File size: 1,454 Bytes
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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
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- name: unique id
dtype: int64
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- name: muda_tagged
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splits:
- name: train
num_bytes: 1342965218
num_examples: 112861
- name: test
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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].
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