chunk_id large_stringlengths 7 12 ⌀ | question_id large_stringlengths 4 8 | language large_stringclasses 1
value | chunk_index int64 0 12 ⌀ | chunk_text large_stringlengths 105 2.8k ⌀ | sparse_text large_stringlengths 69 7.02k | dense_vector listlengths 3.58k 3.58k ⌀ | sparse_indices listlengths 2 258 ⌀ | sparse_values listlengths 2 258 ⌀ | export_source large_stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|
3377229_c0 | 3377229 | shell | 0 | Title: Dialog --input box
Problem title: Dialog --input box
Tags: shell
Problem: Dialog --input box
Code signals: Dialog | Dialog --input box Dialog --input box shell Dialog Dialog --input box | [
0.01239013671875,
0.0218505859375,
-0.006622314453125,
0.01507568359375,
0.01324462890625,
0.00665283203125,
0.01092529296875,
0.000850677490234375,
-0.0011138916015625,
-0.00628662109375,
-0.0037078857421875,
-0.00640869140625,
-0.009765625,
0.041748046875,
-0.01129150390625,
-0.01226... | [
84536,
4210,
73,
7077,
16530,
128019
] | [
0.2420654296875,
0.06951904296875,
0.130615234375,
0.153564453125,
0.2159423828125,
0.2113037109375
] | embed |
18158727_c0 | 18158727 | shell | 0 | Title: Sha256 with pipe
Problem title: Sha256 with pipe
Tags: shell, sha256, bitcoin
Problem: Sha256 with pipe
Code signals: Sha256, sha256sum | Sha256 with pipe Sha256 with pipe shell sha256 bitcoin Sha256 sha256sum Sha256 with pipe Step 5-6 of manual: https://en.bitcoin.it/wiki/Technical_background_of_Bitcoin_addresses Calculating sha256sum secondly: I try to repeat step 6, but sha256sum is wrong: even this wrong too: I have read this: Generating a sha256 fro... | [
-0.0017547607421875,
-0.00927734375,
-0.0220947265625,
0.017822265625,
-0.00787353515625,
0.0120849609375,
-0.017333984375,
0.0169677734375,
0.004241943359375,
-0.005828857421875,
-0.01141357421875,
0.01123046875,
0.0264892578125,
0.0203857421875,
-0.00885009765625,
0.010986328125,
0... | [
7224,
127892,
678,
137158,
128019,
9638,
76092,
11832,
50478,
43096,
23009,
3137,
587,
217,
13691,
43721,
64330,
73,
712,
107421,
212467,
17932,
119140,
29954,
305,
44691,
155370,
10,
1295,
29908,
75101,
13315,
2046,
12,
391,
910,
174409,
157... | [
0.1629638671875,
0.305908203125,
0.06732177734375,
0.2037353515625,
0.1805419921875,
0.154052734375,
0.1866455078125,
0.2430419921875,
0.0252838134765625,
0.131591796875,
0.146240234375,
0.0229034423828125,
0.11083984375,
0.0404052734375,
0.088623046875,
0.01947021484375,
0.077758789... | embed |
13119709_c0 | 13119709 | shell | 0 | Title: dealing filenames with shell regex
Problem title: dealing filenames with shell regex
Tags: shell
Problem: dealing filenames with shell regex | dealing filenames with shell regex dealing filenames with shell regex shell dealing filenames with shell regex I have many folders inside which there are many files, the file names are like the above I want to remove those files with file names having substring "138.096.000" and sometimes I want to get the list of file... | [
0.007293701171875,
-0.0031585693359375,
0.00045013427734375,
0.0225830078125,
-0.01434326171875,
-0.016845703125,
0.0018157958984375,
0.0233154296875,
0.000263214111328125,
0.0201416015625,
-0.006683349609375,
0.0262451171875,
-0.0125732421875,
0.007476806640625,
0.003997802734375,
0.0... | [
184017,
11435,
11627,
678,
128019,
6835,
3355,
5941,
78303,
46132,
102158,
123055,
1884,
36917,
3444,
87388,
1614,
91693,
141535,
6463,
89546,
68018,
5303,
9508,
4836
] | [
0.156982421875,
0.125732421875,
0.1751708984375,
0.0841064453125,
0.208251953125,
0.1292724609375,
0.19384765625,
0.051513671875,
0.1109619140625,
0.079345703125,
0.126708984375,
0.1021728515625,
0.006744384765625,
0.004638671875,
0.0282440185546875,
0.1151123046875,
0.1114501953125,... | embed |
47057926_c0 | 47057926 | shell | 0 | "Title: Shell merge two file\nProblem title: Shell merge two file\nTags: awk, join, linux, shell\nPr(...TRUNCATED) | "Shell merge two file Shell merge two file awk join linux shell Shell dNsUkWOMk9lNJ Shell merge two (...TRUNCATED) | [0.01116943359375,0.0033721923828125,-0.00634765625,0.0181884765625,0.003936767578125,0.01611328125,(...TRUNCATED) | [108362,42564,6626,11435,434,92,33284,11508,6077,128019,839,1062,101977,31626,1126,91551,102158,3444(...TRUNCATED) | [0.2017822265625,0.2626953125,0.192626953125,0.199462890625,0.0594482421875,0.1197509765625,0.192260(...TRUNCATED) | embed |
29631618_c0 | 29631618 | shell | 0 | "Title: Bash column altering\nProblem title: Bash column altering\nTags: tr, netflow, shell, linux, (...TRUNCATED) | "Bash column altering Bash column altering tr netflow shell linux bash Bash UDP TCP ICMP Bash column(...TRUNCATED) | [0.004425048828125,0.007568359375,-0.00732421875,0.05126953125,0.0185546875,-0.0022125244140625,-0.0(...TRUNCATED) | [144334,3365,316,144,33558,4307,2043,118664,128019,11508,6077,87109,28399,17854,9088,765,3060,2053,2(...TRUNCATED) | [0.1956787109375,0.17919921875,0.1484375,0.1541748046875,0.0997314453125,0.2587890625,0.056060791015(...TRUNCATED) | embed |
73369235_c0 | 73369235 | shell | 0 | "Title: reformatting data to nice format\nProblem title: reformatting data to nice format\nTags: she(...TRUNCATED) | "reformatting data to nice format reformatting data to nice format shell awk in.dat reformatting dat(...TRUNCATED) | [-0.0159912109375,-0.00823974609375,0.0029754638671875,0.0174560546875,0.01202392578125,0.0033264160(...TRUNCATED) | [23491,19514,2053,47,26267,9384,128019,10,434,92,23,5,5164,87,765,17262,3365,316,1779,70541,28960,34(...TRUNCATED) | [0.2197265625,0.1275634765625,0.179931640625,0.131103515625,0.2066650390625,0.216796875,0.1831054687(...TRUNCATED) | embed |
73271264_c0 | 73271264 | shell | 0 | "Title: assign 2 variables in 1 command\nProblem title: assign 2 variables in 1 command\nTags: bash,(...TRUNCATED) | "assign 2 variables in 1 command assign 2 variables in 1 command bash shell script.sh assign 2 varia(...TRUNCATED) | [0.01153564453125,0.01007080078125,-0.022705078125,0.0283203125,0.00081634521484375,0.00497436523437(...TRUNCATED) | [95486,116,77336,7,23,106,75101,87109,128019,26499,1495,28412,163,23180,1733,590,2676,34292,304,7046(...TRUNCATED) | [0.25341796875,0.20068359375,0.264404296875,0.088134765625,0.078125,0.10186767578125,0.2281494140625(...TRUNCATED) | embed |
31132479_c0 | 31132479 | shell | 0 | "Title: Checking number prefix\nProblem title: Checking number prefix\nTags: awk, grep, shell, unix\(...TRUNCATED) | "Checking number prefix Checking number prefix awk grep shell unix Checking file1 file2 FNR Checking(...TRUNCATED) | [-0.01025390625,-0.013671875,-0.003875732421875,0.0147705078125,0.00506591796875,-0.00421142578125,0(...TRUNCATED) | [38679,214,14012,183114,434,92,3514,254,128019,51,4084,11435,418,304,563,83752,63134,26499,82424,173(...TRUNCATED) | [0.1990966796875,0.0170440673828125,0.186279296875,0.26318359375,0.0885009765625,0.125244140625,0.18(...TRUNCATED) | embed |
48531129_c0 | 48531129 | shell | 0 | "Title: Getting script exec time\nProblem title: Getting script exec time\nTags: shell, awk, bash, s(...TRUNCATED) | "Getting script exec time Getting script exec time shell awk bash sed sh Getting total_time Getting (...TRUNCATED) | [-0.0115966796875,0.0018157958984375,-0.006500244140625,0.0191650390625,-0.00098419189453125,-0.0055(...TRUNCATED) | [210732,26499,1119,3240,1733,128019,434,92,87109,1736,7547,3622,6032,31577,7413,1810,71924,25632,184(...TRUNCATED) | [0.09259033203125,0.2275390625,0.04571533203125,0.17041015625,0.1759033203125,0.12744140625,0.067382(...TRUNCATED) | embed |
9925182_c0 | 9925182 | shell | 0 | "Title: bash-if block not working\nProblem title: bash-if block not working\nTags: bash, shell\nProb(...TRUNCATED) | "bash-if block not working bash-if block not working bash shell HostList.txt table.html bash-if bloc(...TRUNCATED) | [0.003753662109375,0.01007080078125,-0.003662109375,0.020751953125,0.00311279296875,0.01019287109375(...TRUNCATED) | [87109,9,3190,46389,959,20697,128019,100932,154663,124326,23180,7693,35064,18151,62775,2174,1724,389(...TRUNCATED) | [0.158935546875,0.0221099853515625,0.1910400390625,0.2452392578125,0.1334228515625,0.1705322265625,0(...TRUNCATED) | embed |
Shell StackOverflow Vector Dataset Datasheet
1. What This Dataset Is
This dataset is the Shell-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 Shell 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 Shell 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_shell_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
- Downloads last month
- 14