Update dataset - 2025-11-25

README.md

@@ -1,3 +1,82 @@
 ---
 license: mit
+tags:
+- movies
+- embeddings
+- rag
+- chromadb
+- sentence-transformers
+size_categories:
+- 1K<n<10K
 ---
+
+# Movie Embeddings RAG Dataset
+
+This dataset contains movie embeddings for Retrieval-Augmented Generation (RAG) in a movie recommendation chatbot.
+
+## Dataset Information
+
+- **Total Movies:** 750
+- **Date Range:** Unknown - Unknown
+- **Last Updated:** 2025-11-25
+- **Embedding Model:** sentence-transformers/all-MiniLM-L6-v2
+- **Embedding Dimension:** 384
+
+## Files
+
+- `chroma.sqlite3.gz` - Compressed ChromaDB database with embeddings
+- `movies.json` - Movie metadata (title, overview, cast, crew, etc.)
+- `metadata.json` - Dataset statistics and version info
+
+## Top Genres
+
+- Thriller: 263 movies
+- Action: 256 movies
+- Drama: 222 movies
+- Comedy: 217 movies
+- Horror: 167 movies
+
+## Usage
+
+### Download and Extract
+
+```python
+from huggingface_hub import hf_hub_download
+import gzip
+import shutil
+
+# Download compressed database
+db_path = hf_hub_download(
+    repo_id="YOUR_USERNAME/movie-embeddings-rag",
+    filename="chroma.sqlite3.gz",
+    repo_type="dataset"
+)
+
+# Decompress
+with gzip.open(db_path, 'rb') as f_in:
+    with open('chroma.sqlite3', 'wb') as f_out:
+        shutil.copyfileobj(f_in, f_out)
+```
+
+### Use with ChromaDB
+
+```python
+import chromadb
+
+client = chromadb.PersistentClient(path="./chroma_db")
+collection = client.get_collection("movies")
+
+# Search for movies
+results = collection.query(
+    query_texts=["science fiction movie about space"],
+    n_results=5
+)
+```
+
+## Automated Updates
+
+This dataset is automatically updated monthly via GitHub Actions with new movie releases.
+
+## License
+
+MIT License - Free to use for any purpose.

chroma.sqlite3.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:601477aa49f1015c3f493099f8936e2ce036aaee6de1e49d871a61d046aa5032
+size 6741031

metadata.json

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+{
+  "version": "2025-11-25",
+  "total_movies": 750,
+  "date_range": {
+    "earliest": "Unknown",
+    "latest": "Unknown"
+  },
+  "movies_by_year": {},
+  "top_genres": {
+    "Thriller": 263,
+    "Action": 256,
+    "Drama": 222,
+    "Comedy": 217,
+    "Horror": 167,
+    "Adventure": 141,
+    "Crime": 98,
+    "Science Fiction": 93,
+    "Romance": 92,
+    "Fantasy": 92
+  },
+  "last_updated": "2025-11-25T08:08:53.030589",
+  "embedding_model": "sentence-transformers/all-MiniLM-L6-v2",
+  "embedding_dimension": 384
+}