| --- |
| dataset_info: |
| features: |
| - name: nl |
| dtype: string |
| - name: ul |
| dtype: string |
| - name: status |
| dtype: string |
| - name: level |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 1189650.9591673338 |
| num_examples: 5620 |
| - name: test |
| num_bytes: 66256.3612489992 |
| num_examples: 313 |
| - name: valid |
| num_bytes: 66044.67958366693 |
| num_examples: 312 |
| download_size: 536146 |
| dataset_size: 1321951.9999999998 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: test |
| path: data/test-* |
| - split: valid |
| path: data/valid-* |
| --- |
| |
| **Dataset Description** |
|
|
| The dataset contains the parallel NL-UL examples which can be used to train models for translation of natural language *claims* to UL. For the purposes of tractability, in this dataset we focus only on claims, i.e., short texts translated into UL. |
|
|
| **Features** |
|
|
| Each example in the dataset contains 4 features: |
|
|
| - "nl": Natural language utterances/short paragraphs |
| - "ul": UL representation of the "nl" |
| - "status": the status of UL translation, e.g., if it was approved (APPROVED) or if there were changes requested (CHANGE_REQUESTED) [Options: 'TRANSLATION_LEVEL_ASPIRATIONAL', 'TRANSLATION_LEVEL_INGESTIBLE_BUT_APPROXIMATE', 'TRANSLATION_LEVEL_EXACT', 'TRANSLATION_LEVEL_UNKNOWN'] |
| - "level": level of translation quality, e.g., exact or there are potential improvements [Options: 'REVIEW_REQUIRED', 'APPROVED', 'WONT_DO', 'DRAFT', 'CHANGES_REQUESTED', 'NOT_STARTED', 'BLOCKED'] |
| |
| **Dataset Statistics** |
| |
| The dataset was randomly split into train-validation-test splits into 90-5-5%. |
| |
| | Split | Percentage | N Examples | |
| | ------------- | ------------- | ------------- | |
| | Train | 90% | 5620 | |
| | Valid | 5% | 313 | |
| | Test | 5% | 313 | |
| | ------------- | ------------- | ------------- | |
| | Total: | | 6246 | |
