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README.md

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----
-license: apache-2.0
----
+---
+language:
+- bo
+- mn
+- ug
+license: cc-by-4.0
+pretty_name: CMHG (Chinese Minority Language Headline Generation) Dataset
+size_categories:
+- 100K<n<1M
+dataset_info:
+  features:
+    - name: id
+      dtype: string
+    - name: title
+      dtype: string
+    - name: content
+      dtype: string
+    - name: title_match_1
+      dtype: float32
+    - name: title_match_2
+      dtype: float32
+    - name: tendency
+      dtype: string
+    - name: average_score
+      dtype: float32
+    - name: score_difference
+      dtype: float32
+  task_categories:
+    - text-generation
+  task_ids:
+    - headline-generation
+---
+# CMHG Dataset
+
+## Overview
+
+The CMHG (Chinese Minority Language Headline Generation) Dataset is a comprehensive collection of headline generation data for three Chinese minority languages:
+
+- **Tibetan (bo)**: 100,000 entries
+- **Mongolian (mn)**: 50,000 entries
+- **Uyghur (ug)**: 50,000 entries
+
+## Dataset Details
+
+This dataset is designed for training and evaluating headline generation models in these minority languages. Each entry consists of a content body and its corresponding headline.
+
+### Annotation Details
+
+3,000 entries from each language have been manually annotated by two annotators with scores on a 1-5 scale for the following attributes:
+
+- `title_match_1`: Headline relevance score from annotator 1
+- `title_match_2`: Headline relevance score from annotator 2
+- `tendency`: Overall tendency of the headline
+- `average_score`: Average score of the two annotators
+- `score_difference`: Difference between the two annotators' scores
+
+### Quality Classification
+
+Based on the average_score, the data has been divided into two quality categories:
+
+- **High-quality data**: Entries with an average_score of 4 or higher
+- **Low-quality data**: Entries with an average_score below 4
+
+## Data Format
+
+Each CSV file contains the following fields:
+
+- `id`: Unique identifier for the entry
+- `title`: Generated headline
+- `content`: Original content body
+- `title_match_1`: Score from first annotator
+- `title_match_2`: Score from second annotator
+- `tendency`: Overall tendency
+- `average_score`: Average score
+- `score_difference`: Score difference between annotators

bo/average_score_4_or_higher.csv

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+size 16805094

bo/bo-all.csv

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+size 570812548

mn/average_score_4_or_higher.csv

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mn/mn-all.csv

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ug/average_score_4_or_higher.csv

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+size 27036262

ug/ug-3.csv

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