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Add Streaming Support for Hugging Face Parquet Datasets Similar to Chunk-Based Streaming
Motivation
Currently, the entire dataset must be downloaded before indexing, resulting in significant waiting time before streaming can begin. This approach is inefficient, especially for datasets with a large number of chunks.
Pitch
The proposed solution is to read only the metadata of all Parquet files using byte-range requests, allowing for quick indexing. Streaming can then proceed similarly to LitData's chunk-based streaming approach.
🚀 Feature Request
Add Streaming Support for Hugging Face Parquet Datasets Similar to Chunk-Based Streaming
Motivation
Currently, the entire dataset must be downloaded before indexing, resulting in significant waiting time before streaming can begin. This approach is inefficient, especially for datasets with a large number of chunks.
Pitch
The proposed solution is to read only the metadata of all Parquet files using byte-range requests, allowing for quick indexing. Streaming can then proceed similarly to LitData's chunk-based streaming approach.
Reference: Introduction to Parquet Format
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