Update StackOverflow vector dataset card: javascript
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README.md
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## Summary
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This repository contains the Javascript shard of the Stack2Graph vector
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The
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Stack2Graph source:
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[https://github.com/tha-atlas/Stack2Graph](https://github.com/tha-atlas/Stack2Graph)
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## Repository Layout
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```text
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README.md
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r0_00000.parquet
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chunk_records/
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r0_00000.parquet
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# or, for non-chunked exports:
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question_records/
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r0_00000.parquet
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```
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- `qdrant_snapshots/collections_manifest.json`: language-scoped Qdrant snapshot manifest.
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- `qdrant_snapshots/stackoverflow_javascript_vector.*`:
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- `question_metadata/*.parquet`: question-level metadata used by parent-child chunk retrieval.
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- `chunk_records/*.parquet`: chunk-level vector rows when parent-child indexing is enabled.
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- `question_records/*.parquet`: question-level vector rows when non-chunked export is used.
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Parent-child exports contain `question_metadata/` and `chunk_records/`. Non-chunked exports contain `question_records/` instead. A repository does not need both `chunk_records/` and `question_records/`.
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##
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Rows are derived from Stack Overflow questions tagged for Javascript.
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## Recommended Use
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Use this dataset for
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- semantic and hybrid retrieval
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- Qdrant restore or ingestion tests
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- Stack2Graph RAG experiments
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- graph entry-point retrieval before QLever graph expansion
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- vector database benchmarking and diagnostics
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This dataset is not intended as a standalone supervised training dataset.
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Typical workflow:
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1. Clone Stack2Graph and configure `.env` with service paths and HF token.
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2. Start local services:
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```bash
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## Manual Use
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For manual use, inspect `dataset_manifest.json`, then either
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- restore the Qdrant snapshot artifacts under `qdrant_snapshots/`, or
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- ingest the listed Parquet shards into a compatible vector database.
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The target Qdrant collection name is:
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If you use this dataset, cite the Stack2Graph project and preserve Stack Overflow attribution requirements:
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- Kleybolte, L. A., Ventura, V., & Zarcone, A. (2026). Stack2Graph: A Structured Knowledge Representation of Stack Overflow Data for Retrieval-based Question Answering . In Proceedings of the Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26 (pp. 120
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## Summary
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This Hugging Face dataset repository contains the Javascript shard of the Stack2Graph vector-database component as restorable Qdrant artifacts plus portable Parquet fallback files.
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Hugging Face uses one dataset repository per programming language, so this repository is directly cloneable without an extra top-level archive wrapper.
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The artifacts are intended for semantic and hybrid retrieval, graph entry-point finding, and retrieval-augmented generation experiments over Stack Overflow content.
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Stack2Graph source:
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[https://github.com/tha-atlas/Stack2Graph](https://github.com/tha-atlas/Stack2Graph)
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## Hugging Face Repository Layout
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```text
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README.md
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r0_00000.parquet
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chunk_records/
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r0_00000.parquet
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```
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- `README.md`: Hugging Face dataset card rendered from this template.
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- `dataset_manifest.json`: language-scoped manifest listing the files in this repository.
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- `qdrant_snapshots/collections_manifest.json`: language-scoped Qdrant snapshot manifest.
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- `qdrant_snapshots/stackoverflow_javascript_vector.*`: Qdrant restore artifacts for `stackoverflow_javascript_vector`.
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- `question_metadata/*.parquet`: question-level metadata used by parent-child chunk retrieval.
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- `chunk_records/*.parquet`: chunk-level vector rows when parent-child indexing is enabled.
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- `question_records/*.parquet`: question-level vector rows when non-chunked export is used.
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Parent-child exports contain `question_metadata/` and `chunk_records/`. Non-chunked exports contain `question_records/` instead. A repository does not need both `chunk_records/` and `question_records/`.
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During Hugging Face upload, the local leading language directory is removed. A local file such as `javascript/chunk_records/r0_00000.parquet` appears in this repository as `chunk_records/r0_00000.parquet`.
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## Content
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Rows are derived from Stack Overflow questions tagged for Javascript.
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## Recommended Use
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Use this dataset for semantic and hybrid retrieval, Qdrant restore or ingestion tests, Stack2Graph RAG experiments, graph entry-point retrieval before QLever graph expansion, and vector database benchmarking.
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This dataset is not intended as a standalone supervised training dataset.
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Typical workflow:
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1. Clone Stack2Graph and configure `.env` with service paths and an HF token.
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2. Start local services:
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```bash
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## Manual Use
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For manual use, inspect `dataset_manifest.json`, then either restore the Qdrant snapshot artifacts under `qdrant_snapshots/` or ingest the listed Parquet shards into a compatible vector database.
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The target Qdrant collection name is:
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If you use this dataset, cite the Stack2Graph project and preserve Stack Overflow attribution requirements:
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- Kleybolte, L. A., Ventura, V., & Zarcone, A. (2026). Stack2Graph: A Structured Knowledge Representation of Stack Overflow Data for Retrieval-based Question Answering . In Proceedings of the Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26 (pp. 120-133). European Language Resources Association (ELRA). https://doi.org/10.63317/583q4d3mwbdu.
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