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chargoddard/chai-dpo | 2023-10-16T23:54:37.000Z | [
"region:us"
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Phaedrus/CSAW_combined_264 | 2023-10-17T09:30:27.000Z | [
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anlp/annotation1_wo_elimination | 2023-10-26T02:22:56.000Z | [
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ostapeno/qa-openai_batched_icl0_clen512_maxD-1_maxC2500_0_cleaned | 2023-10-26T18:47:50.000Z | [
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gdurkin/flood_dataset | 2023-11-01T13:43:12.000Z | [
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projecte-aina/WikiCAT_ca | 2023-09-13T12:39:56.000Z | [
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# Wiki... | 3,624 | [
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sbx/superlim-2 | 2023-10-12T08:10:39.000Z | [
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foldl/rumeme-desc | 2023-01-18T19:31:38.000Z | [
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---
# Dataset Card for ruMeme Descriptions
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
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tarteel-ai/quran-tafsir | 2023-02-11T23:18:23.000Z | [
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sedthh/tv_dialogue | 2023-03-16T13:44:59.000Z | [
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Sharka/CIVQA_experiments_unknown | 2023-04-24T09:44:07.000Z | [
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tasksource/ruletaker | 2023-07-28T20:30:37.000Z | [
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MAPS-research/GEMRec-Roster | 2023-08-07T04:41:32.000Z | [
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ammarnasr/the-stack-swift-clean | 2023-08-14T21:20:23.000Z | [
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Juzzy88/science_dict_full | 2023-08-05T08:20:01.000Z | [
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yzhuang/autotree_automl_100000_house_16H_sgosdt_l256_dim10_d3_sd0 | 2023-09-08T09:07:23.000Z | [
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gary-roach/NLP | 2023-09-21T01:40:44.000Z | [
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legacy107/spamming-email-classification | 2023-10-02T09:39:55.000Z | [
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pedropauletti/librispeech-portuguese | 2023-10-02T21:22:08.000Z | [
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ricardosantoss/top_12_com_validacao | 2023-10-31T11:35:56.000Z | [
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texonom/texonom-md | 2023-10-29T18:47:20.000Z | [
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adams-story/diffusiondb-prompt-upscale | 2023-10-31T17:24:13.000Z | [
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0.013496398... |
bible-nlp/biblenlp-corpus | 2023-07-21T11:56:30.000Z | [
"task_categories:translation",
"annotations_creators:no-annotation",
"language_creators:expert-generated",
"multilinguality:translation",
"multilinguality:multilingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:aai",
"language:aak",
"language:aau",
"language:aaz",
"lan... | bible-nlp | null | @InProceedings{huggingface:dataset,
title = {A great new dataset},
author={huggingface, Inc.
},
year={2020}
} | 12 | 64 | 2022-04-07T03:04:02 | ---
annotations_creators:
- no-annotation
language_creators:
- expert-generated
language:
- aai
- aak
- aau
- aaz
- abt
- abx
- aby
- acf
- acr
- acu
- adz
- aer
- aey
- agd
- agg
- agm
- agn
- agr
- agt
- agu
- aia
- aii
- aka
- ake
- alp
- alq
- als
- aly
- ame
- amf
- amk
- amm
- amn
- amo
- amp
- amr
- amu
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- ... | 11,178 | [
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bigbio/biosses | 2022-12-22T15:32:58.000Z | [
"multilinguality:monolingual",
"language:en",
"license:gpl-3.0",
"region:us"
] | bigbio | BIOSSES computes similarity of biomedical sentences by utilizing WordNet as the
general domain ontology and UMLS as the biomedical domain specific ontology.
The original paper outlines the approaches with respect to using annotator
score as golden standard. Source view will return all annotator score
individually where... | @article{souganciouglu2017biosses,
title={BIOSSES: a semantic sentence similarity estimation system for the biomedical domain},
author={Soğancıoğlu, Gizem, Hakime Öztürk, and Arzucan Özgür},
journal={Bioinformatics},
volume={33},
number={14},
pages={i49--i58},
year={2017},
publisher={Oxford University P... | 1 | 64 | 2022-09-06T01:12:20 | ---
language:
- en
bigbio_language:
- English
license: gpl-3.0
multilinguality: monolingual
bigbio_license_shortname: GPL_3p0
pretty_name: BIOSSES
homepage: https://tabilab.cmpe.boun.edu.tr/BIOSSES/DataSet.html
bigbio_pubmed: false
bigbio_public: true
bigbio_tasks:
- SEMANTIC_SIMILARITY
---
# Dataset Card for BIOSSE... | 1,221 | [
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duyngtr16061999/fashion_text_to_image | 2022-11-21T05:54:22.000Z | [
"region:us"
] | duyngtr16061999 | null | null | 0 | 64 | 2022-10-29T08:50:41 | ---
annotations_creators:
- machine-generated
language:
- en
language_creators:
- other
multilinguality:
- monolingual
pretty_name: "Fashion captions"
size_categories:
- n<100K
tags: []
task_categories:
- text-to-image
task_ids: []
---
# Dataset Card for [Dataset Name]
## Table of Contents
- [Table... | 2,738 | [
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bigbio/chia | 2022-12-22T15:44:25.000Z | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"region:us"
] | bigbio | A large annotated corpus of patient eligibility criteria extracted from 1,000
interventional, Phase IV clinical trials registered in ClinicalTrials.gov. This
dataset includes 12,409 annotated eligibility criteria, represented by 41,487
distinctive entities of 15 entity types and 25,017 relationships of 12
relationship ... | @article{kury2020chia,
title = {Chia, a large annotated corpus of clinical trial eligibility criteria},
author = {
Kury, Fabr{\'\\i}cio and Butler, Alex and Yuan, Chi and Fu, Li-heng and
Sun, Yingcheng and Liu, Hao and Sim, Ida and Carini, Simona and Weng,
Chunhua
},
year = 2020... | 1 | 64 | 2022-11-13T22:07:53 |
---
language:
- en
bigbio_language:
- English
license: cc-by-4.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: CHIA
homepage: https://github.com/WengLab-InformaticsResearch/CHIA
bigbio_pubmed: False
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
- RELATION_EXTRACTION
--... | 1,333 | [
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bigbio/twadrl | 2022-12-22T15:47:15.000Z | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"region:us"
] | bigbio | The TwADR-L dataset contains medical concepts written on social media (Twitter) mapped to how they are formally written in medical ontologies (SIDER 4). \ | @inproceedings{limsopatham-collier-2016-normalising,
title = "Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation",
author = "Limsopatham, Nut and
Collier, Nigel",
booktitle = "Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (... | 0 | 64 | 2022-11-13T22:12:38 |
---
language:
- en
bigbio_language:
- English
license: cc-by-4.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: TwADR-L
homepage: https://zenodo.org/record/55013
bigbio_pubmed: False
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
- NAMED_ENTITY_DISAMBIGUATION
---
# Dat... | 1,253 | [
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badmatr11x/hate-offensive-speech | 2023-03-15T20:17:11.000Z | [
"task_categories:text-classification",
"task_ids:multi-label-classification",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"region:us"
] | badmatr11x | null | null | 1 | 64 | 2023-03-14T18:01:04 | ---
license: mit
language:
- en
size_categories:
- 10K<n<100K
source_dataset:
- original
task_categories:
- text-classification
task_ids:
- multi-label-classification
dataset_info:
features:
- name: label
dtype: int64
- name: tweet
dtype: string
splits:
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sid6i7/patient-doctor | 2023-03-30T20:02:27.000Z | [
"region:us"
] | sid6i7 | null | null | 3 | 64 | 2023-03-30T20:01:09 | Entry not found | 15 | [
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lighteval/LegalSupport | 2023-05-10T09:20:03.000Z | [
"region:us"
] | lighteval | null | null | 1 | 64 | 2023-05-10T09:19:30 | Entry not found | 15 | [
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Aoppenhiem/pushshift-reddit | 2023-06-01T21:58:47.000Z | [
"region:us"
] | Aoppenhiem | null | null | 0 | 64 | 2023-05-18T22:58:56 | Entry not found | 15 | [
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amlan107/xyz | 2023-08-22T14:33:38.000Z | [
"region:us"
] | amlan107 | null | null | 0 | 64 | 2023-05-19T12:08:49 | <!--
---
dataset_info:
features:
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dtype: string
- name: en
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- name: ck
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splits:
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num_bytes: 2482778
num_examples: 15021
- name: monolingual
num_bytes: 44194898
num_examples: 150000
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rubend18/ChatGPT-Jailbreak-Prompts | 2023-08-24T18:24:29.000Z | [
"task_categories:question-answering",
"task_categories:text-generation",
"task_categories:fill-mask",
"task_categories:zero-shot-classification",
"task_categories:table-question-answering",
"size_categories:n<1K",
"language:en",
"language:aa",
"ChatGPT",
"JailbreakPrompts",
"LanguageModeling",
... | rubend18 | null | null | 30 | 64 | 2023-05-25T21:04:52 | ---
task_categories:
- question-answering
- text-generation
- fill-mask
- zero-shot-classification
- table-question-answering
language:
- en
- aa
tags:
- ChatGPT
- JailbreakPrompts
- LanguageModeling
- ArtificialIntelligence
- TextGeneration
- Dataset
- OpenAI
- Jailbreak
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size_categories:
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pretty_name: ... | 823 | [
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lca0503/soxdata_encodec | 2023-05-28T23:28:32.000Z | [
"region:us"
] | lca0503 | null | null | 0 | 64 | 2023-05-28T22:56:03 | ---
dataset_info:
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argilla/comparison-data-falcon-with-feedback | 2023-06-07T14:38:44.000Z | [
"size_categories:1K<n<10K",
"rlfh",
"argilla",
"human-feedback",
"region:us"
] | argilla | null | null | 1 | 64 | 2023-06-07T13:54:15 | ---
size_categories: 1K<n<10K
tags:
- rlfh
- argilla
- human-feedback
---
# Dataset Card for comparison-data-falcon-with-feedback
This dataset has been created with [Argilla](https://docs.argilla.io).
As shown in the sections below, this dataset can be loaded into Argilla as explained in [Load with Argilla](#load-wi... | 12,731 | [
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LangChainDatasets/langchain-howto-queries | 2023-06-25T00:40:36.000Z | [
"region:us"
] | LangChainDatasets | null | null | 1 | 64 | 2023-06-25T00:40:35 | ---
dataset_info:
features:
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dtype: string
splits:
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num_bytes: 3419
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download_size: 2769
dataset_size: 3419
---
# Dataset Card for "langchain-howto-queries"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how... | 356 | [
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sordonia/facts-tpl2-text-davinci-003_clen128_maxD100_maxC-1 | 2023-10-14T17:54:56.000Z | [
"region:us"
] | sordonia | null | null | 0 | 64 | 2023-10-14T17:54:42 | ## model_name: text-davinci-003
## max_contexts_per_subject: -1
## max_documents_per_subject: 100
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shossain/merged-no-pad-16384 | 2023-10-17T21:14:29.000Z | [
"region:us"
] | shossain | null | null | 0 | 64 | 2023-10-16T00:46:28 | ---
dataset_info:
features:
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sequence: int32
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sequence: int8
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splits:
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num_bytes: 1873476987
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dataset_size: 1873476987
configs:
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SUSTech/prm800k-flatten | 2023-10-21T04:40:21.000Z | [
"region:us"
] | SUSTech | null | null | 0 | 64 | 2023-10-21T04:12:19 | ---
configs:
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data_files:
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path: data/train-*
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path: data/test-*
dataset_info:
features:
- name: history
sequence: string
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james-burton/vet_month_1d_ordinal | 2023-10-23T14:42:15.000Z | [
"region:us"
] | james-burton | null | null | 0 | 64 | 2023-10-23T14:42:11 | ---
configs:
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data_files:
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dataset_info:
features:
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- name: Ear_or_Mastoid
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RAy11mn/abbdataset | 2023-10-31T11:43:42.000Z | [
"region:us"
] | RAy11mn | null | null | 0 | 64 | 2023-10-26T13:56:58 | Entry not found | 15 | [
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atmallen/qm_alice_hard_4_1.0e_eval | 2023-10-31T19:47:44.000Z | [
"region:us"
] | atmallen | null | null | 0 | 64 | 2023-10-27T05:43:50 | ---
configs:
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data_files:
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dataset_info:
features:
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result-kand2-sdxl-wuerst-karlo/e0cc5f8f | 2023-10-31T22:47:06.000Z | [
"region:us"
] | result-kand2-sdxl-wuerst-karlo | null | null | 0 | 64 | 2023-10-31T22:47:04 | ---
dataset_info:
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configs:
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---
# Dataset Card for "e0cc5f8... | 455 | [
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flue | 2023-06-01T14:59:47.000Z | [
"task_categories:text-classification",
"task_ids:intent-classification",
"task_ids:semantic-similarity-classification",
"task_ids:sentiment-classification",
"annotations_creators:crowdsourced",
"annotations_creators:machine-generated",
"language_creators:crowdsourced",
"multilinguality:monolingual",
... | null | FLUE is an evaluation setup for French NLP systems similar to the popular GLUE benchmark. The goal is to enable further reproducible experiments in the future and to share models and progress on the French language. | @misc{le2019flaubert,
title={FlauBERT: Unsupervised Language Model Pre-training for French},
author={Hang Le and Loïc Vial and Jibril Frej and Vincent Segonne and Maximin Coavoux and Benjamin Lecouteux and Alexandre Allauzen and Benoît Crabbé and Laurent Besacier and Didier Schwab},
year={2019},
eprint=... | 5 | 63 | 2022-03-02T23:29:22 | ---
annotations_creators:
- crowdsourced
- machine-generated
language_creators:
- crowdsourced
language:
- fr
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- intent-classification
- semantic-similarity-classif... | 11,533 | [
[
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0.02561950... |
MLRS/korpus_malti | 2022-08-30T08:59:09.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"task_ids:language-modeling",
"task_ids:masked-language-modeling",
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10M<n<100M",
"source_datasets:original",
"language:mt"... | MLRS | General Corpora for the Maltese language. | @inproceedings{BERTu,
title = "Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and {BERT} Models for {M}altese",
author = "Micallef, Kurt and
Gatt, Albert and
Tanti, Marc and
van der Plas, Lonneke and
Borg, Claudia",
... | 0 | 63 | 2022-05-11T12:47:44 | ---
pretty_name: Korpus Malti
language:
- mt
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
annotations_creators:
- no-annotation
language_creators:
- found
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
license:
- cc-by-... | 3,519 | [
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... |
domenicrosati/TruthfulQA | 2022-07-01T15:41:54.000Z | [
"task_categories:question-answering",
"task_ids:extractive-qa",
"task_ids:open-domain-qa",
"task_ids:closed-domain-qa",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:n<1K",
"source_datasets:original",
"language:en",
... | domenicrosati | null | null | 4 | 63 | 2022-05-12T00:38:33 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: TruthfulQA
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- extractive-qa
- open-domain-qa
- closed-dom... | 3,085 | [
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RussianNLP/tape | 2023-07-14T19:31:49.000Z | [
"task_categories:text-classification",
"task_categories:question-answering",
"task_categories:multiple-choice",
"size_categories:1K<n<10K",
"language:ru",
"license:apache-2.0",
"benchmark",
"ethics",
"question-answering",
"reasoning",
"arxiv:2210.12813",
"region:us"
] | RussianNLP | The Winograd schema challenge composes tasks with syntactic ambiguity,
which can be resolved with logic and reasoning (Levesque et al., 2012).
The texts for the Winograd schema problem are obtained using a semi-automatic
pipeline. First, lists of 11 typical grammatical structures with syntactic
homonymy (mainly case... | @article{taktasheva2022tape,
title={TAPE: Assessing Few-shot Russian Language Understanding},
author={Taktasheva, Ekaterina and Shavrina, Tatiana and Fenogenova, Alena and Shevelev, Denis and Katricheva, Nadezhda and Tikhonova, Maria and Akhmetgareeva, Albina and Zinkevich, Oleg and Bashmakova, Anastasiia and Iorda... | 4 | 63 | 2022-10-12T14:30:27 | ---
license: apache-2.0
task_categories:
- text-classification
- question-answering
- multiple-choice
language:
- ru
tags:
- benchmark
- ethics
- question-answering
- reasoning
pretty_name: TAPE (Text Attack and Perturbation Evaluation)
size_categories:
- 1K<n<10K
---
## Dataset Description
TAPE (Text Attack and Per... | 47,370 | [
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-0.048370361328125,
-0.053680419921875,
-0.048858642578125,... |
wwydmanski/blog-feedback | 2023-02-25T16:03:19.000Z | [
"task_categories:tabular-regression",
"task_categories:tabular-classification",
"size_categories:10K<n<100K",
"tabular",
"region:us"
] | wwydmanski | null | null | 0 | 63 | 2023-02-25T15:57:14 | ---
task_categories:
- tabular-regression
- tabular-classification
tags:
- tabular
size_categories:
- 10K<n<100K
---
## Source
Source: [UCI](https://archive.ics.uci.edu/ml/datasets/BlogFeedback)
## Data Set Information:
This data originates from blog posts. The raw HTML-documents
of the blog posts were crawled and p... | 3,141 | [
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-0.04095458984375,
0.00999450683... |
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 | 106 | 63 | 2023-03-31T08:53:50 | ---
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。”"
}
```
##... | 507 | [
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nuprl/ts-training | 2023-05-23T19:34:07.000Z | [
"region:us"
] | nuprl | null | null | 1 | 63 | 2023-04-06T17:42:26 | ---
dataset_info:
features:
- name: hexsha
dtype: string
- name: size
dtype: int64
- name: ext
dtype: string
- name: lang
dtype: string
- name: max_stars_repo_path
dtype: string
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dtype: string
- name: max_stars_repo_head_hexsha
dtype: string
- nam... | 4,516 | [
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-0.00... |
atasoglu/databricks-dolly-15k-tr | 2023-05-01T10:30:39.000Z | [
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:tr",
"license:cc-by-sa-3.0",
"region:us"
] | atasoglu | null | null | 7 | 63 | 2023-05-01T10:22:31 | ---
license: cc-by-sa-3.0
task_categories:
- question-answering
language:
- tr
pretty_name: databricks-dolly-15k-tr
size_categories:
- 10K<n<100K
---
This dataset is machine-translated version of [databricks-dolly-15k.jsonl](https://github.com/databrickslabs/dolly/tree/master/data) into Turkish.
Used `googletrans==3.1... | 341 | [
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Thaweewat/onet-m6-social | 2023-05-11T00:42:33.000Z | [
"task_categories:question-answering",
"size_categories:n<1K",
"language:th",
"license:cc-by-sa-3.0",
"social",
"instruction-finetuning",
"region:us"
] | Thaweewat | null | null | 0 | 63 | 2023-05-10T21:12:45 | ---
license: cc-by-sa-3.0
task_categories:
- question-answering
language:
- th
tags:
- social
- instruction-finetuning
pretty_name: onet-m6
size_categories:
- n<1K
---
# Summary
This is a question-answer dataset for the Grade 12 (M6) Social subject of the Thailand Ordinary National Educational Test (ONET).
The datase... | 896 | [
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0.0233001... |
Weni/LLM-base | 2023-08-25T18:00:38.000Z | [
"task_categories:question-answering",
"size_categories:10K<n<100K",
"language:pt",
"region:us"
] | Weni | null | null | 0 | 63 | 2023-06-09T18:21:54 | ---
dataset_info:
features:
- name: id
dtype: int64
- name: question
dtype: string
- name: resposta
dtype: string
- name: context
dtype: string
- name: correct_ans
dtype: int64
splits:
- name: train
num_bytes: 18628924
num_examples: 29073
download_size: 8866205
dataset_si... | 608 | [
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-... |
Ali-C137/Arabic_guanaco_oasst1 | 2023-06-12T17:30:07.000Z | [
"size_categories:1K<n<10K",
"language:ar",
"license:apache-2.0",
"region:us"
] | Ali-C137 | null | null | 7 | 63 | 2023-06-12T17:25:00 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 20962143
num_examples: 9846
- name: test
num_bytes: 1102534
num_examples: 518
download_size: 10417464
dataset_size: 22064677
license: apache-2.0
language:
- ar
size_categories:
- 1K<n<10K
---
# Data... | 993 | [
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vencortex/DeOSAgentDocuments | 2023-07-25T14:20:30.000Z | [
"region:us"
] | vencortex | null | null | 0 | 63 | 2023-07-25T14:20:22 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: company_id
dtype: string
- name: context_id
dtype: string
- name: source
dtype: string
- name: date
dtype: string
- name: text
dtype: string
- name: embeddings
... | 639 | [
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-0.0653076171875,
-0.002... |
jinho8345/funsd | 2023-07-29T09:06:10.000Z | [
"region:us"
] | jinho8345 | null | null | 0 | 63 | 2023-07-29T09:06:02 | ---
dataset_info:
features:
- name: img
dtype: image
- name: filename
dtype: string
- name: boxes
sequence:
sequence: int64
- name: labels
sequence: string
- name: words
list:
list:
- name: box
sequence: int64
- name: text
dtype: string
- name: l... | 767 | [
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-0.026123... |
xzuyn/lima-alpaca | 2023-08-26T09:04:48.000Z | [
"size_categories:1K<n<10K",
"language:en",
"arxiv:2305.11206",
"region:us"
] | xzuyn | null | null | 1 | 63 | 2023-08-25T16:52:28 | ---
language:
- en
size_categories:
- 1K<n<10K
---
[Original Dataset by Meta AI](https://huggingface.co/datasets/GAIR/lima)
[LIMA: Less Is More Alignment](https://arxiv.org/abs/2305.11206) | 189 | [
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notrichardren/HaluEval | 2023-09-11T21:09:44.000Z | [
"region:us"
] | notrichardren | null | null | 0 | 63 | 2023-09-11T21:09:34 | ---
dataset_info:
- config_name: dialogue
features:
- name: knowledge
dtype: string
- name: dialogue_history
dtype: string
- name: right_response
dtype: string
- name: hallucinated_response
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- name: task_type
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splits:
- name: train
num_bytes: 6332598
... | 1,901 | [
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-0.057830810546875,
-0.03961181640625,
-0... |
babananabananana/long_lat_maps | 2023-10-10T19:31:00.000Z | [
"region:us"
] | babananabananana | null | null | 0 | 63 | 2023-10-10T19:10:56 | ---
dataset_info:
features:
- name: image
dtype: image
- name: index
dtype: int64
- name: latitude
dtype: float64
- name: longitude
dtype: float64
splits:
- name: train
num_bytes: 2065210484.388
num_examples: 24702
download_size: 1978578632
dataset_size: 2065210484.388
---
# Da... | 483 | [
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chrisgru/commonsense-dialogues4 | 2023-10-22T11:34:27.000Z | [
"region:us"
] | chrisgru | null | null | 0 | 63 | 2023-10-22T11:34:18 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: conversations
list:
- name: from
dtype: string
- name: value
dtype: string
- name: text
dtype: string
splits:
- name: trai... | 662 | [
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CJWeiss/ukabs | 2023-10-26T20:44:41.000Z | [
"region:us"
] | CJWeiss | null | null | 0 | 63 | 2023-10-26T20:44:33 | ---
dataset_info:
features:
- name: judgement
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- name: summary
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splits:
- name: train
num_bytes: 54887059
num_examples: 595
- name: test
num_bytes: 9859833
num_examples: 119
- name: valid
num_bytes: 6659871
num_examples: 79
download_size: 3385878... | 510 | [
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yxchar/ag-tlm | 2021-11-04T21:20:14.000Z | [
"region:us"
] | yxchar | null | null | 0 | 62 | 2022-03-02T23:29:22 | Entry not found | 15 | [
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0.03790283... |
valhalla/emoji-dataset | 2022-10-05T11:39:52.000Z | [
"region:us"
] | valhalla | null | null | 3 | 62 | 2022-10-05T08:39:37 | Entry not found | 15 | [
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0.0379... |
bigbio/cellfinder | 2022-12-22T15:44:19.000Z | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-3.0",
"region:us"
] | bigbio | The CellFinder project aims to create a stem cell data repository by linking information from existing public databases and by performing text mining on the research literature. The first version of the corpus is composed of 10 full text documents containing more than 2,100 sentences, 65,000 tokens and 5,200 annotation... | @inproceedings{neves2012annotating,
title = {Annotating and evaluating text for stem cell research},
author = {Neves, Mariana and Damaschun, Alexander and Kurtz, Andreas and Leser, Ulf},
year = 2012,
booktitle = {
Proceedings of the Third Workshop on Building and Evaluation Resources... | 1 | 62 | 2022-11-13T22:07:39 |
---
language:
- en
bigbio_language:
- English
license: cc-by-sa-3.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_SA_3p0
pretty_name: CellFinder
homepage: https://www.informatik.hu-berlin.de/de/forschung/gebiete/wbi/resources/cellfinder/
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- NAMED_E... | 1,711 | [
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bigbio/drugprot | 2023-01-06T03:30:02.000Z | [
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"region:us"
] | bigbio | The DrugProt corpus consists of a) expert-labelled chemical and gene mentions, and (b) all binary relationships between them corresponding to a specific set of biologically relevant relation types. | @inproceedings{miranda2021overview,
title={Overview of DrugProt BioCreative VII track: quality evaluation and large scale text mining of drug-gene/protein relations},
author={Miranda, Antonio and Mehryary, Farrokh and Luoma, Jouni and Pyysalo, Sampo and Valencia, Alfonso and Krallinger, Martin},
b... | 2 | 62 | 2023-01-06T03:27:49 |
---
language:
- en
bigbio_language:
- English
license: cc-by-4.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: DrugProt
homepage: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-1/
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_RECOGNITIO... | 1,332 | [
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mesmalif/amazon-shoe-reviews | 2023-02-06T16:07:08.000Z | [
"region:us"
] | mesmalif | null | null | 0 | 62 | 2023-02-06T16:06:43 | ---
dataset_info:
features:
- name: marketplace
dtype: string
- name: customer_id
dtype: string
- name: review_id
dtype: string
- name: product_id
dtype: string
- name: product_parent
dtype: string
- name: product_title
dtype: string
- name: product_category
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-... | 995 | [
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derek-thomas/squad-v1.1-t5-question-generation | 2023-03-09T13:50:46.000Z | [
"task_categories:text2text-generation",
"annotations_creators:crowdsourced",
"language_creators:crowdsourced",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:extended|squad",
"language:en",
"license:cc-by-4.0",
"questiongeneration",
"question-generation",
"text2tex... | derek-thomas | null | null | 2 | 62 | 2023-02-08T12:10:34 | ---
dataset_info:
features:
- name: context
dtype: string
- name: questions
dtype: string
splits:
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num_bytes: 20293805
num_examples: 18896
- name: validation
num_bytes: 2376313
num_examples: 2067
download_size: 12600387
dataset_size: 22670118
annotations_creators:
- ... | 3,348 | [
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CarperAI/pilev2-dev | 2023-03-13T09:19:03.000Z | [
"task_categories:text-generation",
"task_ids:language-modeling",
"annotations_creators:no-annotation",
"language_creators:crowdsourced",
"language_creators:machine-generated",
"multilinguality:multilingual",
"size_categories:n>1T",
"source_datasets:extended|the_pile",
"language:en",
"language:code... | CarperAI | null | null | 14 | 62 | 2023-03-01T08:25:14 | ---
annotations_creators:
- no-annotation
language:
- en
- code
language_creators:
- crowdsourced
- machine-generated
license: []
multilinguality:
- multilingual
pretty_name: Pile V2
size_categories:
- n>1T
source_datasets:
- extended|the_pile
tags:
- code
task_categories:
- text-generation
task_ids:
- language-modelin... | 5,354 | [
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phongmt184172/mtet | 2023-05-08T07:41:53.000Z | [
"task_categories:translation",
"size_categories:100M<n<1B",
"language:en",
"language:vi",
"region:us"
] | phongmt184172 | null | null | 4 | 62 | 2023-05-07T12:16:19 | ---
task_categories:
- translation
language:
- en
- vi
size_categories:
- 100M<n<1B
---
load_dataset('phongmt184172/mtet')
The dataset is cloned https://github.com/vietai/mTet for machine translation task. | 206 | [
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FreedomIntelligence/alpaca-gpt4-deutsch | 2023-08-06T08:08:37.000Z | [
"license:apache-2.0",
"region:us"
] | FreedomIntelligence | null | null | 1 | 62 | 2023-06-26T08:17:40 | ---
license: apache-2.0
---
The dataset is used in the research related to [MultilingualSIFT](https://github.com/FreedomIntelligence/MultilingualSIFT). | 152 | [
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Norquinal/claude_multiround_chat_30k | 2023-07-13T10:41:10.000Z | [
"region:us"
] | Norquinal | null | null | 19 | 62 | 2023-07-13T10:34:34 | This dataset is the result of 50k instruction/response pairs generated by Claude and two additional follow-up instructions for each base instruction (for a total of 150k instructions), with instances of blatant alignment removed.
32170 (96510) instructions remain.
The instructions were generated synethically using a ... | 670 | [
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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 | 0 | 62 | 2023-08-06T17:10:10 | ---
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... | 1,070 | [
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0.02... |
natmin322/3k_vietnamese_voice_augmented | 2023-08-12T09:14:22.000Z | [
"region:us"
] | natmin322 | null | null | 0 | 62 | 2023-08-12T08:40:10 | ---
dataset_info:
features:
- name: audio
dtype: audio
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 886300388.18
num_examples: 3005
download_size: 896990533
dataset_size: 886300388.18
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
-... | 506 | [
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piotr-rybak/legal-questions | 2023-08-23T09:59:45.000Z | [
"region:us"
] | piotr-rybak | Legal Questions is a dataset for evaluating passage retrievers. | \ | 0 | 62 | 2023-08-23T09:57:44 | Entry not found | 15 | [
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eduagarcia/generic_conll | 2023-08-29T02:59:05.000Z | [
"region:us"
] | eduagarcia | null | null | 0 | 62 | 2023-08-29T02:32:40 | Entry not found | 15 | [
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0.0379... |
hynky/czech-justice-summ-alpaca-long | 2023-09-10T21:24:17.000Z | [
"region:us"
] | hynky | null | null | 0 | 62 | 2023-09-10T21:24:04 | ---
dataset_info:
features:
- name: output
dtype: string
- name: instruction
dtype: string
splits:
- name: train
num_bytes: 26403302
num_examples: 4560
download_size: 12636847
dataset_size: 26403302
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
#... | 503 | [
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satyanshu404/trec-cast-2019 | 2023-11-02T14:16:22.000Z | [
"arxiv:2003.13624",
"region:us"
] | satyanshu404 | null | null | 1 | 62 | 2023-10-12T10:07:14 | # TREC Conversational Assistance Track (CAsT)
There are currently few datasets appropriate for training and evaluating models for Conversational Information Seeking (CIS). The main aim of TREC CAsT is to advance research on conversational search systems. The goal of the track is to create a reusable benchmark for ope... | 3,043 | [
[
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Zollo757347/adl_hw1_dataset | 2023-10-17T12:11:21.000Z | [
"region:us"
] | Zollo757347 | null | null | 0 | 62 | 2023-10-16T09:26:18 | ---
# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
{}
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
This dataset card aims to be a bas... | 4,563 | [
[
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0.00993347167... |
kyujinpy/OpenOrca-ko-v2 | 2023-10-28T19:58:34.000Z | [
"license:cc-by-nc-4.0",
"arxiv:2306.02707",
"arxiv:2301.13688",
"region:us"
] | kyujinpy | null | null | 0 | 62 | 2023-10-28T19:52:37 | ---
license: cc-by-nc-4.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: id
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: instruction
dtype: string
splits:
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num_bytes: 4... | 12,155 | [
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princeton-nlp/datasets-for-simcse | 2021-09-03T12:44:29.000Z | [
"region:us"
] | princeton-nlp | null | null | 1 | 61 | 2022-03-02T23:29:22 | Entry not found | 15 | [
[
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ai4bharat/IndicParaphrase | 2022-10-13T06:08:55.000Z | [
"annotations_creators:no-annotation",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:as",
"language:bn",
"language:gu",
"language:hi",
"language:kn",
"language:ml",
"language:mr",
"language:or",
"language:pa",
... | ai4bharat | This is the paraphrasing dataset released as part of IndicNLG Suite. Each
input is paired with up to 5 references. We create this dataset in eleven
languages including as, bn, gu, hi, kn, ml, mr, or, pa, ta, te. The total
size of the dataset is 5.57M. | @inproceedings{Kumar2022IndicNLGSM,
title={IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages},
author={Aman Kumar and Himani Shrotriya and Prachi Sahu and Raj Dabre and Ratish Puduppully and Anoop Kunchukuttan and Amogh Mishra and Mitesh M. Khapra and Pratyush Kumar},
year={2022},
u... | 1 | 61 | 2022-03-09T11:28:53 | ---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- as
- bn
- gu
- hi
- kn
- ml
- mr
- or
- pa
- ta
- te
license:
- cc-by-nc-4.0
multilinguality:
- multilingual
pretty_name: IndicParaphrase
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- conditional-text-generatio... | 6,530 | [
[
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taln-ls2n/kp20k | 2023-09-13T13:15:04.000Z | [
"task_categories:text-generation",
"annotations_creators:unknown",
"language_creators:unknown",
"multilinguality:monolingual",
"size_categories:100K<n<1M",
"language:en",
"license:unknown",
"keyphrase-generation",
"keyphrase-extraction",
"text-mining",
"region:us"
] | taln-ls2n | KP20k dataset for keyphrase extraction and generation in scientific paper. | @InProceedings{meng-EtAl:2017:Long,
author = {Meng, Rui and Zhao, Sanqiang and Han, Shuguang and He, Daqing and Brusilovsky, Peter and Chi, Yu},
title = {Deep Keyphrase Generation},
booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Lon... | 1 | 61 | 2022-04-14T09:00:02 | ---
annotations_creators:
- unknown
language_creators:
- unknown
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
task_categories:
- text-generation
task_ids: []
pretty_name: KP20k
tags:
- keyphrase-generation
- keyphrase-extraction
- text-mining
---
# KP20k Benchmark Datas... | 2,960 | [
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adithya7/xlel_wd | 2022-07-13T07:46:57.000Z | [
"annotations_creators:found",
"language_creators:found",
"multilinguality:multilingual",
"size_categories:1M<n<10M",
"source_datasets:original",
"language:af",
"language:ar",
"language:be",
"language:bg",
"language:bn",
"language:ca",
"language:cs",
"language:da",
"language:de",
"languag... | adithya7 | XLEL-WD is a multilingual event linking dataset. This dataset contains mention references from multilingual Wikipedia/Wikinews articles to event items in Wikidata. The text descriptions for Wikidata events are compiled from Wikipedia articles. | @article{pratapa-etal-2022-multilingual,
title = {Multilingual Event Linking to Wikidata},
author = {Pratapa, Adithya and Gupta, Rishubh and Mitamura, Teruko},
publisher = {arXiv},
year = {2022},
url = {https://arxiv.org/abs/2204.06535},
} | 1 | 61 | 2022-04-22T02:50:11 | ---
annotations_creators:
- found
language_creators:
- found
language:
- af
- ar
- be
- bg
- bn
- ca
- cs
- da
- de
- el
- en
- es
- fa
- fi
- fr
- he
- hi
- hu
- id
- it
- ja
- ko
- ml
- mr
- ms
- nl
- 'no'
- pl
- pt
- ro
- ru
- si
- sk
- sl
- sr
- sv
- sw
- ta
- te
- th
- tr
- uk
- vi
- zh
license:
- cc-by-4.0
multil... | 7,963 | [
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-0.055511474609375,
-0.034332275... |
florentgbelidji/car-reviews | 2022-06-08T16:43:39.000Z | [
"region:us"
] | florentgbelidji | null | null | 0 | 61 | 2022-06-08T15:55:45 | Entry not found | 15 | [
[
-0.02142333984375,
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0.052520751953125,
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0.0513916015625,
0.016998291015625,
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-0.060394287109375,
0.0379... |
tner/fin | 2022-08-15T17:50:31.000Z | [
"task_categories:token-classification",
"task_ids:named-entity-recognition",
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"license:mit",
"region:us"
] | tner | [FIN NER dataset](https://aclanthology.org/U15-1010.pdf) | @inproceedings{salinas-alvarado-etal-2015-domain,
title = "Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment",
author = "Salinas Alvarado, Julio Cesar and
Verspoor, Karin and
Baldwin, Timothy",
booktitle = "Proceedings of the Australasian Language Technology Associa... | 4 | 61 | 2022-07-16T11:08:45 | ---
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: FIN
---
# Dataset Card for "tner/fin"
## Dataset Description
- **Repository:** [T-NER](https://github.com/asahi417/tner)
- **Paper:** ... | 2,016 | [
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0.034393310546875,
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-0.042236328125,
0.... |
lewtun/music_genres | 2022-11-02T10:27:30.000Z | [
"region:us"
] | lewtun | null | null | 3 | 61 | 2022-11-02T10:01:46 | ---
dataset_info:
features:
- name: audio
dtype: audio
- name: song_id
dtype: int64
- name: genre_id
dtype: int64
- name: genre
dtype: string
splits:
- name: test
num_bytes: 1978321742.996
num_examples: 5076
- name: train
num_bytes: 7844298868.902
num_examples: 19909
do... | 545 | [
[
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0.06658935546875,
0.031982421875,
-0.07196044921875,
-0.07275390625,
-0.0384521484375,
-0.01... |
shjwudp/chinese-c4 | 2023-06-20T11:40:06.000Z | [
"language:zh",
"license:cc-by-4.0",
"region:us"
] | shjwudp | null | null | 11 | 61 | 2022-11-15T01:27:26 | ---
license: cc-by-4.0
language:
- zh
---
## Introduction
Chinese-C4 is a clean Chinese internet dataset based on Common Crawl. The dataset is 46.29GB and has undergone multiple cleaning strategies, including Chinese filtering, heuristic cleaning based on punctuation, line-based hashing for deduplication, and repetit... | 631 | [
[
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0.043365478515625,
-0.034881591796875,
-0.057952880859375,
0.00726699829101562... |
reasoning-machines/gsm-hard | 2023-01-17T03:21:10.000Z | [
"task_categories:text2text-generation",
"language_creators:crowdsourced",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:unknown",
"source_datasets:gsm8k (https://huggingface.co/datasets/gsm8k)",
"language:code",
"license:mit",
"math_reasoning",
"symbolic_rea... | reasoning-machines | null | null | 12 | 61 | 2023-01-17T03:05:50 | ---
annotations_creators: []
language_creators:
- crowdsourced
- expert-generated
language:
- code
license:
- mit
multilinguality:
- monolingual
size_categories:
- unknown
source_datasets:
- gsm8k (https://huggingface.co/datasets/gsm8k)
task_categories:
- text2text-generation
task_ids: []
pretty_name: gsm-hard
tags:
- ... | 1,513 | [
[
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-0.038818359375,
0.029052734375,
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-0.02813720703125,
0.009033203125,
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0.041748046875,
-0.042816162109375,
-0.032257080078125,
-0.03564453125,
0.01808166503906... |
range3/wikipedia-ja-20230101 | 2023-02-04T05:44:41.000Z | [
"task_categories:text-generation",
"task_categories:fill-mask",
"language:ja",
"license:cc-by-sa-3.0",
"license:gfdl",
"region:us"
] | range3 | null | null | 3 | 61 | 2023-02-04T04:29:29 | ---
license:
- cc-by-sa-3.0
- gfdl
task_categories:
- text-generation
- fill-mask
language:
- ja
---
# range3/wikipedia-ja-20230101
This dataset consists of a parquet file from the wikipedia dataset with only Japanese data extracted. It is generated by the following python code.
このデータセットは、wikipediaデータセットの日本語データのみを抽出した... | 601 | [
[
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0.036865234375,
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-0.04388427734375,
-0.0295562744140625,
0.0... |
BelleGroup/train_2M_CN | 2023-04-08T03:33:28.000Z | [
"task_categories:text2text-generation",
"size_categories:1M<n<10M",
"language:zh",
"license:gpl-3.0",
"region:us"
] | BelleGroup | null | null | 88 | 61 | 2023-04-08T02:58:58 | ---
license: gpl-3.0
task_categories:
- text2text-generation
language:
- zh
size_categories:
- 1M<n<10M
---
## 内容
包含约200万条由[BELLE](https://github.com/LianjiaTech/BELLE)项目生成的中文指令数据。
## 样例
```
{
"instruction": "将以下三个句子组合成一个有意义的段落。\n狗是人类最好的朋友。它们非常聪明,可以进行各种活动。如果你喜欢散步,狗可以成为你一起散步的伙伴。",
"input": "",
"output": "狗是人类最好的... | 637 | [
[
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0.046234130859375,
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0.0163116455078125,
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0.024993896484375,
0.040435791015625,
-0.05078125,
-0.065185546875,
-0.053375244140625,
0.003187179... |
aisquared/databricks-dolly-15k | 2023-04-12T18:14:46.000Z | [
"language:en",
"license:cc-by-sa-3.0",
"databricks",
"dolly",
"arxiv:2203.02155",
"region:us"
] | aisquared | null | null | 3 | 61 | 2023-04-12T17:45:01 | ---
license: cc-by-sa-3.0
language:
- en
tags:
- databricks
- dolly
pretty_name: 'Dataset '
---
# databricks-dolly-15k
**This dataset was not originally created by AI Squared.** This dataset was curated and created by [Databricks](https://databricks.com).
The below text comes from the original release of the dataset... | 7,955 | [
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0.034881591796875,
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-0.04754638671875,
-0.021514892578125,
0.026... |
Fredithefish/Instruction-Tuning-with-GPT-4-RedPajama-Chat | 2023-05-17T11:31:57.000Z | [
"task_categories:question-answering",
"language:en",
"license:cc",
"region:us"
] | Fredithefish | null | null | 1 | 61 | 2023-05-16T14:12:28 | ---
license: cc
task_categories:
- question-answering
language:
- en
---
# Instruction Tuning with GPT 4 RedPajama-Chat
This dataset has been converted from the <a href="https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM" target="_new">Instruction-Tuning-with-GPT-4</a> dataset for the purpose of fine-tuning the... | 826 | [
[
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0.030914306640625,
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-0.0225067138671875,
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0.017608642578125,
0.0457763671875,
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-0.060272216796875,
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0.0036... |
TigerResearch/tigerbot-kaggle-leetcodesolutions-en-2k | 2023-05-31T02:01:37.000Z | [
"language:en",
"license:apache-2.0",
"region:us"
] | TigerResearch | null | null | 8 | 61 | 2023-05-30T15:10:06 | ---
license: apache-2.0
language:
- en
---
[Tigerbot](https://github.com/TigerResearch/TigerBot) 基于leetcode-solutions数据集,加工生成的代码类sft数据集
<p align="center" width="40%">
原始来源:[https://www.kaggle.com/datasets/erichartford/leetcode-solutions](https://www.kaggle.com/datasets/erichartford/leetcode-solutions)
## Usage
```p... | 435 | [
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0.0280914306640625,
-0.048858642578125,
-0.034881591796875,
-0.00408172607421875,
... |
Isamu136/custom_diffusion_eval_dataset | 2023-06-03T02:34:35.000Z | [
"region:us"
] | Isamu136 | null | null | 0 | 61 | 2023-06-03T02:31:37 | ---
dataset_info:
features:
- name: image
dtype: image
- name: prompt
dtype: string
- name: ibot_b_16_embedding
sequence: float32
- name: moco_vitb_imagenet_embeddings_without_last_layer
sequence: float32
- name: clip_vision_l14
sequence: float32
- name: clip_l14
sequence: float32
... | 636 | [
[
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0.028656005859375,
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0.0257415771484375,
0.0207366943359375,
0.07012939453125,
0.0226898193359375,
-0.0394287109375,
-0.058807373046875,
-0.041473388671875,
-0... |
clarin-knext/arguana-pl-qrels | 2023-06-07T08:16:24.000Z | [
"language:pl",
"arxiv:2305.19840",
"region:us"
] | clarin-knext | null | null | 0 | 61 | 2023-06-06T22:13:33 | ---
language:
- pl
---
Part of **BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language**.
Link to arxiv: https://arxiv.org/pdf/2305.19840.pdf
Contact: konrad.wojtasik@pwr.edu.pl | 201 | [
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0.028656005859375,
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-0.0290069580078125,
-0... |
truehealth/liveqa | 2023-06-12T18:47:46.000Z | [
"region:us"
] | truehealth | null | null | 0 | 61 | 2023-06-12T15:13:08 | ---
dataset_info:
features:
- name: questionid
dtype: string
- name: subject
dtype: string
- name: message
dtype: string
- name: focus
dtype: string
- name: type
dtype: string
- name: answerid
dtype: string
- name: pairid
dtype: string
- name: answer
dtype: string
spl... | 596 | [
[
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0.00885009765625,
0.010711669921875,
-0.00994873046875,
0.02197265625,
0.0340576171875,
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0.0682373046875,
0.0357666015625,
-0.06475830078125,
-0.04730224609375,
-0.0251007080078125,
-0.0279541015625,
... |
tomh/grace-scotus | 2023-06-13T18:58:16.000Z | [
"task_categories:text-classification",
"multilinguality:monolingual",
"source_datasets:coastalcph/fairlex",
"language:en",
"arxiv:2211.11031",
"region:us"
] | tomh | null | null | 0 | 61 | 2023-06-13T17:59:27 | ---
language:
- en
license: []
multilinguality:
- monolingual
pretty_name: scotus_grace
source_datasets:
- coastalcph/fairlex
task_categories:
- text-classification
---
# Dataset Card for the SCOTUS lifelong editing task
## Dataset Description
- **Homepage: https://github.com/Thartvigsen/GRACE**
- **Repository: http... | 991 | [
[
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0.00998687744140625,
0.037445068359375,
-0.054840087890625,
-0.040496826171875,
-0.03472900390625,
... |
PNLPhub/FarsTail | 2023-07-09T07:39:52.000Z | [
"task_categories:text-classification",
"size_categories:1K<n<10K",
"language:fa",
"license:apache-2.0",
"arxiv:2009.08820",
"region:us"
] | PNLPhub | \\\\\\\A Persian Natural Language Inference Dataset | \@article{amirkhani2020farstail,
title={FarsTail: A Persian Natural Language Inference Dataset},
author={Hossein Amirkhani, Mohammad Azari Jafari, Azadeh Amirak, Zohreh Pourjafari, Soroush Faridan Jahromi, and Zeinab Kouhkan},
journal={arXiv preprint arXiv:2009.08820},
year={2020}
} | 0 | 61 | 2023-06-16T13:53:43 | ---
license: apache-2.0
task_categories:
- text-classification
language:
- fa
size_categories:
- 1K<n<10K
---
## Dataset Description
- **Repository:https://github.com/dml-qom/FarsTail**
- **Paper:https://arxiv.org/abs/2009.08820**
### Dataset Summary
Persian (Farsi) language is a pluricentric language spoken by a... | 1,065 | [
[
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0.02838134765625,
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-0.015228271484375... |
calmgoose/amazon-product-data-2020 | 2023-06-21T15:57:58.000Z | [
"task_categories:table-question-answering",
"language:en",
"license:cc0-1.0",
"ecommerce",
"amazon",
"product data",
"region:us"
] | calmgoose | null | null | 0 | 61 | 2023-06-21T15:47:04 | ---
license: cc0-1.0
task_categories:
- table-question-answering
language:
- en
tags:
- ecommerce
- amazon
- product data
pretty_name: Amazon product dataset 2020
---
# What is this?
This is a cleaned version of [Amazon Product Dataset 2020](https://www.kaggle.com/datasets/promptcloud/amazon-product-dataset-2020) from... | 541 | [
[
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-0.0438232421875,
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0.002729415... |
erfanzar/GPT4-8K | 2023-09-07T11:04:23.000Z | [
"task_categories:text-classification",
"task_categories:translation",
"task_categories:conversational",
"task_categories:text-generation",
"task_categories:summarization",
"size_categories:1K<n<10K",
"language:en",
"region:us"
] | erfanzar | null | null | 2 | 61 | 2023-09-06T10:17:32 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: dialogs
sequence: string
- name: user
sequence: string
- name: assistant
sequence: string
- name: llama2_prompt
dtype: string
splits:
- name: train
num_bytes: 19360... | 2,015 | [
[
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0.040374755859375,
-0.049560546875,
-0.03240966796875,
-0.02752685546875,
0.01... |
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