| --- |
| 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 | |
|
|
