chunk_id large_stringlengths 7 11 ⌀ | question_id large_stringlengths 4 8 | language large_stringclasses 1
value | chunk_index int64 0 5 ⌀ | chunk_text large_stringlengths 101 2.81k ⌀ | sparse_text large_stringlengths 84 3.26k | dense_vector listlengths 3.58k 3.58k ⌀ | sparse_indices listlengths 0 241 ⌀ | sparse_values listlengths 0 241 ⌀ | export_source large_stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|
40201647_c2 | 40201647 | matlab | 2 | 5 0.3214 0.3918 0.4682 0.5455 0.6184 0.6834 0.7389 0.7848 0.8221 0.8521 0.8761 0.8954 0.9108 0.9232 0.9332 0.9413 0.9479 0.9533 0.9576
Code signals: Matlab | 5 0.3214 0.3918 0.4682 0.5455 0.6184 0.6834 0.7389 0.7848 0.8221 0.8521 0.8761 0.8954 0.9108 0.9232 0.9332 0.9413 0.9479 0.9533 0.9576
Code signals: Matlab | [
0.007598876953125,
0.0185546875,
-0.004241943359375,
-0.0147705078125,
0.01483154296875,
0.0011749267578125,
0.0179443359375,
0.0030975341796875,
0.0023651123046875,
0.03955078125,
-0.01397705078125,
-0.03369140625,
-0.0108642578125,
-0.008056640625,
-0.00885009765625,
0.0068359375,
... | [
190,
127089,
304,
2592,
1126,
1819,
6,
121254,
192508,
81730,
4633,
758,
757,
5,
11540,
13903,
122887,
187716,
134926,
119861,
195586,
12012,
3117,
12951,
19308,
198467,
617,
143161,
69139,
98989,
123128,
14889,
2681,
165131,
8821,
9185,
11835,... | [
0.209716796875,
0.1993408203125,
0.1707763671875,
0.223876953125,
0.18310546875,
0.1976318359375,
0.066162109375,
0.1661376953125,
0.214599609375,
0.13134765625,
0.1466064453125,
0.0916748046875,
0.0660400390625,
0.1002197265625,
0.1324462890625,
0.138916015625,
0.1004638671875,
0.... | embed |
18822412_c0 | 18822412 | matlab | 0 | Title: Find maximum area (MatLab)
Problem title: Find maximum area (MatLab)
Tags: area, matlab
Problem: Find maximum area (MatLab)
Code signals: Find, MatLab | Find maximum area (MatLab) Find maximum area (MatLab) area matlab Find MatLab Find maximum area (MatLab) Consider the code below (MatLab): By running code we have this figure: I want to draw tangent lines on specified part of curve ( red part , w belongs to [0.6342,0.9985] ) : after doing that, my aim is to find maximu... | [
0.0223388671875,
0.0179443359375,
0.00909423828125,
0.023193359375,
-0.0023956298828125,
0.0208740234375,
-0.00131988525390625,
0.0152587890625,
-0.000102996826171875,
0.0238037109375,
-0.007049560546875,
-0.01104736328125,
-0.0205078125,
-0.0086669921875,
0.021484375,
-0.0172119140625... | [
26040,
38132,
16128,
79520,
97381,
2589,
6114,
7656,
18151,
35064,
51042,
26366,
3444,
79442,
25269,
2517,
124519,
58735,
2831,
9709,
272,
4842,
148,
10617,
122887,
116397,
143161,
183642,
464,
7413,
23,
19364,
38496,
23552,
47880,
61924,
13315... | [
0.1197509765625,
0.222412109375,
0.2183837890625,
0.162353515625,
0.245849609375,
0.1336669921875,
0.1995849609375,
0.1727294921875,
0.12451171875,
0.01019287109375,
0.05572509765625,
0.115478515625,
0.044525146484375,
0.126708984375,
0.1566162109375,
0.12939453125,
0.12646484375,
... | embed |
23705028_c0 | 23705028 | matlab | 0 | Title: create a Correct histogram
Problem title: create a Correct histogram
Tags: histogram, matlab
Problem: create a Correct histogram
Code signals: Correct | create a Correct histogram create a Correct histogram histogram matlab Correct create a Correct histogram I have a range of data represented in the vector C and have the data classes represented by the vector R I need to do a histogram and a curve to overlap Standard Normal but the vector z that represents the frequenc... | [
0.019775390625,
0.00909423828125,
-0.00921630859375,
0.00927734375,
0.01385498046875,
0.0159912109375,
-0.0126953125,
-0.005828857421875,
-0.01055908203125,
0.008544921875,
0.00007581710815429688,
-0.029541015625,
0.0186767578125,
0.02490234375,
0.006195068359375,
-0.00457763671875,
... | [
28282,
10,
46348,
15390,
1919,
18,
83814,
2589,
6114,
37457,
2053,
33636,
173,
18770,
313,
61112,
627,
3871,
54,
136,
9709,
272,
645,
6324,
20744,
28723,
97,
12478,
944,
27771,
959,
26785,
98,
64152,
141,
221,
42459,
29806,
17368,
6626,
... | [
0.1416015625,
0.06524658203125,
0.1875,
0.1783447265625,
0.156005859375,
0.09893798828125,
0.259033203125,
0.12451171875,
0.2000732421875,
0.0985107421875,
0.1121826171875,
0.1514892578125,
0.1539306640625,
0.1605224609375,
0.120361328125,
0.162109375,
0.143310546875,
0.05651855468... | embed |
37657227_c0 | 37657227 | matlab | 0 | "Title: Matlab implicit plot\nProblem title: Matlab implicit plot\nTags: plot, matlab-figure, matlab(...TRUNCATED) | "Matlab implicit plot Matlab implicit plot plot matlab-figure matlab waveform Matlab Matlab implicit(...TRUNCATED) | [0.00811767578125,0.0250244140625,-0.003875732421875,0.0123291015625,0.0169677734375,0.0159912109375(...TRUNCATED) | [7656,6114,165164,23577,2589,59994,259,5037,831,87,9709,272,17721,1096,64,866,136,2389,1295,25632,54(...TRUNCATED) | [0.0963134765625,0.20263671875,0.2171630859375,0.2315673828125,0.047882080078125,0.08526611328125,0.(...TRUNCATED) | embed |
19798554_c0 | 19798554 | matlab | 0 | "Title: Error on LU decomposition\nProblem title: Error on LU decomposition\nTags: matlab, linear-al(...TRUNCATED) | "Error on LU decomposition Error on LU decomposition matlab linear-algebra Error LuA n:1 Error on LU(...TRUNCATED) | [0.01263427734375,0.020751953125,0.016845703125,-0.00130462646484375,-0.0021514892578125,0.000196456(...TRUNCATED) | [212059,98,30684,8,277,40322,2589,6114,192617,429,3350,284,653,19721,5368,18244,32562,678,30391,5213(...TRUNCATED) | [0.184814453125,0.121337890625,0.2149658203125,0.1497802734375,0.1380615234375,0.0859375,0.090820312(...TRUNCATED) | embed |
37742314_c0 | 37742314 | matlab | 0 | "Title: expand a polygon region in a matrix\nProblem title: expand a polygon region in a matrix\nTag(...TRUNCATED) | "expand a polygon region in a matrix expand a polygon region in a matrix matlab convex-polygon expan(...TRUNCATED) | [0.01336669921875,0.01055908203125,0.000759124755859375,0.04052734375,0.00118255615234375,0.01184082(...TRUNCATED) | [71062,35874,6126,10776,23,50944,425,2589,6114,158,272,135545,25632,3444,34292,116,390,13267,106,710(...TRUNCATED) | [0.22998046875,0.150146484375,0.1673583984375,0.230224609375,0.07476806640625,0.1546630859375,0.0897(...TRUNCATED) | embed |
33531300_c0 | 33531300 | matlab | 0 | "Title: inequality symbolic toolbox\nProblem title: inequality symbolic toolbox\nTags: function, ine(...TRUNCATED) | "inequality symbolic toolbox inequality symbolic toolbox function inequality matlab PL5 inequality s(...TRUNCATED) | [0.000926971435546875,0.012451171875,0.00958251953125,0.0164794921875,-0.0086669921875,-0.0018844604(...TRUNCATED) | [23,13,161789,128201,55516,11728,32354,2589,6114,33106,758,45767,7413,3917,3642,29479,903,563,7730,4(...TRUNCATED) | [0.0261688232421875,0.0928955078125,0.19384765625,0.1905517578125,0.12408447265625,0.1531982421875,0(...TRUNCATED) | embed |
35850542_c0 | 35850542 | matlab | 0 | "Title: 4 dimensional plot in matlab\nProblem title: 4 dimensional plot in matlab\nTags: plot, matla(...TRUNCATED) | "4 dimensional plot in matlab 4 dimensional plot in matlab plot matlab multidimensional-array contou(...TRUNCATED) | [0.00836181640625,0.0045166015625,-0.006439208984375,0.01123046875,0.00193023681640625,-0.0082397460(...TRUNCATED) | [201,157955,23577,23,2589,6114,6024,19305,53,158,28889,31577,28282,7656,678,2053,33342,1884,169,71,9(...TRUNCATED) | [0.1546630859375,0.1693115234375,0.198486328125,0.0390625,0.09625244140625,0.2138671875,0.0559692382(...TRUNCATED) | embed |
13104052_c1 | 13104052 | matlab | 1 | "150, GO:0016740, GO:0016787, GO:0006810, GO:0006412, GO:0004672, GO:0016192, GO:0005215, GO:0016779(...TRUNCATED) | "150, GO:0016740, GO:0016787, GO:0006810, GO:0006412, GO:0004672, GO:0016192, GO:0005215, GO:0016779(...TRUNCATED) | [0.01361083984375,0.031005859375,-0.00933837890625,-0.007781982421875,0.012939453125,-0.016235351562(...TRUNCATED) | [3252,4,25052,6632,2485,117525,128341,12,9508,16028,963,13307,1530,7709,198493,151525,12231,12744,18(...TRUNCATED) | [0.295654296875,0.0975341796875,0.2113037109375,0.163818359375,0.18798828125,0.2325439453125,0.20983(...TRUNCATED) | embed |
20921159_c1 | 20921159 | matlab | 1 | " 00000000000000000000000000000000 matrix[1, 33:64] = 00000000001111110000000000000000 . . . matrix[(...TRUNCATED) | " 00000000000000000000000000000000 matrix[1, 33:64] = 00000000001111110000000000000000 . . . matrix[(...TRUNCATED) | [0.029296875,-0.005126953125,-0.0238037109375,0.022705078125,0.00506591796875,0.0213623046875,0.0230(...TRUNCATED) | [2445,181155,197094,50944,425,1065,418,4,3912,12,13307,268,2203,6746,159019,191281,6,5,10078,363,151(...TRUNCATED) | [0.201416015625,0.22509765625,0.245849609375,0.267578125,0.2078857421875,0.0228424072265625,0.076049(...TRUNCATED) | embed |
End of preview. Expand in Data Studio
Matlab StackOverflow Vector Dataset Datasheet
1. What This Dataset Is
This dataset is the Matlab-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 Matlab 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 Matlab 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_matlab_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
- 18