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---
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 | |