Add dataset card

README.md

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+---
+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 |