Update dataset - 2025-11-25

README.md

@@ -1,82 +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.
+---
+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:** 7310
+- **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.gz` - Compressed movie metadata (title, overview, cast, crew, etc.)
+- `metadata.json` - Dataset statistics and version info
+
+## Top Genres
+
+- Drama: 3751 movies
+- Comedy: 2319 movies
+- Crime: 1079 movies
+- Thriller: 1059 movies
+- Animation: 900 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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:601477aa49f1015c3f493099f8936e2ce036aaee6de1e49d871a61d046aa5032
-size 6741031
+oid sha256:a580dc5a30e04351c7686d88d81246ec668c22d1aae273ed5a29a95e36f9113c
+size 46277367

metadata.json

@@ -1,24 +1,24 @@
-{
-  "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
+{
+  "version": "2025-11-25-1745",
+  "total_movies": 7310,
+  "date_range": {
+    "earliest": "Unknown",
+    "latest": "Unknown"
+  },
+  "movies_by_year": {},
+  "top_genres": {
+    "Drama": 3751,
+    "Comedy": 2319,
+    "Crime": 1079,
+    "Thriller": 1059,
+    "Animation": 900,
+    "Mystery": 826,
+    "Action": 713,
+    "Horror": 685,
+    "Sci-Fi & Fantasy": 680,
+    "Romance": 647
+  },
+  "last_updated": "2025-11-25T17:45:08.816733",
+  "embedding_model": "sentence-transformers/all-MiniLM-L6-v2",
+  "embedding_dimension": 384
 }

movies.json.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:54fbf4ef455f1560bae96d9c1f32c6be2aa91f1e464152cd88505a25fdff8fe3
+size 5249309