ynklab/XCodeSearchNet
Paper on arXiv pre-training data You need to manually combine each dataset if you want to use a multilingual dataset. from datasets import load_dataset xcsn_pt_python_en = load_dataset("ynklab/XCodeSearchNet", data_dir='pretraining/python/en') """ DatasetDict({ train: Dataset({ features: ['function_tokens', 'docstring'], num_rows: 453623 }) validation: Dataset({ features: ['function_tokens', 'docstring'], num_rows: 4596 }) test:… See the full description on the dataset page: https://huggingface.co/datasets/ynklab/XCodeSearchNet.
| Author / organization | ynklab |
|---|---|
| License (as declared) | mit |
| Downloads | 2K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 15 June 2023 |
| Last updated at source | 12 July 2023 |
More from ynklab
- ynklab/vocalgradDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.