Error code:   ConfigNamesError
Exception:    TypeError
Message:      SplitInfo.__init__() got an unexpected keyword argument 'download_size'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
                  ).get_module()
                    ~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 622, in get_module
                  dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 396, in from_dataset_card_data
                  dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 319, in _from_yaml_dict
                  yaml_data["splits"] = SplitDict._from_yaml_list(yaml_data["splits"])
                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/splits.py", line 610, in _from_yaml_list
                  return cls.from_split_dict(yaml_data)
                         ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/splits.py", line 580, in from_split_dict
                  split_info = SplitInfo(**split_info)
              TypeError: SplitInfo.__init__() got an unexpected keyword argument 'download_size'

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🇲🇲 Open Myanmar Data: Myanmar Kings & Historical Narrative Dataset

📌 Dataset Summary

This repository contains a clean, high-quality, sentence-segmented historical narrative dataset regarding Myanmar history, royal dynasties (Pagan, Toungoo, Konbaung), and notable historical figures extracted directly from Myanmar Wikipedia.

Curated and cleaned by Aung Ko Ko Oo (Founder, Burmese NLP Research Group).

📊 Dataset Overview

Total Sentences: 1,242
Duplication Rate: 0.00% (100% unique clean sentences)
Data Type: Historical Narrative
Source: Myanmar Wikipedia (Attribution under CC BY-SA 4.0)

📂 Dataset Structure

Column	Data Type	Description
`row_id`	String	Unique identifier (e.g., `MY_HIST_00001`)
`source_topic`	String	Wikipedia topic/entity title
`sentence`	String	Clean Myanmar sentence ending with standard boundary (`။`)
`data_type`	String	Text category (`Historical Narrative`)

💡 Intended Use Cases

Retrieval-Augmented Generation (RAG): Knowledge indexing for Burmese historical QA chatbots.
Sentence Embedding & Vector Search: Benchmarking Burmese semantic similarity and clustering.
Information Extraction (IE): Named Entity Recognition (NER) and Relation Extraction for Burmese history.

💻 How to Use

1. Load via Hugging Face `datasets` Library

from datasets import load_dataset

# Load from Hugging Face Hub
dataset = load_dataset("austin2029/open-myanmar-data")
print(dataset['train'][0])

import pandas as pd

df = pd.read_csv("myanmar_kings/myanmar_kings_dataset.csv")
print(df.head())

@misc{open_myanmar_data_2026,
  author = {Aung Ko Ko Oo},
  title = {Open Myanmar Data: Myanmar Kings & Historical Narrative Dataset},
  year = {2026},
  publisher = {GitHub / Hugging Face},
  howpublished = {\url{[https://github.com/Aung-Ko-Ko-Oo/open-myanmar-data](https://github.com/Aung-Ko-Ko-Oo/open-myanmar-data)}}
}

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