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README.md

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

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