metadata
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 dataset.