datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
trec-covid-qrels
Dataset Card for BEIR Benchmark
Dataset Summary
BEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:
Fact-checking: FEVER, Climate-FEVER, SciFact
Question-Answering: NQ, HotpotQA, FiQA-2018
Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus
News Retrieval: TREC-NEWS, Robust04
Argument Retrieval: Touche-2020, ArguAna
Duplicate Question Retrieval: Quora, CqaDupstack
Citation-Prediction: SCIDOCS
Tweet… See the full description on the dataset page: https://huggingface.co/datasets/BeIR/trec-covid-qrels.trec6Product-Search-Images-v0.1product-search-2023-queriestrec-cast-2019
TREC Conversational Assistance Track (CAsT)
There are currently few datasets appropriate for training and evaluating models for Conversational Information Seeking (CIS). The main aim of TREC CAsT is to advance research on conversational search systems. The goal of the track is to create a reusable benchmark for open-domain information centric conversational dialogues.
Year 1 (TREC 2019)
Read the TREC 2019 Overview paper.
2019 Data
Topics… See the full description on the dataset page: https://huggingface.co/datasets/satyanshu404/trec-cast-2019.product-search-2025-test-queriestrec-covid-pl-qrelsPart of BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language.
Link to arxiv: https://arxiv.org/pdf/2305.19840.pdf
Contact: konrad.wojtasik@pwr.edu.pl
product-search-2024-queriesrus-trec-covid-qrelsSentEval_TRECtrec19trec-raggy-devtrec-covid_answerai_colbert_small
trec-covid_answerai_colbert_small
Multi-vector (late-interaction) embeddings of BEIR trec-covid (beir/trec-covid), encoded with
lightonai/answerai-colbert-small-v1 at revision e507cd12947a2b4b52201d150967df3c19a90590.
Source data: ir_datasets beir/trec-covid (ir_datasets 0.6.3), which downloads trec-covid.zip (md5 ce62140cb23feb9becf6270d0d1fe6d1). BEIR also publishes this corpus on the Hub as BeIR/trec-covid, whose card gives this dataset's license; the data here was loaded… See the full description on the dataset page: https://huggingface.co/datasets/robro612/trec-covid_answerai_colbert_small.trec-covid_lateon
trec-covid_lateon
Multi-vector (late-interaction) embeddings of BEIR trec-covid (beir/trec-covid), encoded with
lightonai/LateOn at revision 62911e105059585d244384c7d17826e35f669c17.
Source data: ir_datasets beir/trec-covid (ir_datasets 0.6.3), which downloads trec-covid.zip (md5 ce62140cb23feb9becf6270d0d1fe6d1). BEIR also publishes this corpus on the Hub as BeIR/trec-covid, whose card gives this dataset's license; the data here was loaded through ir_datasets, not from that… See the full description on the dataset page: https://huggingface.co/datasets/robro612/trec-covid_lateon.trec-covid_mlateon
trec-covid_mlateon
Multi-vector (late-interaction) embeddings of BEIR trec-covid (beir/trec-covid), encoded with
lightonai/mLateOn at revision edd378f99593c0ac8a15518b97ad89786b02685e.
Source data: ir_datasets beir/trec-covid (ir_datasets 0.6.3), which downloads trec-covid.zip (md5 ce62140cb23feb9becf6270d0d1fe6d1). BEIR also publishes this corpus on the Hub as BeIR/trec-covid, whose card gives this dataset's license; the data here was loaded through ir_datasets, not from that… See the full description on the dataset page: https://huggingface.co/datasets/robro612/trec-covid_mlateon.