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Datasets:
razhan
/
code-valid

Modalities:
Tabular
Text
Formats:
parquet
Languages:
code
Size:
10K - 100K
Tags:
code
python
filtered
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
code-valid
File size: 4,162 Bytes
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---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: repo_name
    dtype: string
  - name: path
    dtype: string
  - name: copies
    dtype: string
  - name: size
    dtype: string
  - name: content
    dtype: string
  - name: license
    dtype: string
  - name: hash
    dtype: int64
  - name: line_mean
    dtype: float64
  - name: line_max
    dtype: int64
  - name: alpha_frac
    dtype: float64
  - name: autogenerated
    dtype: bool
  - name: ratio
    dtype: float64
  - name: config_test
    dtype: bool
  - name: has_no_keywords
    dtype: bool
  - name: few_assignments
    dtype: bool
  splits:
  - name: train
    num_bytes: 432490836
    num_examples: 45961
  download_size: 159490243
  dataset_size: 432490836
license: other
language:
- code
tags:
- code
- python
- filtered
size_categories:
- 10K<n<100K
---

# code-valid

45,961 Python files that passed a code-quality filtering pass, each kept with its
source repository, file path, declared licence, and the filter values that were
computed on it.

## At a glance

| | |
|---|---|
| Rows | 45,961 (single `train` split) |
| File type | Python only — `.py` for **100%** of rows |
| Columns | 15 (see below) |
| Parquet on disk | 159.5 MB (432.5 MB uncompressed) |
| Row groups | 5 |

## Columns

| Column | Type | What it holds |
|---|---|---|
| `repo_name` | string | source repository, e.g. `pansapiens/mytardis` |
| `path` | string | file path in the repository, e.g. `tardis/apps/mx_views/views.py` |
| `content` | string | the file's full source text (mean 9,272 chars, median 3,937, max 644,045) |
| `license` | string | SPDX-style licence string of the repository |
| `size` | string | file size in bytes, as a string (1,024 – 895,755; mean 9,231) |
| `copies` | string | in how many repositories the same content was found (1 for 44,880 rows, up to 11) |
| `hash` | int64 | content hash used for the duplicate check |
| `line_mean` | float64 | mean line length (6.5 – 99.9, mean 33.8) |
| `line_max` | int64 | longest line |
| `alpha_frac` | float64 | fraction of alphabetic characters (0.25 – 0.96, mean 0.60) |
| `ratio` | float64 | filter ratio value (1.50 – 13.56, mean 3.70) |
| `autogenerated` | bool | `False` in **every** row of this snapshot |
| `config_test` | bool | `True` in 5,104 rows (11%) |
| `has_no_keywords` | bool | `True` in 301 rows |
| `few_assignments` | bool | `False` in **every** row of this snapshot |

## Licence distribution

Counted over all 45,961 rows — 15 distinct values, no nulls:

| Licence | Rows |
|---|---|
| `mit` | 14,285 |
| `apache-2.0` | 8,216 |
| `gpl-3.0` | 8,188 |
| `gpl-2.0` | 4,708 |
| `bsd-3-clause` | 4,650 |
| `agpl-3.0` | 2,307 |
| `bsd-2-clause` | 1,224 |
| `lgpl-3.0` | 806 |
| `lgpl-2.1` | 580 |
| `unlicense` | 328 |
| `mpl-2.0` | 273 |
| `isc` | 162 |
| `cc0-1.0` | 135 |
| `epl-1.0` | 77 |
| `artistic-2.0` | 22 |

## Usage

```python
from datasets import load_dataset

ds = load_dataset("razhan/code-valid", split="train")
row = ds[0]
print(row["repo_name"], row["path"], row["license"])
print(row["content"][:300])
```

If you need only permissively licensed code, filter on `license` in
`{"mit", "apache-2.0", "bsd-2-clause", "bsd-3-clause", "isc", "unlicense", "cc0-1.0"}`
— that keeps exactly 29,000 rows. Copyleft licences account for the remaining 16,589.

## Known limitations

- **Licence is per repository, not per file.** Rows inherit the repository's
  declared licence; verify before redistribution, and note that 16,589 rows carry
  copyleft licences (`gpl-*`, `agpl-3.0`, `lgpl-*`).
- Duplicate content is not removed: `copies` > 1 for 1,081 rows, and those rows
  appear once per repository.
- The flag columns record a single filtering pass from 2022; `autogenerated` and
  `few_assignments` are constant `False` here, so they carry no signal in this
  snapshot.
- No language/version metadata beyond "it parses as Python", and no repository
  snapshot date — code drift between the crawl and today is not tracked.
- Some files are minified, generated, or vendor dumps that survived the filters
  applied at the time.