chunk_id large_stringlengths 7 12 ⌀ | question_id large_stringlengths 4 8 | language large_stringclasses 1
value | chunk_index int64 0 10 ⌀ | chunk_text large_stringlengths 166 2.89k ⌀ | sparse_text large_stringlengths 143 5.32k | dense_vector listlengths 3.58k 3.58k ⌀ | sparse_indices listlengths 15 287 ⌀ | sparse_values listlengths 15 287 ⌀ | export_source large_stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|
49006493_c0 | 49006493 | abap | 0 | Title: Specific layout in an ALV
Problem title: Specific layout in an ALV
Tags: alv, abap
Problem: Specific layout in an ALV
Code signals: Specific, ALV, KAGR1, KAGR2 | Specific layout in an ALV Specific layout in an ALV alv abap Specific ALV KAGR1 KAGR2 Specific layout in an ALV In an ITAB I have 3 fields: ACCOUNT-OBJECT_AMOUNT and a sample is: And I want the display to be like the below: Can anyone know how to display it in an ALV? Thanks | [
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1466917_c0 | 1466917 | abap | 0 | Title: Query SAP database from Python?
Problem title: Query SAP database from Python?
Tags: sap-basis, abap, pyrfc, python
Problem: Query SAP database from Python? Can Python be used to query a SAP database?
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7989409_c0 | 7989409 | abap | 0 | Title: Suppress duplicated entries in a table
Problem title: Suppress duplicated entries in a table
Tags: report, internal-tables, duplicates, abap
Problem: Suppress duplicated entries in a table
Code signals: Suppress, Sales, Org, Dist.Channel, Division | Suppress duplicated entries in a table Suppress duplicated entries in a table report internal-tables duplicates abap Suppress Sales Org Dist.Channel Division Suppress duplicated entries in a table How do i suppress duplicate entries in both classical (write) and ALV report? I was given a task to write a simple report w... | [
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45934596_c0 | 45934596 | abap | 0 | "Title: Insert data to itab in Debugger\nProblem title: Insert data to itab in Debugger\nTags: debug(...TRUNCATED) | "Insert data to itab in Debugger Insert data to itab in Debugger debugging abap Insert Debugger Inse(...TRUNCATED) | [0.0174560546875,-0.0037994384765625,0.00201416015625,0.0228271484375,0.000293731689453125,0.0130615(...TRUNCATED) | [360,33657,2053,47,17,9843,262,978,21407,23,8,15855,254,831,183540,15555,7,23180,450,83,201505,22252(...TRUNCATED) | [0.05816650390625,0.146240234375,0.12103271484375,0.117919921875,0.06463623046875,0.2020263671875,0.(...TRUNCATED) | embed |
39994202_c0 | 39994202 | abap | 0 | "Title: How can I find long reports?\nProblem title: How can I find long reports?\nTags: abap\nProbl(...TRUNCATED) | "How can I find long reports? How can I find long reports? abap How How can I find long reports? How(...TRUNCATED) | [0.0067138671875,0.0135498046875,-0.0023956298828125,0.01031494140625,-0.025634765625,0.006805419921(...TRUNCATED) | [11249,831,87,7413,4989,117729,15855,254,756,450,765,1286,3501,1781,2445,124519,12765,134165,8244,83(...TRUNCATED) | [0.08270263671875,0.09478759765625,0.06256103515625,0.1806640625,0.1907958984375,0.281982421875,0.04(...TRUNCATED) | embed |
51818130_c0 | 51818130 | abap | 0 | "Title: SAP ABAP delete a workflow\nProblem title: SAP ABAP delete a workflow\nTags: workflow, abap\(...TRUNCATED) | "SAP ABAP delete a workflow SAP ABAP delete a workflow workflow abap SAP ABAP SAP ABAP delete a work(...TRUNCATED) | [0.0263671875,0.03271484375,-0.00531005859375,-0.003387451171875,-0.0079345703125,-0.01055908203125,(...TRUNCATED) | [83268,11321,15383,154109,10,4488,118664,15855,254,765,51042,23,3564,9393,40956,14240,3444,47,64,439(...TRUNCATED) | [0.2025146484375,0.106201171875,0.2001953125,0.24560546875,0.04315185546875,0.1278076171875,0.309326(...TRUNCATED) | embed |
13450505_c0 | 13450505 | abap | 0 | "Title: Smoke Testing and Monkey Testing in ABAP\nProblem title: Smoke Testing and Monkey Testing in(...TRUNCATED) | "Smoke Testing and Monkey Testing in ABAP Smoke Testing and Monkey Testing in ABAP monkey-testing sm(...TRUNCATED) | [0.0025177001953125,0.0267333984375,0.01470947265625,0.025634765625,0.00531005859375,-0.001098632812(...TRUNCATED) | [57549,350,8647,214,136,213289,23,11321,15383,2667,19770,6954,2614,15855,254,831,17,54,134234,2685,7(...TRUNCATED) | [0.199462890625,0.186279296875,0.22998046875,0.0797119140625,0.118896484375,0.205322265625,0.1187744(...TRUNCATED) | embed |
20610184_c0 | 20610184 | abap | 0 | "Title: difference between tables and data in abap\nProblem title: difference between tables and dat(...TRUNCATED) | "difference between tables and data in abap difference between tables and data in abap abap differen(...TRUNCATED) | [0.030029296875,0.00750732421875,-0.018798828125,0.0233154296875,0.0003643035888671875,0.00765991210(...TRUNCATED) | [
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51611319_c0 | 51611319 | abap | 0 | "Title: Convert database query result to json/yaml/xml with ABAP\nProblem title: Convert database qu(...TRUNCATED) | "Convert database query result to json/yaml/xml with ABAP Convert database query result to json/yaml(...TRUNCATED) | [0.013916015625,0.012939453125,-0.0031585693359375,0.0216064453125,-0.0137939453125,-0.0013122558593(...TRUNCATED) | [1657,11549,63399,41,1294,16750,47,1647,1681,14520,141,64,131492,678,11321,15383,15855,254,2685,10,3(...TRUNCATED) | [0.050872802734375,0.15478515625,0.1734619140625,0.14306640625,0.107666015625,0.1639404296875,0.0987(...TRUNCATED) | embed |
28945545_c0 | 28945545 | abap | 0 | "Title: Can I set the background color of the ABAP editor?\nProblem title: Can I set the background (...TRUNCATED) | "Can I set the background color of the ABAP editor? Can I set the background color of the ABAP edito(...TRUNCATED) | [0.0162353515625,0.0179443359375,0.00897216796875,0.029052734375,-0.008544921875,-0.01263427734375,-(...TRUNCATED) | [
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End of preview. Expand in Data Studio
Abap StackOverflow Vector Dataset Datasheet
1. What This Dataset Is
This dataset is the Abap-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
2. Repository Layout
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 Abap 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 Abap shard
- the archive may contain both metadata-only and retrieval-ready vector rows depending on the export mode
4. Recommended Preprocessing
- Read
dataset_manifest.jsonfirst and use it as the source of truth for included Parquet files. - Load all Parquet shards for this repository into your vector indexing pipeline.
- Rebuild or restore the Qdrant collection
stackoverflow_abap_vector. - 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:
- Clone and configure Stack2Graph (
.envwith HF token and service paths). - Clone and configure Stack2Graph (
.envwith HF token and service paths). - Start required local services:
docker compose up -d
- Run the loader script:
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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