# TREC Deep Learning Track

TREC Deep Learning Track is an AI benchmark; this page records what it measures and traces its data, grader, and scores to primary sources.

Evaluates passage and document ranking systems on large web collections with graded relevance judgments.

## Details

- Address: Online, Global
- Website: [microsoft.github.io/msmarco/](<https://microsoft.github.io/msmarco/>)
- Tags: Science, Helpful
- Category: Retrieval
- Status: Active
- Data licence: unknown
- Data access: gated
- Grader: exact
- Organization: NIST
- Released: 2019-01
- Paper: [arxiv.org/abs/2003.07820](<https://arxiv.org/abs/2003.07820>)
- Leaderboard: [trec.nist.gov/data/deep.html](<https://trec.nist.gov/data/deep.html>)
- Top-score provenance: unknown
- ABI family: No

## Questions

### Where is TREC Deep Learning Track?

TREC Deep Learning Track is at Online, Global.

### How do I contact TREC Deep Learning Track?

To contact TREC Deep Learning Track, visit https://microsoft.github.io/msmarco/.

## Source

From [Benchmark primary sources](https://aibenchmarkindex.com/about), license CC0-1.0, checked 2026-10-15.

Last updated October 15, 2026.

## Links

- This benchmark on the [web page](<https://aibenchmarkindex.com/global/online/trec-deep-learning-track>)
- [Retrieval in Online](<https://aibenchmarkindex.com/global/online/category/retrieval.md>)
- [More benchmarks in Online](<https://aibenchmarkindex.com/global/online.md>)

> **Check before you compare.** Benchmark methods and leaderboards change. Follow the cited primary source before using a result in a decision.