Datasets:

Mo7art
/

Stack2Graph_VD_bash

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----
-tags:
-  - vector-database
-  - embeddings
-  - parquet
-  - qdrant
-  - stackoverflow
-  - question-answering
-pretty_name: StackOverflow Vector Dataset - Bash
-license: cc-by-sa-4.0
-size_categories:
-  - 1M<n<10M
----
-# Bash StackOverflow Vector Dataset
-## Summary
-This repository contains the Bash shard of the Stack2Graph vector retrieval dataset.
-Each Hugging Face dataset repository contains one programming-language shard and is intended to restore or rebuild the Qdrant collection `stackoverflow_bash_vector`.
-The dataset is the vector counterpart to the Stack2Graph RDF knowledge graph. It is designed for hybrid retrieval, graph entry-point finding, and retrieval-augmented generation experiments over Stack Overflow content.
-Stack2Graph source:
-[https://github.com/tha-atlas/Stack2Graph](https://github.com/tha-atlas/Stack2Graph)
-## Repository Layout
-```text
-README.md
-dataset_manifest.json
-qdrant_snapshots/
-  collections_manifest.json
-  stackoverflow_bash_vector.tar.xz
-  stackoverflow_bash_vector.snapshot.xz.part_000
-  ...
-question_metadata/
-  r0_00000.parquet
-chunk_records/
-  r0_00000.parquet
-question_records/
-  r0_00000.parquet
-```
-- `dataset_manifest.json`: language-scoped manifest listing the files in this shard.
-- `qdrant_snapshots/collections_manifest.json`: language-scoped Qdrant snapshot manifest.
-- `qdrant_snapshots/stackoverflow_bash_vector.*`: optional Qdrant restore artifact files for `stackoverflow_bash_vector`.
-- `question_metadata/*.parquet`: question-level metadata used by parent-child chunk retrieval.
-- `chunk_records/*.parquet`: chunk-level vector rows when parent-child indexing is enabled.
-- `question_records/*.parquet`: question-level vector rows when non-chunked export is used.
-The Hugging Face upload is one repository per language. During upload, the local leading language directory is removed, so local files such as `bash/chunk_records/r0_00000.parquet` appear in this repository as `chunk_records/r0_00000.parquet`.
-## Data Model
-Rows are derived from Stack Overflow questions tagged for Bash.
-The current Stack2Graph vector pipeline uses:
-- dense vectors from `Qwen/Qwen3-Embedding-8B`
-- 4096-dimensional dense embeddings with last-token pooling
-- instruction-aware query embedding for retrieval
-- sparse lexical vectors from `BAAI/bge-m3`
-- unified question text containing title, tags, cleaned problem text, and code
-- optional parent-child indexing where chunk hits collapse back to parent question IDs
-When Qdrant snapshots are included, they are the fastest restore path. The Parquet files remain the portable fallback for rebuilding the collection.
-## Coverage
-This repository contains only the Bash shard. A Stack Overflow question can appear in more than one language shard when it has multiple programming-language tags.
-The dataset is not a complete Stack Overflow mirror. Full question and answer graph context lives in the corresponding Stack2Graph knowledge graph artifacts; the vector dataset stores retrieval rows, vectors, sparse weights, and routing metadata.
-## Recommended Use
-Use this dataset for:
-- semantic and hybrid retrieval
-- Qdrant restore or ingestion tests
-- Stack2Graph RAG experiments
-- graph entry-point retrieval before QLever graph expansion
-- vector database benchmarking and diagnostics
-This dataset is not intended as a standalone supervised training dataset.
-## Restore With Stack2Graph
-You do not need to regenerate embeddings to use this dataset.
-Typical workflow:
-1. Clone Stack2Graph and configure `.env` with service paths and HF token.
-2. Start local services:
-```bash
-docker compose up -d
-```
-3. Download and restore vector artifacts:
-```bash
-python -m experiment.sources.hf --skip-kg
-```
-The loader restores Qdrant snapshots when present and falls back to Parquet ingestion when snapshots are unavailable.
-## Manual Use
-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.
-The target Qdrant collection name is:
-```text
-stackoverflow_bash_vector
-```
-## Quality Notes
-- Embedding quality depends on the configured Stack2Graph export pipeline and model versions.
-- Sparse text can be generated from the same unified text as dense embeddings or from a lexical variant, depending on export configuration.
-- Community-generated Stack Overflow content may contain errors, outdated information, bias, or incomplete answers.
-- Rebuilding from Parquet may produce operational differences if Qdrant collection settings differ from the original export.
-## License And Attribution
-This dataset is derived from Stack Overflow content and is distributed under `CC-BY-SA-4.0`.
-Preserve required attribution and license notices when redistributing derived artifacts.
-## Citation
-If you use this dataset, cite the Stack2Graph project and preserve Stack Overflow attribution requirements:
-- Stack2Graph: A Structured Knowledge Representation of Stack Overflow Data for Retrieval-based Question Answering

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