HuCoPA

Causal dataset

A dataset and annotation scheme for Hungarian causal reasoning tasks.

Hungarian Choice of Plausible Alternatives Corpus

GitHub

1 stars
2 watching
0 forks
last commit: about 2 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
nytud/hucolaA collection of 9,076 annotated sentences in Hungarian to evaluate linguistic acceptability and grammaticality1
poltextlab/hunempoli_corpusA manually annotated corpus for training and testing machine learning models of Aspect Based Sentiment Analysis (ABSA) in Hungarian language.0
nytud/husstA dataset of annotated sentences for training and evaluating sentiment analysis models in the Hungarian language.1
msuzen/looperA collection of resources and code snippets for understanding causal relationships in various fields.256
nytud/huluA collection of linguistic datasets and benchmarks for natural language understanding tasks8
nytud/nytk-nerkorA Hungarian language named entity annotated corpus containing 1 million tokens with morphological annotation layers and various source files.15
several27/fakenewscorpusA large dataset of news articles with labeled categories to train fake news recognition algorithms385
nytud/hunlp-gateA collection of Hungarian NLP tools integrated as GATE processing resources8
nytud/panmorphHarmonized tagset and annotation scheme for Hungarian morphological analysers4
ukrainian-to-english-corpora/folktale_corpusA collection of Ukrainian folktales translated into English for linguistic and literary research purposes.0
elte-dh/drama-corpusA comprehensive annotated corpus of Hungarian drama texts, including structural annotations and grammatical features.1
universaldependencies/ud_ukrainian-iuA dataset of annotated text in Ukrainian with standardized formatting and annotation guidelines.27
nytud/happA dataset of Hungarian translations of human-language examples to test anaphora resolution algorithms1
elte-dh/regenykorpuszA large corpus of Hungarian novels with annotated texts and metadata, developed by the Department of Digital Humanities at Eötvös Loránd University.4
nytud/huwsA dataset of manually curated Hungarian sentences with ambiguous wordings that require world knowledge and reasoning for resolution.1