ms_terms / README.md
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metadata
annotations_creators:
  - expert-generated
language_creators:
  - expert-generated
languages:
  - af
  - sq
  - am
  - ar
  - hy
  - as
  - az
  - bn
  - other-bn-india
  - eu
  - be
  - bs
  - other-bs-latin
  - bg
  - ca
  - ku
  - chr
  - zh
  - other-zh-Hant_HK
  - other-zh-Hant_TW
  - hr
  - cs
  - da
  - prs
  - nl
  - en
  - et
  - fil
  - fi
  - fr
  - other-fr_CA
  - gl
  - ka
  - de
  - el
  - gu
  - ha
  - he
  - hi
  - hu
  - is
  - ig
  - id
  - iu
  - ga
  - xh
  - zu
  - it
  - ja
  - quc
  - kn
  - kk
  - km
  - rw
  - swh
  - knn
  - ko
  - ky
  - lo
  - lv
  - lt
  - lb
  - mk
  - other-ms-brunei (Brunei Darus-)
  - ms
  - ml
  - mt
  - mi
  - mr
  - mn
  - ne
  - nb
  - nn
  - ory
  - pst
  - fa
  - pl
  - other-pt-br
  - pt
  - pa
  - pa
  - qu
  - ro
  - ru
  - gd
  - other-sr-bih
  - sr
  - other-sr-latin
  - st
  - tn
  - sd
  - si
  - sk
  - sl
  - es
  - other-es-MX
  - sv
  - tg
  - ta
  - tt
  - te
  - th
  - ti
  - tr
  - tk
  - uk
  - ur
  - ug
  - uz
  - other-valencian
  - vi
  - guc
  - cy
  - wo
  - yo
licenses:
  - ms-pl
multilinguality:
  - multilingual
  - translation
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - conditional-text-generation
task_ids:
  - machine-translation

Dataset Card for [ms_terms]

Table of Contents

Dataset Description

  • Homepage:

Microsoft Terminology Collection

  • Repository:
  • Paper:
  • Leaderboard:
  • Point of Contact:

Dataset Summary

The Microsoft Terminology Collection can be used to develop localized versions of applications that integrate with Microsoft products. It can also be used to integrate Microsoft terminology into other terminology collections or serve as a base IT glossary for language development in the nearly 100 languages available. Terminology is provided in .tbx format, an industry standard for terminology exchange.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

Nearly 100 Languages.

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]