README.md

---
license: apache-2.0
task_categories:
- text-retrieval
task_ids:
- document-retrieval
language:
- ar
- en
- ru
- zh
multilinguality:
- multilingual
tags:
- multilingual
- RAG
- News
source_datasets:
- extended|c4
annotations_creators:
- no-annotation
size_categories:
- 1M<n<10M
pretty_name: RAGTIME1
configs:
- config_name: default
  data_files:
  - split: arb
    path: arb-docs.jsonl
  - split: rus
    path: rus-docs.jsonl
  - split: zho
    path: zho-docs.jsonl
  - split: eng
    path: eng-docs.jsonl
- config_name: mt_docs
  data_files:
  - split: arb.mt.eng
    path: arb-trans.jsonl
  - split: rus.mt.eng
    path: rus-trans.jsonl
  - split: zho.mt.eng
    path: zho-trans.jsonl
dataset_info:
  splits:
  - name: arb
    num_bytes: 3480001855
    num_examples: 1000095
  - name: arb.mt.eng
    num_bytes: 3382078786
    num_examples: 1000095
  - name: rus
    num_bytes: 3196832604
    num_examples: 1000095
  - name: rus.mt.eng
    num_bytes: 2640657225
    num_examples: 1000095
  - name: zho
    num_bytes: 2541033536
    num_examples: 1000095
  - name: zho.mt.eng
    num_bytes: 3787303609
    num_examples: 1000095
  - name: eng
    num_bytes: 3399011290
    num_examples: 1000095
---

# RAGTIME1 Collection

This dataset contains the documents for [TREC RAGTIME Track](https://trec-ragtime.github.io/). 
Please refer to the website for the details of the task. 

RAGTIME is a multilingual RAG task, which expects the participating system to retrieve relevant documents from all four languages and synthesize a response with citation to the report request. 
For convenience, we separate the documents by their languages into four `.jsonl` files. However, they are intended to be used as a whole set. 

The documents are extracted from Common Crawl News and sampled between August 1, 2021, and July 31, 2024, with an even number of documents every day. 
Each language has 1,000,095 documents. Machine translation using a Sockeye model trained by HLTCOE are also released. 

## TREC RAGTIME Track 2025 Timeline

Please consider participating in our task! Our dry run topics are released. 
You need to register at [TREC](https://trec.nist.gov/) to access it. It's a simple process that takes less than 2 minutes to sign up! 

<ul class="steps steps-vertical mb-4">
  <li class="step-item">
    <div class="h3 m-0">March 2025</div>
    <div class="h3 m-0">Evaluation document collection released</div>
  </li>
  <li class="step-item">
    <div class="h3 m-0">April 2025</div>
    <div class="h3 m-0">Track Guidelines Released</div>
  </li>
  <li class="step-item active">
    <div class="h3 m-0">May 2025</div>
    <div class="h3 m-0">(Optional) Dry run Topics Released (<a href="https://trec.nist.gov/act_part/tracks/ragtime/topic_file_dry.jsonl">Download for TREC</a>)</div>
  </li>
  <li class="step-item">
    <div class="h3 m-0">Late June 2025</div>
    <div class="h3 m-0">Final Topics Released</div>
  </li>
  <li class="step-item">
    <div class="h3 m-0">8 July 2025</div>
    <div class="h3 m-0">(Optional) Dry Run Submissions Due</div>
  </li>
  <li class="step-item">
    <div class="h3 m-0">28 July 2025</div>
    <div class="h3 m-0">Feedback on Dry Run</div>
  </li>
  <li class="step-item">
    <div class="h3 m-0">July 2025</div>
    <div class="h3 m-0">Feedback on dry runs</div>
  </li>
  <li class="step-item">
    <div class="h3 m-0">14 August 2025</div>
    <div class="h3 m-0">Final Submissions Due</div>
  </li>
  <li class="step-item">
    <div class="h3 m-0">October 2025</div>
    <div class="h3 m-0">Feedback on Final Submissions</div>
  </li>
  <li class="step-item">
    <div class="h3 m-0">November 2025</div>
    <div class="h3 m-0">TREC 2025 Conference</div>
  </li>
</ul>

## Citation and Attribution

If you use this collection, please cite our overview paper, which does not exist yet. 

The best way to provide attribution is to participate in our shared task. 
We would love to have your RAG systems and evaluate them :)