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README.md
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path: data/test-*
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#
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- split: test
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path: data/test-*
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---
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# LCA (module-to-text)
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This is the data for module-to-text benchmark as part of LCA.
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## How-to
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1. List all the available configs via [`datasets.get_dataset_config_names`](https://huggingface.co/docs/datasets/v2.14.3/en/package_reference/loading_methods#datasets.get_dataset_config_names) and choose an appropriate one
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3. Load the data via [`load_dataset`](https://huggingface.co/docs/datasets/v2.14.3/en/package_reference/loading_methods#datasets.load_dataset):
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```
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from datasets import load_dataset
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dataset = load_dataset("JetBrains-Research/lca-module-to-text")
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```
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## Dataset Structure
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Each example has the following fields:
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| **Field** | **Description** |
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|:---------------------------:|:----------------------------------------:|
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| `repo` | Name of repository |
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| `target_text` | Target text (doc file) |
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| `docfile_name` | Name of file name with target doc |
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| `doc_type` | Type of target doc |
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| `intent` | Instruction for generation |
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| `license` | License of target repo |
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| `relevant_code_files` | Pathes to relevant code files |
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| `relevant_code_dir` | Pathes to relevant code dirs |
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| `path_to_docfile` | Path to file with documentation |
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| `relevant_code_context` | Relevant code context |
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Note: you may collect and use your own relevant context. Our context may not be suitable. Folder with zipped repositories can be found in Files and versions
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