cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57771/26pb-3v09
title: EUROPARL Corpus Parallel Corpora: Portuguese-English
title: Corpus parallèle portugais-anglais du corpus EUROPARL

description: The EUROPARL Corpus (Portuguese-English subpart of the parallel corpora), was extracted from the proceedings of the European Parliament. It contains transcriptions of sessions dating back from 1996 to 2011, with a total of approximately 58,324,562 tokens of European Portuguese (L1) and 49,216,896 tokens of English (translation). <p><p>The EUROPARL Corpus is composed of one text file for the English corpus and two files for the Portuguese version: a text file and an annotated file. The text version contains plain text and no further annotation. The Portuguese annotated file is a four-column file with one token per line, followed by a PoS tag and a lemma. The corpus was automatically PoS-tagged with MBT tagger (http://ilk.uvt.nl/mbt/), and lemmatized with MBLEM (http://ilk.uvt.nl/mbma/), following the annotation scheme of the Corpus of Reference of Contemporary Portuguese.
description: Le corpus EUROPARL (la sous-partie portugais-anglais du corpus), est extrait des actes du Parlement Européen. Il contient des transcriptions des séances parlementaires correspondant à la période 1996-2011, et comprend environ 58,324,562 mots en portugais européen (L1) et 49,216,896 mots en anglais (traduction).

Le corpus EUROPARL comprend un fichier texte pour la sous-partie en anglais, et deux fichiers pour la version portugaise: un fichier texte et un fichier annoté. Le fichier texte contient du texte simple sans annotation. Le fichier annoté contient un mot par ligne, suivi par la partie du discours et par le lemme. Le corpus a été annoté automatiquement en parties du discours avec l’étiqueteur MBT (http://ilk.uvt.nl/mbt/), et il a été lemmatisé avec l’outil MBLEM (http://ilk.uvt.nl/mbma/), selon le schéma d’annotation du Corpus de Référence du Portugais Contemporain.
DOI: 10.57771/dey2-g751
title: European Clinical Case Corpus
title: E3C-Corpus

description: E3C is a freely available multilingual corpus (English, French, Italian, Spanish, and Basque) of semantically annotated clinical narratives to allow for the linguistic analysis, benchmarking, and training of information extraction systems. It consists of two types of annotations: (i) clinical entities (e.g., pathologies), (ii) temporal information and factuality (e.g., events). Researchers can use the benchmark training and test splits of our corpus to develop and test their own models.
DOI: 10.57771/1xpd-z829
title: EVALITA 2007 Parsing Task Dataset

description: The EVALITA 2007 Parsing Task Dataset comprehends about 2200 sentences extracted from the Turin University Treebank (TUT) and annotated in both a dependency-based (TUT native) and a constituency-based (Penn-like) format. The corpus can be separated in two equally sized subcorpora, one from the Italian legal Code and one from Italian newspapers. It has been used as dataset in the Parsing Task (https://www.evalita.it/2007/tasks/parsing) organised as part of the EVALITA 2007 evaluation campaign (https://www.evalita.it/2007). <p>
DOI: 10.57771/9ff6-yz45
title: EVALITA 2011 Parsing Task Dataset
title: Parsing Task 2011

description: The EVALITA 2011 Parsing Task Dataset comprehends 3,752 Italian  sentences collected from the Turin University Treebank (TUT), belonging to the five different text genres, <p>and annotated in both a Penn-like format (TUT-Penn) and CoNLL one. The dataset has been used in the context of the EVALITA 2011 Parsing Task (http://www.di.unito.it/~tutreeb/evalita-parsingtask-11.html), organized as part of the EVALITA 2011 evaluation campaign (http://www.evalita.it/2011).In order to account for different parsing paradigms, the task has been articulated into two different tracks, i.e. dependency and constituency parsing.<p>
DOI: 10.57771/x431-ae71
title: EVENTI corpus
title: EVENTI

description: The EVENTI corpus collects news articles and stories annotated with temporal information at different levels (i.e. events, temporal expressions, signals and temporal relations) following the It-TimeML Annotation Guidelines (https://sites.google.com/site/eventievalita2014/file-cabinet). <p>The corpus is divided into 3 datasets: the Main task training data (103,593 tokens), the Main task test data (26,686 tokens) and the Pilot task test data (5000 tokens from newspaper articles written by Alcide De Gasperi in 1914). <p>The dataset has been used in the context of the EVENTI task (https://sites.google.com/site/eventievalita2014/) during the EVALITA 2014 evaluation campaign (http://www.evalita.it/2014). <p>
DOI: 10.57771/4p33-9963
title: FactA Dataset
title: FactA

description: The FACTA dataset consists of 169 news stories selected from the Ita-TimeBank, 120 Wikinews articles, and 301 tweets, annotated with event factuality information. <p>The factuality profiling is represented by means of three attributes associated to event mentions, namely: certainty, time, and polarity. The dataset has been created and  used in the context of the FACTA task (https://facta-evalita2016.fbk.eu), organised as part of the EVALITA 2016 evaluation campaign (​​http://www.evalita.it/2016). The task aimed at evaluating systems for the identification of the factuality profiling of events. The Main Task of FactA focused on the newswire domain; the training and test datasets are both composed of news articles (65,053 and 15,676 tokens, respectively). In addition to this, the task also comprehended a Pilot Task on factuality profiling on social media texts (in particular, Tweets; 4,920 tokens).
DOI: 10.57771/esw5-ra40
title: FESTCAT Catalan TTS baseline female speech database
title: Voix de femme de référence TTS du projet FESTCAT catalan

description: This database contains the recordings of one female Catalan professional speaker recorded in a noise-reduced room simultaneously through a close talk microphone, a mid distance microphone and a laryngograph signal. It consists in the recordings and annotations of read text material of approximately 10 hours of speech for baseline applications (Text-to-Speech systems). The FESTCAT Catalan TTS Baseline Female Speech Database was created within the scope of the FESTCAT project funded by the Catalan Government.
description: Cette base de données comprend les enregistrements d’un locuteur professionnel femme du catalan dans une salle à bruit réduit réalisés simultanément via un microphone “close talk”, un microphone à moyenne distance et un signal laryngographique. Elle consiste en des enregistrements et annotations de matériel textuel lu pour environ 10 heures de parole pour des applications de référence (systèmes texte-parole). La voix de femme de référence TTS du projet FESTCAT catalan a été créée dans le cadre du projet FESTCAT, financé par le gouvernement catalan.
DOI: 10.57771/4wd2-3p30
title: FESTCAT Catalan TTS baseline male speech database
title: Voix d'homme de référence TTS du projet FESTCAT catalan

description: This database contains the recordings of one male Catalan professional speaker recorded in a noise-reduced room simultaneously through a close talk microphone, a mid distance microphone and a laryngograph signal. This database consists in the recordings and annotations of read text material of approximately 10 hours of speech for baseline applications (Text-to-Speech systems). The FESTCAT Catalan TTS Baseline Male Speech Database was created within the scope of the FESTCAT project, funded by the Catalan Government.
description: Cette base de données comprend les enregistrements d’un locuteur professionnel homme du catalan dans une salle à bruit réduit réalisés simultanément via un microphone “close talk”, un microphone à moyenne distance et un signal laryngographique. Elle consiste en des enregistrements et annotations de matériel textuel lu pour environ 10 heures de parole pour des applications de référence (systèmes texte-parole). La voix d'homme de référence TTS du projet FESTCAT catalan a été créée dans le cadre du projet FESTCAT, financé par le gouvernement catalan.
DOI: 10.57771/30c9-nx16
title: FESTCAT Catalan TTS baseline speech database - 8 speakers
title: Voix de référence TTS du projet FESTCAT catalan - 8 locuteurs

description: This database contains the recordings of four female and four male Catalan professional speakers recorded in a noise-reduced room simultaneously through a close talk microphone, a mid distance microphone and a laryngograph signal. It consists of the recordings and annotations of read text material of approximately 1 hour of speech per speaker for baseline applications (Text-to-Speech systems). The FESTCAT Catalan TTS baseline speech database - 8 speakers was created within the scope of the FESTCAT project funded by the Catalan Government.
description: Cette base de données comprend les enregistrements de 4 locuteurs hommes et 4 locuteurs femmes professionnels du catalan dans une salle à bruit réduit réalisés simultanément via un microphone “close talk”, un microphone à moyenne distance et un signal laryngographique. Elle consiste en des enregistrements et annotations de matériel textuel lu pour environ 1 heure de parole par locuteur pour des applications de référence (systèmes texte-parole). La voix de référence TTS du projet FESTCAT catalan – 8 locuteurs a été créée dans le cadre du projet FESTCAT, financé par le gouvernement catalan.
DOI: 10.57771/t3ar-e940
title: GeolISSTerm - geological dictionary
title: GeolISSTerm 

description: <p>GeolISSTerm is the electronic dictionary of geologic terms (GeolISSTerm) as a special-purpose taxonomy of basic geologic concepts and terms. GeolISSTerm is part of the Geologic Information System of Serbia (GeolISS) used for validation, classification and specification of the observed and the interpreted geological attributes. Development was funded by Ministry of the Environment, Mining and Spatial Planning of the Republic of Serbia, later transformed so project is currently fully supported by Ministry of Mining and Energy of the Republic of Serbia.</p>
DOI: 10.57771/eyfw-xz23
title: German Annotated Dictionary with Morphological and Linguistic Features
title: German Annotated Dictionary

description: The German Annotated Dictionary  consists of i) a limited size dictionary of German words and ii) a language model for the German language. The annotated dictionary provides useful information about words including chunking and syllabification as well as   grammatical information  such as “parts of speech”. The language model captures the journey of a student learning to read. It consists of a collection of language features that must be mastered by a reader. For each language feature, the model specifies its difficulty as well as a list of prerequisites that are typically mastered before the new feature is introduced in the learning path. What makes iRead German  Annotated Dictionary special is the information associating each dictionary lemma with features in the language model. The iRead team of linguists and education researchers used rigorous research techniques informed by the latest science to develop the provided resources.
DOI: 10.57771/4nm3-5p83
title: Greek Annotated Dictionary with Morphological and Linguistic Features
title: Greek Annotated Dictionary

description: The Greek Annotated Dictionary  consists of i) a limited size dictionary of Greek words and ii) a language model for the Greek language. The annotated dictionary provides useful information about words including chunking and syllabification as well as   grammatical information  such as “parts of speech”. The language model captures the journey of a student learning to read. It consists of a collection of language features that must be mastered by a reader. For each language feature, the model specifies its difficulty as well as a list of prerequisites that are typically mastered before the new feature is introduced in the learning path. What makes iRead Greek  Annotated Dictionary special is the information associating each dictionary lemma with features in the language model. The iRead team of linguists and education researchers used rigorous research techniques informed by the latest science to develop the provided resources.
DOI: 10.57771/z0js-dy39
title: HaSpeeDe 2018 dataset
title: HaSpeeDe 2018

description: The HaSpeeDe dataset collects 8000 Facebook comments and<p> tweets annotated for the presence of hate speech. The dataset has been used in the context of the HaSpeeDe task, organized as part of the EVALITA 2018 evaluation campaign (http://www.evalita.it/2018). <p>In order to meet the GDPR requirements, texts have been pseudonymized replacing all original IDs in both datasets with newly-generated ones. Mentions, emails, person names (excluded public person names), and phone numbers have been masked with, respectively, the labels MENTION, EMAIL, PERSON, PHONE, followed by a number to distinguish between different entities of the same kind within the same text.<p>
DOI: 10.57771/2ycx-wy17
title: HaSpeeDe 2 Dataset
title: HaSpeeDe2

description: The HaSpeeDe2 dataset collects  8,012 tweets and 500 news headlines annotated for the presence of hate speech, stereotypes and nominal utterance. The dataset has been used in the context of the HaSpeeDe task (http://www.di.unito.it/~tutreeb/haspeede-evalita20/index.html), organized as part of the EVALITA 2020 evaluation campaign (http://www.evalita.it/2020). <p>In order to meet the GDPR requirements, texts have been pseudonymized replacing all original IDs in both datasets with newly-generated ones. Mentions, emails, person names (excluded public person names), and phone numbers have been masked with, respectively, the labels MENTION, EMAIL, PERSON, PHONE, followed by a number to distinguish between different entities of the same kind within the same text.
DOI: 10.57771/wf1q-8503
title: iLISTEN dataset
title: iLISTEN

description: The iLISTEN dataset collects 60 dialogue transcripts (about 22,000 words) annotated for the speech act of each turn. The dialogues were collected using a Wizard of Oz tool as dialogue manager and involved sixty subjects (aged between 21–28).<p>The dataset has been used in the context of the iLISTEN task (https://ilisten2018.github.io), organised as part of EVALITA 2018 (http://www.evalita.it/2018). It is split into a development and a test data set, containing 40 and 20 dialogues, respectively.
DOI: 10.57771/rttq-4366
title: IronITA
title: IronITA

description: The IronITA dataset collects 4,849 tweets annotated for irony and sarcasm. The dataset has been used in the IroniTA task (http://www.di.unito.it/~tutreeb/ironita-evalita18), organised as part of EVALITA 2018 (http://www.evalita.it/2018). <p>The dataset is divided into training and test data, constituted of respectively 3,977 and 872 tweets. In order to comply with GDPR privacy rules and Twitter’s policies, the identifiers of tweets and users have been anonymized and replaced by unique identifiers.
DOI: 10.57771/v795-db81
title: ITAmoji dataset
title: ITAmoji

description: The ITAmoji dataset collects 275, 000 tweets that contain one and only one emoji over the 25 most frequent emojis. The dataset has been created and used in the context of the ITAmoji task (https://sites.google.com/view/itamoji/), organised as part of EVALITA 2018(http://www.evalita.it/2018). The task challenged participants to develop automatic systems that predict, given an Italian tweet, its most likely associ- ated emoji, selected in a wide and heterogeneous emoji space. The dataset is split into training set (250,000 tweets) and test set (25,000 tweets).<p>In order to comply with GDPR privacy rules and Twitter’s policies, the identifiers of tweets and users have been anonymized and replaced by unique identifiers.  <p>
DOI: 10.57771/xtp9-6x35
title: Khresmoi manually annotated reference corpus
title: Corpus de référence annoté manuellement Khresmoi

description: The Manually Annotated Reference Corpus is a collection of English web documents annotated with key entities (such as disease, drug), built in the framework of the Khresmoi project, funded by the European Commission. It has been constructed by first annotating these entities with an imperfect automatic process through GATE pipelines. Then, automatic annotations have been corrected by several human operators. The differences between these human operators were resolved to give the final reference corpus. <p><p>The corpus is divided into two parts:<p>1. The initial corpus: 625 documents from the Genetics Home Reference data set, automatically annotated with anatomical locations and diseases, and manually corrected by 3-4 annotators. Size of documents: between 26 and 8,306 tokens each. <p>2. The main corpus: 6,950 English documents from the Khresmoi crawl and 5,518 English Wikipedia pages, automatically annotated through the GATE Platform for Anatomy, Disease, Drug and Investigation. Size of documents: between 200 and 2,000 tokens each. Of these, 1,783 documents have been manually corrected by up to 7 people, to give 68,799 agreed consensus annotations. <p><p>The corpus is using the GATE XML format.
description: Le corpus de référence annoté manuellement est une collection de documents web en anglais annotés en entités-clés (telles que maladie, médication), réalisée dans le cadre du projet Khresmoi, financé par la Commission européenne. Il a été construit d’abord en annotant ces entités avec un procédé automatique imparfait via le réseau GATE. Puis, les annotations automatiques ont été corrigées par plusieurs opérateurs humains. Les différences entre les opérateurs humains ont été résolues afin d’offrir un corpus de référence final. 

Le corpus se divise en deux parties:
1. Le corpus initial: 625 documents provenant de l’ensemble de données Genetics Home Reference, annoté automatiquement avec les emplacements anatomiques et les maladies, et corrigé manuellement par 3-4 annotateurs. Taille des documents: entre 26 et 8,306 tokens par document. 
2. Le corpus principal: 6,950 documents provenant de données crawlées dans Khresmoi et  5,518 pages Wikipedia, annotées automatiquement via la plate-forme GATE dédiée à l’anatomie, la maladie, la médication et l’investigation. Taille des documents: entre 200 et 2,000 tokens par document. A partir de cela, 1,783 documents ont été corrigés manuellement par un maximum de 7 personnes, pour offrir 68,799 annotations agréées par consensus. 

Le corpus utilise le format XML GATE.
DOI: 10.57771/mcbz-3f91
title: KIPoS corpus
title: KIPoS

description: The KIPoS corpus provides data extracted from the KIParla spoken corpus of Italian (www.kiparla.it) and manually annotated with Part of Speech tags. The dataset consists of approximately 200K tokens, with an equal proportion of informal and formal speech. It has been used as dataset for the KIPoS task (http://www.di.unito.it/~tutreeb/kipos-evalita2020/) during the EVALITA 2020 evaluation campaign (http://www.evalita.it/2020).
DOI: 10.57771/yhvq-r541
title: Lexical Substitution Task Test Set 

description: The Lexical Substitution Task Test Set comprehends the test set and the gold labels used in the Lexical Substitution Task (https://www.evalita.it/2009/tasks/lexical), organised as part of the  EVALITA 2009 evaluation campaign (http://www.evalita.it/2009). The task challenged participants to build systems that could automatically find synonyms for a set of 231 words appearing in different contexts.<p>The data set contains 1710 sentences  extracted from the Italian Syntactic Semantic Treebank (ISST) in which the target words occur and a list of the synonyms (manually annotated), that constitute the gold labels. <p>
DOI: 10.57771/7kct-nd96
title: Liste Vager Zeitausdrücke in Deutsch
title: List of German Vague Time Expressions
title: vtimex_ger

description: Eine Liste mit deutschen vagen Zeitausdrücken unterteilt in Kategorien, mit Kurzbeschreibungen und Beispielsätzen.
description: A list of categorized German vague time expressions with short explanations and example sentences.
DOI: 10.57771/fawd-9y12
title: Mbochi speech corpus
title: Corpus oral mbochi

description: The Mbochi speech corpus was developed in the framework of ANR-DFG BULB project. This project aims to provide field linguists (eg working on morphology) with tools for less or not written languages. The provided corpus is a subset from the corpus developed in this framework.<p><p>The provided corpus consists of 5131 sentences recorded in mbochi, together with their transcription and French translation, as well as the results from the work made during  JSALT workshop (within one of the topics which was "the speaking Rosetta stone - Discovering Grounded Linguistic Units for Languages without Orthography"): alignments at the phonetic level and various results of unsupervised word segmentation from audio. The audio corpus is made up of 4,5 hours, downsampled at 16kHz, 16bits, with Linear PCM encoding. Data is distributed into 2 parts, one for training consisting of 4617 sentences, and one for development consisting of 514 sentences.
description: Le corpus oral mbochi a été développé dans le cadre du projet ANR-DFG BULB. Ce projet a pour but de fournir des outils pour les linguistes de terrain pour des langues peu ou pas écrites, par exemple en découverte de la morphologie. Le corpus fourni est une partie du corpus développé dans ce cadre.

Le corpus fourni comprend 5131 phrases enregistrées en mbochi avec leur transcription, et leur traduction en français, ainsi que le résultat du travail réalisé pendant le workshop JSALT (dont l’un des sujets était "the speaking Rosetta stone - Discovering Grounded Linguistic Units for Languages without Orthography"): alignements au niveau phonétique, et divers résultats de segmentation en mots non supervisée à partir de l'audio. Le corpus audio contient 4,5 heures, échantillonnées à 16kHz, 16bits, avec codage Linear PCM. Les données sont séparées en 2 parties, une pour l'apprentissage (train) contenant 4617 phrases, et une pour le développement (dev) contenant 514 phrases.
DOI: 10.57771/xb4x-tb47
title: MCL - Multifunctional Computational Lexicon of Contemporary Portuguese
title: MCL- Lexique informatique multifonctionnel du portugais contemporain

description: MCL is a 26,443 lemma Frequency Lexicon with 140,315 tokens, with the minimum lemma frequency of 6, extracted from CORLEX, a contemporary Portuguese corpus (16,210,438 words). CORLEX is a subcorpus of the Reference Corpus of Contemporary Portuguese and contains written and spoken texts of several types, being genre diversity a characteristic of this corpus. CORLEX contains mainly journalistic texts (56% of the written corpus and 53% of the whole corpus). In order to extract the lexicon, all the different lexical forms occurring in the corpus were indexed and subsequently tagged morphosyntactically and lemmatised by PALAVROSO.<p><p>Each lemma in MCL is followed by morphosyntactic and quantitative information. The same information is given regarding each lemma token (inflected forms and some compounds). The lexicon indexations are listed in alphabetical order or decreasing frequency order.
description: MCL est un lexique de fréquences de lemmes qui contient 140,315 mots, avec une fréquence minimale d’apparition égale à 6. Le lexique a été extrait de CORLEX, un corpus du portugais contemporain (16,210,438 mots). CORLEX est un sous-corpus du Corpus de Référence du Portugais Contemporain, lequel comprend plusieurs types de textes. CORLEX comprend principalement des textes journalistiques (56% du corpus écrit et 53% du corpus total). Afin d'extraire le lexique, toutes les formes lexicales dans le corpus ont été indexées et ensuite étiquetées et lemmatisées avec PALAVROSO.

Chaque lemme dans MCL est suivi d'informations morphosyntaxiques et quantitatives. Ces informations sont aussi fournies pour les formes fléchies et pour certains mots composés. Les indexations du lexique sont listées alphabétiquement ou par ordre décroissant des fréquences.