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 |
|---|---|---|---|---|---|---|---|---|---|
sagnikrayc/adversarial_hotpotqa | 2023-08-21T22:47:53.000Z | [
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:en",
"license:afl-3.0",
"region:us"
] | sagnikrayc | This dataset is from the paper: "Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for
Multi-Hop QA" by Yichen Jiang and Mohit Bansal.
The dataset was created using the code provided in the repo: https://github.com/jiangycTarheel-zz/Adversarial-MultiHopQA. | @inproceedings{jiang-bansal-2019-avoiding,
title = "Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop {QA}",
author = "Jiang, Yichen and
Bansal, Mohit",
booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguisti... | null | 0 | 71 | ---
license: afl-3.0
task_categories:
- question-answering
language:
- en
pretty_name: Adversarial-MultiHopQA
size_categories:
- 10K<n<100K
---
This dataset is from the paper: "Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA" by Yichen Jiang and Mohit Bansal.
The... |
imoxto/prompt_injection_hackaprompt_gpt35 | 2023-08-29T13:21:20.000Z | [
"region:us"
] | imoxto | null | null | null | 0 | 71 | ---
dataset_info:
features:
- name: labels
dtype: int64
- name: text
dtype: string
splits:
- name: train
num_bytes: 271856355
num_examples: 227042
download_size: 35972535
dataset_size: 271856355
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dat... |
smangrul/chat-instruct-mixer | 2023-09-08T05:44:19.000Z | [
"region:us"
] | smangrul | null | null | null | 2 | 71 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: content
dtype: string
splits:
- name: train
num_bytes: 169947792.7111158
num_examples: 73302
- name: test
num_bytes: 48395025.62775446... |
openbmb/UltraFeedback | 2023-09-30T16:39:29.000Z | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:en",
"license:mit",
"region:us"
] | openbmb | null | null | null | 24 | 71 | ---
license: mit
task_categories:
- text-generation
language:
- en
size_categories:
- 100K<n<1M
---
## Introduction
- [GitHub Repo](https://github.com/thunlp/UltraFeedback)
- [UltraRM-13b](https://huggingface.co/openbmb/UltraRM-13b)
- [UltraCM-13b](https://huggingface.co/openbmb/UltraCM-13b)
UltraFeedback is a **large... |
vitaliy-sharandin/climate-krakow-temp-monthly | 2023-09-27T11:57:15.000Z | [
"region:us"
] | vitaliy-sharandin | null | null | null | 0 | 71 | ---
dataset_info:
features:
- name: Absolute maximum temperature [°C]
dtype: float64
- name: Absolute minimum temperature [°C]
dtype: float64
- name: Average monthly temperature [°C]
dtype: float64
- name: dt
dtype: timestamp[ns]
splits:
- name: train
num_bytes: 27904
num_examples:... |
yashnbx/l27b-E02-large-b10-1314-3 | 2023-09-30T16:29:18.000Z | [
"region:us"
] | yashnbx | null | null | null | 0 | 71 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
splits:
- name: test
num_bytes: 1013014
num_examples: 146
- name: train
num_bytes: 9077266
num_examples: 1314
download_size: 16... |
EduardoPacheco/wuerstchen-hugging-face-discord | 2023-10-11T00:15:36.000Z | [
"license:apache-2.0",
"region:us"
] | EduardoPacheco | null | null | null | 0 | 71 | ---
license: apache-2.0
dataset_info:
features:
- name: caption
dtype: string
- name: link
dtype: string
- name: message_id
dtype: string
- name: timestamp
dtype: string
splits:
- name: train
num_bytes: 272560
num_examples: 882
download_size: 137482
dataset_size: 272560
configs... |
cmu_hinglish_dog | 2023-03-17T10:14:14.000Z | [
"task_categories:translation",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"multilinguality:translation",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"language:hi",
"license:cc-by-sa-3.0",
"license:gfdl",
... | null | This is a collection of text conversations in Hinglish (code mixing between Hindi-English) and their corresponding English only versions. Can be used for Translating between the two. | @inproceedings{cmu_dog_emnlp18,
title={A Dataset for Document Grounded Conversations},
author={Zhou, Kangyan and Prabhumoye, Shrimai and Black, Alan W},
year={2018},
booktitle={Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing}
}
@inproceedings{khanuja-etal-2020-glu... | null | 4 | 70 | ---
annotations_creators:
- machine-generated
language_creators:
- crowdsourced
language:
- en
- hi
license:
- cc-by-sa-3.0
- gfdl
multilinguality:
- multilingual
- translation
pretty_name: CMU Document Grounded Conversations
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- translation
task_id... |
ett | 2022-11-18T22:07:07.000Z | [
"task_categories:time-series-forecasting",
"task_ids:univariate-time-series-forecasting",
"task_ids:multivariate-time-series-forecasting",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"license:... | null | The data of Electricity Transformers from two separated counties
in China collected for two years at hourly and 15-min frequencies.
Each data point consists of the target value "oil temperature" and
6 power load features. The train/val/test is 12/4/4 months. | @inproceedings{haoyietal-informer-2021,
author = {Haoyi Zhou and
Shanghang Zhang and
Jieqi Peng and
Shuai Zhang and
Jianxin Li and
Hui Xiong and
Wancai Zhang},
title = {Informer: Beyond Efficient Transformer for Long Se... | null | 3 | 70 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language: []
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: Electricity Transformer Temperature
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- time-series-forecasting
task_ids:
- univariate-time-series-for... |
s-nlp/paradetox | 2023-09-08T08:59:53.000Z | [
"task_categories:text-generation",
"language:en",
"license:openrail++",
"region:us"
] | s-nlp | null | null | null | 7 | 70 | ---
license: openrail++
task_categories:
- text-generation
language:
- en
---
# ParaDetox: Detoxification with Parallel Data (English)
This repository contains information about Paradetox dataset -- the first parallel corpus for the detoxification task -- as well as models and evaluation methodology for the detoxific... |
ceyda/fashion-products-small | 2022-07-21T08:24:03.000Z | [
"region:us"
] | ceyda | null | null | null | 4 | 70 | For test purposes!
Preprocessed version of https://www.kaggle.com/datasets/paramaggarwal/fashion-product-images-dataset
Images resized to have max 512 |
KevinSpaghetti/cadec | 2022-10-06T13:09:46.000Z | [
"region:us"
] | KevinSpaghetti | null | null | null | 1 | 70 | Entry not found |
bigbio/linnaeus | 2022-12-22T15:44:50.000Z | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"region:us"
] | bigbio | Linnaeus is a novel corpus of full-text documents manually annotated for species mentions. | @Article{gerner2010linnaeus,
title={LINNAEUS: a species name identification system for biomedical literature},
author={Gerner, Martin and Nenadic, Goran and Bergman, Casey M},
journal={BMC bioinformatics},
volume={11},
number={1},
pages={1--17},
year={2010},
publisher={BioMed Central}
} | null | 0 | 70 |
---
language:
- en
bigbio_language:
- English
license: cc-by-4.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: LINNAEUS
homepage: http://linnaeus.sourceforge.net/
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
- NAMED_ENTITY_DISAMBIGUATION
---
# Da... |
Kaludi/Customer-Support-Responses | 2023-03-27T23:11:45.000Z | [
"region:us"
] | Kaludi | null | null | null | 1 | 70 | Entry not found |
mstz/madelon | 2023-04-16T17:34:04.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"language:en",
"license:cc",
"madelon",
"tabular_classification",
"UCI",
"region:us"
] | mstz | null | null | null | 0 | 70 | ---
language:
- en
tags:
- madelon
- tabular_classification
- UCI
pretty_name: Madelon
size_categories:
- 1K<n<10K
task_categories:
- tabular-classification
configs:
- Madelon
license: cc
---
# Annealing
The [Madelon dataset](https://archive-beta.ics.uci.edu/dataset/171/madelon) from the [UCI ML repository](https://arc... |
azcorpus/azcorpus_v0 | 2023-09-20T10:24:11.000Z | [
"license:openrail",
"region:us"
] | azcorpus | null | null | null | 13 | 70 | ---
extra_gated_prompt: "You agree to not use the dataset to conduct experiments that cause harm to human subjects."
extra_gated_fields:
Name and Surname: text
Email: text
Company: text
Purpose of Use: text
I agree to use this dataset for non-commercial use ONLY: checkbox
license: openrail
---
 from the [UCI ML repository](https://ar... |
mstz/planning | 2023-04-16T17:57:54.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"planning",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_planning_relax_230,
author = {Bhatt,Rajen},
title = {{Planning Relax}},
year = {2012},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5T023}}
} | null | 0 | 70 | ---
language:
- en
tags:
- planning
- tabular_classification
- binary_classification
- UCI
pretty_name: Planning
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- planning
license: cc
---
# Planning
The [Planning dataset](https://archive.ics.uci.edu/ml/datasets/Planning) from the [UCI ML repo... |
mstz/spambase | 2023-04-16T18:02:22.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"language:en",
"license:cc",
"spambase",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_spambase_94,
author = {Hopkins,Mark, Reeber,Erik, Forman,George & Suermondt,Jaap},
title = {{Spambase}},
year = {1999},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C53G6X}}
} | null | 0 | 70 | ---
language:
- en
tags:
- spambase
- tabular_classification
- binary_classification
- UCI
pretty_name: Spambase
size_categories:
- 1K<n<10K
task_categories:
- tabular-classification
configs:
- spambase
license: cc
---
# Spambase
The [Spambase dataset](https://archive.ics.uci.edu/ml/datasets/Spambase) from the [UCI ML ... |
mstz/vertebral_column | 2023-04-16T18:03:50.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"vertebral_column",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_vertebral_column_212,
author = {Barreto,Guilherme & Neto,Ajalmar},
title = {{Vertebral Column}},
year = {2011},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5K89B}}
} | null | 0 | 70 | ---
language:
- en
tags:
- vertebral_column
- tabular_classification
- binary_classification
- UCI
pretty_name: Vertebral Column
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- vertebral
license: cc
---
# Vertebral Column
The [Vertebral Column dataset](https://archive.ics.uci.edu/ml/dataset... |
mstz/page_blocks | 2023-04-16T17:57:31.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"language:en",
"license:cc",
"page_blocks",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"region:us"
] | mstz | null | @misc{misc_page_blocks_classification_78,
author = {Malerba,Donato},
title = {{Page Blocks Classification}},
year = {1995},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5J590}}
} | null | 0 | 70 | ---
language:
- en
tags:
- page_blocks
- tabular_classification
- binary_classification
- multiclass_classification
pretty_name: Page Blocks
size_categories:
- 1K<n<10K
task_categories:
- tabular-classification
configs:
- page_blocks
- page_blocks_binary
license: cc
---
# PageBlocks
The [PageBlocks dataset](https://arc... |
mstz/sydt | 2023-04-18T08:27:15.000Z | [
"task_categories:tabular-classification",
"language:en",
"sydt",
"tabular_classification",
"binary_classification",
"synthetic",
"region:us"
] | mstz | null | null | null | 0 | 70 | ---
language:
- en
tags:
- sydt
- tabular_classification
- binary_classification
- synthetic
pretty_name: Sydt
task_categories: # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
- tabular-classification
configs:
- sydt
---
# Sydt
Synthetic dataset. |
edarchimbaud/earnings-estimate-stocks | 2023-10-07T23:13:59.000Z | [
"region:us"
] | edarchimbaud | null | null | null | 1 | 70 | ---
dataset_info:
features:
- name: symbol
dtype: string
- name: date
dtype: string
- name: current_qtr
dtype: string
- name: no_of_analysts_current_qtr
dtype: int64
- name: next_qtr
dtype: string
- name: no_of_analysts_next_qtr
dtype: int64
- name: current_year
dtype: int64
... |
edarchimbaud/eps-revisions-stocks | 2023-10-07T23:14:38.000Z | [
"region:us"
] | edarchimbaud | null | null | null | 0 | 70 | ---
dataset_info:
features:
- name: symbol
dtype: string
- name: date
dtype: string
- name: current_qtr
dtype: string
- name: up_last_7_days_current_qtr
dtype: float64
- name: next_qtr
dtype: string
- name: up_last_7_days_next_qtr
dtype: float64
- name: current_year
dtype: in... |
edarchimbaud/eps-trend-stocks | 2023-10-07T23:14:50.000Z | [
"region:us"
] | edarchimbaud | null | null | null | 1 | 70 | ---
dataset_info:
features:
- name: symbol
dtype: string
- name: date
dtype: string
- name: current_qtr
dtype: string
- name: current_estimate_current_qtr
dtype: float64
- name: next_qtr
dtype: string
- name: current_estimate_next_qtr
dtype: float64
- name: current_year
dtype... |
edarchimbaud/earnings-surprise-stocks | 2023-10-07T23:14:27.000Z | [
"region:us"
] | edarchimbaud | null | null | null | 1 | 70 | ---
dataset_info:
features:
- name: symbol
dtype: string
- name: date
dtype: string
- name: id
dtype: int64
- name: fiscal_qtr_end
dtype: string
- name: date_reported
dtype: timestamp[ns]
- name: eps
dtype: float64
- name: consensus_forecast
dtype: string
- name: percentage... |
LeoLM/MMLU_de | 2023-06-15T01:41:53.000Z | [
"license:mit",
"region:us"
] | LeoLM | null | null | null | 0 | 70 | ---
license: mit
---
# Massive Multitask Language Understanding (MMLU) in German
This dataset is to be used for the evaluation of LLM German language understanding.
It is based on the hendrycksTest dataset ([here](https://huggingface.co/datasets/cais/mmlu) and [here](https://huggingface.co/datasets/tasksource/mmlu)) ... |
HausaNLP/NaijaSenti-Twitter | 2023-06-16T16:42:04.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-analysis",
"task_ids:sentiment-classification",
"task_ids:sentiment-scoring",
"task_ids:semantic-similarity-classification",
"task_ids:semantic-similarity-scoring",
"multilinguality:monolingual",
"multilinguality:multilingual",
"size_categor... | HausaNLP | NaijaSenti is the first large-scale human-annotated Twitter sentiment dataset for the four most widely spoken languages in Nigeria — Hausa, Igbo, Nigerian-Pidgin, and Yorùbá — consisting of around 30,000 annotated tweets per language, including a significant fraction of code-mixed tweets. | @inproceedings{muhammad-etal-2022-naijasenti,
title = "{N}aija{S}enti: A {N}igerian {T}witter Sentiment Corpus for Multilingual Sentiment Analysis",
author = "Muhammad, Shamsuddeen Hassan and
Adelani, David Ifeoluwa and
Ruder, Sebastian and
Ahmad, Ibrahim Sa{'}id and
Abdulmumin, Idri... | null | 0 | 70 | ---
license: cc-by-nc-sa-4.0
task_categories:
- text-classification
task_ids:
- sentiment-analysis
- sentiment-classification
- sentiment-scoring
- semantic-similarity-classification
- semantic-similarity-scoring
tags:
- sentiment analysis, Twitter, tweets
- sentiment
multilinguality:
- monolingual
- multilingual
size_... |
llm-book/jsnli | 2023-06-19T12:32:29.000Z | [
"size_categories:100K<n<1M",
"language:ja",
"license:cc-by-sa-4.0",
"region:us"
] | llm-book | null | null | null | 0 | 70 | ---
language:
- ja
size_categories:
- 100K<n<1M
license:
- cc-by-sa-4.0
dataset_info:
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype: string
splits:
- name: train
num_bytes: 97491392
num_examples: 533005
- name: validation
num_bytes: 71... |
awettig/Pile-Books3-0.5B-6K-opt | 2023-07-10T19:38:57.000Z | [
"region:us"
] | awettig | null | null | null | 1 | 70 | ---
dataset_info:
features:
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 6500959920
num_examples: 81380
- name: test
num_bytes: 64945692
num_examples: 813
download_size: 1711566471
da... |
HAERAE-HUB/csatqa | 2023-09-10T17:12:24.000Z | [
"task_categories:multiple-choice",
"language:ko",
"region:us"
] | HAERAE-HUB | CSAT-QA | \ | null | 6 | 70 | ---
dataset_info:
features:
- name: test_name
dtype: string
- name: question_number
dtype: int64
- name: context
dtype: string
- name: question
dtype: string
- name: gold
dtype: int64
- name: option#1
dtype: string
- name: option#2
dtype: string
- name: option#3
dtype: ... |
taishi-i/nagisa_stopwords | 2023-08-06T17:58:31.000Z | [
"size_categories:n<1K",
"language:ja",
"license:mit",
"stopwords",
"region:us"
] | taishi-i | Japanese stopwords for nagisa. | null | null | 0 | 70 | ---
license: mit
tags:
- stopwords
pretty_name: stopwords
size_categories:
- n<1K
language:
- ja
---
# Japanese stopwords for nagisa
This is a stopword list of frequently used words in the Japanese language, created according to the tokenization rules of the Japanese text analysis library, [nagisa](https://github.co... |
dim/oasst_ru | 2023-08-13T14:31:15.000Z | [
"license:mit",
"region:us"
] | dim | null | null | null | 0 | 70 | ---
license: mit
dataset_info:
features:
- name: conversation_ids
sequence: string
- name: conversation_text
sequence: string
- name: status
dtype: string
splits:
- name: train
num_bytes: 7962688
num_examples: 3140
download_size: 2781053
dataset_size: 7962688
---
|
silk-road/Chat-Haruhi-Fusion-A_B | 2023-08-24T16:47:29.000Z | [
"region:us"
] | silk-road | null | null | null | 3 | 70 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: context
dtype: string
- name: target
dtype: string
splits:
- name: train
num_bytes: 259951538
num_examples: 66519
download_size: 0
dataset_size: 259951538
---
# Dataset... |
seara/ru_go_emotions | 2023-08-25T19:13:08.000Z | [
"task_categories:text-classification",
"task_categories:translation",
"task_ids:multi-class-classification",
"task_ids:multi-label-classification",
"task_ids:sentiment-analysis",
"task_ids:sentiment-classification",
"size_categories:10K<n<100K",
"size_categories:100K<n<1M",
"source_datasets:go_emoti... | seara | null | null | null | 1 | 70 | ---
dataset_info:
- config_name: raw
features:
- name: ru_text
dtype: string
- name: text
dtype: string
- name: id
dtype: string
- name: author
dtype: string
- name: subreddit
dtype: string
- name: link_id
dtype: string
- name: parent_id
dtype: string
- name: created_utc
... |
yzhuang/autotree_automl_100000_MagicTelescope_sgosdt_l256_dim10_d3_sd0 | 2023-09-08T16:50:49.000Z | [
"region:us"
] | yzhuang | null | null | null | 0 | 70 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: input_x
sequence:
sequence: float32
- name: input_y
sequence:
sequence: float32
- name: input_y_clean
sequence:
sequence: float32
- name: rtg
sequence: float64
- name: status
sequence:
sequence: flo... |
tyzhu/squad_instruction_v1_train_100 | 2023-09-12T17:04:55.000Z | [
"region:us"
] | tyzhu | null | null | null | 0 | 70 | ---
dataset_info:
features:
- name: inputs
dtype: string
- name: targets
dtype: string
- name: question
dtype: string
- name: context
dtype: string
- name: answers
struct:
- name: answer_start
sequence: int64
- name: text
sequence: string
- name: id
dtype: strin... |
vitaliy-sharandin/pollution-absolute-variation-co2 | 2023-09-20T16:05:19.000Z | [
"region:us"
] | vitaliy-sharandin | null | null | null | 0 | 70 | ---
dataset_info:
features:
- name: Entity
dtype: string
- name: Code
dtype: string
- name: Annual CO₂ emissions growth (abs)
dtype: float64
- name: Year
dtype: timestamp[ns, tz=UTC]
- name: dt
dtype: timestamp[ns, tz=UTC]
splits:
- name: train
num_bytes: 1295730
num_examples... |
sibozhu/paddington_cn | 2023-10-04T16:34:25.000Z | [
"region:us"
] | sibozhu | null | null | null | 0 | 70 | Entry not found |
EduardoPacheco/dalle-3-LAION-discord | 2023-10-11T00:05:22.000Z | [
"license:apache-2.0",
"region:us"
] | EduardoPacheco | null | null | null | 0 | 70 | ---
license: apache-2.0
dataset_info:
features:
- name: caption
dtype: string
- name: link
dtype: string
- name: message_id
dtype: string
- name: timestamp
dtype: string
splits:
- name: train
num_bytes: 710519.0
num_examples: 1558
download_size: 365120
dataset_size: 710519.0
co... |
jeopardy | 2023-04-05T10:07:53.000Z | [
"language:en",
"region:us"
] | null | Dataset containing 216,930 Jeopardy questions, answers and other data.
The json file is an unordered list of questions where each question has
'category' : the question category, e.g. "HISTORY"
'value' : integer $ value of the question as string, e.g. "200"
Note: This is "None" for Final Jeopardy! and Tiebreaker quest... | null | 4 | 69 | ---
language:
- en
paperswithcode_id: null
pretty_name: jeopardy
dataset_info:
features:
- name: category
dtype: string
- name: air_date
dtype: string
- name: question
dtype: string
- name: value
dtype: int32
- name: answer
dtype: string
- name: round
dtype: string
- name: show_n... | |
offenseval_dravidian | 2023-06-01T14:59:49.000Z | [
"task_categories:text-classification",
"annotations_creators:expert-generated",
"language_creators:crowdsourced",
"multilinguality:multilingual",
"size_categories:10K<n<100K",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"language:kn",
"language:ml",
"language:ta",
"l... | null | Offensive language identification in dravidian lanaguages dataset. The goal of this task is to identify offensive language content of the code-mixed dataset of comments/posts in Dravidian Languages ( (Tamil-English, Malayalam-English, and Kannada-English)) collected from social media. | @inproceedings{dravidianoffensive-eacl,
title={Findings of the Shared Task on {O}ffensive {L}anguage {I}dentification in {T}amil, {M}alayalam, and {K}annada},
author={Chakravarthi, Bharathi Raja and
Priyadharshini, Ruba and
Jose, Navya and
M, Anand Kumar and
Mandl, Thomas and
Kumaresan, Prasanna Kumar and
Ponnsamy, Rah... | null | 2 | 69 | ---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- en
- kn
- ml
- ta
license:
- cc-by-4.0
multilinguality:
- multilingual
size_categories:
- 10K<n<100K
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids: []
pretty_name: Offenseval Dravidian
tag... |
xed_en_fi | 2023-06-01T14:59:50.000Z | [
"task_categories:text-classification",
"task_ids:intent-classification",
"task_ids:multi-class-classification",
"task_ids:multi-label-classification",
"task_ids:sentiment-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:multilingual",
"size_catego... | null | A multilingual fine-grained emotion dataset. The dataset consists of human annotated Finnish (25k) and English sentences (30k). Plutchik’s
core emotions are used to annotate the dataset with the addition of neutral to create a multilabel multiclass
dataset. The dataset is carefully evaluated using language-specific BER... | @inproceedings{ohman2020xed,
title={XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection},
author={{\"O}hman, Emily and P{\"a}mies, Marc and Kajava, Kaisla and Tiedemann, J{\"o}rg},
booktitle={The 28th International Conference on Computational Linguistics (COLING 2020)},
year={2020}
} | null | 6 | 69 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- en
- fi
license:
- cc-by-4.0
multilinguality:
- multilingual
size_categories:
- 10K<n<100K
- 1K<n<10K
source_datasets:
- extended|other-OpenSubtitles2016
task_categories:
- text-classification
task_ids:
- intent-classification
- multi-c... |
GEM/conversational_weather | 2022-10-24T15:30:13.000Z | [
"task_categories:table-to-text",
"annotations_creators:none",
"language_creators:unknown",
"multilinguality:unknown",
"size_categories:unknown",
"source_datasets:original",
"language:en",
"license:cc-by-nc-4.0",
"data-to-text",
"region:us"
] | GEM | The Conversational Weather dataset is designed for generation of responses to weather queries based on a structured input data. The input allows specifying data attributes such as dates, times, locations, weather conditions, and errors, and also offers control over structure of response through discourse relations such... | @inproceedings{balakrishnan-etal-2019-constrained,
title = "Constrained Decoding for Neural {NLG} from Compositional Representations in Task-Oriented Dialogue",
author = "Balakrishnan, Anusha and
Rao, Jinfeng and
Upasani, Kartikeya and
White, Michael and
Subba, Rajen",
booktitle = "Proceedings... | null | 1 | 69 | ---
annotations_creators:
- none
language_creators:
- unknown
language:
- en
license:
- cc-by-nc-4.0
multilinguality:
- unknown
size_categories:
- unknown
source_datasets:
- original
task_categories:
- table-to-text
task_ids: []
pretty_name: conversational_weather
tags:
- data-to-text
---
# Dataset Card for GEM/conver... |
gabtan99/pex-conversations | 2022-10-20T19:34:29.000Z | [
"task_ids:dialogue-modeling",
"task_ids:language-modeling",
"multilinguality:multilingual",
"size_categories:unknown",
"source_datasets:original",
"language:tl",
"language:fil",
"license:unknown",
"multi-turn",
"region:us"
] | gabtan99 | null | null | null | 1 | 69 | ---
language:
- tl
- fil
license:
- unknown
multilinguality:
- multilingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- sequence-modeling
task_ids:
- dialogue-modeling
- language-modeling
pretty_name: PEx Conversations
tags:
- multi-turn
---
# PinoyExchange (PEx) Conversations Dataset
# ... |
patriziobellan/PET | 2023-07-05T14:03:24.000Z | [
"task_categories:token-classification",
"size_categories:n<1K",
"language:en",
"license:mit",
"Business Process Management",
"NLP",
"ML",
"DL",
"arxiv:2203.04860",
"region:us"
] | patriziobellan | Abstract. Although there is a long tradition of work in NLP on extracting entities and relations from text, to date there exists little work on the acquisition of business processes from unstructured data such as textual corpora of process descriptions. With this work we aim at filling this gap and establishing the fir... | @inproceedings{DBLP:conf/bpm/BellanADGP22,
author = {Patrizio Bellan and
Han van der Aa and
Mauro Dragoni and
Chiara Ghidini and
Simone Paolo Ponzetto},
editor = {Cristina Cabanillas and
Niels Frederik Garmann{-}Jo... | null | 5 | 69 | ---
license: mit
task_categories:
- token-classification
language:
- en
tags:
- Business Process Management
- NLP
- ML
- DL
pretty_name: PET
size_categories:
- n<1K
---
# PET: A NEW DATASET FOR PROCESS EXTRACTION FROM TEXT
# Dataset Card for PET
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Datas... |
ChristophSchuhmann/improved_aesthetics_6.25plus | 2022-08-10T11:33:42.000Z | [
"region:us"
] | ChristophSchuhmann | null | null | null | 7 | 69 | Entry not found |
Muennighoff/P3 | 2022-11-03T15:15:39.000Z | [
"task_categories:other",
"annotations_creators:crowdsourced",
"annotations_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:100M<n<1B",
"language:en",
"license:apache-2.0",
"region:us"
] | Muennighoff | null | null | null | 10 | 69 | ---
annotations_creators:
- crowdsourced
- expert-generated
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: P3
size_categories:
- 100M<n<1B
task_categories:
- other
---
This is a repreprocessed version of [P3](https://huggingface.co/datasets/bigscience/P3) with any updates that have bee... |
malteos/germeval2017 | 2022-11-30T13:49:08.000Z | [
"language:de",
"region:us"
] | malteos | null | null | null | 0 | 69 | ---
language:
- de
---
# Germeval Task 2017: Shared Task on Aspect-based Sentiment in Social Media Customer Feedback
In the connected, modern world, customer feedback is a valuable source for insights on the quality of products or services. This feedback allows other customers to benefit from the experiences of other... |
keremberke/satellite-building-segmentation | 2023-01-18T09:41:34.000Z | [
"task_categories:image-segmentation",
"roboflow",
"roboflow2huggingface",
"Aerial",
"Logistics",
"Construction",
"Damage Risk",
"Other",
"region:us"
] | keremberke | null | @misc{ buildings-instance-segmentation_dataset,
title = { Buildings Instance Segmentation Dataset },
type = { Open Source Dataset },
author = { Roboflow Universe Projects },
howpublished = { \\url{ https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation } },
url = { ... | null | 5 | 69 | ---
task_categories:
- image-segmentation
tags:
- roboflow
- roboflow2huggingface
- Aerial
- Logistics
- Construction
- Damage Risk
- Other
---
<div align="center">
<img width="640" alt="keremberke/satellite-building-segmentation" src="https://huggingface.co/datasets/keremberke/satellite-building-segmentation/resolv... |
animelover/genshin-impact-images | 2023-07-13T05:49:11.000Z | [
"region:us"
] | animelover | null | null | null | 15 | 69 | Entry not found |
AbderrahmanSkiredj1/arabml_darija_english_parallel_dataset | 2023-03-19T15:06:36.000Z | [
"region:us"
] | AbderrahmanSkiredj1 | null | null | null | 1 | 69 | Entry not found |
mstz/speeddating | 2023-04-07T14:54:21.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"language:en",
"speeddating",
"tabular_classification",
"binary_classification",
"region:us"
] | mstz | null | null | null | 0 | 69 | ---
language:
- en
tags:
- speeddating
- tabular_classification
- binary_classification
pretty_name: Speed dating
size_categories:
- 1K<n<10K
task_categories: # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
- tabular-classification
configs:
- dating
---
# Speed dating
Th... |
Ali-fb/martin_valen_dataset | 2023-03-29T05:15:50.000Z | [
"region:us"
] | Ali-fb | null | null | null | 0 | 69 | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 82775.0
num_examples: 10
download_size: 82229
dataset_size: 82775.0
---
# Dataset Card for "martin_valen_dataset"
[More Information needed](https://github.com/huggingface/dat... |
mstz/toxicity | 2023-04-16T18:03:37.000Z | [
"task_categories:tabular-classification",
"size_categories:n<1K",
"language:en",
"license:cc",
"toxicity",
"tabular_classification",
"binary_classification",
"multiclass_classification",
"UCI",
"region:us"
] | mstz | null | null | null | 0 | 69 | ---
language:
- en
tags:
- toxicity
- tabular_classification
- binary_classification
- multiclass_classification
- UCI
pretty_name: Toxicity
size_categories:
- n<1K
task_categories:
- tabular-classification
configs:
- encoding
- income
- income-no race
- race
license: cc
---
# Adult
The [Toxicity dataset](https://archi... |
mstz/ozone | 2023-04-16T17:57:24.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"language:en",
"license:cc",
"ozone",
"tabular_classification",
"binary_classification",
"region:us"
] | mstz | null | @misc{misc_ozone_level_detection_172,
author = {Zhang,Kun, Fan,Wei & Yuan,XiaoJing},
title = {{Ozone Level Detection}},
year = {2008},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5NG6W}}
} | null | 0 | 69 | ---
language:
- en
tags:
- ozone
- tabular_classification
- binary_classification
pretty_name: Ozone
size_categories:
- 1K<n<10K
task_categories:
- tabular-classification
configs:
- 8hr
- 1hr
license: cc
---
# Ozone
The [Ozone dataset](https://archive.ics.uci.edu/ml/datasets/Ozone) from the [UCI ML repository](https://... |
mstz/pol | 2023-04-16T17:58:01.000Z | [
"task_categories:tabular-classification",
"size_categories:10k<n<100K",
"language:en",
"license:cc",
"pol",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | null | null | 0 | 69 | ---
language:
- en
tags:
- pol
- tabular_classification
- binary_classification
- UCI
pretty_name: Pol
size_categories:
- 10k<n<100K
task_categories:
- tabular-classification
configs:
- pol
license: cc
---
# Pol
The [Pol dataset](https://www.openml.org/search?type=data&sort=runs&id=151&status=active) from the [OpenML r... |
ruanchaves/rerelem | 2023-04-14T11:01:24.000Z | [
"task_categories:text-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:extended|harem",
"language:pt",
"relation extraction,",
"region:us"
] | ruanchaves | null | 2 | 69 | ---
annotations_creators:
- expert-generated
language:
- pt
language_creators:
- found
license: []
multilinguality:
- monolingual
pretty_name: ReRelEM
size_categories:
- 1K<n<10K
source_datasets:
- extended|harem
tags:
- relation extraction,
task_categories:
- text-classification
task_ids: []
---
# Dataset Card for Re... | ||
TrainingDataPro/anti-spoofing_replay | 2023-09-14T16:49:15.000Z | [
"task_categories:video-classification",
"language:en",
"license:cc-by-nc-nd-4.0",
"finance",
"legal",
"code",
"region:us"
] | TrainingDataPro | The dataset consists of 40,000 videos and selfies with unique people. 15,000
attack replays from 4,000 unique devices. 10,000 attacks with A4 printouts and
10,000 attacks with cut-out printouts. | @InProceedings{huggingface:dataset,
title = {anti-spoofing_replay},
author = {TrainingDataPro},
year = {2023}
} | null | 1 | 69 | ---
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
language:
- en
tags:
- finance
- legal
- code
dataset_info:
features:
- name: live_video_id
dtype: string
- name: phone
dtype: string
- name: video_file
dtype: string
- name: phone_video_playback
dtype: string
- name: worke... |
clarin-knext/quora-pl | 2023-06-07T08:16:00.000Z | [
"language:pl",
"arxiv:2305.19840",
"region:us"
] | clarin-knext | null | null | null | 0 | 69 | ---
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 |
jed351/Traditional-Chinese-Common-Crawl-Filtered | 2023-07-20T23:09:09.000Z | [
"language:zh",
"region:us"
] | jed351 | null | null | null | 3 | 69 | ---
language:
- zh
---
# Traditional Chinese C4
### Dataset Summary
Data obtained from 2023-14 Common Crawl.
Downloaded and processed using [code](https://github.com/jedcheng/c4-dataset-script) based on another [project](https://github.com/shjwudp/c4-dataset-script) attempting to recreate the C4 dataset.
The re... |
dim/lima | 2023-08-20T18:14:11.000Z | [
"license:mit",
"region:us"
] | dim | null | null | null | 0 | 69 | ---
license: mit
dataset_info:
features:
- name: conversations
sequence: string
- name: source
dtype: string
splits:
- name: train
num_bytes: 2906937
num_examples: 1030
download_size: 1677611
dataset_size: 2906937
---
|
yzhuang/autotree_automl_100000_house_16H_sgosdt_l256_dim10_d3_sd0 | 2023-09-08T09:07:23.000Z | [
"region:us"
] | yzhuang | null | null | null | 0 | 69 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: input_x
sequence:
sequence: float32
- name: input_y
sequence:
sequence: float32
- name: input_y_clean
sequence:
sequence: float32
- name: rtg
sequence: float64
- name: status
sequence:
sequence: flo... |
mychen76/ds_receipts_v2_train | 2023-09-20T21:38:03.000Z | [
"region:us"
] | mychen76 | null | null | null | 0 | 69 | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 102670815.483
num_examples: 1137
download_size: 102731891
dataset_size: 102670815.483
---
# Dataset Card for "ds_receipts_v2_train"
[More Information needed](https://github.c... |
sarahpann/gsm8k_small_test | 2023-09-23T20:21:36.000Z | [
"region:us"
] | sarahpann | null | null | null | 0 | 69 | ---
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
dataset_info:
features:
- name: prompt
dtype: string
- name: answer
dtype: string
splits:
- name: test
num_bytes: 109109
num_examples: 200
download_size: 64934
dataset_size: 109109
---
# Dataset Card fo... |
insub/imdb_prefix15_POSITIVE_DPO_gpt2-large-imdb-FT_siebert_sentiment-roberta-large-english | 2023-10-02T08:11:16.000Z | [
"region:us"
] | insub | null | null | null | 0 | 69 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: x
dtype: string
- name: y_w
dtype: string
- name: y_l
dtype: string
splits:
- name: train
num_bytes: 7443134
num_examples: 12500... |
ar_res_reviews | 2023-01-25T14:26:30.000Z | [
"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:ar",
"license:unknown",
"region:us"
] | null | Dataset of 8364 restaurant reviews scrapped from qaym.com in Arabic for sentiment analysis | @InProceedings{10.1007/978-3-319-18117-2_2,
author="ElSahar, Hady
and El-Beltagy, Samhaa R.",
editor="Gelbukh, Alexander",
title="Building Large Arabic Multi-domain Resources for Sentiment Analysis",
booktitle="Computational Linguistics and Intelligent Text Processing",
year="2015",
publisher="Springer International Pu... | null | 3 | 68 | ---
annotations_creators:
- found
language_creators:
- found
language:
- ar
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
pretty_name: ArRestReviews
dataset_info:
features:
- name:... |
squad_v1_pt | 2023-04-05T13:40:41.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"task_ids:open-domain-qa",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:pt",
"license:mit",
"arxiv:1606.052... | null | Portuguese translation of the SQuAD dataset. The translation was performed automatically using the Google Cloud API. | @article{2016arXiv160605250R,
author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
Konstantin and {Liang}, Percy},
title = "{SQuAD: 100,000+ Questions for Machine Comprehension of Text}",
journal = {arXiv e-prints},
year = 2016,
eid = {arXiv:1606.05250}... | null | 4 | 68 | ---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- pt
license:
- mit
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- extractive-qa
- open-domain-qa
paperswithcode_id: null
pretty_name: SquadV1P... |
TristanBehrens/js-fakes-4bars | 2022-01-03T15:53:23.000Z | [
"region:us"
] | TristanBehrens | null | null | null | 9 | 68 | # JSFakes (Dr. Tristan Behrens).
This is a tokenized version of the JS-Fakes dataset by Omar Peracha. The original dataset can be found here:
[js-fakes.git](https://github.com/omarperacha/js-fakes.git)
The representation is four tracks with four bars per track.
## Purpose.
This dataset is a good starting point for ... |
eugenesiow/Set5 | 2022-10-21T03:59:16.000Z | [
"task_categories:other",
"annotations_creators:machine-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:original",
"license:other",
"other-image-super-resolution",
"region:us"
] | eugenesiow | Set5 is a evaluation dataset with 5 RGB images for the image super resolution task. | @article{bevilacqua2012low,
title={Low-complexity single-image super-resolution based on nonnegative neighbor embedding},
author={Bevilacqua, Marco and Roumy, Aline and Guillemot, Christine and Alberi-Morel, Marie Line},
year={2012},
publisher={BMVA press}
} | null | 0 | 68 | ---
annotations_creators:
- machine-generated
language_creators:
- found
language: []
license:
- other
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- original
task_categories:
- other
task_ids: []
pretty_name: Set5
tags:
- other-image-super-resolution
---
# Dataset Card for Set5
## Table... |
tne | 2023-01-25T15:04:06.000Z | [
"task_categories:text-retrieval",
"task_ids:document-retrieval",
"annotations_creators:crowdsourced",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"source_datasets:original",
"language:en",
"license:mit",
"arxiv:2109.12085",
"region:us"
] | null | TNE is an NLU task, which focus on relations between noun phrases (NPs) that can be mediated via prepositions.
The dataset contains 5,497 documents, annotated exhaustively with all possible links between the NPs in each document. | @article{tne,
author = {Elazar, Yanai and Basmov, Victoria and Goldberg, Yoav and Tsarfaty, Reut},
title = "{Text-based NP Enrichment}",
journal = {Transactions of the Association for Computational Linguistics},
year = {2022},
} | null | 0 | 68 | ---
annotations_creators:
- crowdsourced
language_creators:
- found
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-retrieval
task_ids:
- document-retrieval
pretty_name: Text-based NP Enrichment
dataset_info:
features:
- na... |
ashraq/hotel-reviews | 2022-10-27T17:24:29.000Z | [
"region:us"
] | ashraq | null | null | null | 1 | 68 | ---
dataset_info:
features:
- name: review_date
dtype: string
- name: hotel_name
dtype: string
- name: review
dtype: string
splits:
- name: train
num_bytes: 15043294
num_examples: 93757
download_size: 6100544
dataset_size: 15043294
---
# Dataset Card for "hotel-reviews"
[More Inform... |
range3/cc100-ja | 2023-02-04T05:43:32.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"language:ja",
"license:unknown",
"region:us"
] | range3 | null | null | null | 6 | 68 | ---
license: unknown
task_categories:
- text-generation
- fill-mask
language:
- ja
---
# range3/cc100-ja
This dataset consists of parquet files from the cc100 dataset with only the Japanese language extracted and sharded.
このデータセットは、cc100データセットの日本語のみを抽出し、シャーディングしたparquetファイルで構成されます。 |
johnrobinsn/alpaca-cleaned | 2023-03-30T08:42:40.000Z | [
"region:us"
] | johnrobinsn | null | null | null | 0 | 68 | Entry not found |
mstz/phoneme | 2023-04-11T00:14:47.000Z | [
"task_categories:tabular-classification",
"size_categories:10k<n<100K",
"language:en",
"phoneme",
"tabular_classification",
"binary_classification",
"region:us"
] | mstz | null | null | null | 0 | 68 | ---
language:
- en
tags:
- phoneme
- tabular_classification
- binary_classification
pretty_name: Phoneme
size_categories:
- 10k<n<100K
task_categories: # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
- tabular-classification
configs:
- phoneme
---
# Phoneme
The [Phoneme ... |
mstz/ipums | 2023-04-17T09:54:47.000Z | [
"task_categories:tabular-classification",
"language:en",
"ipums",
"tabular_classification",
"binary_classification",
"UCI",
"region:us"
] | mstz | null | @misc{misc_ipums_census_database_127,
author = {Ruggles,Steven & Sobek,Matthew},
title = {{IPUMS Census Database}},
year = {1999},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C5BG63}}
} | null | 0 | 68 | ---
language:
- en
tags:
- ipums
- tabular_classification
- binary_classification
- UCI
pretty_name: Ipums
task_categories: # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
- tabular-classification
configs:
- ipums
---
# Ipums
The [Ipums dataset](https://archive-beta.ics.... |
mstz/hypo | 2023-05-24T12:27:51.000Z | [
"task_categories:tabular-classification",
"language:en",
"hypo",
"tabular_classification",
"binary_classification",
"region:us"
] | mstz | null | null | null | 0 | 68 | ---
language:
- en
tags:
- hypo
- tabular_classification
- binary_classification
pretty_name: Hypo
task_categories: # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
- tabular-classification
configs:
- hypo
---
# Hypo
The Hypo dataset.
# Configurations and tasks
| **Conf... |
yulanfmy/databricks-qa-ja | 2023-05-15T14:55:06.000Z | [
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:ja",
"license:cc-by-sa-3.0",
"region:us"
] | yulanfmy | null | null | null | 2 | 68 | ---
license: cc-by-sa-3.0
task_categories:
- question-answering
language:
- ja
size_categories:
- 1K<n<10K
---
# データセット概要
手動で作成したDatabricksに関する質問と回答ペアの日本語データセットです。
- 件数:約1,300件
- 情報源:Databricks HPの日本語ブログやFAQなど、データブリック社員がポストしたQitta記事
https://github.com/yulan-yan/build-your-chat-bot-JP デモに利用したデータです。 |
richardr1126/spider-context-validation | 2023-10-03T20:53:20.000Z | [
"source_datasets:spider",
"language:en",
"license:cc-by-4.0",
"text-to-sql",
"SQL",
"spider",
"validation",
"eval",
"spider-eval",
"region:us"
] | richardr1126 | null | null | null | 0 | 68 | ---
language:
- en
license:
- cc-by-4.0
source_datasets:
- spider
pretty_name: Spider Context Validation
tags:
- text-to-sql
- SQL
- spider
- validation
- eval
- spider-eval
dataset_info:
features:
- name: db_id
dtype: string
- name: question
dtype: string
- name: db_info
dtype: string
... |
keirp/open-web-math-dev | 2023-07-18T17:43:41.000Z | [
"language:en",
"region:us"
] | keirp | null | null | null | 1 | 68 | ---
language: en
dataset_info:
features:
- name: url
dtype: string
- name: text
dtype: string
- name: metadata
dtype: string
splits:
- name: train
num_bytes: 46793390925
num_examples: 2948527
download_size: 23882813026
dataset_size: 46793390925
---
# Dataset Card for "open-web-math-d... |
lamini/bts | 2023-07-24T03:50:41.000Z | [
"region:us"
] | lamini | null | null | null | 1 | 68 | ---
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: labels
sequence: int64
splits:
- name: train
num_bytes: 129862.8
num_examples: 126
- name: test
num_by... |
svjack/cmmlu_ed | 2023-07-24T06:56:54.000Z | [
"task_categories:multiple-choice",
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:zh",
"license:cc-by-nc-4.0",
"chinese",
"llm",
"evaluation",
"arxiv:2306.09212",
"region:us"
] | svjack | CMMLU is a comprehensive Chinese assessment suite specifically designed to evaluate the advanced knowledge and reasoning abilities of LLMs within the Chinese language and cultural context. | @misc{li2023cmmlu,
title={CMMLU: Measuring massive multitask language understanding in Chinese},
author={Haonan Li and Yixuan Zhang and Fajri Koto and Yifei Yang and Hai Zhao and Yeyun Gong and Nan Duan and Timothy Baldwin},
year={2023},
eprint={2306.09212},
archivePrefix={arXiv},
pr... | null | 0 | 68 | ---
license: cc-by-nc-4.0
task_categories:
- multiple-choice
- question-answering
language:
- zh
tags:
- chinese
- llm
- evaluation
pretty_name: CMMLU
size_categories:
- 10K<n<100K
---
# CMMLU: Measuring massive multitask language understanding in Chinese
- **Homepage:** [https://github.com/haonan-li/CMMLU](https://g... |
C-MTEB/Mmarco-reranking | 2023-07-28T07:25:10.000Z | [
"region:us"
] | C-MTEB | null | null | null | 0 | 68 | ---
configs:
- config_name: default
data_files:
- split: dev
path: data/dev-*
dataset_info:
features:
- name: query
dtype: string
- name: positive
sequence: string
- name: negative
sequence: string
splits:
- name: dev
num_bytes: 32794704
num_examples: 100
download_size: 1740151... |
izumi-lab/wikipedia-en-20230720 | 2023-07-29T03:06:05.000Z | [
"language:en",
"license:cc-by-sa-3.0",
"region:us"
] | izumi-lab | null | null | null | 4 | 68 | ---
dataset_info:
features:
- name: curid
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 16118978135
num_examples: 6650632
download_size: 9566993111
dataset_size: 16118978135
license: cc-by-sa-3.0
language:
- en
---
# Dataset Car... |
Daoguang/CodeM-Multilinugal-Data | 2023-09-01T02:33:32.000Z | [
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"arxiv:2308.16824",
"region:us"
] | Daoguang | null | null | null | 3 | 68 | ---
license: apache-2.0
configs:
- config_name: default
data_files:
- split: Python
path: "python.json"
- split: JavaScript
path: "js.json"
- split: TypeScript
path: "ts.json"
- split: C
path: "c.json"
- split: Cpp
path: "cpp.json"
- split: Java
path: "java.json"
- split: Go
... |
richardr1126/spider-context-validation-ranked-schema | 2023-09-07T22:12:48.000Z | [
"source_datasets:spider",
"language:en",
"license:cc-by-4.0",
"text-to-sql",
"SQL",
"spider",
"validation",
"eval",
"spider-eval",
"region:us"
] | richardr1126 | null | null | null | 0 | 68 | ---
language:
- en
license:
- cc-by-4.0
source_datasets:
- spider
pretty_name: Spider Context Validation Schema Ranked
tags:
- text-to-sql
- SQL
- spider
- validation
- eval
- spider-eval
dataset_info:
features:
- name: index
dtype: int32
- name: db_id
dtype: string
- name: question
dtyp... |
manu/french_podcasts | 2023-09-20T13:57:01.000Z | [
"region:us"
] | manu | null | null | null | 0 | 68 | ---
dataset_info:
features:
- name: programme_id
dtype: string
- name: programme_entry_date
dtype: string
- name: programme_rss_link
dtype: string
- name: podcast_title
dtype: string
- name: podcast_date
dtype: string
- name: podcast_duration
dtype: string
- name: audio_podcast_l... |
SebastianMoncaleano/cammel_trainning_v3 | 2023-10-01T18:30:54.000Z | [
"region:us"
] | SebastianMoncaleano | null | null | null | 0 | 68 | Entry not found |
muchocine | 2023-01-25T14:40:54.000Z | [
"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:es",
"license:unknown",
"region:us"
] | null | The Muchocine reviews dataset contains 3,872 longform movie reviews in Spanish language,
each with a shorter summary review, and a rating on a 1-5 scale. | null | null | 4 | 67 | ---
annotations_creators:
- found
language_creators:
- found
language:
- es
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
pretty_name: Muchocine
dataset_info:
features:
- name: rev... |
DDSC/lcc | 2023-07-20T19:43:29.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:da",
"license:cc-by-4.0",
"region:us"
] | DDSC | null | null | null | 3 | 67 | ---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- da
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: TwitterSent
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
---
# Dataset Card for LCC
... |
anjandash/java-8m-methods-v2 | 2022-07-01T20:31:57.000Z | [
"multilinguality:monolingual",
"language:java",
"license:mit",
"region:us"
] | anjandash | null | null | null | 0 | 67 | ---
language:
- java
license:
- mit
multilinguality:
- monolingual
pretty_name:
- java-8m-methods-v2
--- |
ScandEval/scala-sv | 2023-07-05T09:49:04.000Z | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:sv",
"license:cc-by-sa-4.0",
"region:us"
] | ScandEval | null | null | null | 0 | 67 | ---
license: cc-by-sa-4.0
task_categories:
- text-classification
language:
- sv
size_categories:
- 1K<n<10K
--- |
jahjinx/IMDb_movie_reviews | 2023-01-08T15:47:19.000Z | [
"task_categories:text-classification",
"task_ids:sentiment-classification",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:en",
"license:other",
"region:us"
] | jahjinx | null | null | null | 0 | 67 | ---
pretty_name: IMDb
task_categories:
- text-classification
task_ids:
- sentiment-classification
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
---
# Dataset Card for IMDb Movie Reviews
## Dataset Description
- **Homepage:** [http://ai.stanford.edu/~amaas/data/sentiment/... |
HuggingFaceGECLM/REDDIT_comments | 2023-03-17T07:52:51.000Z | [
"task_categories:text-generation",
"task_ids:dialogue-modeling",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10B<n<100B",
"language:en",
"reddit",
"social-media",
"arxiv:2001.08435",
"region:us"
... | HuggingFaceGECLM | null | null | null | 3 | 67 | ---
dataset_info:
features:
- name: archived
dtype: string
- name: author
dtype: string
- name: author_fullname
dtype: string
- name: body
dtype: string
- name: comment_type
dtype: string
- name: controversiality
dtype: string
- name: created_utc
dtype: string
- name: edite... |
NbAiLab/norwegian-alpaca | 2023-07-25T15:05:00.000Z | [
"task_categories:text-generation",
"language:no",
"language:nb",
"license:cc-by-4.0",
"instruction-finetuning",
"region:us"
] | NbAiLab | null | null | null | 7 | 67 | ---
license: cc-by-4.0
language:
- 'no'
- nb
tags:
- instruction-finetuning
pretty_name: NB Alpaca Norwegian Bokmål
task_categories:
- text-generation
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: instruction_en
dtype... |
YuanPJ/summ_screen | 2023-03-29T04:51:45.000Z | [
"region:us"
] | YuanPJ | SummScreen Corpus contains over 26k pairs of TV series transcripts and human written recaps.
There are two features:
- dialogue: text of dialogue.
- summary: human written summary of the dialogue.
- id: id of a example. | @inproceedings{chen-etal-2022-summscreen,
title = "{S}umm{S}creen: A Dataset for Abstractive Screenplay Summarization",
author = "Chen, Mingda and
Chu, Zewei and
Wiseman, Sam and
Gimpel, Kevin",
booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Lin... | null | 0 | 67 | Entry not found |
BelleGroup/train_1M_CN | 2023-04-03T08:23:17.000Z | [
"task_categories:text2text-generation",
"size_categories:100K<n<1M",
"language:zh",
"license:gpl-3.0",
"region:us"
] | BelleGroup | null | null | null | 104 | 67 | ---
license: gpl-3.0
task_categories:
- text2text-generation
language:
- zh
size_categories:
- 100K<n<1M
---
## 内容
包含约100万条由[BELLE](https://github.com/LianjiaTech/BELLE)项目生成的中文指令数据。
## 样例
```
{
"instruction": "给定一个文字输入,将其中的所有数字加1。\n“明天的会议在9点开始,记得准时到达。”\n",
"input": "",
"output": "“明天的会议在10点开始,记得准时到达。”"
}
```
##... |
metaeval/race-c | 2023-05-31T08:39:38.000Z | [
"task_categories:question-answering",
"task_categories:multiple-choice",
"language:en",
"region:us"
] | metaeval | null | null | null | 0 | 67 | ---
task_categories:
- question-answering
- multiple-choice
language:
- en
---
Race-C : additional data for race (high school/middle school) but for college level
https://github.com/mrcdata/race-c
```bib
@InProceedings{pmlr-v101-liang19a,
title={A New Multi-choice Reading Comprehension Dataset for Curriculum Learning... |
mstz/twonorm | 2023-04-07T14:58:58.000Z | [
"task_categories:tabular-classification",
"size_categories:1K<n<10K",
"language:en",
"twonorm",
"tabular_classification",
"binary_classification",
"region:us"
] | mstz | null | null | null | 0 | 67 | ---
language:
- en
tags:
- twonorm
- tabular_classification
- binary_classification
pretty_name: Two Norm
size_categories:
- 1K<n<10K
task_categories: # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
- tabular-classification
configs:
- 8hr
- 1hr
---
# TwoNorm
The [TwoNorm... |
distil-whisper/peoples_speech-clean | 2023-09-25T10:30:13.000Z | [
"task_categories:automatic-speech-recognition",
"language:en",
"license:cc-by-4.0",
"region:us"
] | distil-whisper | The People's Speech is a free-to-download 30,000-hour and growing supervised
conversational English speech recognition dataset licensed for academic and
commercial usage under CC-BY-SA (with a CC-BY subset). | @article{DBLP:journals/corr/abs-2111-09344,
author = {Daniel Galvez and
Greg Diamos and
Juan Ciro and
Juan Felipe Ceron and
Keith Achorn and
Anjali Gopi and
David Kanter and
Maximilian Lam and
Ma... | null | 0 | 67 | ---
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
language:
- en
-pretty_name: People's Speech Clean
---
# Distil Whisper: People's Speech Clean
This is a variant of the [People's Speech Clean](https://huggingface.co/datasets/MLCommons/peoples_speech) dataset, augmented to return the pseudo-labe... |
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