cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57771/wz3c-e559
title: Speaking atlas of the regional languages of France
title: Atlas sonore des langues régionales de France

description: Directed by LIMSI (CNRS) with the support of the DGLFLF (Ministry of Culture and Communication), the Speaking atlas of the regional languages of France offers the same Aesop’s fable read in French and in a number of varieties of languages of France. This work, which has a scientific and heritage dimension, consists in highlighting the linguistic diversity of Metropolitan France and Overseas Territories, through recordings collected in the field and presented via an interactive map, with their orthographic transcription. As far as Occitan is concerned, about sixty varieties were collected in Gascony, Languedoc, Provence, northern Occitania and the Linguistic Crescent. Varieties of Basque, Breton, Franconian, West Flemish, Alsatian, Corsican, Catalan, Francoprovençal and Oïl language(s) are also provided, as well as about fifty languages in the French Overseas and non-territorial languages such as Rromani and the French sign language.
description: Réalisé par le LIMSI (CNRS) avec le soutien de la DGLFLF (Ministère de la Culture et de la Communication), l'Atlas sonore des langues régionales de France propose la même fable d'Ésope lue en français et en langues de France. Ce travail, qui possède une dimension scientifique et patrimoniale, consiste à mettre en valeur la diversité linguistique de la France hexagonale et des Outre-mer, à travers des enregistrements recueillis sur le terrain et présentés via une carte interactive, avec leur transcription orthographique. En ce qui concerne l'occitan, une soixantaine d'enregistrements a été collectée en Gascogne, Languedoc, Provence, dans le nord de l'Occitanie ainsi que dans la zone du Croissant. Des variétés de basque, breton, alsacien, francique, flamand occidental, corse, catalan, francoprovençal et langue(s) d'oïl sont également fournies, de même qu’une cinquantaine de langues dans les Outre-mer et des langues non-territoriales comme le rromani et la langue des signes française.
DOI: 10.57771/94q0-fm16
title: SrpCNNER - Named Entity Recognizer for Serbian (7 classes)
title: SrpCNNER

description: <p>A Named Entity Recognizer (NER) trained to recognize 7 different named entity types, with a Convolutional Neural Network (CNN) architecture, having F1 score of approx 91% on the test dataset. The NER tagset includes the 7 categories: demonyms (DEMO), professions and titles (ROLE), works of art (WORK), person names (PERS), places (LOC), events (EVENT) and organizations (ORG), as specified in the guidelines of the “Distant Reading for European Literary History” COST Action CA16204.</p>
DOI: 10.57771/w1g0-rz73
title: SrpELTeC-gold - Named Entity Recognition Training corpus for Serbian
title: SrpELTeC-gold

description: <p>The selection of 11 full novels and excerpts from 15 novels from Serbian literary corpus of novels written more than a century ago, have been automatically labelled with SrpNER system for Serbian  in the first stage of the gold standard preparation. Based on the specifically tailored guidelines, different evaluators performed careful checks and corrections, yielding a gold standard (SrpELTeC-gold). Corpus is annotated with 7 different named entity types: PERS, ROLE, LOC, DEMO, ORG, WORK, EVENT, as specified by Distant Reading for European Literary History (COST Action CA16204). Total number of text files is 242 with stend-off annotation in 242 .ann files. Total number of annotations is 330119, where PERS has 14788, ROLE has 10405, LOC has 1979, DEMO 1568, ORG 323, WORK 198, EVENT 149.</p>
DOI: 10.57771/w16g-6n57
title: SrpKor4Tagging

description: <p>Corpus is created via mix of literary (⅓) and administrative (⅔) texts in Serbian.</p><p>It is tagged for POS for 2 tagsets: Universal POS tagset and SrpLemKor tagset (made according to traditional, descriptive Serbian grammar) and lemmatized</p><p> </p><p> </p>
DOI: 10.57771/mdex-2r46
title: SrpKor4Tagging-spaCy

description: <p>spaCy POS-tagging models for tagging using Universal POS and SrpLemKor tagsets, trained using the SrpKor4Tagging annotated corpora.</p>
DOI: 10.57771/bvkk-jv85
title: SrpKor4Tagging-TreeTagger

description: <p>TreeTagger models for tagging using Universal POS and SrpLemKor tagsets, trained using the SrpKor4Tagging annotated corpora and SrpMD4Tagging lexicons.</p>
DOI: 10.57771/qx05-e470
title: SrpMD4Tagging - Serbian Morphological Dictionaries for Tagging
title: SrpMD4Tagging

description: <p>SrpMD4Tagging - Serbian Morphological Dictionaries for Tagging derived from Serbian Morphological Dictionaries (Krstev & Vitas)  as lookup dictionary for assigning lemma for given inflected form and POS tag. Two files for two POS tagsets available: Univesal Dependencies and traditional Serbian POS tagset.</p>
DOI: 10.57771/j0ge-8e29
title: SrpMD - Serbian Morphological Dictionaries
title: SrpMD

description: <p>SrpMD follows the methodology and format (known as DELAS/DELAF) that was developed in LADL (Laboratoire d'Automatique Documentaire et Linguistique). The format of a DELAS-type dictionary basically consist of simple word lemmas accompanied by inflectional class codes that enable production of a DELAF-type dictionary, which consists of all inflectional forms with their grammatical information. A finite-state transducer responsible for generation of all inflectional forms of each DELAS lemma corresponds to each inflectional class code. Morphological description of multi-word units, compatible with the methodology used for simple words, relies on the usage of finite-state technology. The final aim is to produce the counterpart of DELAS/DELAF dictionaries of simple words for compounds -DELAC/DELACF. </p>
DOI: 10.57771/ydtj-q107
title: SUGAR Dataset
title: SUGAR

description: The Sugar Dataset is a corpus of spoken commands, consisting of 2293 audio files produced by 36 different speakers and annotated by two linguistic experts for the action expressed.<p>Actions are annotated as a finite set of predicates accepting an open set of parameters. For example, the action of putting may refer to a pot being placed on the fire and expressed with the predicate “put(pot, fire)”.<p>The training set consists of 1721 utterances (and therefore 1721 audio files) produced by 36 different speakers annotated by two linguistic experts. <p>The test set consists of about 572 audio files containing uttered commands without annotations. <p>The dataset was created and used in the context of the SUGAR task (https://sites.google.com/view/sugar-evalita/), organised as part of the EVALITA 2018 evaluation campaign  (http://www.evalita.it/2018). The task challenged participants to train a voice-controlled robotic agent to act as a cooking assistant.<p>
DOI: 10.57771/2jec-4a27
title: TAG-it Dataset
title: TAG-it

description: The TAG-it dataset is composed of texts scraped from the ForumFree platform, written by 2,458 users, collected by Maslennikova et al. (2019). Texts are classified by topics and information about the authors’ gender and age is provided. The dataset was created and used in the context of TAG-it (https://sites.google.com/view/tag-it-2020/), a profiling shared task for Italian proposed for the 2020 EVALITA campaign (http://www.evalita.it/2020). The challenge comprehended two subtasks: 1- Given a collection of texts (forum posts) the gender and the age of the author must be predicted, together with the topic the posts are about; 2- For posts coming from a small selection of topics not represented in the training data, systems have to predict either gender (Task 2a) or age (Task 2b).<p>The dataset is divided into training and test sets. The training data is the same for Task 1 and Task 2 and consists of 647918 tokens. The test set for Task 1 is composed of texts of the same topics of the training data; the test set for Task 2 comprehends topics not present in the training data.<p>
DOI: 10.57771/wvd1-c720
title: TED Translanguage English Database
title: TED (Translanguage English Database)

description: LDC reference: https://catalog.ldc.upenn.edu/LDC2002S04<p><p>The Translanguage English Database (TED) is a corpus of recordings made of oral presentations at Eurospeech'93 in Berlin. The corpus name derives from the high percentage of oral presentations given in English by non-native speakers of English. Two hundred twenty-four (224) oral presentations at the conference were successfully recorded, providing a total of about 75 hours of speech material. These recordings provide a large number of presenters, speaking multiple variants of English, over a relatively large amount of time (15 minutes for each presentation + 5 minutes of discussion), on a specific topic. This release of TED (6 CDROMs) includes 188 speeches, without the ensuing discussion periods. This database was produced with the support of ELSNET. Associated text materials consist of ASCII versions of over 400 proceedings papers and oral preparations that were supplied by the authors, as well as, 250 speaker questionnaires.
description: Référence LDC: https://catalog.ldc.upenn.edu/LDC2002S04

La base de données TED (Translanguage English Database) est le résultat des enregistrements des exposés oraux de la conférence "EuroSpeech '93". Le nom même du corpus reflète l'important taux des exposés donnés en anglais par des conférenciers dont la langue maternelle n'est pas l'anglais. 224 présentations orales ont été enregistrées, générant environ 75 heures de parole. Ces enregistrements offrent un grand nombre de locuteurs, chacun parlant plusieurs variantes de l'anglais, sur une période de temps relativement importante (environ 15 minutes de présentation et 5 minutes de discussion), et ce sur un même thème. Cette version de TED (6 CD-ROM) comprend 188 présentations, la période de discussion n'étant pas incluse. Cette base de données a été produite avec le soutien d'ELSNET. Le texte associé à ce corpus est constitué des versions ASCII de quelques 400 articles présentés dans les actes de la conférence et préparations orales fournis par les auteurs, ainsi que 250 questionnaires adressés aux intervenants.
DOI: 10.57771/2cdg-7g97
title: Textual Entailment Dataset
title: Textual Entailment

description: The Textual Entailment dataset contains 800 pairs of Italian sentences, extracted from Wikipedia, and annotated for the presence of textual entailment. A pair of texts consists of T (for text) and H (hypothesis). Textual entailment is defined as a directional relationship between such pairs. The hypothesis must be fully entailed by the text.<p>The dataset has been created and used for the Textual Entailment Task (http://www.evalita.it/2009/tasks/te), organised as part of the EVALITA 2009 evaluation campaign (http://www.evalita.it/2009).<p>The development and test data each consist of 400 examples of pairs, equally divided into positive and negative examples.<p>
DOI: 10.57771/816q-6418
title: Translanguage English Database (TED) Transcripts
                database
title: Base de données de transcriptions de TED (Translanguage
                English Database)

description: LDC reference: https://catalog.ldc.upenn.edu/LDC2002T03<p>                The Translanguage English Database (TED) Transcripts corpus contains transcriptions<p>                of thirty-nine of the 188 speeches of the TED Corpus made at Eurospeech'93 in<p>                Berlin. The thirty-nine transcripts in this publication are in Universal<p>                Transcription Format (UTF) and were prepared by the LDC. All utf files in the<p>                transcript publication were validated against an included utf.dtd. Tables containing<p>                speaker demographic information and a cross-reference of file names from the TED<p>                audio corpus are included.
description: Référence LDC : https://catalog.ldc.upenn.edu/LDC2002T03
                Le corpus de transcriptions de TED (Translanguage English Database) comprend les
                transcriptions de 39 des 188 présentations du corpus TED (réf. ELRA : ELRA-S0031 ;
                réf LDC : LDC2002S04) et réalisé à Eurospeech'93 à Berlin. Les 39 transcriptions de
                cette publication sont au format UTF (Universal Transcription Format) et ont été
                préparées par LDC. Chaque fichier utf de la version transcrite a été validé et est
                en conformité avec la DTD utf incluse. Les tables contenant les informations
                démographiques des locuteurs et de référence croisée des noms de fichier avec le
                corpus audio TED sont fournies.
DOI: 10.57771/bew7-yv45
title: Turku Paraphrase Corpus
title: TurkuParaC

description: The Turku Paraphrase corpus consists of over 100,000+ manually selected Finnish paraphrases, most of which are in their document context. The paraphrases are manually classified using a scheme capturing the degree of contextual dependence, as well as a possible subsumption relation and other flags such as style and minor syntactic differences. The corpus also contains a small Swedish test set.
DOI: 10.57771/yxj4-jf53
title: Set Ddata Adnodd Creu Crynodebau (ACC)
title: Welsh Summary Creator Dataset
title: ACC

description: <p><strong>Set Ddata</strong><br>Dyma gasgliad o 513 o destunau Cymraeg (erthyglau Wicipedia) a'u crynodebau. Tynnwyd pob erthygl – sydd yn cynnwys o leiaf 500 tocyn o ran hyd – ynghyd â'i grynodeb Wicipedia gan ddefnyddio WikipediaAPI. Mae'r ffeiliau crai – sy'n cynnwys yr erthyglau a’r chrynodebau a dynnwyd o Wikipedia fel ag y maent yn ymddangos yno – ar gael ar ffurf data.zip mewn fformatau html a thestun plaen ac maent wedi'u trwyddedu o dan Drwydded Ryngwladol Creative Commons Attribution 4.0. Gellir gweld y sgriptiau Python ar gyfer cyrchu'r ffeiliau a dynnwyd ac a broseswyd, a'u defnyddio gyda'r ffeil ar y cyd hon a gellir gweld hefyd y cyfarwyddiadau ar sut i’w defnyddio, fel y maent wedi’u disgrifio isod.</p><p><i><strong>Dataset</strong></i><br><i>This is a collection of 513 Welsh texts (Wikipedia articles) and their summaries. Each of the articles - containing at least 500 tokens in length - was extracted along with its Wikipedia summary using the WikipediaAPI. The raw files - containing the Wikipedia extracted articles and summaries as-is - are available in data.zip in html and plain text formats and licensed under a Creative Commons Attribution 4.0 International License. The Python scripts for accessing the extracted and processed files can be viewed and used with this Colab file with the usage instruction described below.</i></p>
DOI: 10.57771/z9dw-pa63
title: WikinewsSum
title: wikinewssum

description: <p>WikinewsSum is a summarisation dataset presented in <strong>Generating Extended and Multilingual Summaries with Pre-trained Transformers</strong>.</p><p>WikinewsSum is based on <a href="https://www.wikinews.org" target="_blank">Wikinews</a>. The Wikinews articles are used as summaries and the source texts as input texts for the summaries.</p><p>The dataset contains samples in English, German, French, Spanish, Portuguese, Polish, and Italian</p>
DOI: 10.57771/dgx8-b072
title: Word2Vec embeddings for Serbo-Croatian
title: word2vec-sh-wiki

description: <p>Word2Vec model for Serbo-Croatian was trained on the processed Serbo-Croatian (SH) Wikipedia of May 2020. The processing included parsing the Wikipedia dump (downloaded from https://dumps.wikimedia.org/shwiki/latest/), Part-of-Speech (PoS) tagging, and lemmatization.<br><br>The dump of Wikipedia was parsed into a raw corpus of 637.048 articles using the WikiExtractor library (https://github.com/attardi/wikiextractor).<br><br>First, a FastText model (https://radimrehurek.com/gensim/models/fasttext.html) was trained on the raw tokenized articles to be used for the PoS tagging. More precisely, we trained the Scikit-learn Multilayer Perceptron (MLP) as a PoS tagger on the ParCoTrain corpus (http://redac.univ-tlse2.fr/corpus/parcotrain_en.html). FastText embeddings of tokens from the ParCoTrain corpus were used as features for the MLP, with PoS tags as classes to be predicted. The PoS tagger achieved a 0.9 F1 score.</p><p>After PoS tagging the Wikipedia articles, we lemmatized it using the morpho-syntactic lexicon for Serbian (https://github.com/aleksandra-miletic/serbian-nlp-resources). This included a look-up into the lexicon for a particular word form with the associated PoS tag and resolving it into a lemma. Out of 172 million tokens of all PoS tags, 54.22 % were lemmatized.  <br>For the training of Word2Vec, we used the Gensim library (https://radimrehurek.com/gensim/models/word2vec.html). The embedding dimension was set to be 100 and the window size to 5. The trained model we publish contains 1463334 words in the vocabulary.</p>
DOI: 10.5281/zenodo.6591203
title: TAU Urban Acoustic Scenes 2022 Mobile, Evaluation dataset

description: TAU Urban Acoustic Scenes 2022 Mobile evaluation dataset consists of 1-seconds audio segments from 10 acoustic scenes: Airport - <em>airport</em> Indoor shopping mall - <em>shopping_mall</em> Metro station - <em>metro_station</em> Pedestrian street - <em>street_pedestrian</em> Public square - <em>public_square</em> Street with medium level of traffic - <em>street_traffic</em> Traveling by a tram - <em>tram</em> Traveling by a bus - <em>bus</em> Traveling by an underground metro - <em>metro</em> Urban park - <em>park</em>
DOI: 10.5281/zenodo.6591202
title: TAU Urban Acoustic Scenes 2022 Mobile, Evaluation dataset

description: TAU Urban Acoustic Scenes 2022 Mobile evaluation dataset consists of 1-seconds audio segments from 10 acoustic scenes: Airport - <em>airport</em> Indoor shopping mall - <em>shopping_mall</em> Metro station - <em>metro_station</em> Pedestrian street - <em>street_pedestrian</em> Public square - <em>public_square</em> Street with medium level of traffic - <em>street_traffic</em> Traveling by a tram - <em>tram</em> Traveling by a bus - <em>bus</em> Traveling by an underground metro - <em>metro</em> Urban park - <em>park</em>
DOI: 10.5517/ccdc.csd.cc267yyc
title: CCDC 2033443: Experimental Crystal Structure Determination

description: Related Article: Hua Lu, Takayuki Nakamuro, Keitaro Yamashita, Haruaki Yanagisawa, Osamu Nureki, Masahide Kikkawa, Han Gao, Jiangwei Tian, Rui Shang, Eiichi Nakamura|2020|J.Am.Chem.Soc.|142|18990|doi:10.1021/jacs.0c10337
description: Related Article: Hua Lu, Takayuki Nakamuro, Keitaro Yamashita, Haruaki Yanagisawa, Osamu Nureki, Masahide Kikkawa, Han Gao, Jiangwei Tian, Rui Shang, and Eiichi Nakamura|2020|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.57771/gpa3-n261
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: 10.5517/ccdc.csd.cc26vtc8
title: CCDC 2051560: Experimental Crystal Structure Determination

description: Related Article: Jia‐Zhu Chigan, Jia‐Qi Li, Huan‐Huan Ding, Yin‐Sui Xu, Lu Liu, Cheng Chen, Ke‐Wu Yang|2021|Chem.Biol.Drug.Des.|99|362|doi:10.1111/cbdd.13990
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc272kyv
title: CCDC 2058057: Experimental Crystal Structure Determination

description: Related Article: Şükriye Çakmak, Sevgi Kansiz, Mohammad Azam, Aysel Veyisoglu, Hasan Yakan, Kim Min|2022|ACS Omega|7|17192|doi:10.1021/acsomega.2c00879.
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6073/pasta/a38d74991b2761e225b258ca4d9dd8b5
title: Jornada Basin LTER: Wireless meteorological station at NPP G-IBPE site: 30-minute summary data: 2013 - ongoing

description: 30-minute summary data at NPP G-IBPE met station. Average air temperature, relative humidity, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP G-IBPE site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/bb68f346d95715bc9d554baf77d1a84e
title: Jornada Basin LTER: Wireless meteorological station at NPP G-IBPE site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP G-IBPE met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP G-IBPE site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5281/zenodo.6604326
title: The dataset of dump recordings of power DLS spectra annotated with the actual flow of intralipid for every moment of time

description: Raw data in this dataset was measured in a biotissue phantom with a capillary channel where the intralipid was pumped with the flow (in ul/min) monitored by a precise flowmeter. The dataset presents dump recordings of power spectra from the photodetector annotated with the actual flow of intralipid for every moment of time for different depths of the capillary. The data was used to build the regression model which has been used to solve the inverse problem of the RBC velocity distribution assessment and for instant calculation of blood flow components from different depths.
DOI: 10.5281/zenodo.6604325
title: The dataset of dump recordings of power DLS spectra annotated with the actual flow of intralipid for every moment of time

description: Raw data in this dataset was measured in a biotissue phantom with a capillary channel where the intralipid was pumped with the flow (in ul/min) monitored by a precise flowmeter. The dataset presents dump recordings of power spectra from the photodetector annotated with the actual flow of intralipid for every moment of time for different depths of the capillary. The data was used to build the regression model which has been used to solve the inverse problem of the RBC velocity distribution assessment and for instant calculation of blood flow components from different depths.
DOI: 10.57771/cjef-sq68
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.