Clean StackOverflow vector language dataset before upload: elixir

README.md

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----
-tags:
-  - vector-database
-  - embeddings
-  - parquet
-  - qdrant
-  - stackoverflow
-  - question-answering
-pretty_name: StackOverflow Vector Dataset - Elixir
-license: cc-by-sa-4.0
-size_categories:
-  - 1M<n<10M
----
-
-# Elixir StackOverflow Vector Dataset Datasheet
-
-## 1. What This Dataset Is
-
-This dataset is the Elixir-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 Elixir 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 Elixir 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_elixir_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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dataset_manifest.json

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-{
-  "file_count": 10,
-  "files": [
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-      "language": "elixir",
-      "relative_path": "chunk_records/r0_00000.parquet",
-      "rows": 1475
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-    {
-      "category": "chunk_records",
-      "language": "elixir",
-      "relative_path": "chunk_records/r1_00000.parquet",
-      "rows": 1474
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-      "category": "chunk_records",
-      "language": "elixir",
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-      "language": "elixir",
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-    {
-      "category": "question_metadata",
-      "language": "elixir",
-      "relative_path": "question_metadata/r0_00000.parquet",
-      "rows": 5000
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-      "language": "elixir",
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-    }
-  ],
-  "language": "elixir",
-  "source": "vector_dataset_language_folder",
-  "total_rows": 21433
-}

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