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README.md
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license: apache-2.0
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---
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license: apache-2.0
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task_categories:
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- text-generation
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language:
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- zh
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- am
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- ur
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tags:
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- code
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- multilingual
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- native-language
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- legesher
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- tiny-aya-expedition
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- language-decoded
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pretty_name: Language Decoded Community
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---
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# Language Decoded — Community Code
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A dataset of Python code written by native speakers using [Legesher](https://github.com/Legesher/legesher) translated keywords in their own language. Unlike the transpiled datasets in [language-decoded-data](https://huggingface.co/datasets/Legesher/language-decoded-data), this code is **human-authored** — written naturally by people thinking and coding in their native language.
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## Purpose
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This dataset serves two goals:
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1. **Training signal**: Human-written native code may carry different structural patterns than mechanically transpiled code
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2. **Validation**: Confirms that Legesher's translations produce natural, usable keywords that native speakers actually want to use
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## Structure
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Organized by language, with exercise tiers:
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```
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language-decoded-community/
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├── zh/ (Chinese)
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│ ├── tier-1/ (basic exercises)
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│ └── tier-2/ (intermediate exercises)
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├── am/ (Amharic)
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│ ├── tier-1/
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│ └── tier-2/
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├── ur/ (Urdu)
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│ ├── tier-1/
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│ └── tier-2/
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└── ...
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```
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## How to Contribute
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We welcome code submissions from native speakers of any language supported by Legesher.
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### Submission Requirements
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1. **Valid Python** — your code must parse without syntax errors
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2. **Uses Legesher keywords** — write using your language's translated keywords (see [supported languages](https://github.com/Legesher/legesher))
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3. **Include a metadata header** at the top of each file:
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```python
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# language: zh
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# exercise: tier-1
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# description: A brief description of what this code does
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```
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### How to Submit
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**Option A: HuggingFace web UI**
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1. Navigate to the appropriate language folder
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2. Click "Add file" → "Upload files"
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3. Upload your `.py` file(s)
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4. Add a commit message describing your submission
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**Option B: Using the CLI**
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```bash
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pip install huggingface_hub
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huggingface-cli login
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huggingface-cli upload Legesher/language-decoded-community ./my_code.py zh/tier-1/my_code.py --repo-type dataset
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```
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### Exercise Tiers
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| Tier | Difficulty | Examples |
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|---|---|---|
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| **Tier 1** | Basic | Hello world, loops, conditionals, simple functions |
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| **Tier 2** | Intermediate | Data structures, file I/O, classes, error handling |
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## Usage
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```python
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from datasets import load_dataset
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# Load all submissions
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ds = load_dataset("Legesher/language-decoded-community")
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# Load a specific language
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ds = load_dataset("Legesher/language-decoded-community", data_dir="zh")
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```
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## Related Resources
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- **Transpiled datasets**: [Legesher/language-decoded-data](https://huggingface.co/datasets/Legesher/language-decoded-data)
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- **Models**: [Legesher/language-decoded-lora](https://huggingface.co/Legesher/language-decoded-lora)
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- **Legesher project**: [github.com/Legesher/legesher](https://github.com/Legesher/legesher)
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## License
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Apache 2.0 — all contributions are released under this license.
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