v3.9.50 🌈

🧭 What's Changed

• Updated versions for 3.9.50 release (#3069) @activesoull
• Refactor frame extraction logic and improve frame rate retrieval in L… (#3071) @azat-manukyan

⚙️ Who Contributes

@activesoull and @azat-manukyan

v3.9.46 🌈

🧭 What's Changed

• Base mmsegmentation dataset (#3060) @activesoull
  added a base mmsegmentation dataset class where in case of using mmseg 1.x version you need to inherit from to make integration workflow smoother

• 3.9.46 (#3058) @activesoull

⚙️ Who Contributes

@activesoull

v4.2.14 🌈

• Added Audio type
• Fixed conversion from V3 for Polygon type

v4.2.12 🌈

• Added autocommit.
• Improved parallel ingestion and compaction functionality
• Added zlib compression support for SegmentMask type
• Added embeddings indexing support for float16 and bfloat16
• Added AVG function to TQL
• Improved SAMPLE BY in TQL
• Added images support for labelbox integration

v4.2.8 🌈

• Added from_csv, extended from_parquet to support content bytes
• Added zlib and lz4 sample compression for SegmentMask type

v3.9.45 🌈

🧭 What's Changed

• added sampler setter function (#3057) @activesoull
• Hierarchical namespace (#3056) @activesoull
• Updated versions for 3.9.45 release (#3045) @activesoull

⚙️ Who Contributes

@activesoull

v4.2.7 🌈

Deeplake new release brings the following major changes:

###New features:

• BM25 and Inverted index now support full unicode
• New text index type - Exact, for comparison and IN operations
• Added ability to run batch queries
• Struct types now support other rich types, including images
• Ability to access raw bytes from the dataset/column
• Improved tagging and branching apis to support message and timestamp

Bugfixes and improvements:

• Improved compaction consistency during parallel data modification
• Fixed chunking strategy to avoid too large chunks

v4.2.3 🌈

• Added compaction of datafiles
• Improved images ingestion and streaming
• Added new index type for text comparison
• Improved handling of async operations
• Support async iteration on ds.batches

v4.2.1 🌈

Deeplake 4.2 release brings major changes to the deeplake format, while keeping backward compatibility.

• Commit compaction - Deeplake automatically compacts the small commits. Making dataset opens faster.
• Improved and stabilized deeplake async api - open_read_only_async, open_async, query_async, commit_async
• deeplake.like now copies dataset and columns metadata
• ds[row] is now convertible to Python dict

v4.1.17 🌈

• Fixed dataset size when concurrently deleting the same row.