cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pwdhsm
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ESP.6_1",
 "TaxonKey is Macromia splendens (Pictet, 1843)"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000090-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/d41jv8ba
title: CoAuthor

description: The CoAuthor dataset is a co-authorship network among authors, focusing on collaborative relationships within specific academic disciplines.
DOI: 10.57702/iv7pxg39
title: YouTube

description: YouTube is a social interaction network among users of the YouTube platform, where the dataset includes genres of videos as labels for community detection.
DOI: 10.15468/dl.9mjqxk
title: Occurrence Download

description: A dataset containing 4087 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Trollius asiaticus L."
 ]
}

 The dataset includes 4087 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000087-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/xse6vchg
title: CACD

description: The CACD dataset is collected by crawling the web using 2,000 celebrities names for a total of 163,446 images, featuring age ranges from 14 to 62 with an age gap up to 10 years.
DOI: 10.15468/dl.apsrae
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Podocarpus falcatus A.Cunn. ex Parl., 1868"
 ]
}

 The dataset includes 27 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000089-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/0dwmhp7r
title: Large Age-Gap (LAG)

description: The Large Age-Gap (LAG) dataset comprises 3,828 images of 1,010 celebrities, containing age variations in the wild from child to adult and old age.
DOI: 10.57702/7v47vitb
title: BIWI Dataset

description: The BIWI dataset is used for skeleton-based person re-identification featuring dynamic skeleton data.
DOI: 10.57702/5pdli2g0
title: IAS-Lab Dataset

description: The IAS-Lab dataset involves a full training set and two test splits for person re-identification with skeleton data.
DOI: 10.57702/g471kcyq
title: KS20 Dataset

description: The KS20 dataset evaluates multi-view person re-identification performance using skeleton sequences.
DOI: 10.57702/l5wcqb7i
title: Kinect Gait Biometry Dataset (KGBD)

description: The KGBD dataset is utilized for person re-identification with an approach that explores 3D gait.
DOI: 10.57702/20ku2ztf
title: Lung Squamous Cell Carcinoma Gene Expression Dataset

description: The harmonized gene expression dataset for Lung Squamous Cell Carcinoma, used to predict tumor stage based on gene expression profiles.
DOI: 10.57702/n7pogkkh
title: Kidney Renal Clear Cell Carcinoma Gene Expression Dataset

description: The harmonized gene expression dataset for Kidney Renal Clear Cell Carcinoma, utilized for predicting tumor stage based on gene expression profiles.
DOI: 10.57702/do5d387k
title: CASME II (Chinese Academy of Sciences Micro-Expression II)

description: CASME II is an improved version of CASME, containing spontaneous micro-expressions from subjects labeled based on facial Action Units (AUs), participants' self-reports, and the content of the stimuli video.
DOI: 10.57702/imjhvila
title: Ohsumed

description: Ohsumed is a multi-label text classification dataset extracted from the MEDLINE database, which includes abstracts from medical papers classified into 23 categories.
DOI: 10.57702/136440b8
title: Random mCVRP Instances

description: The dataset consists of random instances of the min-max capacitated multi vehicle routing problem (mCVRP) generated for evaluation of the proposed reinforcement learning method. The instances vary in the number of vehicles, customers, and refueling stations, all randomly placed in a grid environment.
DOI: 10.57702/hbqnymz3
title: mTSP and CVRP Benchmark Datasets

description: Benchmark datasets from the mTSP and CVRP libraries used for validating the generalization capabilities of the model trained on random mCVRP instances. These datasets include well-known benchmark problems with varying complexities.
DOI: 10.57702/ttf7e6dq
title: UNSW-NB15

description: UNSW-NB15 is a comprehensive data set for network intrusion detection systems, consisting of various attack classes and normal data.
DOI: 10.57702/o7w09onf
title: NREL

description: The NREL dataset registers solar power output from 137 photovoltaic power plants in Alabama state during 2006.
DOI: 10.57702/k555tcb5
title: USHCN

description: The USHCN dataset contains monthly precipitation data from 1218 locations spanning from 1899 to 2019.
DOI: 10.57702/6d5z9pt2
title: SeData

description: The SeData dataset contains traffic speed data collected from 323 loop detectors in the Seattle highway network.
DOI: 10.57702/2i9gxga1
title: Electricity Dataset

description: The electricity dataset consists of hourly electricity consumption records from 321 clients, merged to create daily interval time series with 1096 data points.
DOI: 10.57702/kokdhm29
title: Amazon Photo

description: Amazon Photo is similar to Amazon Computer, representing another segment of the Amazon co-purchase graph with products as nodes and product reviews providing features.
DOI: 10.57702/elfe79dq
title: MNIST Database of Handwritten Digit Images

description: The MNIST database consists of handwritten digit images for machine learning research, providing 60,000 training samples and 10,000 testing samples of 28x28 grayscale images across 10 classes.
DOI: 10.57702/gtucyg4r
title: Berkeley Aging Cohort Study Dataset

description: The Berkeley Aging Cohort Study (BACS) dataset includes neuroimaging data and demographic information related to Alzheimer's disease (AD) and normal aging, with 111 controls and 29 cases, containing resting-state functional magnetic resonance imaging (rs-fMRI) data and Pittsburgh compound-B positron emission tomography (PIB-PET) imaging.
DOI: 10.57702/5xloo6lc
title: First-Person Hand Action

description: The First-Person Hand Action (FPHA) dataset includes 1175 skeletons belonging to 45 action categories performed by different individuals, providing detailed representations for hand actions in various scenarios.
DOI: 10.57702/p3u1jt4r
title: Dataset of Alexa Kid Skills and Conversations

description: A dataset of Alexa skills analyzed for risky content targeted towards children, consisting of 3,434 apps with 31,966 non-overlapping conversations identified over multiple interactions.
DOI: 10.57702/oy72ld2o
title: Confounding Utterances Dataset

description: A dataset of confounding utterances shared across Alexa skills, totaling 4,487 utterances from skills with potentially inappropriate responses.
DOI: 10.15468/dl.megp75
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 macrorhiza (D.Fang & D.H.Qin) Mich.Möller & A.Weber)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000093-241125135418005/datasets/export for details.
DOI: 10.57702/cwjs2y2g
title: COIL-RAG

description: The COIL-RAG dataset is used for graph classification tasks, containing various classes of graphs for evaluation.
DOI: 10.57702/n8pfc5wu
title: I2AwA

description: I2AwA is a dataset for open domain recognition, consisting of images of 50 animal classes, where 40 classes are known and 10 classes are unknown.
DOI: 10.57702/73ub6cj8
title: I2WebV

description: I2WebV is a large-scale dataset designed for open domain recognition, consisting of a substantial number of images across 5,000 classes, with significant domain discrepancy from the source domain.
DOI: 10.57702/qhvft4nx
title: MIMIC-III Clinical Database

description: A large corpus consisting of open access papers from PubMed, free text admission and discharge notes from the MIMIC-III Clinical Database, narratives from the FDA Adverse Event Reporting System (FAERS), and a part of the 2010 Relations Challenge from i2b2.
DOI: 10.14278/rodare.3279
title: Robust Computation and Analysis of Vibrational Spectra of Layered Framework Materials Including Host-Guest Interactions

description: The dataset contains supplementary material for the journal article "Robust Computation and Analysis of Vibrational Spectra of Layered Framework Materials Including Host-Guest Interactions".
DOI: 10.14278/rodare.3278
title: Robust Computation and Analysis of Vibrational Spectra of Layered Framework Materials Including Host-Guest Interactions

description: The dataset contains supplementary material for the journal article "Robust Computation and Analysis of Vibrational Spectra of Layered Framework Materials Including Host-Guest Interactions".
DOI: 10.57702/4std2xnx
title: WMT19 Parallel and Monolingual Data

description: The dataset used includes document-level parallel data with and without boundaries, along with monolingual news crawl data containing document boundaries for training document-level neural machine translation systems.
DOI: 10.57702/dc0276a2
title: LAPTOP

description: The LAPTOP dataset contains user reviews with aspect sentiment annotations, originally part of the SemEval ABSA challenges.
DOI: 10.57702/ufwaz5o5
title: Multi-label Sexism Categorization Dataset

description: The dataset consists of 13023 accounts of sexism drawn from the Everyday Sexism Project website, annotated with one or more of 23 categories of sexism, aimed at enabling multi-label categorization of sexist accounts.
DOI: 10.57702/yp88r84k
title: WMT19 Quality Estimation Dataset

description: The dataset consists of parallel data used for the WMT19 quality estimation task, including English-Russian and English-German language pairs.
DOI: 10.57702/qv7229g3
title: CoNLL 2014 GEC Dataset

description: The CoNLL 2014 shared task on GEC used a dataset of English essays written by advanced undergraduate students, annotated with errors using a different error taxonomy.
DOI: 10.57702/48zlqm0g
title: JFLEG Dataset

description: The JHU FLuency-Extended GUG Corpus (JFLEG) dataset consists of essays written by various English learners, corrected by annotators, annotated with fluency and grammar edits.
DOI: 10.57702/im9y2r8c
title: Cambridge English Write & Improve (W&I) Corpus

description: The Cambridge English Write & Improve (W&I) corpus is a collection of texts written by learners of English of varying proficiency levels used for assessment.
DOI: 10.15468/dl.e449nb
title: Occurrence Download

description: A dataset containing 73706 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eulophia R.Br."
 ]
}

 The dataset includes 73706 records from 530 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000084-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/dhshf6ok
title: IWSLT14 German-to-English dataset

description: The IWSLT14 German-to-English (De-En) dataset contains sentence pairs specifically for machine translation tasks, with a focus on evaluating the performance of models like the Post-LN and Pre-LN Transformers.
DOI: 10.57702/wi3sy28l
title: WMT14 English-to-German dataset

description: The WMT14 English-to-German (En-De) dataset is utilized for evaluating the translation capabilities of Transformer models in the context of machine translation tasks.
DOI: 10.57702/y6ojlv9c
title: BERT pre-training dataset

description: The BERT dataset is a combination of the English Wikipedia corpus and BookCorpus used for unsupervised pre-training of language models, emphasizing the use of the Pre-LN and Post-LN architectures.
DOI: 10.57702/43vbhn8x
title: Adversarial Dataset by McCoy et al.

description: The dataset consists of examples generated from manually created templates that break syntactic heuristics.
DOI: 10.57702/qpz0gkf6
title: Glockner et al. (2018) NLI Dataset

description: This dataset is created by modifying SNLI examples with single word replacements of different lexical relations based on WordNet.
DOI: 10.57702/cv42rxzi
title: Naik et al. (2018) Stress Test Dataset

description: This dataset is composed of a variety of tests motivated by a manual examination and categorization of mistakes made by the best performing model at the time.
DOI: 10.57702/d5hs7ljl
title: Gururangan et al. (2018) NLI Artifact Dataset

description: Annotated artifacts identified in NLI datasets, suggesting that models learn features that do not relate to language understanding.
DOI: 10.57702/32hrald8
title: Ontonotes 5.0

description: The Ontonotes 5.0 dataset provides a framework for coreference resolution and semantic role labeling.
DOI: 10.57702/hux1p1ak
title: TAC Relation Classification Dataset

description: The TAC relation classification dataset is utilized for identifying relations between entities in text.
DOI: 10.15468/dl.dzp3x9
title: Occurrence Download

description: A dataset containing 12749440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Brazil",
 "Geometry POLYGON((-62.20511 -24.47893,-29.79489 -24.47893,-29.79489 -11.52107,-62.20511 -11.52107,-62.20511 -24.47893))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 12749440 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000072-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/m6lu84dp
title: Relation Extraction (QA-RE)

description: Relation Extraction in QA format is a dataset designed for extracting relationships between entities based on questions and answers.
DOI: 10.57702/nkz0e8e9
title: CoNLL'03

description: The CoNLL’03 NER dataset includes named entity recognition annotations for a variety of text sources, commonly used in evaluation.
DOI: 10.57702/i1urb8hc
title: PropBank

description: The PropBank corpus is an annotated corpus for semantic roles, which outlines various arguments and their roles in sentences.
DOI: 10.57702/vlqwd7c1
title: Microsoft Research Paraphrase Corpus (MRPC)

description: The Microsoft Research Paraphrase Corpus (MRPC) is used for evaluating the effectiveness of the proposed word recognition model in paraphrase detection.
DOI: 10.57702/12n3aqpi
title: Multilingual Culture-Independent Word Analogy Datasets

description: A collection of word analogy datasets for nine languages designed to evaluate the quality of text embeddings in both monolingual and cross-lingual settings.
DOI: 10.57702/0hrcroqg
title: OntoNotes 4.0

description: OntoNotes 4.0 is a Chinese NER dataset, which is often used as part of research in named entity recognition tasks.
DOI: 10.57702/9ohb32z6
title: Resume

description: The Resume dataset is specifically annotated for name entity recognition in resumes.
DOI: 10.57702/1su6a6bq
title: CoNLL 2000

description: The CoNLL 2000 shared task dataset is used for chunking tasks.
DOI: 10.57702/l0ismamg
title: Coronary Angiography Texts Dataset

description: The dataset consists of coronary angiography texts collected from Shuguang Hospital, containing annotated named entities and relations for the purpose of entity and relation extraction.
DOI: 10.57702/shwwumnx
title: Spritzer Twitter Stream Archive (October 2018)

description: The Spritzer Twitter stream archive dataset from October 2018 was processed to train word embeddings applied for Named Entity Recognition tasks.
DOI: 10.57702/n56yh9pz
title: WMT19 official English-German APE dataset

description: The WMT19 official English-German APE dataset consists of sentence triplets used for Automatic Post-Editing tasks.
DOI: 10.57702/y2de3asa
title: eSCAPE-NMT dataset

description: The eSCAPE-NMT dataset is a large-scale synthetic corpus designed for training neural machine translation models and includes numerous sentence triplets for APE.
DOI: 10.57702/wr0mp2g9
title: MSRA10k

description: MSRA10k dataset is the largest publicly available saliency detection dataset, containing 10,000 annotated saliency images used to obtain the clue for object saliency.
DOI: 10.57702/h5eyigh4
title: OpenSubtitles 2016

description: The OpenSubtitles dataset is a large parallel corpus extracted from movie and TV subtitles, which consists of dialogues segmented into turns.
DOI: 10.57702/aul19jtn
title: Filtered OpenSubtitles

description: The filtered OpenSubtitles (fOST) dataset is derived from OpenSubtitles by applying a coherence score filter to ensure higher quality and topically coherent dialogues.
DOI: 10.57702/c9wiqohj
title: WMT’14 English-German dataset

description: The WMT’14 English-German dataset is used for machine translation, specifically to evaluate the performance of non-autoregressive models compared to autoregressive baselines.
DOI: 10.57702/q03yjaq7
title: BC2GM, JNLPBA, CHEMDNER Corpora

description: Named entity recognition corpora: BC2GM is a corpus for gene mentions, JNLPBA for a variety of biological entities, and CHEMDNER for drugs and chemicals, used for evaluating performance in NER tasks.
DOI: 10.57702/qn3m9zgm
title: UMNSRS Dataset

description: The UMNSRS dataset includes a manually curated reference list covering disorders, symptoms, and drugs for intrinsic evaluation of word embeddings.
DOI: 10.57702/14o5m25y
title: IWSLT2017 and WMT17 datasets

description: The IWSLT2017 training, validation, and test sets contain approximately 160K, 7.3K, and 6.7K sentence pairs, respectively. The WMT17 corpus contains approximately 5.9M sentence pairs.
DOI: 10.57702/orvrxfla
title: Propaganda Techniques Corpus (PTC)

description: The Propaganda Techniques Corpus (PTC) consists of training, development, and test sets for automatic propaganda detection, annotated with specific propagandistic fragments in news articles.
DOI: 10.15468/dl.xans8m
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 maculata W.B.Xu & J.Guo)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000094-241125135418005/datasets/export for details.
DOI: 10.57702/id692vru
title: CNN/DailyMail Dataset

description: The CNN/DailyMail dataset consists of news articles and their associated summaries, used for training models on abstractive summarization.
DOI: 10.57702/zh45mkde
title: Stanford Question Answering Dataset (SQuAD)

description: The Stanford Question Answering Dataset (SQuAD) consists of questions about a set of Wikipedia articles, where the answer to each question can be directly extracted from the text.
DOI: 10.57702/rxt4lqbk
title: Conversational Question Answering Challenge (CoQA)

description: The CoQA (Conversational Question Answering) dataset contains questions based on conversational history and the relevant passages, designed for evaluating models' understanding of conversational contexts.
DOI: 10.57702/n956tykg
title: DSTC7 Shared Task Dataset

description: The DSTC7 dataset is provided for document-grounded dialog response generation, containing multi-turn conversations and web documents as context.
DOI: 10.57702/qa0itkh1
title: English-Wiki Data

description: The dataset is utilized for UCCA semantic graph parsing, specifically working with English, German, and French language sentences to facilitate the parsing tasks in the SemEval 2019 competition.
DOI: 10.57702/em43qspa
title: German-20K Data

description: The dataset includes 20K examples of English and German sentences for UCCA parsing tasks, specifically designed for closed and open tracks in SemEval 2019.
DOI: 10.57702/9fa9ywsr
title: French-20K Data

description: The dataset consists of limited French training data for cross-lingual UCCA parsing which utilizes English and German training data to enhance performance.
DOI: 10.57702/43prwh1m
title: Training Data for Portuguese-Spanish Machine Translation

description: The training data consists of multiple corpora used for developing the Portuguese ↔ Spanish machine translation systems, specifically designed for the WMT 2019 Similar Language Translation task.
DOI: 10.57702/6wxtq0gk
title: SemEval 2019 Task 5 Hate Speech Dataset

description: The dataset contains tweets that have been labeled for hate speech detection against immigrants and women, providing binary classification labels for whether or not the content qualifies as hate speech.
DOI: 10.57702/nsn1chw6
title: VisDial v1.0

description: The VisDial v1.0 dataset comprises dialogues consisting of 10 question-answer pairs about an image, designed for visual dialog tasks.
DOI: 10.57702/bp2ytqwj
title: VQA v2.0 dataset

description: The VQA dataset aims to answer a natural language question related to an image. It contains an average of 5.4 questions per image, totaling 1.1M questions.
DOI: 10.57702/czms59ed
title: NLVR2 dataset

description: NLVR2 is a complex visual reasoning dataset composed of two-image pairs and one language statement to predict whether the statement describes the two images correctly.
DOI: 10.57702/baw91w0u
title: WMT'14 English-German translation dataset

description: The dataset consists of 4.5M parallel sentence pairs used for machine translation tasks between English and German.
DOI: 10.15468/dl.xju2tz
title: Occurrence Download

description: A dataset containing 12965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Elephas maximus Linnaeus, 1758, Trollius asiaticus L.)"
 ]
}

 The dataset includes 12965 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000095-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13319106
title: Jori et al, 1998

description: Jori, F., Lopez-béjar, M. & Houben, P. The biology and use of the African brush-tailed porcupine (Atherurus africanus, Gray, 1842)as a food animal. A review. Biodiversity and Conservation 7, 1417–1426 (1998). https://doi.org/10.1023/A:1008853113835
DOI: 10.5281/zenodo.13319388
title: Picciani et al, 2018

description: Natasha Picciani, Jamie R. Kerlin, Noemie Sierra, Andrew J.M. Swafford, M. Desmond Ramirez, Nickellaus G. Roberts, Johanna T. Cannon, Marymegan Daly, Todd H. Oakley. 2018. Prolific Origination of Eyes in Cnidaria with Co-option of Non-visual Opsins. Current Biology, VOLUME 28, ISSUE 15, P2413-2419.E4. https://doi.org/10.1016/j.cub.2018.05.055
DOI: 10.5281/zenodo.13319573
title: Schmitz and Motani, 2011

description: Schmitz L, Motani R. 2011 Nocturnality in dinosaurs inferred from scleral ring and orbit morphology. Science 332, 705–708. (doi: 10.1126/science.1200043)
DOI: 10.5281/zenodo.13319574
title: Schmitz and Motani, 2011

description: Schmitz L, Motani R. 2011 Nocturnality in dinosaurs inferred from scleral ring and orbit morphology. Science 332, 705–708. (doi: 10.1126/science.1200043)