--- license: other dataset_info: - config_name: c features: - name: language dtype: string - name: src_encoding dtype: string - name: length_bytes dtype: int64 - name: score dtype: float64 - name: int_score dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: text dtype: string splits: - name: train num_bytes: ??? num_examples: ??? - config_name: cpp features: - name: language dtype: string - name: src_encoding dtype: string - name: length_bytes dtype: int64 - name: score dtype: float64 - name: int_score dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: text dtype: string splits: - name: train num_bytes: ??? num_examples: ??? - config_name: csharp features: - name: language dtype: string - name: src_encoding dtype: string - name: length_bytes dtype: int64 - name: score dtype: float64 - name: int_score dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: text dtype: string splits: - name: train num_bytes: ??? num_examples: ??? - config_name: go features: - name: language dtype: string - name: src_encoding dtype: string - name: length_bytes dtype: int64 - name: score dtype: float64 - name: int_score dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: text dtype: string splits: - name: train num_bytes: ??? num_examples: ??? - config_name: java features: - name: language dtype: string - name: src_encoding dtype: string - name: length_bytes dtype: int64 - name: score dtype: float64 - name: int_score dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: text dtype: string splits: - name: train num_bytes: ??? num_examples: ??? - config_name: javascript features: - name: language dtype: string - name: src_encoding dtype: string - name: length_bytes dtype: int64 - name: score dtype: float64 - name: int_score dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: text dtype: string splits: - name: train num_bytes: ??? num_examples: ??? - config_name: markdown features: - name: language dtype: string - name: src_encoding dtype: string - name: length_bytes dtype: int64 - name: score dtype: float64 - name: int_score dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: text dtype: string splits: - name: train num_bytes: ??? num_examples: ??? - config_name: php features: - name: language dtype: string - name: src_encoding dtype: string - name: length_bytes dtype: int64 - name: score dtype: float64 - name: int_score dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: text dtype: string splits: - name: train num_bytes: ??? num_examples: ??? - config_name: python features: - name: language dtype: string - name: src_encoding dtype: string - name: length_bytes dtype: int64 - name: score dtype: float64 - name: int_score dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: text dtype: string splits: - name: train num_bytes: ??? num_examples: ??? - config_name: ruby features: - name: language dtype: string - name: src_encoding dtype: string - name: length_bytes dtype: int64 - name: score dtype: float64 - name: int_score dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: text dtype: string splits: - name: train num_bytes: ??? num_examples: ??? - config_name: rust features: - name: language dtype: string - name: src_encoding dtype: string - name: length_bytes dtype: int64 - name: score dtype: float64 - name: int_score dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: text dtype: string splits: - name: train num_bytes: ??? num_examples: ??? - config_name: shell features: - name: language dtype: string - name: src_encoding dtype: string - name: length_bytes dtype: int64 - name: score dtype: float64 - name: int_score dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: text dtype: string splits: - name: train num_bytes: ??? num_examples: ??? - config_name: sql features: - name: language dtype: string - name: src_encoding dtype: string - name: length_bytes dtype: int64 - name: score dtype: float64 - name: int_score dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: text dtype: string splits: - name: train num_bytes: ??? num_examples: ??? - config_name: swift features: - name: language dtype: string - name: src_encoding dtype: string - name: length_bytes dtype: int64 - name: score dtype: float64 - name: int_score dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: text dtype: string splits: - name: train num_bytes: ??? num_examples: ??? - config_name: typescript features: - name: language dtype: string - name: src_encoding dtype: string - name: length_bytes dtype: int64 - name: score dtype: float64 - name: int_score dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: text dtype: string splits: - name: train num_bytes: ??? num_examples: ??? # The `configs` section maps the config names to the actual data files configs: - config_name: c data_files: - split: train path: c.parquet - config_name: cpp data_files: - split: train path: cpp.parquet - config_name: csharp data_files: - split: train path: csharp.parquet - config_name: go data_files: - split: train path: go.parquet - config_name: java data_files: - split: train path: java.parquet - config_name: javascript data_files: - split: train path: javascript.parquet - config_name: markdown data_files: - split: train path: markdown.parquet - config_name: php data_files: - split: train path: php.parquet - config_name: python data_files: - split: train path: python.parquet - config_name: ruby data_files: - split: train path: ruby.parquet - config_name: rust data_files: - split: train path: rust.parquet - config_name: shell data_files: - split: train path: shell.parquet - config_name: sql data_files: - split: train path: sql.parquet - config_name: swift data_files: - split: train path: swift.parquet - config_name: typescript data_files: - split: train path: typescript.parquet --- # 💻 Processed Stack-Edu (Direct Access) This repository contains a pre-downloaded and processed version of the **[Stack-Edu](https://huggingface.co/datasets/HuggingFaceTB/stack-edu)** dataset. The original dataset consists of SWHIDs pointing to files on Software Heritage. This version contains the **full text content**, saved in Parquet format and organized by programming language, making it immediately usable for training and analysis without the slow download process. Stack-Edu is a 125B token dataset of high-quality, educational code filtered from [The Stack v2](https://huggingface.co/datasets/bigcode/the-stack-v2). It was curated by the Hugging Face team for training the StarCoder2 models. ## Dataset Structure The data is organized into one Parquet file per programming language. Each language is available as a separate configuration (subset). ### Available Languages (Configurations) You can load data for any of the following languages by specifying its name in the `load_dataset` function: `c`, `cpp`, `csharp`, `go`, `java`, `javascript`, `markdown`, `php`, `python`, `ruby`, `rust`, `shell`, `sql`, `swift`, `typescript`. ## How to Use You can easily load any language-specific subset using the `datasets` library. The dataset card metadata in this `README.md` allows for direct loading of each configuration. ```python from datasets import load_dataset # Load a specific language, for example, Python # Note: It is recommended to use streaming=True for large datasets to avoid downloading everything at once. python_data = load_dataset("meryyllebr543/stack-edu-huggingface", name="python", split="train", streaming=True) # Load the C++ data cpp_data = load_dataset("meryyllebr543/stack-edu-huggingface", name="cpp", split="train") # You can then iterate through the dataset for example in python_data.take(5): print(example['text'][:200]) # Print the first 200 characters of the text ``` ## Original Dataset Information For more details on the curation process, please refer to the original **[Stack-Edu dataset card](https://huggingface.co/datasets/HuggingFaceTB/stack-edu)**. ### Citation If you use this dataset, please cite the original work: ``` @misc{allal2025smollm2smolgoesbig, title={SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model}, author={...}, year={2025}, eprint={2502.02737}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```