cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/j9a2vbvn
title: Stochastic Sequential MNIST (ssMNIST)

description: The Stochastic Sequential MNIST (ssMNIST) dataset consists of higher-order sequences of randomly chosen MNIST digits that are drawn according to a predetermined list of labels, challenging models to learn both digit recognition and sequence prediction.
DOI: 10.57702/xrc1mref
title: OpenSubtitles

description: The OpenSubtitles corpus is used for training and evaluating the conversational response generation models, providing context-response pairs from dialogue turn segments.
DOI: 10.5281/zenodo.13982985
title: MONTUR Project: Tourist flows

description: These datasets of tourist flows in the Aosta Valley region (Italy) represent the restrictions obtained from the original dataset of the MONTUR project (University of Aosta Valley -  Department of Economics and Political Sciences - and CT-TEM UNIVDA - Centro Transfrontaliero sul Turismo e l’Economia di Montagna).
DOI: 10.5281/zenodo.13982986
title: MONTUR Project: Tourist flows

description: These datasets of tourist flows in the Aosta Valley region (Italy) represent the restrictions obtained from the original dataset of the MONTUR project (University of Aosta Valley -  Department of Economics and Political Sciences - and CT-TEM UNIVDA - Centro Transfrontaliero sul Turismo e l’Economia di Montagna).
DOI: 10.5281/zenodo.14217030
title: MONTUR Project: Tourist flows

description: These datasets of tourist flows in the Aosta Valley region (Italy) represent the restrictions obtained from the original dataset of the MONTUR project (University of Aosta Valley -  Department of Economics and Political Sciences - and CT-TEM UNIVDA - Centro Transfrontaliero sul Turismo e l’Economia di Montagna).
DOI: 10.57702/yz1o9ycy
title: Filtered OpenSubtitles (fOST)

description: Filtered OpenSubtitles dataset contains high coherence context-response pairs extracted from the main OpenSubtitles corpus, aimed at ensuring better qualities in conversational models.
DOI: 10.57702/vs2pfiab
title: WMT English-German dataset

description: The WMT English-German dataset is used for evaluating translation models, focused on machine translation tasks.
DOI: 10.57702/zmgy8dz3
title: Stanford Natural Language Inference (SNLI)

description: The SNLI (Stanford Natural Language Inference) dataset is used for evaluating language understanding tasks and is comprised of sentence pairs annotated for their entailment relationships.
DOI: 10.57702/ajsmziwa
title: Yahoo Reviews Dataset

description: Yahoo dataset is used for building models that require textual review data, specifically for user-generated reviews.
DOI: 10.57702/1knawzvf
title: CUB-200-2011 Dataset

description: CUB-200-2011 is a fine-grained image dataset containing 11,788 images of birds across 200 species, used for few-shot learning and fine-grained classification.
DOI: 10.57702/edrfwgir
title: PAWS-X

description: PAWS-X is a cross-lingual adversarial dataset for paraphrase identification consisting of 23,659 human translated pairs in six languages (French, Spanish, German, Chinese, Japanese, and Korean). It aims to enhance multilingual research in paraphrase identification by providing challenging examples that have high word overlap but different semantic meanings.
DOI: 10.57702/cgsy0psr
title: MPUART Marine Plant Using Augmented Reality Technology

description: A dataset focused on marine plant technologies using augmented reality. It includes a comprehensive list of patents related to this technology, filtered for validity based on expert input.
DOI: 10.57702/cnty5j6v
title: 1MWDFS Technology for 1MW Dual Frequency System

description: A dataset detailing the technology for 1MW dual frequency systems, containing valid patents that have been curated based on expert recommendations.
DOI: 10.57702/3ssyqk83
title: MRRG Technology for Micro Radar Rain Gauge

description: This dataset includes technology focused on micro radar rain gauge systems, with a thorough filtering process to identify valid patents.
DOI: 10.57702/sqbfctua
title: GOCS Technology for Geostationary Orbit Complex Satellite

description: This dataset pertains to geostationary orbit complex satellite technology, comprising valid patents that have undergone expert validation.
DOI: 10.57702/at5n1jwo
title: Parallel Translation Dataset for NMT

description: The dataset includes parallel translation data used to train victim models for evaluating adversarial attacks in neural machine translation tasks.
DOI: 10.57702/24cdj8qr
title: WMT14 English-French and English-German Dataset

description: WMT14 dataset consisting of English to French and English to German translations used as test sets for evaluating the robustness of the machine translation systems.
DOI: 10.57702/9sqblkj9
title: NIST Chinese-English Test Dataset

description: NIST test sets used as evaluation benchmarks for Chinese to English translation performance.
DOI: 10.57702/rvdy8fm7
title: WMT19 News Translation Dataset

description: The dataset includes authentic parallel data with and without document boundaries, as well as back-translated data to enhance the training of document-level translation models.
DOI: 10.57702/jl5zi3te
title: DSTC8

description: The DSTC8 dataset is used for addressing the audio visual scene-aware dialog task, specifically involving generating responses based on multimodal inputs including video, audio, and dialogue history.
DOI: 10.57702/cm6am768
title: DSTC7

description: The DSTC7 dataset is also referenced for evaluating model performance in the context of audio visual scene-aware dialog, challenging the generation of appropriate responses based on multimodal inputs.
DOI: 10.57702/4hor8t9u
title: CMRC 2018

description: CMRC 2018 is a span-extraction machine reading comprehension dataset similar to SQuAD, which requires the extraction of a passage span for given questions.
DOI: 10.15468/dl.6qa7qb
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Primulina lungzhouensis (W.T.Wang) Mich.Möller & A.Weber)"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000060-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/xdr8qzvm
title: DRCD

description: DRCD is a span-extraction machine reading comprehension dataset that is written in Traditional Chinese.
DOI: 10.57702/mm24oy6b
title: CJRC

description: CJRC is a dataset for machine reading comprehension specializing in Chinese legal judgments, containing yes/no questions, no-answer questions, and span-extraction questions.
DOI: 10.57702/nr7br9n5
title: ChnSentiCorp

description: ChnSentiCorp is a dataset used for sentiment classification in Chinese documents, where the text is classified into positive or negative labels.
DOI: 10.57702/a74ejtnn
title: THUCNews

description: THUCNews is a dataset used for news categorization tasks in different genres, containing 50K news articles in ten domains.
DOI: 10.57702/4mrp6ab1
title: TNEWS

description: TNEWS is a short text classification dataset consisting of news titles and keywords requiring classification into one of 15 classes.
DOI: 10.57702/6dwv122n
title: LCQMC

description: LCQMC is a large-scale Chinese question matching corpus used for determining the semantic equivalence of question pairs.
DOI: 10.57702/0fhf0bun
title: BQ Corpus

description: BQ Corpus is a large-scale dataset for sentence semantic equivalence identification in Chinese.
DOI: 10.57702/t3r11jae
title: OCNLI

description: OCNLI is a dataset for natural language inference adapted for Chinese language, consisting of premise-hypothesis pairs.
DOI: 10.57702/beksufpo
title: LAPTOP dataset

description: The LAPTOP dataset is used for aspect-based sentiment analysis, containing review sentences along with gold standard aspect sentiment annotations.
DOI: 10.57702/mqd903p1
title: REST dataset

description: The REST dataset is derived from restaurant reviews, also containing review sentences and aspect sentiment annotations for aspect-based sentiment analysis.
DOI: 10.57702/z9z5dpu9
title: ConvAI2 Dataset

description: The ConvAI2 dataset, derived from Persona-Chat, contains dialogues between crowdworkers who role-play as assigned personas, enabling the development of conversational agents that can mimic engaging interactions.
DOI: 10.57702/p5u65v5u
title: Sexism Categorization Dataset

description: The dataset comprises 13023 accounts of sexism, including first-person accounts from survivors, each tagged with at least one of 23 categories of sexism.
DOI: 10.57702/fp1c2xds
title: MultiNLI

description: The MultiNLI corpus is a dataset designed to assist in learning natural language inference, featuring sentence pairs labeled as entailment, neutral, or contradiction, which aid in generating contradictory instances.
DOI: 10.57702/x9k4kjoi
title: MedNLI

description: The MedNLI dataset is used to predict the entailment relation between a pair of sentences, with premises taken from doctors' notes in the clinical dataset MIMIC-III.
DOI: 10.25345/c59p2wj4t
title: MassIVE MSV000096513 - PUP-IT proximity-labeling of LST8-1 and RAPTOR1 interactors (constitutive expression)
title: PUP-IT proximity labeling of Arabidopsis Target of Rapamycin Complex (TORC) subunits LST8-1 and RAPTOR1, compared against a GFP control, with constitutively expressed FLAG::PUP(E). The sample metadata, sequence database and fragpipe workflow are uploaded under the 'Metadata' tag.
DOI: 10.57702/zq1y0eh1
title: Sarcasm Interpretation Dataset

description: The dataset contains 4,762 pairs of sarcastic messages and hearer interpretations, collected through a crowdsourcing experiment.
DOI: 10.57702/06yerkp1
title: Sarcastic Tweets Dataset

description: A dataset of 3,000 sarcastic tweets, each interpreted by five human judges, focusing on the task of sarcasm interpretation.
DOI: 10.15468/dl.rhawg8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Oreocharis parvifolia (K.Y.Pan) Mich.Möller & W.H.Chen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000061-241125135418005/datasets/export for details.
DOI: 10.57702/f5e5irfc
title: QuAC

description: QuAC is a dataset for question answering in a conversational context, requiring understanding of the multi-turn dialogue history to provide contextually relevant answers derived from source paragraphs.
DOI: 10.57702/sfxyr7hy
title: WMT19 QE Datasets

description: The dataset consists of parallel data from various corpuses used for training and evaluating the bilingual BERT model for translation quality estimation.
DOI: 10.57702/j0shdpnl
title: First Certificate in English (FCE) dataset

description: The First Certificate in English (FCE) dataset contains essays written by non-native learners of English assessed in a language exam, annotated for language errors and suggestions for corrections.
DOI: 10.57702/ydt58bo2
title: CoNLL 2014 shared task dataset

description: The CoNLL 2014 shared task dataset is comprised of essays written by undergraduate students, annotated for grammatical errors.
DOI: 10.57702/a32298d3
title: BEA 2019 shared task dataset

description: The Building Educational Applications (BEA) shared task on GEC provides datasets including the Cambridge English Write & Improve corpus, which is composed of texts written by learners.
DOI: 10.57702/6eyntip5
title: IWSLT14 German-to-English

description: The IWSLT14 German-to-English dataset contains approximately 153K sentence pairs used for the machine translation task.
DOI: 10.3886/e211723
title: Pew Research Center's 2022-23 Survey of Asian Americans

description: This Pew Research Center survey
asked a nationally representative sample of 7,006 Asian American adults about
their experiences living in, and views of, the United States. It covers topics
such as racial and ethnic identity, religious identities and practices, policy
priorities, discrimination and racism in America, affirmative action, global
affairs, living with economic hardship and immigrant experiences.<br>The survey sampled U.S. adults who
self-identify as Asian, either alone or in combination with other races or
Hispanic ethnicity. It included oversamples of the Chinese, Filipino, Indian,
Korean and Vietnamese populations. Respondents were drawn from a national
sample of residential mailing addresses, which included addresses from all 50
states and the District of Columbia. Specialized surname list frames were used
to supplement the sample. The survey was conducted on paper and web in six
languages: Chinese (Simplified and Traditional), English, Hindi, Korean,
Tagalog and Vietnamese. Responses were collected from July 5, 2022, to Jan. 27,
2023.
description: Weights
should be used for all substantive analysis. The data files include both an
overall weight (P_RAKEDW0) as well as replicate weights
(P_RAKEDW1-P_RAKEDW100). Both sets of weights will yield the same point
estimate, but replicate weights are useful to reduce variance.<br>
description: Response Rates: The
overall response rate for the Asian American sample in the Pew Research Center
survey was 13.3%. This overall response rate is the product of the screener
response rate (17.0%) and the conditional response rate for the extended
questionnaire (77.9%).<br>
description: The
sampling design of the survey was an address-based sampling (ABS) approach,
supplemented by list samples, to reach a nationally representative group of
respondents. <br>
description: U.S.
adults who self-identify as Asian (alone or in combination with any other race
or ethnicity) <br>. Smallest Geographic Unit: National
description: paper and pencil interview (PAPI); web-based survey;
DOI: 10.3886/e211723v1
title: Pew Research Center's 2022-23 Survey of Asian Americans

description: This Pew Research Center survey
asked a nationally representative sample of 7,006 Asian American adults about
their experiences living in, and views of, the United States. It covers topics
such as racial and ethnic identity, religious identities and practices, policy
priorities, discrimination and racism in America, affirmative action, global
affairs, living with economic hardship and immigrant experiences.<br>The survey sampled U.S. adults who
self-identify as Asian, either alone or in combination with other races or
Hispanic ethnicity. It included oversamples of the Chinese, Filipino, Indian,
Korean and Vietnamese populations. Respondents were drawn from a national
sample of residential mailing addresses, which included addresses from all 50
states and the District of Columbia. Specialized surname list frames were used
to supplement the sample. The survey was conducted on paper and web in six
languages: Chinese (Simplified and Traditional), English, Hindi, Korean,
Tagalog and Vietnamese. Responses were collected from July 5, 2022, to Jan. 27,
2023.
description: Weights
should be used for all substantive analysis. The data files include both an
overall weight (P_RAKEDW0) as well as replicate weights
(P_RAKEDW1-P_RAKEDW100). Both sets of weights will yield the same point
estimate, but replicate weights are useful to reduce variance.<br>
description: Response Rates: The
overall response rate for the Asian American sample in the Pew Research Center
survey was 13.3%. This overall response rate is the product of the screener
response rate (17.0%) and the conditional response rate for the extended
questionnaire (77.9%).<br>
description: The
sampling design of the survey was an address-based sampling (ABS) approach,
supplemented by list samples, to reach a nationally representative group of
respondents. <br>
description: U.S.
adults who self-identify as Asian (alone or in combination with any other race
or ethnicity) <br>. Smallest Geographic Unit: National
description: paper and pencil interview (PAPI); web-based survey;
DOI: 10.57702/74bpeyba
title: WMT14 English-to-German

description: The WMT14 English-to-German dataset consists of about 4.5M training parallel sentence pairs utilized for machine translation.
DOI: 10.57702/x2izm9w0
title: BERT Pretraining Dataset

description: The BERT dataset includes the English Wikipedia corpus and BookCorpus, totaling roughly 3.4B words, used for unsupervised pre-training.
DOI: 10.57702/dbdv0qii
title: Movie Triples

description: The Movie Triples dataset contains about 240,000 dialogue triples covering a wide range of topics, making it suitable for studying the relevance-diversity tradeoff in multi-turn conversations.
DOI: 10.57702/b8a46rwf
title: Ubuntu Dialogue

description: The Ubuntu Dialogue dataset is extracted from the Ubuntu Relay Chat Channel and contains about 1.85 million conversations with an average of 5 utterances per conversation, ideal for training dialogue models that can provide expert knowledge/recommendation in domain-specific conversations.
DOI: 10.57702/93m750ve
title: Stanford Natural Language Inference (SNLI) dataset

description: The Stanford Natural Language Inference (SNLI) dataset consists of pairs of sequences that represent certain semantic attributes. In this work, the authors ignore the labels and focus on generating sequences using the 5000 most common words, resulting in 500k sequences.
DOI: 10.57702/r3wfawk2
title: Multi-Genre Natural Language Inference (MultiNLI) dataset

description: The MultiNLI corpus consists of 433k sentence pairs containing nine genres which contribute to the concept of multi-genres. It features matched and mismatched development/test sets.
DOI: 10.57702/sgekpexj
title: LAMA

description: LAMA (Language Model Analysis) dataset is designed to probe the factual and commonsense knowledge of pretrained language models through cloze-style questions based on knowledge base triples.
DOI: 10.57702/4ckfqn3t
title: AIDA

description: AIDA dataset is annotated with Wikipedia URLs for entity linking, containing documents that require linking textual entities to knowledge base entities.
DOI: 10.57702/baqdtn5w
title: FewRel

description: FewRel is a relation classification dataset that consists of sentences with annotated subject and object entity mentions, used for supervised relation classification tasks.
DOI: 10.57702/e2gcy24w
title: MNLI

description: The Multi-Genre Natural Language Inference (MNLI) corpus is a crowd-sourced collection of 433k sentence pairs annotated with textual entailment information, covering multiple genres and enabling cross-genre generalization evaluation.
DOI: 10.57702/ibevyl1r
title: Single Word Replacement Attacks

description: The dataset is created by modifying SNLI examples with single word replacements that test lexical inferences and simple world knowledge, aimed at analyzing model robustness against simplistic lexical relations.
DOI: 10.15468/dl.dca2wr
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Primulina luochengensis (Yan Liu & W.B.Xu) Mich.Möller & A.Weber)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000063-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/18x7mwm0
title: Error-Analysis Motivated Attacks

description: This dataset consists of various tests categorized based on mistakes made by NLI models, including tests like antonyms and negation words, designed to stress test NLP models.
DOI: 10.15468/dl.csjuxy
title: Occurrence Download

description: A dataset containing 13473 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pogona barbata (Cuvier, 1829)"
 ]
}

 The dataset includes 13473 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000056-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/c4p6xobn
title: Heuristic-based Adversarial Dataset

description: A dataset generated from templates that create sentences designed to reveal weaknesses in NLI models based on syntactic heuristics, focusing on entailment and non-entailment examples.
DOI: 10.57702/wislzrh9
title: MultiWOZ

description: The MultiWOZ dataset is a large-scale multi-domain dialogue dataset containing fully-annotated human-human conversations related to tourists, spanning across seven domains including attraction, hospital, police, hotel, restaurant, taxi, and train.
DOI: 10.15468/dl.4wn4hv
title: Occurrence Download

description: A dataset containing 58669421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Continent is Africa"
 ]
}

 The dataset includes 58669421 records from 1590 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000049-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive131329.20241212.9.2
title: Aliidiomarina haloalkalitolerans Srinivas et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131330.20241212.9.2
title: Ichthyenterobacterium magnum Shakeela et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131331.20241212.9.2
title: Limisphaera ngatamarikiensis Anders et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive131332.20241212.9.2
title: Chryseobacterium polytrichastri Chen et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.57nwqq
title: Occurrence Download

description: A dataset containing 12851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pterocarpus erinaceus Poir."
 ]
}

 The dataset includes 12851 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010342-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ec84tp
title: Occurrence Download

description: A dataset containing 5400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Microsorum scolopendria (Burm.fil.) Copel.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 5400 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010346-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.