Data · dataset · 2022
Fraser/python-lines
Listed in Hugging Face Datasets
Description
Dataset of single lines of Python code taken from the CodeSearchNet dataset. Context This dataset allows checking the validity of Variational-Autoencoder latent spaces by testing what percentage of random/intermediate latent points can be greedily decoded into valid Python code. Content Each row has a parsable line of source code. {'text': '{python source code line}'} Most lines are < 100 characters while all are under 125 characters.
Contains 2.6 million lines. All code is in parsable into a python3 ast.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/Fraser/python-lines ↗
landing page · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/Fraser/python-lines ↗
metadata API · from Hugging Face
Topics
- From keywords
- Computer Science & AI
- Inferred from text
- Text 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | Fraser/python-lines | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · Hugging Face | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |