
names:
'0': negative
'1': positive
- name: idx
dtype: int32
splits:
- name: validation
num_bytes: 106252
num_examples: 872
download_size: 0
dataset_size: 106... | 491 | [
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ThraggBilly/flickr30k_dataset | 2023-05-09T17:31:11.000Z | [
"region:us"
] | ThraggBilly | null | null | 0 | 71 | 2023-05-09T17:26:42 | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
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num_bytes: 4178820473.876
num_examples: 31783
download_size: 4402850196
dataset_size: 4178820473.876
---
# Dataset Card for "test_dataset3"
[More Information needed](https://github.com/... | 406 | [
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napsternxg/nyt_ingredients | 2023-10-07T00:45:48.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"language:en",
"license:apache-2.0",
"recipe",
"ingredients",
"region:us"
] | napsternxg | New York Times Ingredient Phrase Tagger Dataset
We use a conditional random field model (CRF) to extract tags from labelled training data, which was tagged by human news assistants.
e wrote about our approach on the [New York Times Open blog](http://open.blogs.nytimes.com/2015/04/09/extracting-structured-data-from-rec... | @misc{nytimesTaggedIngredients,
author = {Erica Greene and Adam Mckaig},
title = {{O}ur {T}agged {I}ngredients {D}ata is {N}ow on {G}it{H}ub --- archive.nytimes.com},
howpublished = {\\url{https://archive.nytimes.com/open.blogs.nytimes.com/2016/04/27/structured-ingredients-data-tagging/}},
year = {},
note = {[Acce... | 0 | 71 | 2023-06-11T16:53:58 | ---
annotations_creators:
- expert-generated
language:
- en
language_creators:
- found
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: nyt_ingredients
size_categories:
- 100K<n<1M
source_datasets: []
tags:
- recipe
- ingredients
task_categories:
- token-classification
task_ids:
- named-entity-recognit... | 1,257 | [
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0... |
mlfoundations/datacomp_1b | 2023-08-21T21:43:05.000Z | [
"license:cc-by-4.0",
"region:us"
] | mlfoundations | null | null | 5 | 71 | 2023-06-11T20:12:44 | ---
license: cc-by-4.0
---
## DataComp-1B
This repository contains metadata files for DataComp-1B. For details on how to use the metadata, please visit [our website](https://www.datacomp.ai/) and our [github repository](https://github.com/mlfoundations/datacomp).
We distribute the image url-text samples and metadata... | 985 | [
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0.01963806152... |
csebuetnlp/dailydialogue_bn | 2023-07-22T07:41:50.000Z | [
"task_categories:conversational",
"task_categories:text-generation",
"task_categories:text2text-generation",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:extended",
"language:bn",
"license:cc-by-nc... | csebuetnlp | DailyDialogue (bengali) has been derived from the original English dataset. | @inproceedings{bhattacharjee-etal-2023-banglanlg,
title = "{B}angla{NLG} and {B}angla{T}5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in {B}angla",
author = "Bhattacharjee, Abhik and
Hasan, Tahmid and
Ahmad, Wasi Uddin and
Shahriyar, Rifat",
booktit... | 2 | 71 | 2023-07-15T08:52:05 | ---
annotations_creators:
- machine-generated
language_creators:
- found
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended
task_categories:
- conversational
- text-generation
- text2text-generation
language:
- bn
license:
- cc-by-nc-sa-4.0
---
# Dataset Card for `dailydialog... | 7,367 | [
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Trelis/function_calling_extended | 2023-10-30T11:06:37.000Z | [
"task_categories:question-answering",
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:n<1K",
"language:en",
"function call",
"function calling",
"function-calling",
"region:us"
] | Trelis | null | null | 19 | 71 | 2023-07-31T10:44:02 | ---
task_categories:
- question-answering
- conversational
- text-generation
language:
- en
tags:
- function call
- function calling
- function-calling
size_categories:
- n<1K
extra_gated_prompt: "Access to this dataset requires the purchase of a license [here](https://buy.stripe.com/fZeeVG5tP2Hxg7ecNj)"
extra_gated_fi... | 11,909 | [
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DynamicSuperb/SpoofDetection_ASVspoof2015 | 2023-10-19T04:49:24.000Z | [
"region:us"
] | DynamicSuperb | null | null | 0 | 71 | 2023-08-11T11:03:56 | ---
dataset_info:
features:
- name: file
dtype: string
- name: audio
struct:
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sequence: float64
- name: path
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erfanzar/UltraChat-Mini | 2023-09-07T12:13:32.000Z | [
"region:us"
] | erfanzar | null | null | 0 | 71 | 2023-09-07T12:04:50 | ---
configs:
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data_files:
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path: data/train-*
dataset_info:
features:
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sequence: string
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fiveflow/psychology-dataset-v2 | 2023-10-10T05:03:48.000Z | [
"region:us"
] | fiveflow | null | null | 0 | 71 | 2023-10-10T03:18:11 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
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---
# Dataset Card for "psychology-dataset-v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#... | 359 | [
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ehartford/ultrachat-uncensored | 2023-10-23T05:29:16.000Z | [
"license:mit",
"region:us"
] | ehartford | null | null | 12 | 71 | 2023-10-12T05:25:04 | ---
license: mit
---
This is based on ultrachat dataset https://huggingface.co/datasets/stingning/ultrachat
I filtered it using the classic "unfiltered" keywords list https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered to remove instances of refusals and bias
About 90% of the dataset was remove... | 503 | [
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pavitemple/Xclip-finetuning | 2023-10-24T13:31:20.000Z | [
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haseong8012/child-10k | 2023-10-16T15:06:18.000Z | [
"region:us"
] | haseong8012 | null | null | 0 | 71 | 2023-10-16T14:20:16 | ---
configs:
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data_files:
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path: data/train-*
dataset_info:
features:
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sequence: float32
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anhz/finetune_data | 2023-11-02T10:10:50.000Z | [
"region:us"
] | anhz | null | null | 0 | 71 | 2023-10-20T02:41:16 | Entry not found | 15 | [
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sayakpaul/drawbench | 2023-10-21T05:25:29.000Z | [
"license:apache-2.0",
"region:us"
] | sayakpaul | null | null | 2 | 71 | 2023-10-21T05:24:45 | ---
license: apache-2.0
---
DrawBench dataset from [Imagen](https://imagen.research.google/). | 94 | [
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bodrum/fen-isleri-mudurlugu-netigma-dataset | 2023-10-23T00:50:22.000Z | [
"region:us"
] | bodrum | null | null | 1 | 71 | 2023-10-23T00:49:59 | Entry not found | 15 | [
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Geonmo/deepfashion-multimodal-descriptions | 2023-10-30T07:58:32.000Z | [
"region:us"
] | Geonmo | null | null | 0 | 71 | 2023-10-30T07:58:29 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
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num_bytes: 9586020
num_examples: 40770
download_size: 2270474
dataset_size: 9586020
---
# Dataset Card for "deepfashion-multimodal-descriptions"
[More Information needed](https://github.com/huggingface/datasets/blob/ma... | 378 | [
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Geonmo/deepfashion-multimodal-descriptions-split | 2023-10-30T08:06:07.000Z | [
"region:us"
] | Geonmo | null | null | 0 | 71 | 2023-10-30T08:06:04 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
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num_bytes: 939822
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download_size: 247226
dataset_size: 939822
---
# Dataset Card for "deepfashion-multimodal-descriptions-split"
[More Information needed](https://github.com/huggingface/datasets/blob... | 381 | [
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nateraw/pascal-voc-2012 | 2022-06-07T04:52:13.000Z | [
"region:us"
] | nateraw | null | null | 1 | 70 | 2022-06-07T04:38:46 | Entry not found | 15 | [
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BirdL/DALL-E-Dogs | 2022-09-28T21:09:11.000Z | [
"task_categories:image-classification",
"task_categories:unconditional-image-generation",
"size_categories:1K<n<10K",
"license:other",
"region:us"
] | BirdL | null | null | 1 | 70 | 2022-08-01T03:24:18 | ---
annotations_creators: []
language: []
language_creators: []
license:
- other
multilinguality: []
pretty_name: DALL-E Cats Dataset
size_categories:
- 1K<n<10K
source_datasets: []
tags: []
task_categories:
- image-classification
- unconditional-image-generation
task_ids: []
---
DALL-E-Dogs is a dataset meant to prod... | 562 | [
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KonradSzafer/stackoverflow_linux | 2023-03-04T23:23:28.000Z | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:en",
"region:us"
] | KonradSzafer | null | null | 1 | 70 | 2023-02-26T12:48:36 | ---
dataset_info:
features:
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num_bytes: 37456
num_examples: 30
download_size: 172425
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jxu124/refcoco | 2023-05-20T18:58:37.000Z | [
"region:us"
] | jxu124 | null | null | 0 | 70 | 2023-04-22T10:52:18 | ---
dataset_info:
features:
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list:
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- nam... | 1,266 | [
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nicholasKluge/instruct-aira-dataset | 2023-11-02T17:21:07.000Z | [
"task_categories:conversational",
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:pt",
"language:en",
"language:es",
"license:apache-2.0",
"alignment",
"instruction",
"chat",
"region:us"
] | nicholasKluge | null | null | 2 | 70 | 2023-06-07T17:09:55 | ---
license: apache-2.0
task_categories:
- conversational
- text-generation
language:
- pt
- en
- es
tags:
- alignment
- instruction
- chat
pretty_name: Instruct-Aira Dataset
size_categories:
- 10K<n<100K
dataset_info:
features:
- name: prompt
dtype: string
- name: completion
dtype: string
splits:
- n... | 2,892 | [
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fake-news-UFG/FakeNewsSet | 2023-08-18T17:36:21.000Z | [
"task_categories:text-classification",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:n<1K",
"language:pt",
"license:mit",
"region:us"
] | fake-news-UFG | \ | @inproceedings{10.1145/3428658.3430965,
author = {da Silva, Fl\'{a}vio Roberto Matias and Freire, Paulo M\'{a}rcio Souza and de Souza, Marcelo Pereira and de A. B. Plenamente, Gustavo and Goldschmidt, Ronaldo Ribeiro},
title = {FakeNewsSetGen: A Process to Build Datasets That Support Comparison Among Fake News Dete... | 0 | 70 | 2023-08-18T14:54:33 | ---
license: mit
task_categories:
- text-classification
language:
- pt
size_categories:
- n<1K
language_details: pt-BR
multilinguality:
- monolingual
language_creators:
- found
---
# FakeNewsSet
## Dataset Description
- **Homepage:**
- **Repository:** [https://dl.acm.org/doi/abs/10.1145/3428658.3430965](https://... | 4,299 | [
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stepkurniawan/sustainability-methods-wiki | 2023-10-16T18:53:27.000Z | [
"license:mit",
"region:us"
] | stepkurniawan | null | null | 0 | 70 | 2023-09-20T12:48:53 | ---
license: mit
configs:
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path: 50_QA/train-*
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data_files:
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path: data/train-*
dataset_info:
config_name: 50_QA
features:
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jrs-a/batangueno-accent | 2023-10-09T17:00:58.000Z | [
"region:us"
] | jrs-a | null | null | 0 | 70 | 2023-10-09T13:11:04 | ---
dataset_info:
features:
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num_bytes: 244706143.0
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download_size: 225571755
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mekaneeky/salt-dataset | 2023-10-24T15:03:50.000Z | [
"region:us"
] | mekaneeky | null | null | 0 | 70 | 2023-10-19T11:10:18 | ---
configs:
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data_files:
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path: data/train-*
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path: data/dev-*
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dataset_info:
features:
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ColumbiaNLP/FLUTE | 2022-10-07T18:28:02.000Z | [
"task_categories:text-classification",
"task_categories:text2text-generation",
"task_ids:natural-language-inference",
"task_ids:explanation-generation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"language_creators:machine-generated",
"language_creators:crowdsourced... | ColumbiaNLP | null | null | 7 | 69 | 2022-07-05T14:38:38 | ---
annotations_creators:
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language:
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language_creators:
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- machine-generated
- crowdsourced
license:
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multilinguality:
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pretty_name: FLUTE
size_categories:
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source_datasets:
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task_categories:
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GabrielVidal/dead-by-daylight-perks | 2022-11-27T16:06:46.000Z | [
"task_categories:image-classification",
"task_categories:text-to-image",
"task_ids:multi-class-image-classification",
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"language:en",
"license:openrail",
"de... | GabrielVidal | null | null | 1 | 69 | 2022-11-21T20:42:24 | ---
license: openrail
dataset_info:
features:
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dtype: image
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splits:
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download_size: 22365600
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animelover/genshin-impact-images | 2023-07-13T05:49:11.000Z | [
"region:us"
] | animelover | null | null | 16 | 69 | 2023-01-23T02:31:44 | Entry not found | 15 | [
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pcuenq/lsun-bedrooms | 2023-03-04T06:38:23.000Z | [
"license:mit",
"region:us"
] | pcuenq | null | null | 2 | 69 | 2023-03-02T09:57:31 | ---
dataset_info:
features:
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num_bytes: 4450242498.020249
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num_bytes: 234247797.33875093
num_examples: 15157
download_size: 4756942293
dataset_size: 4684490295.359
license: mit
---
# Dataset Card for "lsu... | 1,245 | [
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theodor1289/imagenet-1k_tiny | 2023-03-23T08:14:11.000Z | [
"region:us"
] | theodor1289 | null | null | 1 | 69 | 2023-03-23T08:14:03 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': tench, Tinca tinca
'1': goldfish, Carassius auratus
'2': great white shark, white shark, man-eater, man-eating shark, Carcharodon
carcharias
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MU-NLPC/Calc-math_qa | 2023-10-30T15:54:24.000Z | [
"license:apache-2.0",
"arxiv:2305.15017",
"arxiv:1905.13319",
"region:us"
] | MU-NLPC | null | null | 2 | 69 | 2023-05-24T07:51:48 | ---
license: apache-2.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- config_name: original-splits
data_files:
- split: train
path: original-splits/train-*
- split: validation
path: original-splits/validation-*
- split: test
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data... | 6,922 | [
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radia/wmt14-de2en | 2023-06-24T21:18:45.000Z | [
"region:us"
] | radia | null | null | 0 | 69 | 2023-06-24T21:02:54 | ---
dataset_info:
features:
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wisenut-nlp-team/korquad_v1.0_multiple_gqa | 2023-07-10T07:48:54.000Z | [
"region:us"
] | wisenut-nlp-team | null | null | 0 | 69 | 2023-07-06T03:22:28 | ---
dataset_info:
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hitachi-nlp/FLD.v2 | 2023-10-03T12:19:29.000Z | [
"region:us"
] | hitachi-nlp | null | null | 3 | 69 | 2023-08-24T09:44:21 | ---
dataset_info:
- config_name: default
features:
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hitorilabs/iris | 2023-09-07T19:42:41.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"license:cc0-1.0",
"region:us"
] | hitorilabs | null | null | 0 | 69 | 2023-08-24T21:40:28 | ---
license: cc0-1.0
size_categories:
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task_categories:
- tabular-classification
dataset_info:
features:
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dtype: float32
- name: petal_width
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class_... | 2,780 | [
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maximegmd/medqa_alpaca_format | 2023-09-12T11:27:26.000Z | [
"region:us"
] | maximegmd | null | null | 0 | 69 | 2023-09-12T10:05:52 | ---
dataset_info:
features:
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splits:
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num_bytes: 1184018
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cawoylel/FulaSpeechCorpora | 2023-09-22T16:10:37.000Z | [
"task_categories:automatic-speech-recognition",
"task_categories:text-to-speech",
"task_categories:audio-classification",
"size_categories:100K<n<1M",
"language:ff",
"region:us"
] | cawoylel | null | null | 0 | 69 | 2023-09-21T17:56:54 | ---
configs:
- config_name: default
data_files:
- split: pulaar
path: data/pulaar-*
- split: maacina
path: data/maacina-*
- split: liptako
path: data/liptako-*
- split: caka
path: data/caka-*
- split: bororro
path: data/bororro-*
- split: borgu
path: data/borgu-*
- split: pular
... | 1,518 | [
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orgcatorg/israel-hamas-gaza-cnn | 2023-11-02T04:02:13.000Z | [
"region:us"
] | orgcatorg | null | null | 0 | 69 | 2023-10-10T14:16:59 | ---
dataset_info:
features:
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... | 669 | [
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surajbijjahalli/semantic_seg_ATL | 2023-10-23T00:39:01.000Z | [
"region:us"
] | surajbijjahalli | null | null | 0 | 69 | 2023-10-23T00:29:00 | ---
dataset_info:
features:
- name: image
dtype: image
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dtype: image
splits:
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num_bytes: 3251366124.718
num_examples: 1407
download_size: 3238840408
dataset_size: 3251366124.718
---
# Dataset Card for "semantic_seg_ATL"
[More Information needed](https://github.co... | 408 | [
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Yehoon/arc_hella | 2023-10-23T05:06:48.000Z | [
"region:us"
] | Yehoon | null | null | 0 | 69 | 2023-10-23T05:06:44 | ---
dataset_info:
features:
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splits:
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num_bytes: 8854506
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download_size: 5407350
dataset_size: 8854506
---
# Dataset Card for ... | 464 | [
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jon-tow/okapi_mmlu | 2023-10-24T00:03:08.000Z | [
"language:ar",
"language:bn",
"language:ca",
"language:da",
"language:de",
"language:es",
"language:eu",
"language:fr",
"language:gu",
"language:hi",
"language:hr",
"language:hu",
"language:hy",
"language:id",
"language:it",
"language:kn",
"language:ml",
"language:mr",
"language:... | jon-tow | Measuring Massive Multitask Language Understanding by Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt (ICLR 2021). | @article{hendryckstest2021,
title={Measuring Massive Multitask Language Understanding},
author={Dan Hendrycks and Collin Burns and Steven Basart and Andy Zou and Mantas Mazeika and Dawn Song and Jacob Steinhardt},
journal={Proceedings of the International Conference on Learning Representations (ICLR)},
year={20... | 0 | 69 | 2023-10-23T22:18:44 | ---
language:
- ar
- bn
- ca
- da
- de
- es
- eu
- fr
- gu
- hi
- hr
- hu
- hy
- id
- it
- kn
- ml
- mr
- ne
- nl
- pt
- ro
- ru
- sk
- sr
- sv
- ta
- te
- uk
- vi
license: cc-by-nc-4.0
---
# okapi_mmlu
<!-- Provide a quick summary of the dataset. -->
Multilingual translation of [Measuring Massive Multitask Language ... | 2,306 | [
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ganchengguang/resume_seven_class | 2023-05-30T08:11:48.000Z | [
"license:apache-2.0",
"arxiv:2208.03219",
"arxiv:2209.09450",
"region:us"
] | ganchengguang | null | null | 0 | 68 | 2022-05-29T06:31:44 | ---
license: apache-2.0
---
This is a resume sentence classification dataset constructed based on resume text.（https://www.kaggle.com/datasets/oo7kartik/resume-text-batch）
The dataset have seven category.(experience education knowledge project others ) And three element label(header content meta).
Because the dat... | 524 | [
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AhmedSSabir/Japanese-wiki-dump-sentence-dataset | 2023-07-11T12:22:09.000Z | [
"task_categories:sentence-similarity",
"task_categories:text-classification",
"task_categories:text-generation",
"size_categories:1M<n<10M",
"language:ja",
"region:us"
] | AhmedSSabir | null | null | 2 | 68 | 2022-06-08T11:34:04 | ---
task_categories:
- sentence-similarity
- text-classification
- text-generation
language:
- ja
size_categories:
- 1M<n<10M
---
# Dataset
5M (5121625) clean Japanese full sentence with the context. This dataset can be used to learn unsupervised semantic similarity, etc. | 274 | [
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eraldoluis/faquad | 2023-01-23T08:45:41.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:extended|wikipedia",
"language:pt",
"license:cc-by-4.0",
"region:us"
] | eraldoluis | Academic secretaries and faculty members of higher education institutions face a common problem:
the abundance of questions sent by academics
whose answers are found in available institutional documents.
The official documents produced by Brazilian public universities are vast and disperse,
which discourage s... | @INPROCEEDINGS{
8923668,
author={Sayama, Hélio Fonseca and Araujo, Anderson Viçoso and Fernandes, Eraldo Rezende},
booktitle={2019 8th Brazilian Conference on Intelligent Systems (BRACIS)},
title={FaQuAD: Reading Comprehension Dataset in the Domain of Brazilian Higher Education},
year={2019},
vo... | 6 | 68 | 2022-09-06T11:05:01 | ---
pretty_name: FaQuAD
annotations_creators:
- expert-generated
language_creators:
- found
language:
- pt
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- extended|wikipedia
task_categories:
- question-answering
task_ids:
- extractive-qa
# paperswithcode_id: faquad
train-e... | 4,306 | [
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melismeric/spotify_song_album_covers | 2022-09-21T16:31:13.000Z | [
"region:us"
] | melismeric | null | null | 1 | 68 | 2022-09-21T16:23:32 | Entry not found | 15 | [
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nielsr/countbench | 2023-03-07T20:53:01.000Z | [
"region:us"
] | nielsr | null | null | 1 | 68 | 2023-03-07T20:52:56 | ---
dataset_info:
features:
- name: image_url
dtype: string
- name: text
dtype: string
- name: number
dtype: int64
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dtype: image
splits:
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num_bytes: 23622859.0
num_examples: 540
download_size: 23350530
dataset_size: 23622859.0
---
# Dataset Card for "c... | 463 | [
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tomas-gajarsky/cifar100-lt | 2023-06-24T20:25:07.000Z | [
"task_categories:image-classification",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:cifar100",
"language:en",
"license:apache-2.0",
"region:us"
] | tomas-gajarsky | The CIFAR-100-LT dataset is comprised of under 60,000 color images, each measuring 32x32 pixels,
distributed across 100 distinct classes.
The number of samples within each class decreases exponentially with factors of 10 and 100.
The dataset includes 10,000 test images, with 100 images per class,
and fewer than 50,... | @TECHREPORT{Krizhevsky09learningmultiple,
author = {Alex Krizhevsky},
title = {Learning multiple layers of features from tiny images},
institution = {},
year = {2009}
} | 0 | 68 | 2023-05-05T15:43:58 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license: apache-2.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- cifar100
task_categories:
- image-classification
task_ids: []
paperswithcode_id: cifar-100
pretty_name: Cifar100-LT
dataset_info:
featu... | 8,961 | [
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JasperLS/prompt-injections | 2023-05-16T17:16:21.000Z | [
"region:us"
] | JasperLS | null | null | 5 | 68 | 2023-05-16T17:16:15 | ---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
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num_bytes: 71720
num_examples: 546
- name: test
num_bytes: 15981
num_examples: 116
download_size: 51215
dataset_size: 87701
---
# Dataset Card for "deberta-v3-base-injection-da... | 459 | [
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codeparrot/self-instruct-starcoder | 2023-10-23T12:13:18.000Z | [
"task_categories:text2text-generation",
"size_categories:1K<n<10K",
"language:en",
"license:bigscience-openrail-m",
"code",
"arxiv:2212.10560",
"arxiv:2305.06161",
"arxiv:1908.10084",
"doi:10.57967/hf/0790",
"region:us"
] | codeparrot | null | null | 30 | 68 | 2023-05-22T14:50:58 | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: output
dtype: string
- name: most_similar
dtype: string
- name: avg_similarity_score
dtype: float64
splits:
- name: curated
num_bytes: 1937514
num_examples: 771
- name: raw
num_bytes: 12969008
num_examp... | 6,951 | [
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clarin-knext/quora-pl | 2023-06-07T08:16:00.000Z | [
"language:pl",
"arxiv:2305.19840",
"region:us"
] | clarin-knext | null | null | 0 | 68 | 2023-06-06T22:16:05 | ---
language:
- pl
---
Part of **BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language**.
Link to arxiv: https://arxiv.org/pdf/2305.19840.pdf
Contact: konrad.wojtasik@pwr.edu.pl | 201 | [
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clarin-knext/scidocs-pl | 2023-06-07T08:10:24.000Z | [
"language:pl",
"arxiv:2305.19840",
"region:us"
] | clarin-knext | null | null | 0 | 68 | 2023-06-06T22:48:25 | ---
language:
- pl
---
Part of **BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language**.
Link to arxiv: https://arxiv.org/pdf/2305.19840.pdf
Contact: konrad.wojtasik@pwr.edu.pl | 201 | [
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tasksource/symbolic-instruction-tuning-sql | 2023-06-15T13:19:03.000Z | [
"task_categories:text2text-generation",
"language:en",
"license:mit",
"arxiv:2304.07995",
"region:us"
] | tasksource | null | null | 1 | 68 | 2023-06-15T13:15:05 | ---
dataset_info:
features:
- name: inputs
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splits:
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num_bytes: 290434558
num_examples: 200000
download_size: 148817199
dataset_size: 290434558
license: mit
task_categories:
- text2text-generation
language:
- en
---
# Dataset Card for... | 916 | [
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ChrisHayduk/Llama-2-SQL-and-Code-Dataset | 2023-09-29T04:18:17.000Z | [
"region:us"
] | ChrisHayduk | null | null | 6 | 68 | 2023-07-18T18:28:31 | ---
dataset_info:
features:
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download_... | 1,172 | [
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openaccess-ai-collective/oo-gpt4-filtered | 2023-08-05T04:00:44.000Z | [
"region:us"
] | openaccess-ai-collective | null | null | 2 | 68 | 2023-08-05T03:59:54 | Entry not found | 15 | [
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mystic-leung/medical_cord19 | 2023-09-14T03:00:13.000Z | [
"task_categories:summarization",
"language:aa",
"license:openrail",
"medical",
"region:us"
] | mystic-leung | null | null | 2 | 68 | 2023-08-22T13:35:59 | ---
license: openrail
task_categories:
- summarization
language:
- aa
tags:
- medical
---
## Description
This dataset contains large amounts of biomedical abstracts and corresponding summaries. | 194 | [
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rwkv-x-dev/openorca-gpt4 | 2023-08-28T14:44:06.000Z | [
"region:us"
] | rwkv-x-dev | null | null | 3 | 68 | 2023-08-28T14:38:13 | ---
pretty_name: OpenOrca
configs:
- config_name: default
default: true
data_files:
- split: train
path:
- "*.parquet"
---
OpenOrca but just the GPT4 bits. | 169 | [
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Aborevsky01/CLEVR-BT-DB | 2023-09-20T16:44:56.000Z | [
"task_categories:visual-question-answering",
"language:en",
"region:us"
] | Aborevsky01 | null | null | 0 | 68 | 2023-09-17T17:03:32 | ---
task_categories:
- visual-question-answering
language:
- en
---
### How to install?
```python
!pip install datasets -q
from huggingface_hub import snapshot_download
import pandas as pd
import matplotlib.pyplot as plt
# First step: download an entire datatset
snapshot_download(repo_id="Aborevsky01/CLEVR-BT-DB", re... | 993 | [
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iwecht/hard_captions | 2023-10-20T00:35:00.000Z | [
"region:us"
] | iwecht | null | null | 0 | 68 | 2023-10-20T00:34:59 | ---
dataset_info:
features:
- name: annID
dtype: int64
- name: caption
dtype: string
- name: score
dtype: int64
splits:
- name: train
num_bytes: 364027
num_examples: 5000
download_size: 200465
dataset_size: 364027
configs:
- config_name: default
data_files:
- split: train
pat... | 507 | [
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liweili/c4_200m | 2022-10-23T11:00:46.000Z | [
"task_categories:text-generation",
"source_datasets:allenai/c4",
"language:en",
"grammatical-error-correction",
"region:us"
] | liweili | \
GEC Dataset Generated from C4 | \
@InProceedings{huggingface:c4_200m_dataset,
title = {c4_200m},
author={Li Liwei},
year={2021}
} | 25 | 67 | 2022-03-02T23:29:22 | ---
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... | 937 | [
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Team-PIXEL/rendered-bookcorpus | 2022-08-03T12:03:32.000Z | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1M<n<10M",
"source_datasets:rendered|BookCorpusOpen",
"language:en",
"license:unknown",
"arxiv:1506.06724",
"arxiv:2207.06991",
"arxiv:2105.05241",
"region:us"
] | Team-PIXEL | null | null | 4 | 67 | 2022-05-11T14:41:02 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- unknown
multilinguality:
- monolingual
pretty_name: Team-PIXEL/rendered-bookcorpus
size_categories:
- 1M<n<10M
source_datasets:
- rendered|BookCorpusOpen
task_categories:
- masked-auto-encoding
- rendered-language-modelling
t... | 6,973 | [
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TurkuNLP/xlsum-fi | 2022-10-25T06:30:19.000Z | [
"task_categories:summarization",
"task_categories:text2text-generation",
"annotations_creators:found",
"language_creators:machine translated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:xlsum",
"language:fi",
"license:cc-by-nc-sa-4.0",
"conditional-text-generatio... | TurkuNLP | This dataset is a DeepL -based machine translation of a part of the English section of the XLSum dataset:[https://github.com/csebuetnlp/xl-sum](https://github.com/csebuetnlp/xl-sum) In the present version, only examples where the full version is at most 10x the summary in length are included. We might translate more la... |
Please cite the article and also acknowledge Filip Ginter / TurkuNLP for the machine translated version
@inproceedings{hasan-etal-2021-xl,
title = "{XL}-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages",
author = "Hasan, Tahmid and
Bhattacharjee, Abhik and
Islam, Md. Saif... | 0 | 67 | 2022-09-30T13:10:05 | ---
annotations_creators:
- found
language_creators:
- machine translated
language:
- fi
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- xlsum
task_categories:
- summarization
- text2text-generation
task_ids: []
pretty_name: XL-Sum-FI
tags:
- conditional-text-g... | 6,656 | [
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DFKI-SLT/fabner | 2023-04-05T23:20:21.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:en",
"license:other",
"manufacturing",
"2000-2020",
"region:us"
] | DFKI-SLT | FabNER is a manufacturing text corpus of 350,000+ words for Named Entity Recognition.
It is a collection of abstracts obtained from Web of Science through known journals available in manufacturing process
science research.
For every word, there were categories/entity labels defined namely Material (MATE), Manufacturin... | @article{DBLP:journals/jim/KumarS22,
author = {Aman Kumar and
Binil Starly},
title = {"FabNER": information extraction from manufacturing process science
domain literature using named entity recognition},
journal = {J. Intell. Manuf.},
volume = {33},
number = {8},
... | 0 | 67 | 2023-01-13T13:01:38 | ---
annotations_creators:
- expert-generated
language:
- en
language_creators:
- found
license:
- other
multilinguality:
- monolingual
pretty_name: FabNER is a manufacturing text dataset for Named Entity Recognition.
size_categories:
- 10K<n<100K
source_datasets: []
tags:
- manufacturing
- 2000-2020
task_categories:
- ... | 13,164 | [
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brunokreiner/genius-lyrics | 2023-03-07T21:57:02.000Z | [
"region:us"
] | brunokreiner | null | null | 2 | 67 | 2023-01-18T22:39:24 | ---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
{}
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderbo... | 2,383 | [
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jamescalam/lex-transcripts | 2023-04-06T07:49:58.000Z | [
"region:us"
] | jamescalam | null | null | 7 | 67 | 2023-03-28T08:49:00 | Entry not found | 15 | [
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camel-ai/physics | 2023-05-23T21:12:11.000Z | [
"task_categories:text-generation",
"language:en",
"license:cc-by-nc-4.0",
"instruction-finetuning",
"arxiv:2303.17760",
"region:us"
] | camel-ai | null | null | 22 | 67 | 2023-04-11T22:49:01 | ---
license: cc-by-nc-4.0
language:
- en
tags:
- instruction-finetuning
pretty_name: CAMEL Physics
task_categories:
- text-generation
arxiv: 2303.17760
extra_gated_prompt: "By using this data, you acknowledge and agree to utilize it solely for research purposes, recognizing that the dataset may contain inaccuracies due... | 2,116 | [
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howard-hou/OCR-VQA | 2023-04-24T01:29:24.000Z | [
"region:us"
] | howard-hou | null | null | 3 | 67 | 2023-04-23T17:43:27 | ---
dataset_info:
features:
- name: image
dtype: image
- name: image_id
dtype: string
- name: questions
sequence: string
- name: answers
sequence: string
- name: ocr_tokens
sequence: string
- name: ocr_info
list:
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dtype: string
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pvduy/rm_oa_hh | 2023-06-13T16:39:03.000Z | [
"region:us"
] | pvduy | null | null | 1 | 67 | 2023-06-13T15:40:34 | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: selected
dtype: string
- name: rejected
dtype: string
- name: source
dtype: string
splits:
- name: test
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num_bytes: 220101381
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downlo... | 531 | [
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ynklab/XCodeSearchNet | 2023-07-12T15:18:20.000Z | [
"language:en",
"language:fr",
"language:ja",
"language:zh",
"license:mit",
"codesearch",
"arxiv:2306.15604",
"region:us"
] | ynklab | null | null | 1 | 67 | 2023-06-15T17:33:42 | ---
license: mit
language:
- en
- fr
- ja
- zh
tags:
- codesearch
pretty_name: XCodeSearchNet
---
[Paper on arXiv](https://arxiv.org/abs/2306.15604)
## pre-training data
You need to manually combine each dataset if you want to use a multilingual dataset.
```python
from datasets import load_dataset
xcsn_pt_python_en =... | 4,372 | [
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OneFly7/llama2-sst2-fine-tuning | 2023-08-08T07:03:26.000Z | [
"task_categories:text-classification",
"language:en",
"region:us"
] | OneFly7 | null | null | 2 | 67 | 2023-07-29T19:28:23 | ---
dataset_info:
features:
- name: label_text
dtype: string
- name: text
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splits:
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num_bytes: 23202578
num_examples: 67349
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num_examples: 872
download_size: 4418625
dataset_size: 23537294
task_categories:
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yongchanskii/youtube-data-for-developers | 2023-08-22T17:25:33.000Z | [
"region:us"
] | yongchanskii | null | null | 0 | 67 | 2023-08-22T17:14:20 | ---
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 16000
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dtype: string
splits:
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num_bytes: 3663423940.287
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- name: test
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download_size: 4039879845
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pccl-org/formal-logic-simple-order-simple-objects-blivergent-500 | 2023-09-21T20:20:02.000Z | [
"region:us"
] | pccl-org | null | null | 0 | 67 | 2023-09-21T20:14:22 | ---
dataset_info:
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erhwenkuo/poetry-chinese-zhtw | 2023-10-16T08:16:59.000Z | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:zh",
"license:mit",
"region:us"
] | erhwenkuo | null | null | 1 | 67 | 2023-10-16T07:16:02 | ---
configs:
- config_name: default
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path: data/train-*
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automated-research-group/phi-winogrande-results | 2023-10-30T01:03:01.000Z | [
"region:us"
] | automated-research-group | null | null | 0 | 67 | 2023-10-28T13:25:32 | ---
dataset_info:
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yxchar/amazon-tlm | 2021-11-04T22:22:29.000Z | [
"region:us"
] | yxchar | null | null | 0 | 66 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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pile-of-law/eoir_privacy | 2022-07-07T08:44:32.000Z | [
"task_categories:text-classification",
"language_creators:found",
"multilinguality:monolingual",
"language:en",
"license:cc-by-nc-sa-4.0",
"arxiv:2207.00220",
"region:us"
] | pile-of-law | A living legal dataset. | TODO | 9 | 66 | 2022-05-08T22:30:20 | ---
language_creators:
- found
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license:
- cc-by-nc-sa-4.0
multilinguality:
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pretty_name: eoir_privacy
source_datasets: []
task_categories:
- text-classification
viewer: false
---
# Dataset Card for eoir_privacy
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset ... | 3,809 | [
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Tevatron/beir | 2022-07-08T00:17:30.000Z | [
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] | Tevatron | null | null | 0 | 66 | 2022-06-07T05:59:24 | Entry not found | 15 | [
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nlpaueb/multi_eurlex | 2022-10-25T10:29:13.000Z | [
"task_categories:text-classification",
"task_ids:multi-label-classification",
"task_ids:topic-classification",
"annotations_creators:found",
"language_creators:found",
"language_creators:machine-generated",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:extended|multi... | nlpaueb | An non-parallel version of the MultiEURLEX datasets released by Chalkidis et al. (2021).
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predi... | @InProceedings{xenouleas-etal-2022-realistic-multieurlex,
author = {Xenouleas, Stratos
and Tsoukara, Alexia
and Panagiotakis, Giannis
and Chalkidis, Ilias
and Androutsopoulos, Ion},
title = {Realistic Zero-Shot Cross-Lingual Transfer in Legal Topic Cla... | 4 | 66 | 2022-06-07T10:28:06 | ---
pretty_name: Non-Parallel MultiEURLEX (incl. Translations)
annotations_creators:
- found
language_creators:
- found
- machine-generated
language:
- en
- de
- fr
- el
- sk
license:
- cc-by-sa-4.0
multilinguality:
- multilingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|multi_eurlex
task_categories:
... | 16,048 | [
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mrm8488/unnatural-instructions-full | 2022-12-21T21:41:31.000Z | [
"arxiv:2212.09689",
"region:us"
] | mrm8488 | null | null | 7 | 66 | 2022-12-21T20:59:04 | ---
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flozi00/conversations | 2023-10-26T17:30:47.000Z | [
"task_categories:conversational",
"task_categories:text-generation",
"language:de",
"region:us"
] | flozi00 | null | null | 9 | 66 | 2023-07-06T13:24:36 | ---
language:
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task_categories:
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LeoLM/German_Songs | 2023-09-04T21:49:42.000Z | [
"region:us"
] | LeoLM | null | null | 0 | 66 | 2023-09-04T21:49:38 | ---
dataset_info:
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- name: song
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yzhuang/autotree_automl_100000_MagicTelescope_sgosdt_l256_dim10_d3_sd0 | 2023-09-08T16:50:49.000Z | [
"region:us"
] | yzhuang | null | null | 0 | 66 | 2023-09-08T16:50:13 | ---
dataset_info:
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repllabs/questions_how_to_do_great_work | 2023-09-17T05:43:44.000Z | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:en",
"license:mit",
"region:us"
] | repllabs | null | null | 4 | 66 | 2023-09-17T05:10:55 | ---
configs:
- config_name: default
data_files:
- split: processed
path: data/processed-*
- split: raw
path: data/raw-*
dataset_info:
features:
- name: question
dtype: string
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splits:
- name: processed
num_bytes: 17391
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- name: raw
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cmalaviya/expertqa | 2023-10-07T05:07:10.000Z | [
"task_categories:question-answering",
"annotations_creators:expert-generated",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:mit",
"arxiv:2309.07852",
"region:us"
] | cmalaviya | null | null | 11 | 66 | 2023-10-03T04:02:09 | ---
configs:
- config_name: main
data_files: r2_compiled_anon_fixed.jsonl
- config_name: lfqa_random
data_files:
- split: train
path: rand_lfqa_train.json
- split: test
path: rand_lfqa_test.json
- split: validation
path: rand_lfqa_val.json
- config_name: lfqa_domain
data_files:
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vgoldberg/longform_article_summarization | 2023-10-11T19:36:28.000Z | [
"task_categories:summarization",
"size_categories:100K<n<1M",
"language:en",
"license:apache-2.0",
"region:us"
] | vgoldberg | null | null | 1 | 66 | 2023-10-11T17:01:42 | ---
language:
- en
license: apache-2.0
size_categories:
- 100K<n<1M
task_categories:
- summarization
pretty_name: Long-Form Article Summarization Dataset
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: text
dtype: string
- name: summary
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magnifi/contextual-new-ontology-v2-contextual-lowercase | 2023-10-13T04:48:54.000Z | [
"region:us"
] | magnifi | null | null | 0 | 66 | 2023-10-13T04:48:48 | ---
configs:
- config_name: default
data_files:
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path: data/train-*
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path: data/validation-*
dataset_info:
features:
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- name: user_text
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chengsp/geo | 2023-10-19T07:16:00.000Z | [
"region:us"
] | chengsp | null | null | 0 | 66 | 2023-10-13T12:11:52 | Entry not found | 15 | [
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