cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/06o7yaum
title: ClueWeb09-B

description: ClueWeb includes documents from ClueWeb09-B and queries from the TREC Web Track ad hoc retrieval task 2009-2012. The dataset consists of 200 queries with relevance judgements provided by TREC.
DOI: 10.57702/2ug9pqsp
title: EmoContext Dataset

description: The EmoContext task dataset consists of conversations extracted from social media, intended for emotion detection, annotated with four main emotions: Happy, Sad, Angry, and 'Other'.
DOI: 10.57702/jf3dlv7r
title: CMU-MOSI

description: CMU-MOSI (CMU Multimodal Opinion Sentiment Intensity) is a dataset of multimodal language focused on multimodal sentiment analysis, containing 2199 video segments from 93 Youtube movie review videos.
DOI: 10.57702/u3e34wi0
title: CMU-MOSEI

description: CMU-MOSEI is a dataset for multimodal sentiment analysis with sentiment annotations at the sentence level, featuring a blend of audio-visual and textual data.
DOI: 10.57702/e00tfwvv
title: SEARCHQA

description: SEARCHQA is a dataset designed for reading comprehension, containing trivia questions and web snippets retrieved through Google.
DOI: 10.57702/xox7n66t
title: CQ

description: CQ (Complex Questions) consists of complex queries from Google and is designed for answering questions from a knowledge base.
DOI: 10.57702/upmi9hd6
title: CWQ

description: CWQ (Complex Web Questions) is a dataset involving complex web-based questions requiring multiple steps to answer.
DOI: 10.57702/4ojkh733
title: WIKIHOP

description: WIKIHOP is a dataset constructed to require multi-hop reasoning over multiple Wikipedia paragraphs while answering entity-relation questions.
DOI: 10.57702/7pw2umox
title: English Web Treebank

description: The English Web Treebank is part of the Universal Dependencies framework and serves as a syntactically and semantically annotated corpus for training and evaluating dependency parsers.
DOI: 10.57702/cn0v39kr
title: FQuAD: French Question Answering Dataset

description: The French Question Answering Dataset (FQuAD) is a native Reading Comprehension dataset comprising questions and answers extracted from Wikipedia articles. It aims to provide a resource for training and evaluating French language models in the Reading Comprehension task.
DOI: 10.57702/f47hrary
title: AIDA-CoNLL

description: The AIDA-CoNLL dataset consists of annotated entities in a large corpus for named entity disambiguation tasks.
DOI: 10.57702/4gjwhxt6
title: MSNBC

description: The MSNBC dataset is used for evaluating named entity disambiguation performance.
DOI: 10.57702/4z42bf69
title: AQUAINT

description: The AQUAINT dataset is used for evaluating named entity disambiguation performance.
DOI: 10.57702/5ia2ssgp
title: ACE2004

description: The ACE2004 dataset is used for various information extraction tasks including entity recognition and disambiguation.
DOI: 10.57702/ls4itie9
title: WNED-WIKI

description: The WNED-WIKI dataset is designed for evaluating entity disambiguation systems.
DOI: 10.57702/dsa8ypkc
title: WNED-CWEB

description: The WNED-CWEB dataset is a benchmark for named entity disambiguation.
DOI: 10.57702/bqmn9yt4
title: QAMR

description: The QAMR dataset captures a broad range of questions and answers that relate to predicate-argument structures, focusing on implicit arguments and inferred relations not captured by traditional symbolic representations.
DOI: 10.57702/s24e1ke2
title: Large QA-SRL

description: Large QA-SRL dataset is a large-scale dataset designed for semantic role labeling, capturing a diverse set of question-answer pairs that are representative of predicate-argument relationships.
DOI: 10.57702/incs83oi
title: QA-RE

description: QA-RE is a dataset that formats relation extraction as question-answer pairs, allowing research on how to leverage QA data for extracting relational information.
DOI: 10.57702/qmp1qhhd
title: NewsQA

description: NewsQA is a machine comprehension dataset featuring questions and answers derived from news articles, aimed at developing models that can understand and reason about the content.
DOI: 10.15468/dl.skc6jr
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 phuongii T.V.Do)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000066-241125135418005/datasets/export for details.
DOI: 10.57702/fhsqf8l8
title: Stanford Sentiment Treebank (SST)

description: The Stanford Sentiment Treebank (SST) dataset contains 8544 movie reviews used for evaluating the spell correctors focusing on sentiment classification tasks.
DOI: 10.57702/o55vtnvs
title: IMDB Movie Reviews

description: The IMDB dataset consists of 54000 movie reviews intended as a background corpus for evaluating spell correction models, containing a larger vocabulary for robust word recognition.
DOI: 10.15468/dl.zv84zn
title: Occurrence Download

description: A dataset containing 7 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 lutea (Yan Liu & Y.G.Wei) Mich.Möller & A.Weber)"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000068-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/wvohsvlf
title: Weibo

description: Weibo NER was built based on text in Chinese social media, containing various types of named entities.
DOI: 10.15468/dl.64g475
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((132.37553 -3.47878,134.72119 -2.33275,134.63407 -1.0728,130.26443 -0.7243,129.15191 -1.61565,131.06866 -2.76838,132.37553 -3.47878))",
 "Geometry POLYGON((135.37413 -1.72851,134.81288 -0.43883,129.92884 -0.21195,129.23624 -2.5047,130.97968 -3.67496,133.3202 -4.28398,134.40687 -4.41533,135.37413 -1.72851))"
 ]
 },
 "TaxonKey is Aepypodius arfakianus (Salvadori, 1877)"
 ]
}

 The dataset includes 65 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000065-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/nuiwfkj7
title: MSRA

description: MSRA dataset comes from the news domain and is widely used for Chinese Named Entity Recognition.
DOI: 10.57702/tt0ge8fu
title: ACE Entities/Events

description: The ACE 2005 dataset consists of annotated documents for event and entity detection, with a focus on various domains including newswire and blogs.
DOI: 10.57702/luecqiyd
title: Universal Dependencies v. 1.3

description: This dataset contains part-of-speech tags for English, derived from the first 500 sentences of the Universal Dependencies corpus, reducing the training set to increase difficulty.
DOI: 10.57702/6q557rq2
title: CoNLL 2000 chunking dataset

description: The CoNLL 2000 shared task dataset is used for chunking tasks in natural language processing.
DOI: 10.57702/z056veor
title: CoNLL 2003 NER dataset

description: The CoNLL 2003 shared task dataset is focused on named entity recognition tasks.
DOI: 10.15468/dl.3g5wd2
title: Occurrence Download

description: A dataset containing 2951 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Achatina Lamarck, 1799"
 ]
}

 The dataset includes 2951 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000069-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73uvxk
title: Occurrence Download

description: A dataset containing 599 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",
 "TaxonKey is Scytalopus novacapitalis Sick, 1958"
 ]
}

 The dataset includes 599 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000067-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/fqty12oj
title: GENIA NER

description: The GENIA NER dataset consists of annotated Medline abstracts that contain information on biological entities such as proteins and genes, used for named entity recognition in biomedical texts.
DOI: 10.57702/zwvn3603
title: WNUT16 NER

description: WNUT16 is a shared task dataset for named entity recognition over Twitter, consisting of annotated tweets used for identifying named entities in informal digital text.
DOI: 10.57702/87zu89yl
title: Stanford Sentiment Treebank (SST-5)

description: The SST-5 dataset is a sentiment analysis dataset consisting of movie reviews with five labels for sentiment classification.
DOI: 10.57702/xs550e7p
title: Stanford Natural Language Inference Corpus (SNLI)

description: The Stanford Natural Language Inference Corpus (SNLI) dataset is used for natural language inference tasks.
DOI: 10.57702/rkwj9dgg
title: Coronary Arteriography Reports

description: The dataset consists of coronary arteriography reports collected from Shuguang Hospital, including five types of entities and five relations relevant to medical text processing.
DOI: 10.57702/jnmct70t
title: First Certificate in English (FCE) corpus

description: The FCE corpus is used for grammatical error correction tasks, containing sentences written by learners along with annotations for erroneous structures.
DOI: 10.57702/tl4ecc6w
title: Lang-8 learner corpus

description: The Lang-8 learner corpus consists of sentences written by learners of English, providing a rich source for analyzing grammatical errors.
DOI: 10.57702/k7cg8cjh
title: National University of Singapore Corpus of Learner English (NUCLE)

description: The NUCLE corpus is a collection of essays written by learners of English that includes grammatical annotations for various error types.
DOI: 10.57702/9htc8dk0
title: Write & Improve (W&I)+LOCNESS corpus

description: The W&I+LOCNESS corpus combines data from the Write & Improve platform and the LOCNESS corpus, which contains learner essays with annotations for GEC.
DOI: 10.57702/zaykk0hv
title: WMT19 English-German APE Dataset

description: The WMT19 English-German APE dataset consists of a training and development set used for Automatic Post-Editing tasks.
DOI: 10.57702/d3xzq05f
title: eSCAPE-NMT

description: The eSCAPE-NMT dataset comprises a large-scale synthetic corpus designed for training and fine-tuning models in Automatic Post-Editing.
DOI: 10.57702/zl7j1reg
title: SemEval-2010 (Task 8)

description: The SemEval-2010 dataset contains 10,674 samples, of which 1,325 are causal sentences annotated with a pair of entities and the type of their relationship, focused on multi-way classification of semantic relations between pairs of nominals.
DOI: 10.57702/mwzuo0n2
title: Causal-TimeBank (CausalTB)

description: CausalTB comprises 2,470 sentences, of which 244 are identified as causal. It was created using causal signal and causal link tags, focusing on extracting causal sentences from texts.
DOI: 10.57702/uw15xw89
title: Event StoryLine (EventSL)

description: EventSL dataset contains 4,107 sentences, of which 77 are causal. Causal sentences are identified by examining specific attributes in plot link tags.
DOI: 10.57702/ow65uimv
title: BioCausal

description: The BioCausal dataset is a biomedical causal detection dataset comprising 13,342 sentences from PUBMED, where 7,562 are causal. A publicly available subset contains 2,000 sentences with 1,113 causal.
DOI: 10.57702/j3qg1v7y
title: RACE

description: The RACE dataset comprises reading comprehension questions based on passages extracted from English examinations.
DOI: 10.57702/bssstik7
title: WMT English-German Translation Dataset

description: WMT English-German is a translation dataset used for training and evaluating translation models.
DOI: 10.57702/buhc61ev
title: CMUDict 0.7b

description: The CMUDict 0.7b dataset is a publicly available corpus used for training and testing grapheme-to-phoneme conversion models, consisting of 108,952 training words, 5,447 validation words, and 12,855 test words. The phoneme vocabulary size is 39.
DOI: 10.57702/ozsfqifk
title: Internal English Dataset

description: An internal dataset containing 184,243 training words, 10,837 validation words, and 21,678 test words, which includes uppercase and lowercase letters and stress markings.
DOI: 10.57702/1doval8j
title: Unlabeled Source Words Dataset

description: Unlabeled words crawled from the web, used for knowledge distillation in G2P conversion tasks.
DOI: 10.57702/w24z4xar
title: AG’s News

description: The AG’s News dataset is a topic classification dataset containing news articles categorized into different topics.
DOI: 10.57702/f6xbddsw
title: Sogou News

description: The Sogou News dataset consists of Chinese news articles categorized into several topics.
DOI: 10.57702/eqk985vb
title: IWSLT2017

description: The IWSLT2017 dataset consists of parallel German-English sentence pairs used for the neural machine translation evaluation, featuring approximately 160K training, 7.3K validation, and 6.7K test pairs.
DOI: 10.57702/kfnfb5yz
title: WMT17

description: The WMT17 dataset comprises parallel German-English sentences, featuring 5.9M training pairs, and used for the neural machine translation task with newstest2013 as the validation set and newstest2014 and newstest2017 as test sets.
DOI: 10.15468/dl.3xzxp4
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 lutescens B.Pan & H.S.Ma)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000070-241125135418005/datasets/export for details.
DOI: 10.57702/6a6iqh67
title: MLDoc

description: The MLDoc corpus is a multilingual document classification dataset that consists of a 4-class classification problem based on a class-balanced subset of the Reuters News RCV1 and RCV2 datasets.
DOI: 10.57702/wzqbd2qx
title: CoNLL 2002/2003 NER

description: The CoNLL 2002/2003 NER corpus is a standard dataset for named entity recognition, providing annotated data for various languages.
DOI: 10.57702/1we323um
title: VQGCOCO

description: VQGCOCO is a dataset consisting of 2500 training images, 1250 validation images, and 1250 test images from MS COCO, each with 5 corresponding questions and 5 ground-truth captions.
DOI: 10.57702/2fdew3my
title: VQA1.0

description: VQA1.0 is a dataset used to derive VQG data, consisting of 82783 training images, 40504 validation images, and 81434 testing images, where each image has 3 associated questions.
DOI: 10.57702/n0tc47kd
title: Propaganda Techniques Corpus

description: The Propaganda Techniques Corpus (PTC) is a dataset consisting of news articles with sentences annotated for the presence of specific propaganda techniques, aimed at binary classification tasks and fragment-level classifications.
DOI: 10.57702/qmbcmnf5
title: CASP12 ProteinNet dataset

description: The CASP12 ProteinNet dataset consists of around 50,000 protein structures used to evaluate models for protein structure prediction, specifically in the context of free modeling and template-based modeling challenges.
DOI: 10.57702/qibtf3g6
title: NIST Chinese-English Translation Dataset

description: The training data for ZH-EN task consists of 1.8M sentence pairs. The development set is chosen as NIST02 and test sets are NIST05, 06, 08.
DOI: 10.57702/pulynyxi
title: German-English Translation Dataset

description: The training data for the DE-EN task consists of 4.6M sentence pairs.
DOI: 10.57702/yabkfmcs
title: French-English Translation Dataset

description: For FR-EN tasks, it contains around 0.2M sentence pairs.
DOI: 10.57702/5iqv2spq
title: ASPEC

description: The ASPEC dataset is a collection of scientific papers used for neural machine translation tasks between English and Japanese, providing parallel corpora for model training and evaluation.
DOI: 10.57702/71w92nu4
title: SQuAD 1.1

description: The SQuAD 1.1 dataset serves as a preliminary dataset for generating questions from provided answer spans.
DOI: 10.57702/6mm458vk
title: English-Wiki

description: The English-Wiki dataset is used for training and evaluation of the UCCA semantic parsing model, consisting of syntactic and semantic structures in the English language.
DOI: 10.57702/lnbu53p0
title: German-20K

description: The German-20K dataset is utilized for training and evaluating the model's performance on semantic parsing tasks in the German language.
DOI: 10.57702/nhykorhn
title: French-20K

description: The French-20K dataset is used for cross-lingual evaluation of the semantic parsing approach, where training data from English and German is leveraged due to limited French data.
DOI: 10.57702/76zu86g9
title: JCR, Europarl, news-commentary, and wikititles corpora

description: The training data is made up of the JCR, Europarl, news-commentary and wikititles corpora, utilized for training their machine translation systems between Spanish and Portuguese.
DOI: 10.57702/x6qxy8jc
title: VisDial dataset

description: The VisDial dataset consists of dialogs composed of question-answer pairs about an image, aiming to enhance visual dialog systems.
DOI: 10.57702/b2ugxqvi
title: Audio Visual Scene-aware Dialog dataset

description: The Audio Visual Scene-aware Dialog (AVSD) dataset requires systems to generate answers about events observed in a video through previous dialogs.
DOI: 10.57702/kqg552z8
title: TREC CAR

description: TREC CAR is a synthetic dataset based on Wikipedia that consists of about 29 million passages, using titles and section headings to generate queries associated with relevance judgments.
DOI: 10.57702/82wedfhg
title: IWSLT14

description: The IWSLT14 dataset is a low-resource dataset used for machine translation tasks, specifically for the German-to-English translation direction, containing approximately 160,000 sentences.
DOI: 10.57702/2b3ezpi2
title: USPTO-50k

description: The USPTO-50k dataset is a curated subset of chemical reaction examples from patent literature, where each reaction is labeled with one of ten reaction classes, focusing on the task of predicting likely reactants for given target compounds.
DOI: 10.57702/t2s8kt2p
title: One Billion Word Benchmark

description: The One Billion Word Benchmark is a dataset used for measuring progress in statistical language modeling, featuring a large unannotated text corpus.
DOI: 10.57702/slwx4lom
title: Stanford Natural Language Inference (SNLI) Corpus

description: The SNLI dataset consists of human-written English sentences annotated with the labels entailment, contradiction, or neutral, aimed at measuring textual entailment.
DOI: 10.57702/pcdlv09c
title: CoNLL 2012 Coreference Resolution Shared Task

description: The CoNLL 2012 shared task dataset is designed for coreference resolution, consisting of articles annotated with mentions that refer to the same entities.
DOI: 10.57702/aco9l954
title: CoNLL 2003 Named Entity Recognition Dataset

description: The CoNLL 2003 dataset is used for Named Entity Recognition (NER), containing annotations for four types of named entities.
DOI: 10.57702/ahjmslpo
title: EuroParl

description: The EuroParl dataset consists of multi-parallel sentences in several European languages, used for training and evaluation with automatic Universal Dependencies annotations.
DOI: 10.57702/dk4jiadd
title: Google Universal Dependency Treebanks

description: Google Universal Dependency Treebanks provide syntactic annotations that are used for training and evaluation across various languages including Indonesian, Korean, and Japanese.
DOI: 10.57702/54inr5xc
title: IMST-UD

description: IMST-UD is the Turkish Dependency Treebank which contains syntactically annotated data used for extracting dependencies and parsing tasks.
DOI: 10.57702/ccf3vvu2
title: WMT14 Dataset

description: The dataset consists of translations produced by a state-of-the-art neural machine translation (NMT) Transformer model. It follows the WMT14 data setup, optimized on the test set of WMT13.
DOI: 10.57702/gyzugng8
title: WMT18 Dataset

description: The dataset comes from WMT18 training data and includes randomly selected samples of human references and machine translations alongside their sources for training purposes.
DOI: 10.15468/dl.u3bgah
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 lutvittata F.Wen & Y.G.Wei)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000071-241125135418005/datasets/export for details.
DOI: 10.57702/cawy4157
title: Google Distant Supervision (GDS)

description: The Google Distant Supervision (GDS) dataset is an extension of the Google relation extraction corpus with additional instances from entity pairs.
DOI: 10.57702/xc5d423r
title: Music Glove Sensor Dataset

description: The dataset consists of sensor readings collected from a music glove instrument, including pressure sensors, flex sensors, and IMU data, alongside MIDI outputs from a connected electric piano, used to learn note sequences based on hand motion.
DOI: 10.57702/3khicyu6
title: KFTT Japanese−English (JA−EN)

description: The KFTT dataset is used for the Japanese-English machine translation task, facilitating the evaluation of translation performance.
DOI: 10.57702/1n9662v9
title: IWSLT 2017 German−English (DE−EN)

description: The IWSLT 2017 dataset is used for German to English translations, focusing on spoken language translations for machine translation tasks.
DOI: 10.57702/r6vfuoq8
title: NIST Chinese-to-English dataset

description: The NIST Chinese-to-English dataset includes bilingual sentence pairs for training, development, and evaluation in neural machine translation.
DOI: 10.57702/1t0t5pv8
title: CWMT Corpus

description: The bilingual training corpus for Chinese to English translation, consisting of parallel sentences selected to maximize translation quality.
DOI: 10.57702/fn3hvzev
title: English Gigaword Corpus

description: The English monolingual corpus used to create synthetic data for training models by back-translation.
DOI: 10.57702/shvysqrr
title: Chinese Gigaword

description: The Chinese monolingual corpus used for training models, selected based on quality metrics.
DOI: 10.57702/65ytld9y
title: Synthetic Parallel Corpus

description: A dataset comprised of synthetic parallel sentences generated from English monolingual data through translation.
DOI: 10.57702/oo5fcpv1
title: Stanford Question Answering Dataset 2.0 (SQuAD 2.0)

description: SQuAD 2.0 is a dataset of questions from Wikipedia passages, proposed by human annotators while viewing these Wikipedia passages.
DOI: 10.57702/comvzcxx
title: Natural Questions (NQ)

description: Natural Questions (NQ) is a dataset of Google search queries with answers from Wikipedia pages provided by human annotators.