Implement Streaming Pipeline for Large RDF Datasets #50

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opened 2026-01-16 14:26:09 +00:00 by aditya · 0 comments
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Description:
Implement incremental streaming and upload pipeline for large RDF datasets (RDF/XML, Turtle, N-Triples) to HuggingFace Hub. The pipeline should support processing multi-GB datasets without loading them fully into memory, with automatic shard generation and incremental Parquet uploads.

Acceptance Criteria:

  • Stream RDF data from HTTP sources or local files
  • Convert to Parquet shards incrementally
  • Upload shards to HuggingFace during processing
  • Support checkpoint/resume functionality for interrupted uploads
**Description:** Implement incremental streaming and upload pipeline for large RDF datasets (RDF/XML, Turtle, N-Triples) to HuggingFace Hub. The pipeline should support processing multi-GB datasets without loading them fully into memory, with automatic shard generation and incremental Parquet uploads. **Acceptance Criteria:** - Stream RDF data from HTTP sources or local files - Convert to Parquet shards incrementally - Upload shards to HuggingFace during processing - Support checkpoint/resume functionality for interrupted uploads
aditya added the
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High
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21
labels 2026-01-16 14:26:09 +00:00
aditya self-assigned this 2026-01-16 14:26:09 +00:00
aditya added this to the Sprint Jan 1st- 14th project 2026-01-16 14:26:09 +00:00
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Reference: cleverdatasets/dataset-uploader#50