Litian2002/robotics-papers-vecdb

--- license: mit tags: - robotics - papers - embeddings - lancedb - semantic-search size_categories: - 10K<n<100K --- # Robotics Papers Vector Database Semantic search over **63,381 academic papers** from 30 conference-year combinations in robotics, CV, and ML. ## Contents - **Embeddings**: BAAI/bge-m3 (1024 dimensions) via SiliconFlow - **Conferences**: CoRL, CVPR, ECCV, ICCV, ICLR, ICML, ICRA, IROS, NeurIPS, RSS, WACV (2023-2026) - **Fields**: title, abstract, author, conference, year, arxiv, github, citations, keywords - **Format**: LanceDB (compacted, single fragment) ## Usage ### Remote query (no download needed) ```python import lancedb db = lancedb.connect("hf://datasets/Litian2002/robotics-papers-vecdb/lancedb") table = db.open_table("papers") print(f"Papers: {table.count_rows()}") # Semantic search (requires embedding your query first) # See the companion repo for the full search pipeline ``` ### Local usage ```bash git clone https://huggingface.co/datasets/Litian2002/robotics-papers-vecdb # or use huggingface_hub to download ``` ### With vec-db CLI ```bash # Clone the tool repo git clone <vec-db-repo-url> cd vec-db VECDB_LANCE_DIR=/path/to/downloaded/lancedb npx tsx src/cli.ts search "robot grasping" ``` ## Schema | Column | Type | Description | |--------|------|-------------| | vecId | string | `{conf}_{year}_{id}` compound key | | title | string | Paper title | | abstract | string | Paper abstract | | author | string | Authors (semicolon-separated) | | conference | string | Conference name | | year | float | Publication year | | arxiv | string | arXiv ID | | github | string | GitHub repo URL | | gsCitation | float | Citation count (from OpenAlex) | | vector | float[1024] | bge-m3 embedding |