| 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. | |