| ---
|
| license: mit
|
| dataset_info:
|
| features:
|
| - name: sub-domain
|
| dtype: string
|
| - name: target_text
|
| dtype: string
|
| - name: date
|
| dtype: string
|
| - name: language
|
| dtype: string
|
| - name: source_text
|
| dtype: string
|
| - name: unique id
|
| dtype: int64
|
| - name: hereafter_tagged
|
| dtype: string
|
| - name: reordering_tagged
|
| list: string
|
| - name: ctxpro_tagged
|
| list: string
|
| - name: muda_tagged
|
| dtype: string
|
| splits:
|
| - name: train
|
| num_bytes: 1342965218
|
| num_examples: 112861
|
| - name: test
|
| num_bytes: 168675404
|
| num_examples: 10000
|
| download_size: 613384554
|
| dataset_size: 1511640622
|
| configs:
|
| - config_name: default
|
| data_files:
|
| - split: train
|
| path: data/train-*
|
| - split: test
|
| path: data/test-*
|
| ---
|
|
|
| # Dataset Card
|
|
|
| Flipper was created as part of an academic research project led by [Dragon LLM](https://dragonllm.ai) and the [Laboratoire d'Informatique de Grenoble](https://www.liglab.fr/fr), group [GETALP](https://lig-getalp.imag.fr/fr/accueil/).
|
|
|
| It is built from publicly available documents that are specialised in finance, containing mainly financial regulatory texts, that underwent a long processing pipeline.
|
| This dataset allows the training and evaluation of document-level machine translation in the domain of finance.
|
|
|
|
|
| For more information about this dataset, please refer to the accompanying paper: [paper published soon].
|
|
|
