28 datasets found

The MathMLBen dataset is used to evaluate the performance of formula embedding techniques for mathematical information retrieval.

The arXMLiv 2018 dataset is an HTML collection of the arXiv.org preprint archive, used as a training corpus for word embedding techniques.

COVID-19 Vaccination Search Insights dataset is a collection of anonymized search queries and their corresponding labels, which indicate whether the query is related to COVID-19...

The TREC Deep Learning 2021 collection is a test collection for information retrieval evaluation, adopting a shallow pooling approach.

The TREC-8 ad hoc collection is a test collection for information retrieval evaluation, known for its high-quality pool.

Conceptual indexing includes the process of annotating raw text by concepts of a particular knowledge source. It is used to represent the content of documents and queries by...

The CORD-19 dataset contains academic journal articles relating to a variety of coronaviruses and related viral infections, not only COVID-19, sourced from PubMed Central (PMC),...

The dataset used for COVID-19 information retrieval and extraction

The BEIR dataset is a large-scale zero-shot evaluation dataset for information retrieval models, consisting of 13,000 documents and 1,000 questions.

TREC 2019 and TREC 2020 Deep Learning Track datasets

The dataset used in the paper is the Wikipedia dataset, which contains over six million English Wikipedia articles with a full-text field associated with 50 training queries...

The Baidu search dataset is a large-scale search dataset for unbiased learning to rank.

The ULTRE-2 task encourages participants to explore ULTR approaches to alleviate various types of biases in real user clicks during training, and achieve better ranking...

The TMC dataset is a collection of air traffic reports.

The problem of similarity search is to find the most similar items in a large collection to a query item of interest. Fast similarity search is at the core of many information...

The TripClick dataset is a large-scale benchmark for information retrieval.

The dataset used for the experiments in the paper.

The Tetun test collection is a document-level audited dataset for relevance judgments.

The Labadain-30k+ dataset is a monolingual Tetun document-level audited dataset.

Text classification problem has long been an interesting research field, the aim of text classification is to develop algorithm to find the categories of given documents.