README.md

---
license: cc-by-sa-4.0
task_categories:
- text-retrieval
task_ids:
- document-retrieval
language:
- ar
- en
- es
- zh
multilinguality:
- multilingual
tags:
- multilingual
- RAG
- News
source_datasets:
- extended|c4
annotations_creators:
- no-annotation
size_categories:
- 1M<n<10M
pretty_name: RAGTIME2
configs:
- config_name: default
  data_files:
  - split: spa
    path: spa-docs.jsonl.gz
  - split: rus
    path: rus-docs.jsonl.gz
  - split: zho
    path: zho-docs.jsonl.gz
  - split: eng
    path: eng-docs.jsonl.gz
- config_name: mt_docs
  data_files:
  - split: spa.mt.eng
    path: spa-trans.jsonl.gz
  - split: rus.mt.eng
    path: rus-trans.jsonl.gz
  - split: zho.mt.eng
    path: zho-trans.jsonl.gz
---

# RAGTIME2 Collection

This dataset contains the documents for [TREC RAGTIME Track](https://trec-ragtime.github.io/) 2026. 
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.