README.md

---
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  |