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metadata
license: mit
tags:
  - infinite-dataset-hub
  - synthetic

MongolienAnnotations

tags: classification, text, annotated

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'MongolienAnnotations' dataset is a collection of textual data from Mongolia, meticulously labeled for machine learning purposes. It encompasses various types of text, including social media posts, news articles, and transcripts of interviews, aiming to classify these texts into categories such as 'Cultural', 'Political', 'Social', and 'Economic'. The dataset is curated to facilitate the development of models for sentiment analysis and topic classification in the context of Mongolian text.

CSV Content Preview:

id,text,label
1,"Text in Mongolian about a traditional festival celebrating Mongolian culture.","Cultural"
2,"Local news article discussing the recent government policy changes in Mongolia.","Political"
3,"User-generated post on a social media platform about a community event in Ulaanbaatar.","Social"
4,"An excerpt from a transcript of an interview with a Mongolian economist discussing the impact of tourism.","Economic"
5,"Commentary on the historical significance of the Mongol Empire in shaping modern Mongolia.","Cultural"

This CSV preview includes five rows of data with Mongolian texts, each labeled with one of the categories mentioned. The 'id' column uniquely identifies each row, while the 'text' column contains the actual Mongolian text and the 'label' column assigns one of the predefined categories to each text snippet.

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'mongolien text':