chunk_id large_stringlengths 11 11 ⌀ | question_id large_stringlengths 8 8 | language large_stringclasses 1
value | chunk_index int64 0 7 ⌀ | chunk_text large_stringlengths 113 2.53k ⌀ | sparse_text large_stringlengths 128 4.15k | dense_vector listlengths 3.58k 3.58k ⌀ | sparse_indices listlengths 12 238 ⌀ | sparse_values listlengths 12 238 ⌀ | export_source large_stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|
57365314_c0 | 57365314 | elixir | 0 | Title: How to round to the next 1000 value?
Problem title: How to round to the next 1000 value?
Tags: elixir
Problem: How to round to the next 1000 value?
Code signals: How | How to round to the next 1000 value? How to round to the next 1000 value? elixir How How to round to the next 1000 value? I want to round to the next 1000 value, always rounding up. Example inputs: I can only find a Float.ceil function which is not relevant for me. | [
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0.09... | embed |
44271584_c0 | 44271584 | elixir | 0 | Title: How to invert a map?
Problem title: How to invert a map?
Tags: elixir
Problem: How to invert a map?
Code signals: How, MapSet, Enum.reduce, update_in, MapSet.new, MapSet.put | How to invert a map? How to invert a map? elixir How MapSet Enum.reduce update_in MapSet.new MapSet.put How to invert a map? What I have: What I need: I cannot seem to find such a function in elixir, and my attempts to write my own aren't going so well. Edit: I ended up with this as my final solution: | [
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45107621_c0 | 45107621 | elixir | 0 | Title: Elixir pattern match on ecto error
Problem title: Elixir pattern match on ecto error
Tags: ecto, elixir
Problem: Elixir pattern match on ecto error
Code signals: Elixir, Repo.insert, IO.puts, is_certain_ecto_error | Elixir pattern match on ecto error Elixir pattern match on ecto error ecto elixir Elixir Repo.insert IO.puts is_certain_ecto_error Elixir pattern match on ecto error I am relying on Ecto to return an error when an insert fails a database level constraint. Is it possible to run different code depending on the error type... | [
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49699688_c0 | 49699688 | elixir | 0 | "Title: Elixir regex groups and ?-mark\nProblem title: Elixir regex groups and ?-mark\nTags: regex, (...TRUNCATED) | "Elixir regex groups and ?-mark Elixir regex groups and ?-mark regex pcre elixir Elixir COMMAND:ARGS(...TRUNCATED) | [0.016845703125,-0.000091552734375,0.0029754638671875,0.0159912109375,0.00421142578125,0.0244140625,(...TRUNCATED) | [25318,38308,6835,3355,94407,136,705,10015,107,15296,31436,13940,11909,34162,13685,11678,76,4806,156(...TRUNCATED) | [0.1002197265625,0.254150390625,0.15966796875,0.1951904296875,0.2066650390625,0.0192413330078125,0.1(...TRUNCATED) | embed |
35258566_c0 | 35258566 | elixir | 0 | "Title: Is it a tail recursion\nProblem title: Is it a tail recursion\nTags: elixir\nProblem: Is it (...TRUNCATED) | "Is it a tail recursion Is it a tail recursion elixir Is it a tail recursion I have following code s(...TRUNCATED) | [-0.005889892578125,0.00653076171875,0.02001953125,0.00823974609375,0.0106201171875,0.00741577148437(...TRUNCATED) | [2071,442,10,46741,195625,1830,15296,38308,6,87,765,25632,18151,58134,28875,3525,1238,254,8999,3444,(...TRUNCATED) | [0.09637451171875,0.1524658203125,0.11572265625,0.2705078125,0.22314453125,0.1275634765625,0.1176147(...TRUNCATED) | embed |
30627233_c0 | 30627233 | elixir | 0 | "Title: Sort List elements in Elixir Lang\nProblem title: Sort List elements in Elixir Lang\nTags: e(...TRUNCATED) | "Sort List elements in Elixir Lang Sort List elements in Elixir Lang elixir Sort List Elixir Lang So(...TRUNCATED) | [0.0167236328125,0.00811767578125,-0.00970458984375,0.0166015625,-0.005615234375,-0.005645751953125,(...TRUNCATED) | [53666,32036,80854,25318,38308,15786,23,15296,765,5303,79315,7,3444,47,12989,6626,48322,76569,4626,7(...TRUNCATED) | [0.1954345703125,0.18310546875,0.18310546875,0.099609375,0.185302734375,0.187255859375,0.03108215332(...TRUNCATED) | embed |
57011849_c0 | 57011849 | elixir | 0 | "Title: Reduce list of maps in one map\nProblem title: Reduce list of maps in one map\nTags: elixir,(...TRUNCATED) | "Reduce list of maps in one map Reduce list of maps in one map elixir list-comprehension Reduce AM01(...TRUNCATED) | [-0.010498046875,-0.01141357421875,-0.00958251953125,0.0262451171875,-0.00653076171875,-0.0039978027(...TRUNCATED) | [853,106357,5303,111,22288,7,23,1632,15296,38308,4692,3220,9677,6746,7709,357,316,120337,23351,5,435(...TRUNCATED) | [0.174072265625,0.2020263671875,0.215087890625,0.08648681640625,0.237060546875,0.09783935546875,0.10(...TRUNCATED) | embed |
38865759_c0 | 38865759 | elixir | 0 | "Title: Pattern matching of exception names\nProblem title: Pattern matching of exception names\nTag(...TRUNCATED) | "Pattern matching of exception names Pattern matching of exception names elixir ArithmeticError Case(...TRUNCATED) | [0.00173187255859375,0.0196533203125,-0.0177001953125,-0.0006866455078125,0.0123291015625,0.00842285(...TRUNCATED) | [9876,22766,14858,214,111,131527,123055,15296,38308,8962,282,9523,18468,31611,43731,26253,130403,304(...TRUNCATED) | [0.1640625,0.13134765625,0.1923828125,0.049713134765625,0.0174102783203125,0.238037109375,0.171875,0(...TRUNCATED) | embed |
32011028_c0 | 32011028 | elixir | 0 | "Title: How to send emails with Phoenix framework\nProblem title: How to send emails with Phoenix fr(...TRUNCATED) | "How to send emails with Phoenix framework How to send emails with Phoenix framework phoenix-framewo(...TRUNCATED) | [0.005096435546875,0.002197265625,-0.00274658203125,0.00836181640625,0.00927734375,0.0218505859375,0(...TRUNCATED) | [11249,47,25379,3340,7,678,133720,170846,53073,33,4084,160328,18244,15296,38308,2965,2684,2082,18750(...TRUNCATED) | [0.05816650390625,0.078369140625,0.08953857421875,0.160400390625,0.02117919921875,0.09893798828125,0(...TRUNCATED) | embed |
31395097_c0 | 31395097 | elixir | 0 | "Title: Why is this Elixir code so slow?\nProblem title: Why is this Elixir code so slow?\nTags: eli(...TRUNCATED) | "Why is this Elixir code so slow? Why is this Elixir code so slow? elixir Why Elixir LineMatch File.(...TRUNCATED) | [-0.0106201171875,-0.01470947265625,-0.012451171875,0.00579833984375,0.00299072265625,-0.01031494140(...TRUNCATED) | [44084,83,903,25318,38308,18151,221,72803,15296,16777,79520,206,42724,59636,17780,7077,11435,51727,1(...TRUNCATED) | [0.117919921875,0.07415771484375,0.0521240234375,0.11669921875,0.276123046875,0.1856689453125,0.1066(...TRUNCATED) | embed |
End of preview. Expand in Data Studio
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
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 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
- 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_elixir_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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