---
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].