metadata
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 |