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Datasets:
Mo7art
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Stack2Graph_VD_html

Modalities:
Text
Formats:
parquet
Size:
1M - 10M
Tags:
vector-database
embeddings
parquet
qdrant
stackoverflow
question-answering
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
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  1. README.md +115 -0
  2. chunk_records/r0_00001.parquet +3 -0
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README.md ADDED
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+ ---
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+ tags:
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+ - vector-database
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+ - embeddings
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+ - parquet
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+ - qdrant
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+ - stackoverflow
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+ - question-answering
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+ pretty_name: StackOverflow Vector Dataset - Html
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+ license: cc-by-sa-4.0
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+ size_categories:
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+ - 1M<n<10M
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+ ---
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+
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+ # Html StackOverflow Vector Dataset Datasheet
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+
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+ ## 1. What This Dataset Is
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+
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+ This dataset is the Html-specific vector shard of the Stack2Graph StackOverflow retrieval corpus.
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+ Each Hugging Face dataset repository contains exactly one language dataset.
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+
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+ It is optimized for dense+sparse retrieval, Qdrant restoration, and embedding-based RAG experiments.
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+
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+ It is used in the Stack2Graph project as the vector counterpart to the language-scoped RDF knowledge graph shards.
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+
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+ See the Stack2Graph repository for more details:
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+ [https://github.com/tha-atlas/Stack2Graph](https://github.com/tha-atlas/Stack2Graph)
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+
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+ ## 2. Repository Layout
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+
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+ ```text
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+ dataset_manifest.json
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+ question_metadata_*.parquet
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+ chunk_records_*.parquet
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+ question_records_*.parquet
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+ ```
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+
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+ - `dataset_manifest.json`: language-scoped manifest for this dataset shard.
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+ - `question_metadata_*.parquet`: per-question metadata and retrieval bookkeeping.
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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 chunking is disabled or exported alongside chunk data.
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+
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+ ## 3. Data Model And Coverage
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+
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+ The dataset is derived from Stack Overflow questions selected for the Html programming language.
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+ It contains the structured records needed to rebuild the Stack2Graph Qdrant collection for that language.
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+
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+ Coverage scope:
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+
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+ - records are retained when they match the Stack2Graph supported language-tag set
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+ - this repository contains only the Html shard
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+ - the archive may contain both metadata-only and retrieval-ready vector rows depending on the export mode
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+
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+ ## 4. Recommended Preprocessing
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+
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+ 1. Read `dataset_manifest.json` first and use it as the source of truth for included Parquet files.
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+ 2. Load all Parquet shards for this repository into your vector indexing pipeline.
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+ 3. Rebuild or restore the Qdrant collection `stackoverflow_html_vector`.
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+ 4. Preserve attribution and license metadata during downstream export.
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+
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+ ## 5. Automatic Download And Vector DB Setup
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+
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+ You do not need to regenerate embeddings from GraphDB to use this dataset.
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+
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+ In the Stack2Graph repository, you can use the automation script
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+ `python -m experiment.load_hf_datasets_into_services --skip-kg` to download dataset artifacts
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+ and prepare the vector database service state automatically.
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+
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+ Typical workflow:
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+
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+ 1. Clone and configure Stack2Graph (`.env` with HF token and service paths).
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+ 1. Clone and configure Stack2Graph (`.env` with HF token and service paths).
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+ 1. Start required local services:
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+
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+ ```bash
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+ docker compose up -d
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+ ```
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+
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+ 1. Run the loader script:
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+
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+ ```bash
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+ python -m experiment.load_hf_datasets_into_services --skip-kg
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+ ```
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+
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+ For manual usage without automation, directly ingest the listed Parquet files into your vector database.
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+
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+ ## 6. Quality Notes And Caveats
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+
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+ - A Stack Overflow question may belong to multiple language shards when tagged with multiple languages.
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+ - Embeddings and sparse representations depend on the configured export pipeline and model versions.
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+ - As with community-generated data, content may include noise, bias, and temporal drift.
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+
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+ ## 7. Intended Use
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+
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+ - semantic retrieval and reranking
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+ - RAG and hybrid retriever experiments
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+ - vector database benchmarking and diagnostics
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+ - language-scoped developer tooling research
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+
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+ ## 8. Limitations
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+
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+ - Not a complete mirror of all Stack Overflow content.
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+ - Not all export modes include the same row types or chunk layouts.
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+ - Best used together with the Stack2Graph retrieval pipeline and Qdrant-compatible tooling.
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+
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+ ## 9. Licensing And Attribution
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+
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+ This dataset inherits Stack Overflow source licensing and attribution requirements.
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+ Ensure compliant attribution and redistribution practices in all derived artifacts.
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+
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+ ## 10. Suggested Citation
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+
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+ If you use this dataset, cite the Stack2Graph work:
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+
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+ - Stack2Graph: A Structured Knowledge Representation of Stack Overflow Data for Retrieval-based Question Answering
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