---
license: apache-2.0
task_categories:
- text-retrieval
---

# WideSeek-R1 Corpus

To train WideSeek-R1 efficiently, we deployed a suite of local search tools that the model can use during training.

This repository includes three components:

* **wiki_corpus.jsonl**: Serves as the model’s **Search** tool. Given a query, it returns the most relevant snippets.
* **wiki_webpages.jsonl**: Serves as the model’s **Access** tool. Given a specific URL, it returns the full webpage content.
* **qdrant/**: A local **Qdrant** vector database built by embedding `wiki_corpus.jsonl`. It enables efficient retrieval and acts as the core backend for the Search tool.

Both `wiki_corpus.jsonl` and `wiki_webpages.jsonl` are sourced from the [ASearcher-Local-Knowledge](https://huggingface.co/datasets/inclusionAI/ASearcher-Local-Knowledge) dataset.