id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 68.7k ⌀ | citation stringlengths 0 10.7k ⌀ | cardData null | likes int64 0 3.55k | downloads int64 0 10.1M | card stringlengths 0 1.01M |
|---|---|---|---|---|---|---|---|---|---|
seungheondoh/LP-MusicCaps-MC | 2023-08-01T03:52:24.000Z | [
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"music",
"text-to-music",
"music-to-text",
"art",
"arxiv:2307.16372",
"region:us"
] | seungheondoh | null | null | null | 4 | 391 | ---
license: mit
language:
- en
tags:
- music
- text-to-music
- music-to-text
- art
pretty_name: LP-MusicCaps-MC
size_categories:
- 1K<n<10K
---
======================================
**!important**: Be careful when using `caption_attribute_prediction` (We don't recommend to use)!
===================================... |
onestop_english | 2023-01-25T14:42:09.000Z | [
"task_categories:text2text-generation",
"task_categories:text-classification",
"task_ids:multi-class-classification",
"task_ids:text-simplification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"languag... | null | This dataset is a compilation of the OneStopEnglish corpus of texts written at three reading levels into one file.
Text documents are classified into three reading levels - ele, int, adv (Elementary, Intermediate and Advance).
This dataset demonstrates its usefulness for through two applica-tions - automatic readabili... | @inproceedings{vajjala-lucic-2018-onestopenglish,
title = {OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification},
author = {Sowmya Vajjala and Ivana Lučić},
booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Appli... | null | 15 | 389 | ---
annotations_creators:
- found
language_creators:
- found
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- text2text-generation
- text-classification
task_ids:
- multi-class-classification
- text-simplification
paperswithcode... |
roszcz/ecg-segmentation-ltafdb | 2023-08-10T11:33:12.000Z | [
"region:us"
] | roszcz | null | null | null | 0 | 389 | ---
dataset_info:
features:
- name: record_id
dtype: string
- name: signal
dtype:
array2_d:
shape:
- 2
- 1000
dtype: float32
- name: mask
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array2_d:
shape:
- 1
- 1000
dtype: int8
splits:
- name: train
num_bytes... |
SetFit/mnli | 2022-02-28T13:53:53.000Z | [
"region:us"
] | SetFit | null | null | null | 2 | 387 | # Glue MNLI
This dataset is a port of the official [`mnli` dataset](https://huggingface.co/datasets/glue/viewer/mnli/train) on the Hub.
It contains the matched version.
Note that the premise and hypothesis columns have been renamed to text1 and text2 respectively.
Also, the test split is not labeled; the label c... |
tomekkorbak/detoxify-pile-chunk3-0-50000 | 2022-10-06T02:57:39.000Z | [
"region:us"
] | tomekkorbak | null | null | null | 0 | 387 | Entry not found |
TigerResearch/pretrain_zh | 2023-06-14T13:50:32.000Z | [
"region:us"
] | TigerResearch | null | null | null | 80 | 387 | ---
dataset_info:
features:
- name: dataType
dtype: string
- name: title
dtype: string
- name: content
dtype: string
- name: uniqueKey
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- name: id
dtype: int64
splits:
- name: train
num_bytes: 58043923125
num_examples: 169050... |
heliosbrahma/mental_health_chatbot_dataset | 2023-08-03T04:12:40.000Z | [
"task_categories:text-generation",
"task_categories:conversational",
"size_categories:n<1K",
"language:en",
"license:mit",
"medical",
"region:us"
] | heliosbrahma | null | null | null | 17 | 387 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_examples: 172
license: mit
task_categories:
- text-generation
- conversational
language:
- en
tags:
- medical
pretty_name: Mental Health Chatbot Dataset
size_categories:
- n<1K
---
# Dataset Card for "heliosbrahma/mental_... |
reciprocate/gsm8k-test_critiques | 2023-09-15T08:08:52.000Z | [
"region:us"
] | reciprocate | null | null | null | 1 | 387 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: critique
dtype: string
- name: revision
dtype: string
- name: revision_score
dtype: int64
- name: truth
... |
juletxara/pawsx_mt | 2023-07-21T10:18:49.000Z | [
"task_categories:text-classification",
"task_ids:semantic-similarity-classification",
"task_ids:semantic-similarity-scoring",
"task_ids:text-scoring",
"task_ids:multi-input-text-classification",
"annotations_creators:expert-generated",
"annotations_creators:machine-generated",
"language_creators:exper... | juletxara | PAWS-X, a multilingual version of PAWS (Paraphrase Adversaries from Word Scrambling) for six languages.
This dataset contains 23,659 human translated PAWS evaluation pairs and 296,406 machine
translated training pairs in six typologically distinct languages: French, Spanish, German,
Chinese, Japanese, and Korean. Engl... | @InProceedings{pawsx2019emnlp,
title = {{PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification}},
author = {Yang, Yinfei and Zhang, Yuan and Tar, Chris and Baldridge, Jason},
booktitle = {Proc. of EMNLP},
year = {2019}
} | null | 0 | 386 | ---
annotations_creators:
- expert-generated
- machine-generated
language_creators:
- expert-generated
- machine-generated
language:
- en
license:
- other
multilinguality:
- multilingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|other-paws
task_categories:
- text-classification
task_ids:
- semantic-simi... |
dell-research-harvard/headlines-semantic-similarity | 2023-06-14T06:52:21.000Z | [
"task_categories:sentence-similarity",
"size_categories:100M<n<1B",
"language:en",
"license:cc-by-2.0",
"doi:10.57967/hf/0751",
"region:us"
] | dell-research-harvard | null | null | null | 6 | 386 | ---
license: cc-by-2.0
task_categories:
- sentence-similarity
language:
- en
pretty_name: HEADLINES
size_categories:
- 100M<n<1B
---
# Dataset Card for HEADLINES
## Dataset Descri... |
result-kand2-sdxl-wuerst-karlo/db197d09 | 2023-09-26T15:16:30.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 386 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 170
num_examples: 10
download_size: 1327
dataset_size: 170
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "db197d0... |
L4NLP/LEval | 2023-09-01T09:23:50.000Z | [
"task_categories:summarization",
"task_categories:question-answering",
"task_categories:multiple-choice",
"size_categories:1K<n<10K",
"language:en",
"license:gpl-3.0",
"region:us"
] | L4NLP | A benchmark to evaluate long document understanding and generation ability of LLM | } | null | 8 | 385 | ---
license: gpl-3.0
task_categories:
- summarization
- question-answering
- multiple-choice
language:
- en
size_categories:
- 1K<n<10K
viewer: true
---
### *L-Eval: Instituting Standardized Evaluation for Long Context Language Models*
L-Eval is a comprehensive long-context language models evaluation suite with 18 ... |
Francesco/furniture-ngpea | 2023-03-30T09:12:40.000Z | [
"task_categories:object-detection",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc",
"rf100",
"region:us"
] | Francesco | null | null | null | 0 | 384 | ---
dataset_info:
features:
- name: image_id
dtype: int64
- name: image
dtype: image
- name: width
dtype: int32
- name: height
dtype: int32
- name: objects
sequence:
- name: id
dtype: int64
- name: area
dtype: int64
- name: bbox
sequence: float32
lengt... |
ai4privacy/pii-masking-65k | 2023-08-27T04:42:54.000Z | [
"size_categories:10K<n<100K",
"language:en",
"language:fr",
"language:de",
"language:it",
"legal",
"business",
"psychology",
"privacy",
"region:us"
] | ai4privacy | null | null | null | 12 | 384 | ---
language:
- en
- fr
- de
- it
tags:
- legal
- business
- psychology
- privacy
size_categories:
- 10K<n<100K
---
# Purpose and Features
The purpose of the model and dataset is to remove personally identifiable information (PII) from text, especially in the context of AI assistants and LLMs.
The model is a fine-t... |
pubmed | 2022-12-22T07:57:43.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_categories:text-classification",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"task_ids:text-scoring",
"task_ids:topic-classification",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
... | null | NLM produces a baseline set of MEDLINE/PubMed citation records in XML format for download on an annual basis. The annual baseline is released in December of each year. Each day, NLM produces update files that include new, revised and deleted citations. See our documentation page for more information. | Courtesy of the U.S. National Library of Medicine. | null | 29 | 383 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
- text-classification
task_ids:
- language-modeling
- masked-language-modelin... |
yxchar/imdb-tlm | 2021-11-04T18:01:06.000Z | [
"region:us"
] | yxchar | null | null | null | 0 | 383 | Entry not found |
Bingsu/Cat_and_Dog | 2023-01-26T10:48:25.000Z | [
"task_categories:image-classification",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc0-1.0",
"region:us"
] | Bingsu | null | null | null | 2 | 383 | ---
language:
- en
license:
- cc0-1.0
pretty_name: Cat and Dog
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- image-classification
dataset_info:
features:
- name: image
dtype: image
- name: labels
dtype:
class_label:
names:
'0': cat
'1': dog
... |
gamino/wiki_medical_terms | 2022-12-20T16:23:58.000Z | [
"task_categories:text-classification",
"annotations_creators:other",
"language_creators:other",
"size_categories:1K<n<10K",
"language:en",
"license:gpl-3.0",
"medical",
"conditions",
"region:us"
] | gamino | null | null | null | 19 | 383 | ---
annotations_creators:
- other
language:
- en
language_creators:
- other
license:
- gpl-3.0
multilinguality: []
pretty_name: Medical terms and their wikipedia text
size_categories:
- 1K<n<10K
source_datasets: []
tags:
- medical
- conditions
task_categories:
- text-classification
task_ids: []
---
# Dataset Card for [... |
result-kand2-sdxl-wuerst-karlo/7aa2df49 | 2023-09-26T16:34:15.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 383 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 172
num_examples: 10
download_size: 1339
dataset_size: 172
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "7aa2df4... |
result-kand2-sdxl-wuerst-karlo/1b874213 | 2023-09-26T16:50:27.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 383 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
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num_bytes: 161
num_examples: 10
download_size: 1306
dataset_size: 161
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "1b87421... |
result-kand2-sdxl-wuerst-karlo/b6112e1b | 2023-09-26T16:29:48.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 382 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
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num_bytes: 166
num_examples: 10
download_size: 1318
dataset_size: 166
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "b6112e1... |
colbertv2/lotte | 2022-08-04T17:55:59.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:apache-2.0",
"arxiv:2112.01488",
"region:us"
] | colbertv2 | LoTTE Passages Dataset for ColBERTv2 | @inproceedings{santhanam-etal-2022-colbertv2,
title = "{C}ol{BERT}v2: Effective and Efficient Retrieval via Lightweight Late Interaction",
author = "Santhanam, Keshav and
Khattab, Omar and
Saad-Falcon, Jon and
Potts, Christopher and
Zaharia, Matei",
booktitle = "Proceedings of th... | null | 0 | 381 | ---
annotations_creators:
- no-annotation
language:
- en
language_creators:
- found
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: 'Lotte queries from ColBERTv2: Effective and Efficient Retrieval via
Lightweight Late Interaction'
size_categories:
- 10K<n<100K
source_datasets:
- original
tags: []
ta... |
cyrilzhang/financial_phrasebank_split | 2023-01-17T21:26:08.000Z | [
"region:us"
] | cyrilzhang | null | null | null | 1 | 381 | ---
dataset_info:
features:
- name: sentence
dtype: string
- name: label
dtype:
class_label:
names:
0: negative
1: neutral
2: positive
splits:
- name: train
num_bytes: 611259.9339661576
num_examples: 4361
- name: test
num_bytes: 67980.066033842... |
Bingsu/ko_alpaca_data | 2023-03-30T23:21:40.000Z | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:ko",
"license:cc-by-nc-4.0",
"region:us"
] | Bingsu | null | null | null | 11 | 381 | ---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
splits:
- name: train
num_bytes: 13791136
num_examples: 49620
download_size: 8491044
dataset_size: 13791136
license: cc-by-nc-4.0
language:
- ko
pretty_name: ko-alpa... |
rafaelpadilla/coco2017 | 2023-08-11T23:02:22.000Z | [
"task_categories:object-detection",
"annotations_creators:expert-generated",
"size_categories:100K<n<1M",
"language:en",
"arxiv:1405.0312",
"region:us"
] | rafaelpadilla | This dataset contains all COCO 2017 images and annotations split in training (118287 images) and validation (5000 images). | @article{DBLP:journals/corr/LinMBHPRDZ14,
author = {Tsung{-}Yi Lin and
Michael Maire and
Serge J. Belongie and
Lubomir D. Bourdev and
Ross B. Girshick and
James Hays and
Pietro Perona and
Deva Ramanan and
... | null | 1 | 381 | ---
pretty_name: COCO2017
annotations_creators:
- expert-generated
size_categories:
- 100K<n<1M
language:
- en
task_categories:
- object-detection
---
# Dataset Card for Dataset Name
This dataset includes **COCO 2017** only.
COCO 2014 and 2015 will be included soon.
## Dataset Description
- **Homepage:** h... |
SetFit/bbc-news | 2022-01-18T05:58:34.000Z | [
"region:us"
] | SetFit | null | null | null | 4 | 380 | # BBC News Topic Classification
Dataset on [BBC News Topic Classification](https://www.kaggle.com/yufengdev/bbc-text-categorization/data): 2225 articles, each labeled under one of 5 categories: business, entertainment, politics, sport or tech. |
MLCommons/ml_spoken_words | 2022-12-06T11:11:02.000Z | [
"task_categories:audio-classification",
"annotations_creators:machine-generated",
"language_creators:other",
"multilinguality:multilingual",
"size_categories:10M<n<100M",
"source_datasets:extended|common_voice",
"language:ar",
"language:as",
"language:br",
"language:ca",
"language:cnh",
"langu... | MLCommons | Multilingual Spoken Words Corpus is a large and growing audio dataset of spoken
words in 50 languages collectively spoken by over 5 billion people, for academic
research and commercial applications in keyword spotting and spoken term search,
licensed under CC-BY 4.0. The dataset contains more than 340,000 keywords,
tot... | @inproceedings{mazumder2021multilingual,
title={Multilingual Spoken Words Corpus},
author={Mazumder, Mark and Chitlangia, Sharad and Banbury, Colby and Kang, Yiping and Ciro, Juan Manuel and Achorn, Keith and Galvez, Daniel and Sabini, Mark and Mattson, Peter and Kanter, David and others},
booktitle={Thirty-fifth... | null | 16 | 380 | ---
annotations_creators:
- machine-generated
language_creators:
- other
language:
- ar
- as
- br
- ca
- cnh
- cs
- cv
- cy
- de
- dv
- el
- en
- eo
- es
- et
- eu
- fa
- fr
- fy
- ga
- gn
- ha
- ia
- id
- it
- ka
- ky
- lt
- lv
- mn
- mt
- nl
- or
- pl
- pt
- rm
- ro
- ru
- rw
- sah
- sk
- sl
- sv
- ta
- tr
- tt
- uk
... |
mstz/wine | 2023-04-07T15:11:56.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"language:en",
"license:cc",
"wine",
"tabular_classification",
"binary_classification",
"region:us"
] | mstz | null | null | null | 2 | 378 | ---
language:
- en
tags:
- wine
- tabular_classification
- binary_classification
pretty_name: Wine quality
size_categories:
- 1K<n<10K
task_categories:
- tabular-classification
configs:
- wine
license: cc
---
# Wine
The [Wine dataset](https://www.kaggle.com/datasets/ghassenkhaled/wine-quality-data) from Kaggle.
Classif... |
pasinit/xlwic | 2022-10-25T09:54:22.000Z | [
"task_categories:text-classification",
"task_ids:semantic-similarity-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"language:bg",
"language:zh",
"langua... | pasinit | A system's task on any of the XL-WiC datasets is to identify the intended meaning of a word in a context of a given language. XL-WiC is framed as a binary classification task. Each instance in XL-WiC has a target word w, either a verb or a noun, for which two contexts are provided. Each of these contexts triggers a spe... | @inproceedings{raganato-etal-2020-xl-wic,
title={XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization},
author={Raganato, Alessandro and Pasini, Tommaso and Camacho-Collados, Jose and Pilehvar, Mohammad Taher},
booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Lan... | null | 4 | 377 | ---
annotations_creators:
- expert-generated
extended:
- original
language_creators:
- found
language:
- en
- bg
- zh
- hr
- da
- nl
- et
- fa
- ja
- ko
- it
- fr
- de
license:
- cc-by-nc-4.0
multilinguality:
- multilingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification... |
mariosasko/test_imagefolder_with_metadata | 2022-06-28T12:59:23.000Z | [
"region:us"
] | mariosasko | null | null | null | 0 | 377 | Entry not found |
mteb/mind_small | 2022-08-04T23:00:59.000Z | [
"region:us"
] | mteb | null | null | null | 0 | 376 | The `test` split is the `validation` split of [MIND](https://msnews.github.io/). Labels for the original `test` split are unavailable.
Thus, we renamed it to test for consistency in the MTEB benchmark. |
labr | 2023-01-25T14:34:10.000Z | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:found",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:ar",
"license:unknown",
"region:us"
] | null | This dataset contains over 63,000 book reviews in Arabic.It is the largest sentiment analysis dataset for Arabic to-date.The book reviews were harvested from the website Goodreads during the month or March 2013.Each book review comes with the goodreads review id, the user id, the book id, the rating (1 to 5) and the te... | @inproceedings{aly2013labr,
title={Labr: A large scale arabic book reviews dataset},
author={Aly, Mohamed and Atiya, Amir},
booktitle={Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
pages={494--498},
year={2013}
} | null | 0 | 375 | ---
annotations_creators:
- found
language_creators:
- found
language:
- ar
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-class-classification
paperswithcode_id: labr
pretty_name: LABR
dataset_info:
... |
nielsr/XFUN | 2022-09-18T10:57:50.000Z | [
"region:us"
] | nielsr | null | null | null | 3 | 375 | Entry not found |
yxchar/chemprot-tlm | 2021-11-04T22:59:08.000Z | [
"region:us"
] | yxchar | null | null | null | 0 | 375 | Entry not found |
result-kand2-sdxl-wuerst-karlo/02511ac7 | 2023-09-26T22:38:28.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 375 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 187
num_examples: 10
download_size: 1369
dataset_size: 187
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "02511ac... |
Cohere/wikipedia-22-12 | 2023-02-22T15:58:09.000Z | [
"region:us"
] | Cohere | null | null | null | 24 | 374 | This dataset contains a pre-processed version from Wikipedia suitable for semantic search.
You can load the dataset like this:
```python
from datasets import load_dataset
lang = 'en'
data = load_dataset(f"Cohere/wikipedia-22-12", lang, split='train', streaming=True)
for row in data:
print(row)
break
```
This w... |
project-test/graduation_mobile_subset | 2023-09-05T07:39:59.000Z | [
"region:us"
] | project-test | null | null | null | 0 | 374 | Entry not found |
kuroneko5943/stock11 | 2023-01-16T04:11:18.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:zh",
"license:apache-2.0",
"stock",
"region:u... | kuroneko5943 | GLUE, the General Language Understanding Evaluation benchmark
(https://gluebenchmark.com/) is a collection of resources for training,
evaluating, and analyzing natural language understanding systems. | \ | null | 5 | 372 | ---
annotations_creators:
- machine-generated
language:
- zh
language_creators:
- crowdsourced
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: stock11
size_categories:
- 10K<n<100K
source_datasets:
- original
tags:
- stock
task_categories:
- text-classification
task_ids:
- sentiment-classification
--- |
Multimodal-Fatima/StanfordCars_test | 2023-06-12T02:33:45.000Z | [
"region:us"
] | Multimodal-Fatima | null | null | null | 0 | 372 | ---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': am general hummer suv 2000
'1': acura rl sedan 2012
'2': acura tl sedan 2012
'3': acura tl type-s 2008
'4': acura tsx sedan 2012
'5... |
mozilla-foundation/common_voice_12_0 | 2023-06-26T15:23:50.000Z | [
"task_categories:automatic-speech-recognition",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"source_datasets:extended|common_voice",
"license:cc0-1.0",
"arxiv:1912.06670",
"region:us"
] | mozilla-foundation | null | @inproceedings{commonvoice:2020,
author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
title = {Common Voice: A Massively-Multilingual Speech Corpus},
booktitle = {Proceedings of the 12th Conference on Lang... | null | 10 | 372 | ---
pretty_name: Common Voice Corpus 12.0
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language_bcp47:
- ab
- ar
- as
- ast
- az
- ba
- bas
- be
- bg
- bn
- br
- ca
- ckb
- cnh
- cs
- cv
- cy
- da
- de
- dv
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy-NL
- ga-IE
- gl
- gn
- ha
- hi
- hsb
... |
loubnabnl/code_reviews_3 | 2023-09-17T18:45:05.000Z | [
"region:us"
] | loubnabnl | null | null | null | 0 | 372 | ---
dataset_info:
features:
- name: bucket
dtype: string
- name: pull_request_info
struct:
- name: org.id
dtype: int64
- name: public
dtype: bool
- name: pull_request.additions
dtype: int64
- name: pull_request.base.user.type
dtype: string
- name: pull_request.b... |
result-kand2-sdxl-wuerst-karlo/16193144 | 2023-09-26T23:48:45.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 371 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 169
num_examples: 10
download_size: 1324
dataset_size: 169
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "1619314... |
result-kand2-sdxl-wuerst-karlo/c2696aec | 2023-09-26T23:48:54.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 371 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 169
num_examples: 10
download_size: 1324
dataset_size: 169
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "c2696ae... |
result-kand2-sdxl-wuerst-karlo/2af00e50 | 2023-09-27T02:03:14.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 370 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 206
num_examples: 10
download_size: 1404
dataset_size: 206
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "2af00e5... |
THUIR/T2Ranking | 2023-07-03T08:46:32.000Z | [
"task_categories:text-retrieval",
"size_categories:1M<n<10M",
"language:zh",
"license:apache-2.0",
"arxiv:2304.03679",
"region:us"
] | THUIR | null | @misc{xie2023t2ranking,
title={T2Ranking: A large-scale Chinese Benchmark for Passage Ranking},
author={Xiaohui Xie and Qian Dong and Bingning Wang and Feiyang Lv and Ting Yao and Weinan Gan and Zhijing Wu and Xiangsheng Li and Haitao Li and Yiqun Liu and Jin Ma},
year={2023},
eprint={2304.0367... | null | 13 | 368 | ---
license: apache-2.0
task_categories:
- text-retrieval
language:
- zh
size_categories:
- 1M<n<10M
---
# T<sup>2</sup>Ranking
## Introduction
T<sup>2</sup>Ranking is a large-scale Chinese benchmark for passage ranking. The details about T<sup>2</sup>Ranking are elaborated in [this paper](https://arxiv.org/abs/2304.0... |
ybelkada/english_quotes_copy | 2023-04-04T06:13:26.000Z | [
"region:us"
] | ybelkada | null | null | null | 0 | 367 | ---
dataset_info:
features:
- name: quote
dtype: string
- name: author
dtype: string
- name: tags
sequence: string
splits:
- name: train
num_bytes: 598359
num_examples: 2508
download_size: 349107
dataset_size: 598359
---
# Dataset Card for "english_quotes_copy"
[More Information nee... |
mstz/dexter | 2023-04-20T10:23:41.000Z | [
"task_categories:tabular-classification",
"language:en",
"dexter",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_dexter_168,
author = {Guyon,Isabelle, Gunn,Steve, Ben-Hur,Asa & Dror,Gideon},
title = {{Dexter}},
year = {2008},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5P898}}
} | null | 0 | 367 | ---
language:
- en
tags:
- dexter
- tabular_classification
- binary_classification
- UCI
pretty_name: Dexter
task_categories: # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
- tabular-classification
configs:
- dexter
---
# Dexter
The [Dexter dataset](https://archive-beta... |
result-kand2-sdxl-wuerst-karlo/812b079e | 2023-09-27T02:37:32.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 367 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 164
num_examples: 10
download_size: 1319
dataset_size: 164
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "812b079... |
voidful/NMSQA | 2023-04-04T04:46:23.000Z | [
"task_categories:question-answering",
"task_categories:automatic-speech-recognition",
"task_ids:abstractive-qa",
"annotations_creators:crowdsourced",
"annotations_creators:machine-generated",
"language_creators:expert-generated",
"language_creators:machine-generated",
"language_creators:crowdsourced",... | voidful | null | null | null | 7 | 366 | ---
annotations_creators:
- crowdsourced
- machine-generated
language_creators:
- expert-generated
- machine-generated
- crowdsourced
language:
- en
license: []
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- question-answering
- automatic-speech-recognition
task... |
cyberagent/crello | 2023-09-14T08:33:47.000Z | [
"task_categories:unconditional-image-generation",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cdla-permissive-2.0",
"graphic design",
"design templates",
"arxiv:2... | cyberagent | null | null | null | 13 | 366 | ---
annotations_creators:
- no-annotation
language:
- en
language_creators:
- found
license: cdla-permissive-2.0
multilinguality:
- monolingual
pretty_name: crello
size_categories:
- 10K<n<100K
source_datasets:
- original
tags:
- graphic design
- design templates
task_categories:
- unconditional-image-generation
task_i... |
result-kand2-sdxl-wuerst-karlo/043bd500 | 2023-09-27T02:37:30.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 366 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 164
num_examples: 10
download_size: 1319
dataset_size: 164
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "043bd50... |
kor_nlu | 2023-01-25T14:33:57.000Z | [
"task_categories:text-classification",
"task_ids:natural-language-inference",
"task_ids:semantic-similarity-scoring",
"task_ids:text-scoring",
"annotations_creators:found",
"language_creators:expert-generated",
"language_creators:found",
"language_creators:machine-generated",
"multilinguality:monoli... | null | The dataset contains data for bechmarking korean models on NLI and STS | null | null | 1 | 365 | ---
annotations_creators:
- found
language_creators:
- expert-generated
- found
- machine-generated
language:
- ko
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- extended|snli
task_categories:
- text-classification
task_ids:
- natural-language-inference
- semantic... |
garcianacho/human_genome_csv | 2023-10-04T12:41:28.000Z | [
"task_categories:token-classification",
"license:apache-2.0",
"biology",
"genome",
"human genome",
"bioinformatics",
"region:us"
] | garcianacho | null | null | null | 0 | 364 | ---
license: apache-2.0
task_categories:
- token-classification
tags:
- biology
- genome
- human genome
- bioinformatics
---
## Human Genome Dataset
Here is a human genome ready to be used to train LLM.
|
nulltella/bbc-articles-finetuning-classif | 2023-09-28T18:19:59.000Z | [
"region:us"
] | nulltella | null | null | null | 0 | 364 | Entry not found |
result-kand2-sdxl-wuerst-karlo/cc93a78b | 2023-09-27T06:17:25.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 364 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 239
num_examples: 10
download_size: 1420
dataset_size: 239
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "cc93a78... |
result-kand2-sdxl-wuerst-karlo/c9242d3b | 2023-09-27T04:27:02.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 363 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 220
num_examples: 10
download_size: 1395
dataset_size: 220
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "c9242d3... |
BeIR/nfcorpus-qrels | 2022-10-23T06:05:32.000Z | [
"task_categories:text-retrieval",
"task_ids:entity-linking-retrieval",
"task_ids:fact-checking-retrieval",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"region:us"
] | BeIR | null | null | null | 0 | 362 | ---
annotations_creators: []
language_creators: []
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: beir
pretty_name: BEIR Benchmark
size_categories:
msmarco:
- 1M<n<10M
trec-covid:
- 100k<n<1M
nfcorpus:
- 1K<n<10K
nq:
- 1M<n<10M
hotpotqa:
- 1M<n<10M
fiqa:
... |
Francesco/construction-safety-gsnvb | 2023-03-30T09:11:51.000Z | [
"task_categories:object-detection",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:cc",
"rf100",
"region:us"
] | Francesco | null | null | null | 2 | 362 | ---
dataset_info:
features:
- name: image_id
dtype: int64
- name: image
dtype: image
- name: width
dtype: int32
- name: height
dtype: int32
- name: objects
sequence:
- name: id
dtype: int64
- name: area
dtype: int64
- name: bbox
sequence: float32
lengt... |
DFKI-SLT/scidtb_argmin | 2023-08-08T12:46:04.000Z | [
"region:us"
] | DFKI-SLT | null | @inproceedings{accuosto-saggion-2019-transferring,
title = "Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts",
author = "Accuosto, Pablo and
Saggion, Horacio",
booktitle = "Proceedings of the 6th Workshop on Argument Mining",
month = aug,
year = "2019... | null | 0 | 360 | Entry not found |
Blablablab/SOCKET | 2023-10-10T20:51:48.000Z | [
"license:cc-by-4.0",
"arxiv:2305.14938",
"region:us"
] | Blablablab | A unified evaluation benchmark dataset for evaludating socialbility of NLP models. | @misc{choi2023llms,
title={Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark},
author={Minje Choi and Jiaxin Pei and Sagar Kumar and Chang Shu and David Jurgens},
year={2023},
eprint={2305.14938},
archivePrefix={arXiv},
pr... | null | 2 | 359 | ---
license: cc-by-4.0
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository: https://github.com/minjechoi/SOCKET
- **Paper: Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark [link](https://arxiv.org/abs/2305.14938)
- *... |
osunlp/MagicBrush | 2023-08-06T02:50:19.000Z | [
"task_categories:text-to-image",
"task_categories:image-to-image",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"arxiv:2306.10012",
"region:us"
] | osunlp | null | null | null | 29 | 359 | ---
license: cc-by-4.0
dataset_info:
features:
- name: img_id
dtype: string
- name: turn_index
dtype: int32
- name: source_img
dtype: image
- name: mask_img
dtype: image
- name: instruction
dtype: string
- name: target_img
dtype: image
splits:
- name: train
num_bytes: 25446... |
starmpcc/Asclepius-Synthetic-Clinical-Notes | 2023-09-04T01:27:17.000Z | [
"task_categories:question-answering",
"task_categories:summarization",
"task_categories:text-generation",
"task_categories:conversational",
"size_categories:100K<n<1M",
"language:en",
"license:cc-by-nc-sa-4.0",
"medical",
"arxiv:2309.00237",
"region:us"
] | starmpcc | null | null | null | 11 | 359 | ---
license: cc-by-nc-sa-4.0
task_categories:
- question-answering
- summarization
- text-generation
- conversational
language:
- en
tags:
- medical
pretty_name: 'Asclepius: Synthetic Clincal Notes & Instruction Dataset'
size_categories:
- 100K<n<1M
---
# Asclepius: Synthetic Clincal Notes & Instruction Dataset
## Dat... |
shariqfarooq/USYllmblue | 2023-09-27T00:10:28.000Z | [
"region:us"
] | shariqfarooq | null | null | null | 0 | 359 | ---
dataset_info:
features:
- name: gligen
dtype: image
- name: layoutgpt
dtype: image
- name: llmgrounded
dtype: image
- name: ours
dtype: image
- name: stablediffusion
dtype: image
- name: caption
dtype: string
splits:
- name: train
num_bytes: 96699641.0
num_examples:... |
TigerResearch/tigerbot-alpaca-en-50k | 2023-05-31T01:56:04.000Z | [
"language:en",
"license:apache-2.0",
"region:us"
] | TigerResearch | null | null | null | 0 | 356 | ---
license: apache-2.0
language:
- en
---
[Tigerbot](https://github.com/TigerResearch/TigerBot) 自有基于alpaca生成英文问答对
<p align="center" width="40%">
## Usage
```python
import datasets
ds_sft = datasets.load_dataset('TigerResearch/tigerbot-alpaca-en-50k')
``` |
dangne/processed-wikipedia-20220301.simple | 2022-08-02T16:41:20.000Z | [
"region:us"
] | dangne | null | null | null | 0 | 355 | Entry not found |
amitness/maltese-news-classification | 2023-09-28T10:34:14.000Z | [
"language:mt",
"region:us"
] | amitness | null | null | null | 0 | 355 | ---
language: mt
dataset_info:
features:
- name: url
dtype: string
- name: title
dtype: string
- name: base_url
dtype: string
- name: text
dtype: string
- name: Court
dtype: int64
- name: Covid
dtype: int64
- name: Culture
dtype: int64
- name: EU
dtype: int64
- name: ... |
robertmyers/targon | 2023-09-21T22:04:29.000Z | [
"region:us"
] | robertmyers | null | null | null | 0 | 355 | Entry not found |
numer_sense | 2022-11-18T21:34:07.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:slot-filling",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|other",
"language:en",
"license:mit",
"arxiv:... | null | NumerSense is a new numerical commonsense reasoning probing task, with a diagnostic dataset consisting of 3,145 masked-word-prediction probes.
We propose to study whether numerical commonsense knowledge can be induced from pre-trained language models like BERT, and to what extent this access to knowledge robust agains... | @inproceedings{lin2020numersense,
title={Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models},
author={Bill Yuchen Lin and Seyeon Lee and Rahul Khanna and Xiang Ren},
booktitle={Proceedings of EMNLP},
year={2020},
note={to appear}
} | null | 1 | 354 | ---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- extended|other
task_categories:
- text-generation
- fill-mask
task_ids:
- slot-filling
paperswithcode_id: numersense
pretty_name: N... |
selqa | 2023-01-25T14:43:46.000Z | [
"task_categories:question-answering",
"task_ids:open-domain-qa",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:apache-2.0",
"arxiv:1606.00851",
"region:us"
] | null | The SelQA dataset provides crowdsourced annotation for two selection-based question answer tasks,
answer sentence selection and answer triggering. | @InProceedings{7814688,
author={T. {Jurczyk} and M. {Zhai} and J. D. {Choi}},
booktitle={2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI)},
title={SelQA: A New Benchmark for Selection-Based Question Answering},
year={2016},
volume={},
number={},
pages={820-827},
doi=... | null | 0 | 354 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- open-domain-qa
paperswithcode_id: selqa
pretty_name: SelQA
dataset_info:
- con... |
mteb/askubuntudupquestions-reranking | 2022-09-27T19:11:08.000Z | [
"language:en",
"region:us"
] | mteb | null | null | null | 0 | 354 | ---
language:
- en
--- |
mteb/sprintduplicatequestions-pairclassification | 2022-09-27T19:15:57.000Z | [
"language:en",
"region:us"
] | mteb | null | null | null | 0 | 353 | ---
language:
- en
--- |
nielsr/docvqa_1200_examples | 2022-08-05T14:20:07.000Z | [
"region:us"
] | nielsr | null | null | null | 1 | 352 | Entry not found |
sedthh/gutenberg_english | 2023-03-17T09:50:22.000Z | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"project gutenberg",
"e-book",
"gutenberg.org",
"region:us"
] | sedthh | null | null | null | 3 | 352 | ---
dataset_info:
features:
- name: TEXT
dtype: string
- name: SOURCE
dtype: string
- name: METADATA
dtype: string
splits:
- name: train
num_bytes: 18104255935
num_examples: 48284
download_size: 10748877194
dataset_size: 18104255935
license: mit
task_categories:
- text-generation
lan... |
d0rj/audiocaps | 2023-06-30T12:17:56.000Z | [
"task_categories:text-to-speech",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:mit",
"youtube",
"captions",
"region:us"
] | d0rj | null | null | null | 0 | 352 | ---
dataset_info:
features:
- name: audiocap_id
dtype: int64
- name: youtube_id
dtype: string
- name: start_time
dtype: int64
- name: caption
dtype: string
splits:
- name: train
num_bytes: 4162928
num_examples: 49838
- name: validation
num_bytes: 198563
num_examples: 2475... |
jxie/aircraft | 2023-08-16T00:10:15.000Z | [
"region:us"
] | jxie | null | null | null | 0 | 352 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': '0'
... |
QingyiSi/Alpaca-CoT | 2023-09-14T08:52:10.000Z | [
"language:en",
"language:zh",
"language:ml",
"license:apache-2.0",
"Instruction",
"Cot",
"region:us"
] | QingyiSi | null | null | null | 491 | 351 | ---
language:
- en
- zh
- ml
tags:
- Instruction
- Cot
license: apache-2.0
datasets:
- dataset1
- dataset2
---
# Instruction-Finetuning Dataset Collection (Alpaca-CoT)
This repository will continuously collect various instruction tuning datasets. And we standardize different datasets into the same format, which... |
CheshireAI/guanaco-unchained | 2023-08-17T00:12:34.000Z | [
"size_categories:1K<n<10K",
"language:en",
"license:apache-2.0",
"region:us"
] | CheshireAI | null | null | null | 21 | 351 | ---
license: apache-2.0
language:
- en
pretty_name: Guanaco Unchained
size_categories:
- 1K<n<10K
---
# Guanaco Unchained
"Guanaco Unchained" is a refined and optimized version of the original [Guanaco dataset](https://huggingface.co/datasets/timdettmers/openassistant-guanaco). It is specifically curated to maintain h... |
open_subtitles | 2023-06-01T14:59:58.000Z | [
"task_categories:translation",
"annotations_creators:found",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"size_categories:1M<n<10M",
"size_categories:n<1K",
"source_datasets:original",
"language:af",
"language:ar",
"language:bg",
"language:bn",
"l... | null | This is a new collection of translated movie subtitles from http://www.opensubtitles.org/.
IMPORTANT: If you use the OpenSubtitle corpus: Please, add a link to http://www.opensubtitles.org/ to your website and to your reports and publications produced with the data!
This is a slightly cleaner version of the subtitle ... | P. Lison and J. Tiedemann, 2016, OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016) | null | 29 | 350 | ---
annotations_creators:
- found
language_creators:
- found
language:
- af
- ar
- bg
- bn
- br
- bs
- ca
- cs
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- gl
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- ka
- kk
- ko
- lt
- lv
- mk
- ml
- ms
- nl
- 'no'
- pl
- pt
- ro
- ru
- si
- sk
- sl
- sq
- sr
- sv
- ... |
medalpaca/medical_meadow_wikidoc | 2023-04-06T17:05:18.000Z | [
"task_categories:question-answering",
"language:en",
"license:cc",
"region:us"
] | medalpaca | null | null | null | 1 | 350 | ---
license: cc
task_categories:
- question-answering
language:
- en
---
# Dataset Card for WikiDoc
For the dataset containing patient information from wikidoc refer to [this dataset](https://huggingface.co/datasets/medalpaca/medical_meadow_wikidoc_patient_information)
## Dataset Description
- **Source:** https://www... |
result-kand2-sdxl-wuerst-karlo/6155933b | 2023-09-27T13:21:58.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 350 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 215
num_examples: 10
download_size: 1402
dataset_size: 215
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "6155933... |
ml6team/cnn_dailymail_nl | 2022-10-22T14:03:06.000Z | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:https://github.com/huggingface/datasets/tree/master/datasets/cnn_dailymail",
"language:nl",
"license:mit",
"region:us"
] | ml6team | 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',
... | @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... | null | 13 | 349 | ---
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... |
ai4bharat/IndicSentiment | 2023-05-26T11:07:29.000Z | [
"region:us"
] | ai4bharat | \ | \ | null | 2 | 349 | Entry not found |
result-kand2-sdxl-wuerst-karlo/94c40829 | 2023-09-27T15:58:35.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 349 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 271
num_examples: 10
download_size: 1428
dataset_size: 271
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "94c4082... |
result-kand2-sdxl-wuerst-karlo/3ec30f64 | 2023-09-27T16:06:02.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 349 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 218
num_examples: 10
download_size: 1399
dataset_size: 218
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "3ec30f6... |
qa_srl | 2022-11-18T21:40:16.000Z | [
"task_categories:question-answering",
"task_ids:multiple-choice-qa",
"task_ids:open-domain-qa",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:unknown",
... | null | The dataset contains question-answer pairs to model verbal predicate-argument structure. The questions start with wh-words (Who, What, Where, What, etc.) and contain a verb predicate in the sentence; the answers are phrases in the sentence.
There were 2 datsets used in the paper, newswire and wikipedia. Unfortunately t... | @InProceedings{huggingface:dataset,
title = {QA-SRL: Question-Answer Driven Semantic Role Labeling},
authors={Luheng He, Mike Lewis, Luke Zettlemoyer},
year={2015}
publisher = {cs.washington.edu},
howpublished={\\url{https://dada.cs.washington.edu/qasrl/#page-top}},
} | null | 1 | 348 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- multiple-choice-qa
- open-domain-qa
paperswithcode_id: qa-srl
pr... |
result-kand2-sdxl-wuerst-karlo/634fb531 | 2023-09-27T16:00:39.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 348 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 273
num_examples: 10
download_size: 1461
dataset_size: 273
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "634fb53... |
LysandreJik/glue-mnli-train | 2021-10-12T01:51:04.000Z | [
"region:us"
] | LysandreJik | null | null | null | 0 | 347 | Entry not found |
sil-ai/bloom-captioning | 2022-12-10T02:16:13.000Z | [
"task_ids:image-captioning",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:afr",
"language:af",
"language:aaa",
"language:abc",
"language:ada",
"language:adq",
... | sil-ai | """
_HOMEPAGE = | """
# _URL_FOR_BLOOM_VIST_ANNOTATIONS = "https://bloom-vist.s3.amazonaws.com/bloom-vist.json" # outdated
_URL_FOR_BLOOM_VIST_ANNOTATIONS = "https://bloom-vist.s3.amazonaws.com/bloom_vist_june15.json" # updated with more captions, etc.
# _URL_FOR_BLOOM_VIST_ANNOTATIONS_DEDUPED = "https://bloom-vist.s3.amazonaws.com/blo... | null | 12 | 347 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- afr
- af
- aaa
- abc
- ada
- adq
- aeu
- agq
- ags
- ahk
- aia
- ajz
- aka
- ak
- ame
- amh
- am
- amp
- amu
- ann
- aph
- awa
- awb
- azn
- azo
- bag
- bam
- bm
- baw
- bax
- bbk
- bcc
- bce
- bec
- bef
- ben
- bn
- bfd
- bf... |
adsabs/FOCAL | 2023-10-06T15:13:28.000Z | [
"task_categories:token-classification",
"annotations_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"license:cc-by-4.0",
"astronomy",
"region:us"
] | adsabs | null | null | null | 1 | 347 | ---
annotations_creators:
- expert-generated
license: cc-by-4.0
task_categories:
- token-classification
language:
- en
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
tags:
- astronomy
---
# Function Of Citation in Astrophysics Literature (FOCAL): Dataset and Task
*Can you explain why the authors made a giv... |
AdaptLLM/medicine-tasks | 2023-09-26T08:36:39.000Z | [
"arxiv:2309.09530",
"region:us"
] | AdaptLLM | null | null | null | 1 | 347 | ---
configs:
- config_name: ChemProt
data_files:
- split: test
path: "ChemProt/test.json"
- config_name: MQP
data_files:
- split: test
path: "MedQs/test.json"
- config_name: PubMedQA
data_files:
- split: test
path: "pubmed_qa/test.json"
- config_name: RCT
data_files:
- split: t... |
mstz/diamonds | 2023-04-16T17:27:20.000Z | [
"task_categories:tabular-classification",
"size_categories:10K<n<100K",
"language:en",
"license:cc",
"student performance",
"tabular_classification",
"multiclass_classification",
"UCI",
"region:us"
] | mstz | null | null | null | 0 | 346 | ---
language:
- en
tags:
- student performance
- tabular_classification
- multiclass_classification
- UCI
pretty_name: Diamond
size_categories:
- 10K<n<100K
task_categories:
- tabular-classification
configs:
- encoding
- cut
- cut_binary
license: cc
---
# Diamonds
The [Diamonds dataset](https://www.kaggle.com/datasets/... |
result-kand2-sdxl-wuerst-karlo/52b331a6 | 2023-09-27T18:08:07.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 346 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 189
num_examples: 10
download_size: 1383
dataset_size: 189
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "52b331a... |
circa | 2023-01-25T14:28:00.000Z | [
"task_categories:text-classification",
"task_ids:multi-class-classification",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:cc-by-4.0",
"question-answer-pai... | null | The Circa (meaning ‘approximately’) dataset aims to help machine learning systems
to solve the problem of interpreting indirect answers to polar questions.
The dataset contains pairs of yes/no questions and indirect answers, together with
annotations for the interpretation of the answer. The data is collected in 10
di... | @InProceedings{louis_emnlp2020,
author = "Annie Louis and Dan Roth and Filip Radlinski",
title = ""{I}'d rather just go to bed": {U}nderstanding {I}ndirect {A}nswers",
booktitle = "Proceedings of the 2020 Conference on Empirical Methods
in Natural Language Processing",
year = "2020",
} | null | 2 | 345 | ---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- multi-class-classification
paperswithcode_id: circa
pretty_name: ... |
codeparrot/xlcost-text-to-code | 2022-10-25T09:30:47.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:multilingual",
"size_categories:unknown",
"language:code",
"license:cc-by-sa-4.0",
"arxiv:2206.08474",
"region:us"
] | codeparrot | XLCoST is a machine learning benchmark dataset that contains fine-grained parallel data in 7 commonly used programming languages (C++, Java, Python, C#, Javascript, PHP, C), and natural language (English). | @misc{zhu2022xlcost,
title = {XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence},
url = {https://arxiv.org/abs/2206.08474},
author = {Zhu, Ming and Jain, Aneesh and Suresh, Karthik and Ravindran, Roshan and Tipirneni, Sindhu and Reddy, Chandan K.},
year = {2022},
eprint={2206.0847... | null | 22 | 345 | ---
annotations_creators: []
language_creators:
- crowdsourced
- expert-generated
language:
- code
license:
- cc-by-sa-4.0
multilinguality:
- multilingual
size_categories:
- unknown
source_datasets: []
task_categories:
- text-generation
task_ids:
- language-modeling
pretty_name: xlcost-text-to-code
---
# XLCost for te... |
Babelscape/multinerd | 2023-04-20T12:43:31.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"annotations_creators:machine-generated",
"language_creators:machine-generated",
"multilinguality:multilingual",
"source_datasets:original",
"language:de",
"language:en",
"language:es",
"language:fr",
"language:it",
"... | Babelscape | null | null | null | 7 | 345 | ---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- de
- en
- es
- fr
- it
- nl
- pl
- pt
- ru
- zh
license:
- cc-by-nc-sa-4.0
multilinguality:
- multilingual
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name... |
jxie/flickr8k | 2023-06-25T22:25:03.000Z | [
"region:us"
] | jxie | null | null | null | 0 | 345 | ---
dataset_info:
features:
- name: image
dtype: image
- name: caption_0
dtype: string
- name: caption_1
dtype: string
- name: caption_2
dtype: string
- name: caption_3
dtype: string
- name: caption_4
dtype: string
splits:
- name: train
num_bytes: 826721431.0
num_exampl... |
KShivendu/dbpedia-entities-openai-1M | 2023-07-07T08:35:48.000Z | [
"size_categories:1M<n<10M",
"language:en",
"license:mit",
"region:us"
] | KShivendu | null | null | null | 6 | 344 | ---
license: mit
dataset_info:
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
- name: openai
sequence: float32
splits:
- name: train
num_bytes: 12383152
num_examples: 1000000
download_size: 12383152
dataset_size: 1000000
language:
- e... |
result-kand2-sdxl-wuerst-karlo/7f0dfe44 | 2023-09-27T19:12:09.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 344 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 212
num_examples: 10
download_size: 1370
dataset_size: 212
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "7f0dfe4... |
reddit_tifu | 2023-06-15T21:21:20.000Z | [
"task_categories:summarization",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"source_datasets:original",
"language:en",
"license:mit",
"reddit-posts-summarization",
"arxiv:1811.00783",
"region:us"
] | null | Reddit dataset, where TIFU denotes the name of subbreddit /r/tifu.
As defined in the publication, styel "short" uses title as summary and
"long" uses tldr as summary.
Features includes:
- document: post text without tldr.
- tldr: tldr line.
- title: trimmed title without tldr.
- ups: upvotes.
- score: score.... | @misc{kim2018abstractive,
title={Abstractive Summarization of Reddit Posts with Multi-level Memory Networks},
author={Byeongchang Kim and Hyunwoo Kim and Gunhee Kim},
year={2018},
eprint={1811.00783},
archivePrefix={arXiv},
primaryClass={cs.CL}
} | null | 5 | 343 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- mit
multilinguality:
- monolingual
pretty_name: Reddit TIFU
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- summarization
task_ids: []
paperswithcode_id: reddit-tifu
tags:
- reddit-posts-summ... |
result-kand2-sdxl-wuerst-karlo/196211bd | 2023-09-27T20:00:16.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | null | 0 | 343 | ---
dataset_info:
features:
- name: result
dtype: string
- name: id
dtype: int64
splits:
- name: train
num_bytes: 217
num_examples: 10
download_size: 1421
dataset_size: 217
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "196211b... |
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