FinCorpus-DE10k is a corpus containing 12,235 PDF files of financial documents, mostly security prospectuses, along with plaintext files for approximately 10,500 of these documents. The documents are primarily in German (71%), with the rest being bilingual (German and English). This dataset aims to facilitate tasks like text analysis, language modeling, and document understanding in the financial domain.

Curated by: Nata Kozaeva, Serhii Hamotskyi, Christian Hänig
Language(s) (NLP): German (DE), Bilingual (German and English)
License: As a whole CC BY-NC 4.0 except Infomaterials, IFRS, BBK_monthly and Annual_reports (see below)

It's composed of multiple collections, available as dataset configs as:

Annual_reports
BBK_monthly
Base_prospectuses
Final_terms
IFRS
Informational_materials
Law

(By default, all collections are downloaded).

The entire corpus, pdf and txt files, can be downloaded here: https://huggingface.co/datasets/anhaltai/fincorpus-de-10k-complete/resolve/main/data/corpus.zip?download=true

Dataset Sources

The FinCorpus-DE10k dataset is composed of financial documents from various collections, each with its unique characteristics and source of origin. The documents were primarily sourced from the websites of financial institutions, regulatory bodies, and publicly available databases, with significant contributions from the Deutsche Bundesbank. The dataset includes:

Final Terms Prospectuses: These documents detail the terms and conditions of the issuance of financial securities, predominantly collected by the Deutsche Bundesbank. They form the largest part of the dataset, with documents ranging from 1 to 719 pages, but mainly under 100 pages.
Base Prospectuses: Containing information about the issuer, description of the security, and the summary of the prospectus. These documents are longer and fewer compared to the Final Terms but hold comprehensive information required for investors.
Annual Reports: This collection includes annual (and some quarterly) reports from the Bundesbank and other institutions, covering economic and financial issues, monetary policy, and financial stability risks. Licensed CC BY-NC-ND 4.0
International Financial Reporting Standards (IFRS): Comprising the EU International Financial Reporting Standards documents from 2017 to 2023, these are vital for ensuring corporate transparency and comparability of financial statements across international borders.
- DANGER ZONE: licensing unclear, see IFRS - IFRS Sustainability Licensing ('free for personal non-commercial use' but with limitations that may or may not apply to you).
Informational Materials: This collection contains miscellaneous brochures and advertisements in the area of finance, targeting a general audience with a variety of fonts, photos, and colors.
- DANGER ZONE: the materials contained (including graphics, formatting etc.) were created by different entities with differing licenses and applicable copyright laws and differs on a per-document basis. Compliance to the applicable laws is your own responsibility.
Law: Featuring German laws in the financial and related domains, including some English translations. This collection reflects the regulations applicable to the financial sector in Germany and EU Directives implemented into German law.
Bundesbank Monthly Reports: Consisting of 838 monthly reports from the German Bundesbank, spanning from 1949 to 2022. These documents offer a historical perspective on the German financial language. We didn't extract text from these documents. Licensed CC BY-NC-ND 4.0

The collection as a whole is licensed CC BY-NC 4.0 if not stated otherwise.

Repository: https://github.com/AnhaltAI/fincorpus-de-10k-scripts/
Paper: https://aclanthology.org/2024.lrec-main.639/

Uses

Direct Use

By providing a rich collection of financial documents in PDF format, the dataset facilitates the development of algorithms that can navigate the complex layouts typically found in financial documents. FinCorpus-DE10k is also suited for developing and testing NLP models specialized in the financial domain, including but not limited to information extraction, named entity recognition, and specialized language models.

Dataset Creation

Source Data

Data Collection and Processing

Extensive preprocessing was applied to ensure the quality and uniformity of the dataset. It's described in our paper: https://aclanthology.org/2024.lrec-main.639/

Who are the source data producers?

The documents were produced by various financial institutions, regulatory bodies, companies, and the Deutsche Bundesbank.

Personal and Sensitive Information

The dataset contains financial documents that are publicly available.

Licensing

We diligently adhered to the licensing guidelines to the best of our understanding. However, the responsibility for the use of the documents and compliance with applicable laws rests with you.

Get in touch with us if any of the documents need to be removed from the collection.

Relevant links are:

Bundesbank monthly+annual allows using its documents if they are unchanged, hence the CC BY-NC-ND license: Nutzungsbedingungen - Für den allgemeinen Gebrauch der Website | Deutsche Bundesbank
IFRS - IFRS Sustainability Licensing
German laws are public domain: Act on Copyright and Related Rights (Urheberrechtsgesetz – UrhG)
Final terms documents can be considered public domain (at least their content), as the relevant EU regulation mandates they are published and freely accessible: L_2017168EN.01001201.xml

Citation

@inproceedings{hamotskyi-etal-2024-fincorpus,
    title = "{F}in{C}orpus-{DE}10k: A Corpus for the {G}erman Financial Domain",
    author = {Hamotskyi, Serhii  and
      Kozaeva, Nata  and
      H{\"a}nig, Christian},
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.639/",
    pages = "7277--7285",
    abstract = "We introduce a predominantly German corpus comprising 12.5k PDF documents sourced from the financial domain. The corresponding extracted textual data encompasses more than 165 million tokens derived predominantly from German, and to a lesser extent, bilingual documents. We provide detailed information about the document types included in the corpus, such as final terms, base prospectuses, annual reports, information materials, law documents, international financial reporting standards, and monthly reports from the Bundesbank, accompanied by comprehensive statistical analysis. To our knowledge, it is the first non-email German financial corpus available, and we hope it will fill this gap and foster further research in the financial domain both in the German language and in multilingual contexts."
}

Downloads last month: 4