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Gepe55o/mountain-ner-dataset

Mountain Names NER Dataset Dataset Description A Named Entity Recognition dataset focused on identifying mountain names in text. The dataset contains tokenized text with corresponding NER tags where: Tag 1: Mountain name Tag 0: Not a mountain name Dataset Structure The dataset contains two main columns: tokens: List of tokenized words tags: Corresponding NER tags (0 or 1) Example: { 'tokens': ['The', 'Everest', 'is', 'the'… See the full description on the dataset page: https://huggingface.co/datasets/Gepe55o/mountain-ner-dataset.

sourceHugging Faceupdated 2y agoView on Hugging Face
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Mountain Names NER Dataset

Dataset Description

A Named Entity Recognition dataset focused on identifying mountain names in text. The dataset contains tokenized text with corresponding NER tags where:

  • —Tag 1: Mountain name
  • —Tag 0: Not a mountain name

Dataset Structure

The dataset contains two main columns:

  • —tokens: List of tokenized words
  • —tags: Corresponding NER tags (0 or 1)

Example:

python
{
    'tokens': ['The', 'Everest', 'is', 'the', 'highest', 'peak'],
    'tags': [0, 1, 0, 0, 0, 0]
}

Usage:

python
from datasets import load_dataset

dataset = load_dataset("Gepe55o/mountain-ner-dataset")

train_data = dataset["train"]
test_data = dataset["test"]

Dataset creation:

  • —Source data collected from NERetrive and Few-NERD datasets
  • —Filtered for mountain-related entities
  • —Converted to binary classification (mountain/non-mountain)