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Browse files- README.md +295 -0
- arxiv_cs_math/train-00000.jsonl.gz +3 -0
- commitpack/train-00000.jsonl.gz +3 -0
- commitpack/train-00001.jsonl.gz +3 -0
- commitpack/train-00002.jsonl.gz +3 -0
- manifest.json +422 -0
- python_peps/train-00000.jsonl.gz +3 -0
- recipe.json +139 -0
- repository_docs/train-00000.jsonl.gz +3 -0
- repository_docs/train-00001.jsonl.gz +3 -0
- stackexchange_programming/train-00000.jsonl.gz +3 -0
- stackexchange_programming/train-00001.jsonl.gz +3 -0
- stackexchange_programming/train-00002.jsonl.gz +3 -0
- stackv2_edu/train-00000.jsonl.gz +3 -0
- stackv2_edu/train-00001.jsonl.gz +3 -0
- stackv2_edu/train-00002.jsonl.gz +3 -0
- stackv2_edu/train-00003.jsonl.gz +3 -0
- stackv2_edu/train-00004.jsonl.gz +3 -0
- stackv2_edu/train-00005.jsonl.gz +3 -0
- stackv2_edu/train-00006.jsonl.gz +3 -0
- stackv2_edu/train-00007.jsonl.gz +3 -0
- stackv2_edu/train-00008.jsonl.gz +3 -0
- stackv2_edu/train-00009.jsonl.gz +3 -0
- stackv2_edu/train-00010.jsonl.gz +3 -0
- stackv2_edu/train-00011.jsonl.gz +3 -0
- stackv2_edu/train-00012.jsonl.gz +3 -0
- stackv2_edu/train-00013.jsonl.gz +3 -0
- stackv2_edu/train-00014.jsonl.gz +3 -0
- stackv2_edu/train-00015.jsonl.gz +3 -0
- stackv2_edu/train-00016.jsonl.gz +3 -0
- stackv2_edu/train-00017.jsonl.gz +3 -0
- stackv2_edu/train-00018.jsonl.gz +3 -0
- stackv2_edu/train-00019.jsonl.gz +3 -0
- stackv2_edu/train-00020.jsonl.gz +3 -0
- stackv2_edu/train-00021.jsonl.gz +3 -0
- stackv2_edu/train-00022.jsonl.gz +3 -0
- stackv2_edu/train-00023.jsonl.gz +3 -0
- stackv2_edu/train-00024.jsonl.gz +3 -0
- stackv2_edu/train-00025.jsonl.gz +3 -0
- stackv2_edu/train-00026.jsonl.gz +3 -0
- stackv2_edu/train-00027.jsonl.gz +3 -0
- stackv2_edu/train-00028.jsonl.gz +3 -0
- stackv2_edu/train-00029.jsonl.gz +3 -0
- stackv2_production/train-00000.jsonl.gz +3 -0
- stackv2_production/train-00001.jsonl.gz +3 -0
- stackv2_production/train-00002.jsonl.gz +3 -0
- stackv2_production/train-00003.jsonl.gz +3 -0
- stackv2_production/train-00004.jsonl.gz +3 -0
- wikimedia/train-00000.jsonl.gz +3 -0
README.md
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| 1 |
+
---
|
| 2 |
+
pretty_name: Code Corpus code-v1
|
| 3 |
+
language:
|
| 4 |
+
- code
|
| 5 |
+
- en
|
| 6 |
+
license: other
|
| 7 |
+
license_name: mixed-open-licenses
|
| 8 |
+
task_categories:
|
| 9 |
+
- text-generation
|
| 10 |
+
size_categories:
|
| 11 |
+
- 1M<n<10M
|
| 12 |
+
source_datasets:
|
| 13 |
+
- extended
|
| 14 |
+
annotations_creators:
|
| 15 |
+
- no-annotation
|
| 16 |
+
language_creators:
|
| 17 |
+
- found
|
| 18 |
+
multilinguality:
|
| 19 |
+
- multilingual
|
| 20 |
+
tags:
|
| 21 |
+
- code
|
| 22 |
+
- text
|
| 23 |
+
- datasets
|
| 24 |
+
- pretraining
|
| 25 |
+
- continued-pretraining
|
| 26 |
+
- software-engineering
|
| 27 |
+
configs:
|
| 28 |
+
- config_name: default
|
| 29 |
+
default: true
|
| 30 |
+
data_files:
|
| 31 |
+
- split: train
|
| 32 |
+
path: "*/*.jsonl.gz"
|
| 33 |
+
---
|
| 34 |
+
|
| 35 |
+
# Dataset Card for Code Corpus `code-v1`
|
| 36 |
+
|
| 37 |
+
## Dataset Description
|
| 38 |
+
|
| 39 |
+
### Dataset Summary
|
| 40 |
+
|
| 41 |
+
Code Corpus `code-v1` is a token-balanced collection of source code, commit messages and
|
| 42 |
+
diffs, programming Q&A, and technical text. It is intended for language-model pretraining
|
| 43 |
+
and continued pretraining. All examples use a common JSONL schema with per-record
|
| 44 |
+
provenance, license metadata, exact token counts, and content hashes.
|
| 45 |
+
|
| 46 |
+
The released dataset contains **2 billion tokens**, **2,541,336 documents**, and **46**
|
| 47 |
+
gzip-compressed shards totaling **2.91 GB** (2,905,546,899 bytes; 2.71 GiB).
|
| 48 |
+
Exact source totals and the complete shard inventory are recorded in
|
| 49 |
+
[`manifest.json`](manifest.json).
|
| 50 |
+
|
| 51 |
+
### Supported Tasks
|
| 52 |
+
|
| 53 |
+
The dataset is designed for causal language modeling over code and technical text. It is
|
| 54 |
+
not an instruction-tuning dataset and does not include labels, preference pairs, or a
|
| 55 |
+
held-out evaluation split.
|
| 56 |
+
|
| 57 |
+
### Languages
|
| 58 |
+
|
| 59 |
+
The corpus contains many programming languages and predominantly English natural-language
|
| 60 |
+
content. Other human languages may occur in source comments, commit messages, repository
|
| 61 |
+
content, and upstream technical-text collections. The `language` field describes a
|
| 62 |
+
programming language when upstream metadata is available; it is not a human-language tag.
|
| 63 |
+
|
| 64 |
+
## Dataset Structure
|
| 65 |
+
|
| 66 |
+
### Data Instances
|
| 67 |
+
|
| 68 |
+
Each line in a decompressed shard is an independent JSON object:
|
| 69 |
+
|
| 70 |
+
```json
|
| 71 |
+
{
|
| 72 |
+
"id": "29266961adb8c59a77001330377561454f9d82e5dadfeff7445a14ae147ac453",
|
| 73 |
+
"text": "// source code, technical text, or a commit message and diff",
|
| 74 |
+
"source": "stackv2_edu",
|
| 75 |
+
"source_id": "6396980ea790ba1a35f35ff6269bb0d8d0b58ddf",
|
| 76 |
+
"language": "JavaScript",
|
| 77 |
+
"license": "MIT",
|
| 78 |
+
"url": "https://raw.githubusercontent.com/...",
|
| 79 |
+
"repository": "owner/repository",
|
| 80 |
+
"path": "/path/to/file.js",
|
| 81 |
+
"created": "2020-03-02 08:38:22",
|
| 82 |
+
"metadata": {},
|
| 83 |
+
"content_sha256": "72f9484f64be497baa6bd276fbfdbed13e43735445f0aedb635907314d223ceb",
|
| 84 |
+
"chunk_index": 0,
|
| 85 |
+
"token_count": 599
|
| 86 |
+
}
|
| 87 |
+
```
|
| 88 |
+
|
| 89 |
+
CommitPack examples format `text` as a natural-language commit message followed by a
|
| 90 |
+
unified diff.
|
| 91 |
+
|
| 92 |
+
### Data Fields
|
| 93 |
+
|
| 94 |
+
| Field | Type | Description |
|
| 95 |
+
| --- | --- | --- |
|
| 96 |
+
| `id` | string | Stable SHA-256 record identifier. |
|
| 97 |
+
| `text` | string | Model training text. |
|
| 98 |
+
| `source` | string | Source name matching a recipe entry and shard directory. |
|
| 99 |
+
| `source_id` | string or null | Upstream example identifier. |
|
| 100 |
+
| `language` | string or null | Upstream or detected programming language. |
|
| 101 |
+
| `license` | string or null | Upstream license label for the example. |
|
| 102 |
+
| `url` | string or null | Original or raw-content URL when available. |
|
| 103 |
+
| `repository` | string or null | Repository name when available. |
|
| 104 |
+
| `path` | string or null | Path within the repository when available. |
|
| 105 |
+
| `created` | string or null | Upstream timestamp; formatting varies by source. |
|
| 106 |
+
| `metadata` | object | Source-specific provenance and attributes. |
|
| 107 |
+
| `content_sha256` | string | SHA-256 hash used for exact content deduplication. |
|
| 108 |
+
| `chunk_index` | integer | Zero-based index when a long document is split. |
|
| 109 |
+
| `token_count` | integer | Exact `text` token count using the configured tokenizer. |
|
| 110 |
+
|
| 111 |
+
Missing provenance is represented as `null`, not inferred. Consumers should allow
|
| 112 |
+
source-specific keys in `metadata`.
|
| 113 |
+
|
| 114 |
+
### Data Splits
|
| 115 |
+
|
| 116 |
+
There is one `train` split. The recipe targets the following token mixture:
|
| 117 |
+
|
| 118 |
+
| Source | Upstream dataset | Share | Nominal tokens |
|
| 119 |
+
| --- | --- | ---: | ---: |
|
| 120 |
+
| `stackv2_edu` | [`common-pile/stackv2_edu_filtered`](https://huggingface.co/datasets/common-pile/stackv2_edu_filtered) | 65.0% | 1,300,000,000 |
|
| 121 |
+
| `stackv2_production` | [`common-pile/stackv2`](https://huggingface.co/datasets/common-pile/stackv2) | 10.0% | 200,000,000 |
|
| 122 |
+
| `commitpack` | [`bigcode/commitpackft`](https://huggingface.co/datasets/bigcode/commitpackft) | 8.0% | 160,000,000 |
|
| 123 |
+
| `stackexchange_programming` | [`common-pile/stackexchange_filtered`](https://huggingface.co/datasets/common-pile/stackexchange_filtered) | 7.0% | 140,000,000 |
|
| 124 |
+
| `arxiv_cs_math` | [`common-pile/arxiv_papers_filtered`](https://huggingface.co/datasets/common-pile/arxiv_papers_filtered) | 5.0% | 100,000,000 |
|
| 125 |
+
| `repository_docs` | [`common-pile/stackv2_edu_filtered`](https://huggingface.co/datasets/common-pile/stackv2_edu_filtered) | 2.9% | 58,000,000 |
|
| 126 |
+
| `python_peps` | [`common-pile/python_enhancement_proposals_filtered`](https://huggingface.co/datasets/common-pile/python_enhancement_proposals_filtered) | 0.1% | 2,000,000 |
|
| 127 |
+
| `wikimedia` | [`common-pile/wikimedia_filtered`](https://huggingface.co/datasets/common-pile/wikimedia_filtered) | 2.0% | 40,000,000 |
|
| 128 |
+
|
| 129 |
+
If an upstream source is exhausted before filling its nominal allocation, the shortfall is
|
| 130 |
+
assigned to `stackv2_edu`. The manifest records the realized source proportions;
|
| 131 |
+
[`recipe.json`](recipe.json) records the target mixture and selection rules.
|
| 132 |
+
|
| 133 |
+
### Loading the Dataset
|
| 134 |
+
|
| 135 |
+
After upload to the Hub:
|
| 136 |
+
|
| 137 |
+
```python
|
| 138 |
+
from datasets import load_dataset
|
| 139 |
+
|
| 140 |
+
dataset = load_dataset("owenqwenllmwine/code-v1", split="train")
|
| 141 |
+
```
|
| 142 |
+
|
| 143 |
+
To load this directory locally:
|
| 144 |
+
|
| 145 |
+
```python
|
| 146 |
+
dataset = load_dataset(
|
| 147 |
+
"json",
|
| 148 |
+
data_files="data/*/train-*.jsonl.gz",
|
| 149 |
+
split="train",
|
| 150 |
+
)
|
| 151 |
+
```
|
| 152 |
+
|
| 153 |
+
The card's default configuration maps all compressed JSONL shards to the `train` split.
|
| 154 |
+
|
| 155 |
+
## Dataset Creation
|
| 156 |
+
|
| 157 |
+
### Curation Rationale
|
| 158 |
+
|
| 159 |
+
The recipe emphasizes educational source code while retaining smaller amounts of
|
| 160 |
+
production code, code changes, programming discussions, repository documentation, papers,
|
| 161 |
+
standards, and general text. Source shares are allocated by tokenizer tokens rather than
|
| 162 |
+
document count or compressed size.
|
| 163 |
+
|
| 164 |
+
### Source Data
|
| 165 |
+
|
| 166 |
+
The data is derived from the upstream Hugging Face datasets linked above. The recipe uses
|
| 167 |
+
seed `42`, a 10,000-example streaming shuffle buffer, a minimum document length of 32
|
| 168 |
+
tokens, and a maximum chunk length of 32,768 tokens. Token counts use
|
| 169 |
+
`Qwen/Qwen3.5-0.8B-Base`.
|
| 170 |
+
|
| 171 |
+
Processing includes:
|
| 172 |
+
|
| 173 |
+
- normalization into the common record schema;
|
| 174 |
+
- exact cross-source deduplication;
|
| 175 |
+
- long-document chunking;
|
| 176 |
+
- redaction of private-key blocks and common live-token patterns; and
|
| 177 |
+
- filtering of empty, repetitive, minified, generated, and common vendor-path content.
|
| 178 |
+
|
| 179 |
+
Educational code excludes documentation and notebooks. Production code additionally
|
| 180 |
+
excludes common text, lock, source-map, and tabular files. Programming Q&A is restricted
|
| 181 |
+
to selected programming-focused Stack Exchange sites. The exact filters are recorded in
|
| 182 |
+
the recipe.
|
| 183 |
+
|
| 184 |
+
### Annotations
|
| 185 |
+
|
| 186 |
+
No new labels or human annotations were created. Language, license, provenance, and other
|
| 187 |
+
attributes are retained or normalized from upstream metadata.
|
| 188 |
+
|
| 189 |
+
### Personal and Sensitive Information
|
| 190 |
+
|
| 191 |
+
Public source code and technical discussions can contain names, email addresses, usernames,
|
| 192 |
+
URLs, credentials, or other personal and sensitive information. Automated secret-pattern
|
| 193 |
+
redaction reduces some credential exposure but is not comprehensive. No dedicated PII
|
| 194 |
+
removal or privacy audit has been performed.
|
| 195 |
+
|
| 196 |
+
## Considerations for Using the Data
|
| 197 |
+
|
| 198 |
+
### Intended Use
|
| 199 |
+
|
| 200 |
+
Appropriate uses include language-model pretraining, continued pretraining, and research on
|
| 201 |
+
code and technical text. Users should retain provenance where needed for attribution and
|
| 202 |
+
perform additional filtering, decontamination, or safety review appropriate to their use
|
| 203 |
+
case.
|
| 204 |
+
|
| 205 |
+
### Out-of-Scope Use
|
| 206 |
+
|
| 207 |
+
The corpus should not be treated as a source of verified, secure, up-to-date, or executable
|
| 208 |
+
code. It is not suitable by itself for model evaluation, supervised instruction tuning, or
|
| 209 |
+
applications that require factual correctness or license uniformity.
|
| 210 |
+
|
| 211 |
+
### Biases, Risks, and Limitations
|
| 212 |
+
|
| 213 |
+
- Repository popularity, public availability, upstream sampling, and filtering choices
|
| 214 |
+
affect which languages, communities, and software practices are represented.
|
| 215 |
+
- Examples may contain vulnerabilities, obsolete APIs, incorrect answers, toxic language,
|
| 216 |
+
personal data, or other undesirable upstream artifacts.
|
| 217 |
+
- Exact duplicates are removed, but near-duplicates and benchmark contamination may remain.
|
| 218 |
+
- Language, license, timestamp, and provenance coverage varies by source.
|
| 219 |
+
- The buffered streaming shuffle is deterministic for the recorded configuration but is
|
| 220 |
+
not a global random permutation.
|
| 221 |
+
- Several upstream revisions are unpinned, so the metadata may not be sufficient to recreate
|
| 222 |
+
identical upstream streams in the future.
|
| 223 |
+
|
| 224 |
+
## Licensing Information
|
| 225 |
+
|
| 226 |
+
This is a mixed-license dataset. Applicable terms vary by example and may include
|
| 227 |
+
permissive software licenses, public-domain material, open-content licenses, CC BY-SA, and
|
| 228 |
+
other licenses present in mixed-code sources. Per-record license and provenance information
|
| 229 |
+
is retained in `license`, `url`, `repository`, and `metadata`.
|
| 230 |
+
|
| 231 |
+
Users are responsible for reviewing and complying with the applicable terms, including
|
| 232 |
+
attribution and share-alike requirements. License labels are inherited from upstream
|
| 233 |
+
metadata and have not been independently verified. This dataset card is not legal advice.
|
| 234 |
+
|
| 235 |
+
## Additional Information
|
| 236 |
+
|
| 237 |
+
### Dataset Curators
|
| 238 |
+
|
| 239 |
+
Owen Qwen
|
| 240 |
+
|
| 241 |
+
### Citation
|
| 242 |
+
|
| 243 |
+
```bibtex
|
| 244 |
+
@misc{qwen2026codev1,
|
| 245 |
+
author = {Owen Qwen},
|
| 246 |
+
title = {Code Corpus code-v1},
|
| 247 |
+
year = {2026},
|
| 248 |
+
publisher = {Hugging Face},
|
| 249 |
+
url = {https://huggingface.co/datasets/owenqwenllmwine/code-v1}
|
| 250 |
+
}
|
| 251 |
+
```
|
| 252 |
+
|
| 253 |
+
### Upstream Dataset Citations
|
| 254 |
+
|
| 255 |
+
All seven unique upstream dataset repositories are linked in [Data Splits](#data-splits).
|
| 256 |
+
The six `common-pile` datasets share the Common Pile citation. The Stack V2-derived code
|
| 257 |
+
also uses The Stack V2 citation, while CommitPackFT uses the OctoPack citation.
|
| 258 |
+
|
| 259 |
+
```bibtex
|
| 260 |
+
@article{kandpal2025common,
|
| 261 |
+
title = {The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text},
|
| 262 |
+
author = {Nikhil Kandpal and others},
|
| 263 |
+
journal = {arXiv preprint arXiv:2506.05209},
|
| 264 |
+
year = {2025},
|
| 265 |
+
url = {https://arxiv.org/abs/2506.05209}
|
| 266 |
+
}
|
| 267 |
+
|
| 268 |
+
@article{lozhkov2024starcoder2,
|
| 269 |
+
title = {StarCoder 2 and The Stack v2: The Next Generation},
|
| 270 |
+
author = {Anton Lozhkov and others},
|
| 271 |
+
journal = {arXiv preprint arXiv:2402.19173},
|
| 272 |
+
year = {2024},
|
| 273 |
+
url = {https://arxiv.org/abs/2402.19173}
|
| 274 |
+
}
|
| 275 |
+
|
| 276 |
+
@article{muennighoff2023octopack,
|
| 277 |
+
title = {OctoPack: Instruction Tuning Code Large Language Models},
|
| 278 |
+
author = {Niklas Muennighoff and Qian Liu and Armel Zebaze and Qinkai Zheng and
|
| 279 |
+
Binyuan Hui and Terry Yue Zhuo and Swayam Singh and Xiangru Tang and
|
| 280 |
+
Leandro von Werra and Shayne Longpre},
|
| 281 |
+
journal = {arXiv preprint arXiv:2308.07124},
|
| 282 |
+
year = {2023},
|
| 283 |
+
url = {https://arxiv.org/abs/2308.07124}
|
| 284 |
+
}
|
| 285 |
+
```
|
| 286 |
+
|
| 287 |
+
These scholarly citations do not replace the attribution, notice, or share-alike
|
| 288 |
+
requirements of the licenses attached to individual records.
|
| 289 |
+
|
| 290 |
+
### Reproducibility
|
| 291 |
+
|
| 292 |
+
[`manifest.json`](manifest.json) records the build timestamp, requested and realized token
|
| 293 |
+
counts, document and filter statistics, upstream revisions, tokenizer, and shard inventory.
|
| 294 |
+
[`recipe.json`](recipe.json) contains the complete source weights, filters, and processing
|
| 295 |
+
configuration for the release.
|
arxiv_cs_math/train-00000.jsonl.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6802410d35009b8d037548946f4b39436e84743d72da95c7afa3a5f10d5306aa
|
| 3 |
+
size 429843
|
commitpack/train-00000.jsonl.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d13b07a95f5c3a8b4940331dadab6b64fe3248c7badef33c5d283b56e6cdc8db
|
| 3 |
+
size 105350740
|
commitpack/train-00001.jsonl.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:112f185fff2253e6933d2db1e973c19bd70640570f838d3225e0bd96947a54a6
|
| 3 |
+
size 112378541
|
commitpack/train-00002.jsonl.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7eece92d48153609d14257339d800b3117da9640be7c635076667f608fbae57d
|
| 3 |
+
size 98941883
|
manifest.json
ADDED
|
@@ -0,0 +1,422 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
|
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|
|
|
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|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"format_version": 1,
|
| 3 |
+
"created_at": "2026-07-13T23:33:23.271132+00:00",
|
| 4 |
+
"preset": "code-v1",
|
| 5 |
+
"requested_tokens": 2000000000,
|
| 6 |
+
"tokenizer": "Qwen/Qwen3.5-0.8B-Base",
|
| 7 |
+
"exact_token_counts": true,
|
| 8 |
+
"license_policy": "open",
|
| 9 |
+
"seed": 42,
|
| 10 |
+
"sources": [
|
| 11 |
+
{
|
| 12 |
+
"id": "stackv2_edu",
|
| 13 |
+
"dataset": "common-pile/stackv2_edu_filtered",
|
| 14 |
+
"subset": null,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"weight": 0.65,
|
| 17 |
+
"target_tokens": 1300000000,
|
| 18 |
+
"exhausted_before_quota": false,
|
| 19 |
+
"seen": 2225301,
|
| 20 |
+
"filtered": 689545,
|
| 21 |
+
"duplicates": 17424,
|
| 22 |
+
"documents": 1519870,
|
| 23 |
+
"tokens": 1413357651,
|
| 24 |
+
"shards": [
|
| 25 |
+
{
|
| 26 |
+
"path": "stackv2_edu/train-00000.jsonl.gz",
|
| 27 |
+
"documents": 54664,
|
| 28 |
+
"tokens": 49998395,
|
| 29 |
+
"bytes": 73744330
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"path": "stackv2_edu/train-00001.jsonl.gz",
|
| 33 |
+
"documents": 53017,
|
| 34 |
+
"tokens": 49999881,
|
| 35 |
+
"bytes": 72157755
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"path": "stackv2_edu/train-00002.jsonl.gz",
|
| 39 |
+
"documents": 54330,
|
| 40 |
+
"tokens": 49999644,
|
| 41 |
+
"bytes": 73324325
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"path": "stackv2_edu/train-00003.jsonl.gz",
|
| 45 |
+
"documents": 54366,
|
| 46 |
+
"tokens": 49999323,
|
| 47 |
+
"bytes": 73659914
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"path": "stackv2_edu/train-00004.jsonl.gz",
|
| 51 |
+
"documents": 53711,
|
| 52 |
+
"tokens": 49999771,
|
| 53 |
+
"bytes": 72979305
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"path": "stackv2_edu/train-00005.jsonl.gz",
|
| 57 |
+
"documents": 53413,
|
| 58 |
+
"tokens": 49999941,
|
| 59 |
+
"bytes": 72340229
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"path": "stackv2_edu/train-00006.jsonl.gz",
|
| 63 |
+
"documents": 54381,
|
| 64 |
+
"tokens": 49996723,
|
| 65 |
+
"bytes": 73630488
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"path": "stackv2_edu/train-00007.jsonl.gz",
|
| 69 |
+
"documents": 54640,
|
| 70 |
+
"tokens": 49999790,
|
| 71 |
+
"bytes": 73756877
|
| 72 |
+
},
|
| 73 |
+
{
|
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