# Task Example This folder provides an example of the structure of task outputs produced by [GroTE](https://github.com/gsarti/grote). ## Folder Structure ```shell example/ ├── inputs/ │ └── eng-ita/ │ ├── example_eng-ita_doc1_input.txt │ └── ... # GroTE input files with tags and ||| source-target separator ├── outputs/ │ └── eng-ita/ │ ├── logs/ │ │ └── example_eng-ita_t0_logs.csv # GroTE logs │ ├── example_eng-ita_doc1_t0_output.txt │ └── ... # GroTE output files (one edited target per line) ├── doc_id_map.json # Source and doc name maps └── README.md ``` ## Inputs This example uses the same files of `pretask`, with highlights in the `supervised` modality produced by XCOMET-XXL. The `doc_id_map.json` file shows the mapping between `{{DOC_ID}}` and the original filename found in the `source_path`. Input files for the task have names using the format: ```python "{{TASK_ID}}_{{TRANSLATION_DIRECTION}}_{{DOC_ID}}_input.txt" ``` Sentences use the FastAlign format `{{SOURCE}} ||| {{TARGET}}`, with source and target being regular texts without special tokenization. `...` and `...` tags are used to mark potential errors to be highlighted in the editing interface. ## Outputs Files in `outputs/{{TRANSLATION_DIRECTION}}` contain post-edited outputs (one per line, matching inputs) using format: ```python "{{TASK_ID}}_{{TRANSLATION_DIRECTION}}_{{DOC_ID}}_{{TRANSLATOR_ID}}_output.txt" ``` The contents of `outputs/{{TRANSLATION_DIRECTION}}/logs` can be used to analyze editing behavior at a granular scale. Each log file has format: ```python "{{TASK_ID}}_{{TRANSLATION_DIRECTION}}_{{TRANSLATOR_ID}}_logs.csv" ``` Refer to [GroTE](https://github.com/gsarti/grote) documentation for more information about the logs.