Add files using upload-large-folder tool

README.md

@@ -12,104 +12,126 @@ size_categories:
   - 1M<n<10M
 ---
 
-# Abap StackOverflow Vector Dataset Datasheet
+# Abap StackOverflow Vector Dataset
 
-## 1. What This Dataset Is
+## Summary
 
-This dataset is the Abap-specific vector shard of the Stack2Graph StackOverflow retrieval corpus.
-Each Hugging Face dataset repository contains exactly one language dataset.
+This repository contains the Abap 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_abap_vector`.
 
-It is optimized for dense+sparse retrieval, Qdrant restoration, and embedding-based RAG experiments.
+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.
 
-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:
+Stack2Graph source:
 [https://github.com/tha-atlas/Stack2Graph](https://github.com/tha-atlas/Stack2Graph)
 
-## 2. Repository Layout
+## Repository Layout
 
 ```text
+README.md
 dataset_manifest.json
-question_metadata_*.parquet
-chunk_records_*.parquet
-question_records_*.parquet
+qdrant_snapshots/
+  collections_manifest.json
+  stackoverflow_abap_vector.tar.xz
+  stackoverflow_abap_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 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.
+- `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_abap_vector.*`: optional Qdrant restore artifact files for `stackoverflow_abap_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 `abap/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 Abap.
+
+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
 
-## 3. Data Model And Coverage
+When Qdrant snapshots are included, they are the fastest restore path. The Parquet files remain the portable fallback for rebuilding the collection.
 
-The dataset is derived from Stack Overflow questions selected for the Abap programming language.
-It contains the structured records needed to rebuild the Stack2Graph Qdrant collection for that language.
+## Coverage
 
-Coverage scope:
+This repository contains only the Abap shard. A Stack Overflow question can appear in more than one language shard when it has multiple programming-language tags.
 
-- records are retained when they match the Stack2Graph supported language-tag set
-- this repository contains only the Abap shard
-- the archive may contain both metadata-only and retrieval-ready vector rows depending on the export mode
+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.
 
-## 4. Recommended Preprocessing
+## Recommended Use
 
-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_abap_vector`.
-4. Preserve attribution and license metadata during downstream export.
+Use this dataset for:
 
-## 5. Automatic Download And Vector DB Setup
+- 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.
 
-You do not need to regenerate embeddings from GraphDB to use this dataset.
+## Restore With Stack2Graph
 
-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.
+You do not need to regenerate embeddings to use this dataset.
 
 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:
+1. Clone Stack2Graph and configure `.env` with service paths and HF token.
+2. Start local services:
 
 ```bash
 docker compose up -d
 ```
 
-1. Run the loader script:
+3. Download and restore vector artifacts:
 
 ```bash
-python -m experiment.load_hf_datasets_into_services --skip-kg
+python -m experiment.sources.hf --skip-kg
 ```
 
-For manual usage without automation, directly ingest the listed Parquet files into your vector database.
+The loader restores Qdrant snapshots when present and falls back to Parquet ingestion when snapshots are unavailable.
 
-## 6. Quality Notes And Caveats
+## Manual Use
 
-- 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.
+For manual use, inspect `dataset_manifest.json`, then either:
 
-## 7. Intended Use
+- restore the Qdrant snapshot artifacts under `qdrant_snapshots/`, or
+- ingest the listed Parquet shards into a compatible vector database.
 
-- semantic retrieval and reranking
-- RAG and hybrid retriever experiments
-- vector database benchmarking and diagnostics
-- language-scoped developer tooling research
+The target Qdrant collection name is:
+
+```text
+stackoverflow_abap_vector
+```
 
-## 8. Limitations
+## Quality Notes
 
-- 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.
+- 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.
 
-## 9. Licensing And Attribution
+## License And Attribution
 
-This dataset inherits Stack Overflow source licensing and attribution requirements.
-Ensure compliant attribution and redistribution practices in all derived artifacts.
+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.
 
-## 10. Suggested Citation
+## Citation
 
-If you use this dataset, cite the Stack2Graph work:
+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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