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4536046_c0
4536046
erlang
0
Title: test if a string is a number Problem title: test if a string is a number Tags: erlang Problem: test if a string is a number How to test if a string is composed only of digits ?
test if a string is a number test if a string is a number erlang test if a string is a number How to test if a string is composed only of digits ?
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4888729_c0
4888729
erlang
0
Title: Erlang mime type Problem title: Erlang mime type Tags: mime, file, erlang Problem: Erlang mime type How can i know mime type of file with Erlang? Thank you. Code signals: Erlang
Erlang mime type Erlang mime type mime file erlang Erlang Erlang mime type How can i know mime type of file with Erlang? Thank you.
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[ 1004, 3066, 324, 282, 10644, 11435, 72, 831, 17, 3714, 111, 678 ]
[ 0.1673583984375, 0.26611328125, 0.1842041015625, 0.2010498046875, 0.181640625, 0.18115234375, 0.0755615234375, 0.043365478515625, 0.025482177734375, 0.111328125, 0.06280517578125, 0.0601806640625 ]
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1811516_c0
1811516
erlang
0
Title: Integrating Erlang with C++ Problem title: Integrating Erlang with C++ Tags: erlang, c%2B%2B Problem: Integrating Erlang with C++ What interfaces exist to tie Erlang with C++? Code signals: Integrating, Erlang
Integrating Erlang with C++ Integrating Erlang with C++ erlang c%2B%2B Integrating Erlang Integrating Erlang with C++ What interfaces exist to tie Erlang with C++?
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[ 91969, 1004, 3066, 678, 313, 37223, 1916, 72, 501, 167218, 101758, 7, 32316, 4817 ]
[ 0.197265625, 0.16162109375, 0.283935546875, 0.1669921875, 0.078857421875, 0.27392578125, 0.07611083984375, 0.11993408203125, 0.07916259765625, 0.036285400390625, 0.1885986328125, 0.0233306884765625, 0.07904052734375, 0.146240234375 ]
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2432200_c0
2432200
erlang
0
"Title: Erlang: Mnesia or Mysql?\nProblem title: Erlang: Mnesia or Mysql?\nTags: erlang, mnesia, dat(...TRUNCATED)
"Erlang: Mnesia or Mysql? Erlang: Mnesia or Mysql? erlang mnesia database Erlang Mnesia Mysql Erlang(...TRUNCATED)
[0.01287841796875,0.0179443359375,0.004425048828125,0.0289306640625,0.004852294921875,0.009216308593(...TRUNCATED)
[ 1004, 3066, 12, 276, 86, 3478, 707, 2646, 7, 99247, 32, 72, 49097, 63399, 4865, 57976, 13439, 4527, 678, 44084 ]
[0.1820068359375,0.29052734375,0.0557861328125,0.09698486328125,0.2052001953125,0.27587890625,0.1157(...TRUNCATED)
embed
2312307_c0
2312307
erlang
0
"Title: What is an Erlang hrl file?\nProblem title: What is an Erlang hrl file?\nTags: header-files,(...TRUNCATED)
"What is an Erlang hrl file? What is an Erlang hrl file? header-files erlang What Erlang What is an (...TRUNCATED)
[0.015869140625,-0.00445556640625,-0.003936767578125,0.006195068359375,0.00115966796875,0.0004882812(...TRUNCATED)
[ 4865, 1004, 3066, 10979, 141, 11435, 10336, 56, 29822, 72, 83, 4097, 23658, 35773, 191619 ]
[0.029632568359375,0.1312255859375,0.235595703125,0.11572265625,0.1502685546875,0.1968994140625,0.09(...TRUNCATED)
embed
35161949_c0
35161949
erlang
0
"Title: weird erlang behavior, dealing with large bitstrings\nProblem title: weird erlang behavior, (...TRUNCATED)
"weird erlang behavior, dealing with large bitstrings weird erlang behavior, dealing with large bits(...TRUNCATED)
[0.02392578125,0.0166015625,-0.0081787109375,-0.00506591796875,0.003509521484375,-0.0002880096435546(...TRUNCATED)
[179459,72,3066,123166,184017,678,21334,4785,91693,3647,13307,112,40899,56,141,7,96760,29569,4633,92(...TRUNCATED)
[0.1573486328125,0.15966796875,0.2646484375,0.1219482421875,0.08575439453125,0.0275115966796875,0.11(...TRUNCATED)
embed
3586681_c0
3586681
erlang
0
"Title: Reverse a Integer Erlang\nProblem title: Reverse a Integer Erlang\nTags: erlang\nProblem: Re(...TRUNCATED)
"Reverse a Integer Erlang Reverse a Integer Erlang erlang Reverse Integer Erlang Reverse a Integer E(...TRUNCATED)
[-0.0390625,0.0244140625,0.00164794921875,0.0247802734375,-0.009521484375,0.013916015625,-0.00263977(...TRUNCATED)
[853,37676,10,44401,1004,3066,72,87,444,16487,100,23468,3917,47,39531,184,142,892,1505,23,89536,8705(...TRUNCATED)
[0.118408203125,0.296142578125,0.0418701171875,0.24169921875,0.1844482421875,0.2978515625,0.17016601(...TRUNCATED)
embed
5475280_c0
5475280
erlang
0
"Title: Install Erlang on SUSE\nProblem title: Install Erlang on SUSE\nTags: opensuse, erlang, erlan(...TRUNCATED)
"Install Erlang on SUSE Install Erlang on SUSE opensuse erlang erlang-otp Install Erlang SUSE Instal(...TRUNCATED)
[0.004425048828125,0.012939453125,0.00567626953125,0.01226806640625,-0.01165771484375,-0.01647949218(...TRUNCATED)
[ 107951, 1004, 3066, 98, 159, 78441, 9803, 76167, 72, 818, 254, 3630, 17997, 3642, 47, 20600, 294, 4541, 617, 21373 ]
[0.1624755859375,0.200439453125,0.323974609375,0.11212158203125,0.0689697265625,0.1990966796875,0.11(...TRUNCATED)
embed
5271174_c0
5271174
erlang
0
"Title: How to get N bits from binary\nProblem title: How to get N bits from binary\nTags: erlang\nP(...TRUNCATED)
"How to get N bits from binary How to get N bits from binary erlang binary How How to get N bits fro(...TRUNCATED)
[-0.017822265625,-0.00099945068359375,-0.007293701171875,0.00384521484375,0.00787353515625,0.0106811(...TRUNCATED)
[ 11249, 47, 2046, 541, 4785, 7, 1295, 2394, 6635, 72, 3066, 765, 3642, 442, 304, 4904, 35046, 5117 ]
[0.08599853515625,0.0865478515625,0.143798828125,0.21142578125,0.21240234375,0.1190185546875,0.12524(...TRUNCATED)
embed
24746291_c0
24746291
erlang
0
"Title: Erlang repetition string in string\nProblem title: Erlang repetition string in string\nTags:(...TRUNCATED)
"Erlang repetition string in string Erlang repetition string in string erlang Erlang Erlang repetiti(...TRUNCATED)
[-0.0164794921875,-0.0087890625,-0.0220947265625,0.028076171875,-0.00750732421875,0.01177978515625,0(...TRUNCATED)
[ 1004, 3066, 57346, 1363, 79315, 23, 72, 87, 765, 11249, 54, 74481, 67, 14012, 111, 2055, 238, 5256 ]
[0.147216796875,0.256103515625,0.289306640625,0.023956298828125,0.2254638671875,0.0538330078125,0.07(...TRUNCATED)
embed
End of preview. Expand in Data Studio

Erlang StackOverflow Vector Dataset Datasheet

1. What This Dataset Is

This dataset is the Erlang-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 Erlang 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 Erlang 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_erlang_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).
  2. Clone and configure Stack2Graph (.env with HF token and service paths).
  3. Start required local services:
docker compose up -d
  1. 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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