cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/5he7y6h0
title: Adobe Matting Dataset

description: The foreground objects are randomly sampled from the Adobe Matting Dataset used to generate layered scene representations for the bokeh ground truth.
DOI: 10.57702/pm8djzgt
title: STOI Dataset for Speech Intelligibility Improvement

description: The dataset contains measures of Short Time Objective Intelligibility (STOI) obtained from speech processing experiments involving different combinations of language, noise, and SNR levels, aimed at evaluating speech intelligibility improvement techniques.
DOI: 10.57702/0er1wx8z
title: Entity Knowledge Base Discovery Dataset

description: A dataset used for discovering entity knowledge bases on the web.
DOI: 10.57702/0wm6yf6c
title: IKE - Interactive Knowledge Extraction Dataset

description: An interactive tool dataset for knowledge extraction that facilitates a user-driven approach.
DOI: 10.15468/dl.drqr3a
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 (Primulina minor F.Wen & Y.G.Wei)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000104-241125135418005/datasets/export for details.
DOI: 10.57702/w10a3918
title: Multi-hop Relation Extraction Dataset

description: A dataset that incorporates selectional preferences in multi-hop relation extraction tasks.
DOI: 10.57702/o63pnklb
title: Email Organization Mention Dataset

description: A dataset focused on knowledge base population for mentions of organizations within email communication.
DOI: 10.57702/yu2pwyrd
title: Wikidata Frame Semantics Dataset

description: A dataset for enriching Wikidata through frame semantics analysis.
DOI: 10.57702/2vu8jbbs
title: WIKIFLUENT

description: The WIKIFLUENT corpus is a synthetic dataset comprising 934k sentences based on English Wikipedia, providing training data for operations in natural language processing.
DOI: 10.57702/54uizc6w
title: DS-I Tobacco signature dataset

description: The DS-I Tobacco signature dataset contains 189 clean and high-quality signatures from 63 authors, with three per author, all of which are full signatures.
DOI: 10.57702/bczc0zh2
title: DS-II UMD signature dataset

description: The DS-II UMD signature dataset contains 26,661 signatures from 887 authors, consisting of both full and partial signatures with various degradations.
DOI: 10.57702/gs2ly00u
title: DS-I partial dataset

description: The DS-I partial dataset is manually selected from the DS-I Tobacco signature dataset by clipping out the first names of all full signatures for testing purposes.
DOI: 10.57702/wi0c17js
title: DS-II partial dataset

description: The DS-II partial dataset is constructed from the DS-II UMD dataset, including signatures from authors who have at least one partial signature for training and testing.
DOI: 10.57702/mmy6lra8
title: Offensive Language Identification Dataset - OLID

description: The Offensive Language Identification Dataset (OLID) contains a collection of English tweets annotated for offensive language, with specific focus on the identification of targets and the nature of the offensive content.
DOI: 10.57702/i8ohun9l
title: AbuseEval v1.0

description: AbuseEval v1.0 is a newly created resource that enriches the existing OLID/OffensEval dataset by annotating explicit and implicit abusive language messages.
DOI: 10.57702/762pdo0l
title: EMOTIONS

description: The EMOTIONS dataset is used for multi-label classification in the domain of music. It includes various musical pieces classified into multiple emotional categories.
DOI: 10.57702/u2qxtdhg
title: MEDICAL

description: The MEDICAL dataset contains multiple labels for various medical texts, allowing for classification according to different medical topics.
DOI: 10.57702/u0sxjihj
title: YEAST

description: The YEAST dataset consists of gene expression data annotated with multiple functional labels applicable to yeast biology studies.
DOI: 10.57702/1tne6fte
title: NIST Air Traffic Control Corpus

description: The NIST Air Traffic Control Corpus is a real-life ATC speech corpus from 3 different US airports, consisting of approximately 70 hours of recorded communications.
DOI: 10.57702/weew52y2
title: ATCOSIM Corpus

description: The ATCOSIM corpus consists of a limited amount of non-prompted clean air traffic control speech, recorded during training sessions.
DOI: 10.57702/fqsajf0x
title: Custom ASR Speech Dataset

description: A dataset containing 50+ hours of audio from Church speeches with their aligned human transcriptions, used to customize the ASR component and reduce word error rate.
DOI: 10.57702/875pq9l0
title: Church Translation Memory Dataset

description: A dataset containing hundreds of thousands to millions of sentence pairs from the Church’s extensive translation memories, utilized to optimize the MT systems.
DOI: 10.57702/2xujbt4l
title: Fuzzy Matching Performance Test Set

description: A test set containing 62 minutes of hand-annotated speech with time stamps and gold-standard labels for evaluating the performance of the fuzzy matching classifier.
DOI: 10.57702/dmimf3zy
title: London Eye

description: The London Eye dataset is a crowd-sourced image collection containing images taken from various viewpoints around the London Eye monument.
DOI: 10.57702/m9g1vh54
title: Time Square

description: The Time Square dataset includes varied images captured in the bustling environment of Time Square, New York, relevant for 3D reconstruction.
DOI: 10.57702/lyt3ec4n
title: Trafalgar

description: The Trafalgar dataset features a collection of images taken in Trafalgar Square, ideal for experiments in 3D reconstruction.
DOI: 10.57702/owx2vqft
title: Rome

description: The Rome dataset consists of images used for testing structure from motion algorithms, focusing on large-scale and urban environments.
DOI: 10.57702/3ddc1a1u
title: JParaCrawl

description: JParaCrawl is a large scale web-based English-Japanese parallel corpus used for training neural machine translation models with domain-specific data.
DOI: 10.57702/9dyf5gbv
title: Amazon Book Reviews Dataset

description: The dataset consists of 90,000 Amazon book reviews used for constructing a positive/negative review classification dataset. Positive reviews are labeled from 5-star and 4-star reviews, while negative reviews are labeled from 1-star and 2-star reviews. A subset of 10,000 reviews was randomly selected for threshold setting, and 80,000 reviews were set aside for testing.
DOI: 10.57702/1nk60ht2
title: IAE-corpus

description: A corpus of misspellings collected from free-text responses of 628 schoolchildren across Ireland, analyzed for non-word spelling errors.
DOI: 10.57702/90xhdyul
title: MultiLing 2015 Summarization Dataset

description: The dataset consists of document collections in multiple languages (English, Hebrew, and Arabic) used for extractive summarization tasks in the MultiLing 2015 contest, which challenged participants to create summaries that preserve the meaning and content of the original documents.
DOI: 10.57702/c9ednkve
title: ANIMAL10

description: The ANIMAL10 dataset includes animal images with a known noise ratio, used for real-world evaluation of methods addressing noisy labels and their robustness in classification tasks.
DOI: 10.57702/epn3wbzv
title: Telugu TechDOfication Dataset

description: The dataset consists of 68865 text documents for training, 5920 for validation, and 2611 for testing, used for Technical Domain Identification in Telugu.
DOI: 10.57702/k4uvnwbk
title: Redundancy Localization Dataset

description: The dataset contains pairs of potentially redundant passages from Wikipedia, annotated for redundancy assessment with labels indicating NOTREDUNDANT, PARTIALLYREDUNDANT, and FULLYREDUNDANT.
DOI: 10.15468/dl.3ftnnu
title: Occurrence Download

description: A dataset containing 5 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 minutimaculata (D.Fang & W.T.Wang) Yin Z.Wang)"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000105-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/26yhm98c
title: CNN/Daily Mail dataset

description: The CNN/Daily Mail dataset contains news articles and associated highlights, providing a brief overview of the articles. It is used for training and evaluation of summarization models.
DOI: 10.57702/ta2d4w7v
title: Yahoo Answers dataset

description: The Yahoo Answers dataset contains labeled examples for topic classification used to perform error analysis on a BERT-based model.
DOI: 10.57702/49n4upwa
title: SNLI corpus

description: The SNLI corpus is a collection of 570,000 English sentence pairs manually labeled with an entailment relation. The authors used 50,000 hypothesis sentences from its training portion and split them into 42,000, 4,000, and 4,000 sentences for training, development, and test sets respectively.
DOI: 10.57702/vhwu9hhv
title: New York Times Corpus

description: The New York Times corpus used demonstrates named entity evolution over a period of 20 years, capturing temporal variants of names and expressions in articles.
DOI: 10.57702/epgpxsou
title: BDLex

description: BDLex is a lexical database developed that contains lexical, phonological, and morphological information, comprising approximately 440,000 inflected forms with attributes such as spelling, pronunciation, morphosyntactic traits, canonical form, and frequency indicator.
DOI: 10.57702/j52yvkqq
title: NP-Lor

description: NP-Lor corpus consists of 3,500 proper names (family names) with their spelling, one or more phonetic transcriptions, and origin information, allowing for multiple origins for a single name.
DOI: 10.6084/m9.figshare.27901644
title: Genetpype data three bi-parental mapping populations (MP1, MP2, and MP3) of field cress (<i>Lepidium campestre</i>). Genotyping_Data_Lepidium.xlsx

description: Three bi-parental mapping populations of field cress (<i>Lepidium campestre</i>), which is targeted for domestication as a bioenergy crop, have been developed using founding parents with contrasting phenotypes for important traits. Linkage map analysis, using the genotype and phenotype data, identified Quantitative trait loci (QTLs) linked to important domestication traits such as plant height and pod shattering resistance.
DOI: 10.6084/m9.figshare.27901644.v1
title: Genetpype data three bi-parental mapping populations (MP1, MP2, and MP3) of field cress (<i>Lepidium campestre</i>). Genotyping_Data_Lepidium.xlsx

description: Three bi-parental mapping populations of field cress (<i>Lepidium campestre</i>), which is targeted for domestication as a bioenergy crop, have been developed using founding parents with contrasting phenotypes for important traits. Linkage map analysis, using the genotype and phenotype data, identified Quantitative trait loci (QTLs) linked to important domestication traits such as plant height and pod shattering resistance.
DOI: 10.57702/r4xsa9no
title: DATASET++

description: An extended dataset created by collecting hashtags used in hateful and non-hateful tweets, aimed to enhance the understanding of hate speech.
DOI: 10.57702/rdvu2buw
title: Douban.com Movie dataset

description: The dataset consists of movie data crawled from Douban.com, containing the top 250 movies with tags assigned by users. After preprocessing, it includes 1737 unique tags corresponding to 249 movies.
DOI: 10.57702/j05p9ai5
title: SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation Dataset

description: The dataset for SemEval-2021 Task 2 includes entries for a multilingual and cross-lingual word-in-context disambiguation task, with both training and testing subsets containing unique ids, target lemmas, parts of speech, sentences, and indices of target words.
DOI: 10.57702/dan1ptbq
title: CoNLL-SIGMORPHON 2017 Shared Task Training Data

description: Training data for morphologically inflecting words in various languages limited to 100 labeled examples, including expansions through synthetic data.
DOI: 10.57702/yy2olwbk
title: CoNLL-SIGMORPHON 2017 Shared Task Dataset

description: A dataset for evaluating morphological reinflection models, containing inflection data for 52 languages.
DOI: 10.57702/wc1tofn3
title: COVID-19 Informative Tweets Dataset

description: The dataset consists of tweets classified as informative or uninformative regarding COVID-19, used for training and validating models in the study.
DOI: 10.57702/iay2cgee
title: SUN 09 dataset

description: The SUN 09 dataset is a large-scale dataset full of contextual information, containing 12,000 annotated images across multiple indoor and outdoor scene categories with over 200 object categories.
DOI: 10.57702/mqh27kxn
title: E-Album

description: The E-Album dataset consists of 108 photos taken at 21 locations in 19 events, with 15 different people and 145 detected faces, used for evaluating recognition tasks.
DOI: 10.57702/zkkw066i
title: G-Album

description: The G-Album dataset contains 312 photos taken at 141 locations in 117 events with 13 different people and 441 detected faces, utilized for recognition performance evaluation.
DOI: 10.57702/2jmd5r3a
title: VP Dataset

description: The VP dataset consists of 1124 images of 8 politicians, focusing on face, gesture, and scene recognition improvements utilizing cross-domain relational models.
DOI: 10.57702/750wpkig
title: TREC Conversational Assistant Track 2019

description: The TREC CAsT 2019 dataset includes 30 training topics and 50 assessment topics. Each topic consists of a sequence of queries.
DOI: 10.57702/lft54h31
title: Headlines Dataset

description: Headlines dataset containing 750 sentence pairs.
DOI: 10.57702/n1n6fe77
title: Images Dataset

description: Images dataset containing 750 sentence pairs.
DOI: 10.57702/hd0a0itg
title: Forums Dataset

description: Forums dataset containing 375 sentence pairs.
DOI: 10.57702/hi9owybt
title: Belief Dataset

description: Belief dataset containing 375 sentence pairs.
DOI: 10.57702/nuci8gy1
title: Spoken Responses Dataset for SpeechRaterSM

description: The dataset consists of 6,000 spoken responses collected from 1,000 test takers, focusing on detecting non-scorable responses in an automated speech scoring system.
DOI: 10.57702/llwrqdd7
title: Essay Dataset for e-rater

description: The dataset from the e-rater system, which processes essays and flags responses based on various criteria including dissimilarity and uncertainty, evaluated on over 2 million candidate essays.
DOI: 10.57702/ehfeilsn
title: English Penn Treebank 3.0

description: The English Penn Treebank (PTB) is used for parsing evaluation, comprising labeled and unlabeled attachment scores for dependency parsing tasks.
DOI: 10.57702/8oe3mvom
title: Universal Dependencies v2.2

description: The Universal Dependencies (UD) treebanks are used for multilingual parsing across different languages and evaluation metrics similar to those used in PTB.
DOI: 10.57702/xljwdz11
title: Language Modeling Data for Swahili

description: This dataset contains language modeling data specifically for Swahili, used for training language models in phonetic representation.
DOI: 10.57702/vfne615l
title: ALFFA Speech Dataset

description: The ALFFA dataset includes both audio files and original text transcriptions for Swahili, utilized for automatic speech recognition.
DOI: 10.57702/6yk3krx5
title: Common Voice Kinyarwanda 6.1

description: This dataset comprises a subset of the Common Voice project, gathering Kinyarwanda audio clips for speech technology.
DOI: 10.57702/23ly815r
title: MasakhaNER

description: MasakhaNER is a dataset specifically for Named Entity Recognition tasks targeting African languages.
DOI: 10.57702/ybsxajtt
title: Indonesian Tweet Sentiment Dataset

description: A dataset of 4,000 manually labeled Indonesian tweets collected for sentiment analysis, categorized into eight labels including positive, negative, and neutral.
DOI: 10.15468/dl.xuzacq
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 (Primulina modesta (Kiew & T.H.Nguyên) Mich.Möller & A.Weber)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000106-241125135418005/datasets/export for details.
DOI: 10.57702/gk8nlgte
title: Indonesian Twitter Public Streams

description: A collection of 900,000 Indonesian tweets downloaded from Twitter's public streams used for model training and other analyses.
DOI: 10.57702/36oghds3
title: New dataset of 400 image pairs

description: A new dataset comprising 400 image pairs with manually obtained ground truth cosegmentation masks and flow maps, designed to evaluate joint cosegmentation and dense correspondence estimation methods.
DOI: 10.57702/9zzyjz7a
title: Reddy++ Dataset

description: Enhanced dataset extending the Reddy set with additional nominal compounds, with average numerical scores collected through Mechanical Turk.
DOI: 10.57702/j6ai4fv5
title: Farahmand Dataset

description: Dataset consisting of compounds extracted from Wikipedia, containing binary non-compositionality judgments by experts.
DOI: 10.57702/ktl2b7i0
title: PTT Singer Comments Dataset

description: The dataset consists of comments related to singers obtained from the PTT bulletin board system, focusing on sentiment analysis towards opinion targets in the context of music.
DOI: 10.57702/h4w7t07y
title: TMC2007 Data Set

description: Concerned about safety report categorization, labeling aviation safety reports with respect to what types of problems they describe.
DOI: 10.57702/atnkzo2r
title: Co-occurrence Network from Wikipedia Abstracts

description: A co-occurrence network built from Wikipedia abstracts to facilitate lexical access and word finding.
DOI: 10.57702/fiqfckfm
title: TED Corpus

description: The TED corpus is an English-French dataset comprised of subtitles from public speeches on various topics, serving as a training set for statistical machine translation (SMT).
DOI: 10.57702/ddwdeolj
title: Who Did What

description: The Who Did What (WDW) dataset is constructed from the LDC English Gigaword corpus and focuses on cloze-style queries. The dataset has two versions: a smaller 'strict' version and a larger 'relaxed' version.
DOI: 10.15468/dl.qz9d2w
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gamochaeta oreophila M.O.Dillon & Sagást."
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000107-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/b2y35ekx
title: Hate Speech Dataset

description: The dataset contains tweets annotated for hate speech towards women and immigrants in multiple languages, specifically English, Spanish, and Italian.
DOI: 10.57702/fq0xv4d6
title: Universal Dependencies (UD) Dataset

description: A dependency parsing corpus used to provide syntactic information for language models, aiding cross-lingual knowledge transfer.
DOI: 10.57702/9ghnfrgg
title: Named Entity Recognition (NER) Dataset

description: NER dataset covering named entity recognition tasks across multiple languages, aiding in the identification of entities in hate speech detection tasks.
DOI: 10.57702/xwmc8ckw
title: Vader Sentiment Analysis Corpus

description: The Vader corpus contains tweets that have been independently annotated by human raters with sentiment ratings ranging from -4 to 4, which were later discretized for compatibility with the classification task.
DOI: 10.57702/kctc0u62
title: Visual Genome Dataset

description: The Visual Genome dataset connects language and vision using crowdsourced dense image annotations, which is beneficial for model pre-training and evaluations.
DOI: 10.15468/dl.5j9jhe
title: Occurrence Download

description: A dataset containing 650304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhabdomys pumilio (Sparrman, 1784), Rhynchomys soricoides Thomas, 1895, Salpingotus crassicauda Vinogradov, 1924, Sciurus carolinensis Gmelin, 1788, Sciurus niger Linnaeus, 1758, Sigmodon hispidus Say & Ord, 1825, Spermophilus citellus (Linnaeus, 1766), Spermophilus dauricus Brandt, 1843, Thomomys bottae (Eydoux & Gervais, 1836))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 650304 records from 310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000064-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/1tjmdggp
title: K&K Parser Dataset

description: The K&K parser is a state-of-the-art tree-based parser that utilizes the PTB graphs converted into PTB augmented trees as its training and evaluation dataset.
DOI: 10.57702/3wc3w31b
title: COVID-19 Concept Wikiﬁcation Dataset

description: A large labeled dataset for training concept wikiﬁers related to COVID-19, constructed by mining Wikipedia text and intra-Wikipedia links.
DOI: 10.57702/3r4v0krz
title: Common Systems Dataset

description: The common systems dataset consists of systems that participated in both the 2013 and 2014 Knowledge Base Population English Slot Filling competitions, allowing for comparative analysis of their performance.
DOI: 10.57702/6ku41buf
title: All 2014 SFV Systems Dataset

description: The all 2014 SFV systems dataset includes all runs from 17 teams that participated in the 2014 Slot Filler Validation task, utilized for comparing ensemble methods and evaluating system performance.
DOI: 10.15468/dl.pxh5vw
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "Elevation 0-200m",
 {
 "and" : [
 "Year is greater than or equal to 2014"
 ]
 },
 "GadmGid is one of (COL.12.25_2)",
 "TaxonKey is one of (Crocodylia, Testudines, Squamata)"
 ]
 }
 ]
}

 The dataset includes 190 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000109-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.