SubmissionData / README.md
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metadata
annotations_creators: []
language:
  - en
language_creators: []
license:
  - cc-by-nc-sa-4.0
multilinguality:
  - monolingual
pretty_name: CompanyWeb
size_categories:
  - 1M<n<10M
source_datasets: []
tags:
  - business
  - company websites
task_categories:
  - fill-mask
  - other
task_ids:
  - masked-language-modeling

Dataset Card for "CompanyWeb"

Table of Contents

Dataset Description

Dataset Summary

The dataset contains textual content extracted from 1,788,413 company web pages of 393,542 companies. The companies included in the dataset are small, medium and large international enterprises including publicly listed companies. Additional company information is provided in form of the corresponding Standard Industry Classification (SIC) label sic4. The text includes all textual information contained on the website with a timeline ranging from 2014 to 2021. The search includes all subsequent pages with links from the homepage containing the company domain name. We filter the resulting textual data to only include English text utilizing the FastText language detection API (Joulin et al., 2016).

Supported Tasks and Leaderboards

[More Information Needed]

Languages

  • en

Dataset Structure

Data Instances

  • #Instances: 1789413
  • #Companies: 393542
  • #Timeline: 2014-2021

Data Fields

  • id: instance identifier (string)
  • cid: company identifier (string)
  • text: website text (string)
  • sic4: 4-digit SIC (string)

Data Splits

[PLACEHOLDER]

Dataset Creation

Curation Rationale

[PLACEHOLDER]

Source Data

Initial Data Collection and Normalization

[PLACEHOLDER]

Who are the source language producers?

[PLACEHOLDER]

Annotations

Annotation process

[PLACEHOLDER]

Who are the annotators?

[PLACEHOLDER]

Personal and Sensitive Information

[PLACEHOLDER]

Considerations for Using the Data

Social Impact of Dataset

[PLACEHOLDER]

Discussion of Biases

[PLACEHOLDER]

Other Known Limitations

[PLACEHOLDER]

Additional Information

Dataset Curators

[PLACEHOLDER]

Licensing Information

[PLACEHOLDER]

Citation Information

@misc{title_year,
      title={TITLE},
      author={AUTHORS},
      year={YEAR},
}

Contributions

[PLACEHOLDER]