530 datasets found

Definition Extraction (DE) is one of the well-known topics in Information Extraction that aims to identify terms and their corresponding definitions in unstructured texts.

The Chimera dataset is a ‘Chimera’ dataset of (Lazaridou et al., 2017). This dataset was specifically constructed to sim- ulate a nonce situation where a speaker encoun- ters a...

Multilingual extension of the TAXINLI dataset for analyzing the effects of reasoning types on cross-lingual transfer performance.

Multilingual extension of the TAXINLI dataset for analyzing the effects of reasoning types on cross-lingual transfer performance.

Multilingual extension of the TAXINLI dataset for analyzing the effects of reasoning types on cross-lingual transfer performance.

The Corpus of Linguistic Acceptability (CoLA) is a set of 10,657 English sentences labeled as grammatical or ungrammatical from published linguistics literature.

A set of 50 prompts to evaluate execution-based evaluation for NL2Bash task

The Words2Contact dataset contains verbal instructions for humanoid robots to place support contacts.

Word2Vec is a technique for learning vector representations of words in a text corpus.

SimVerb-3500 is a large-scale evaluation set of verb similarity, providing human ratings for the similarity of 3,500 verb pairs.

The WikiText-2 dataset is a benchmark for evaluating the performance of large language models.

The dataset used in the paper is not explicitly mentioned, but it is mentioned that the authors trained a GPT2 transformer language model on the C4 dataset.

Large Language Models (LLMs) have greatly advanced the natural language processing paradigm. However, the high computational load and huge model sizes pose a grand challenge for...

Automated discovery of mathematical definitions in text.

MathGloss is a project to create a knowledge graph (KG) for undergraduate mathematics from text, automatically, using modern natural language processing (NLP) tools and...

DEERLET is a dataset containing 846 tuples with format (fact, rule, label0, label1, label2, label3) for the task of classifying the capabilities required by inductive reasoning.

DEER is a dataset containing 1.2k rule-fact pairs for the task of inducing natural language rules from natural language facts.

Inductive reasoning is a core component of human intelligence. In the past research of inductive reasoning within computer science, logic language is used as representations of...

The CoNLL-2016 Shared Task (CoNLL16) provides more abundant annotation for shadow discourse parsing.

The Penn Discourse Treebank 2.0 (PDTB 2.0) is a large scale corpus containing 2,312 Wall Street Journal (WSJ) articles.