TREC 2019 and TREC 2020 Deep Learning Track datasets

DataCite Commons2024-12-16 更新2025-04-16 收录

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https://service.tib.eu/ldmservice/dataset/ea2cd2f5-0026-485d-856d-5a11b9f648f5

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资源简介：

TREC 2019 and TREC 2020 Deep Learning Track datasets

提供机构：

TIB

创建时间：

2024-12-16

TREC Deep Learning track

The TREC Deep Learning track dataset is a collection of question answering datasets, which are used for passage retrieval and ranking.

DataCite Commons2026-01-07 更新80

2023 TREC Deep Learning Track Dataset

The Deep Learning track focuses on IR tasks where a large training set is available, allowing us to compare a variety of retrieval approaches including deep neural networks and strong non-neural appro

NIST Chemistry WebBook2025-05-27 更新50

TREC 2019 Deep Learning (Passage Subtask)

The TREC 2019 Deep Learning (Passage Subtask) dataset consists of 43 manually-judged queries using four relevance grades (215 relevance assessments per query, on average).

DataCite Commons2024-12-17 更新70

TREC Deep Learning 2020

Large-scale passage retrieval aims to fetch relevant passages from a million- or billion-scale collection for a given query to meet users’ information needs, serving as an important role in many downs

DataCite Commons2026-01-07 更新00

Trec Deep Learning (TREC-DL)

该数据集是一个问答数据集，每个问题都有一百个可能的答案。它被用于实验中，包括模拟反馈和真实反馈的研究。该数据集的任务是根据问题对答案或段落的相关性进行排序。

arXiv150