aungthuhein-dev/betel-leaf

Betel Leaf Prices — Nan Witt Yee Market, MaLeTha Village, Myanmar

Daily betel leaf market prices from the Nan Witt Yee market in MaLeTha Village, Ayadaw Township, Sagaing Region, Myanmar, covering 2024-04-01 to 2026-03-20. Each day includes three price observations, one per leaf grade (Small / Normal / Big), along with calendar, seasonal, and festival context. The Market column value MALETHA refers to the village, not the market's proper name.

Full methodology, validation, and figures are documented in the accompanying paper, archived on Zenodo: 10.5281/zenodo.20390228.

Dataset Details

• —Rows: 1,800
• —Market: Nan Witt Yee market, MaLeTha Village, Ayadaw Township, Sagaing Region (single market)
• —Date range: 2024-04-01 – 2026-03-20
• —Price unit: Myanmar Kyat per viss (MMK/viss)
• —License: CC-BY-4.0

Data Collection

Collected from the market owner's handwritten daily paper transaction ledgers and manually transcribed into a spreadsheet. Where multiple prices were recorded for the same leaf grade on the same day, the average was used as that day's representative price. Random samples were cross-checked against the original paper records, and logical validation (positive prices, in-range dates, standardized categories) was applied during cleaning.

Dataset Structure

Leaf grade distribution

Each grade (S, N, B) has exactly 600 observations, one per date across the full date range.

Price summary

• —Min: 100 MMK/viss
• —Max: 32,000 MMK/viss
• —Mean: ~6,739 MMK/viss

Median price by season: Cool/Dry 11,000 · Hot/Dry 4,000 · Rainy/Monsoon 2,000 (MMK/viss). Median price by grade: Normal 8,000 · Big 5,000 · Small 2,000 (MMK/viss).

Data Instance

ID,Type,Price,Market,Date,Festival,Season,burmese_date,before_sabbath_eva,after_sabbath_eva
1,S,2000,MALETHA,2024-04-01,,Hot/Dry Season,"2567 Tabaung, Waning, 8",False,False

Usage

With `datasets`:

from datasets import load_dataset

ds = load_dataset("aungthuhein-dev/betel-leaf", split="train")
print(ds[0])
# {'ID': 1, 'Type': 'S', 'Price': 2000, 'Market': 'MALETHA', 'Date': '2024-04-01',
#  'Festival': None, 'Season': 'Hot/Dry Season', 'burmese_date': '2567 Tabaung, Waning, 8',
#  'before_sabbath_eva': False, 'after_sabbath_eva': False}

With `pandas`:

import pandas as pd

df = pd.read_csv("hf://datasets/aungthuhein-dev/betel-leaf/betel_leaf_prices.csv")
df["Date"] = pd.to_datetime(df["Date"])

# Average price by leaf grade
print(df.groupby("Type")["Price"].mean())

Intended Use

Useful for price trend analysis, time-series forecasting, and studying the relationship between betel leaf prices and Myanmar-specific calendar factors (festivals, seasons, and the traditional lunar calendar). Intended for academic, research, educational, and non-commercial community use.

Limitations & Scope

• —Single market, single crop. This covers only the Nan Witt Yee market in MaLeTha Village — it does not represent regional or national betel leaf prices.
• —~1,800 rows. Sufficient for classical time-series/regression methods; too small on its own for training large deep-learning models.
• —No external market drivers. No transport cost, fuel price, or exchange-rate data is included beyond the season/festival/sabbath labels.
• —Manually transcribed from paper ledgers. Validated via random cross-checks and logical rules (positive prices, in-range dates), but originates from handwritten records rather than machine-logged transactions.

Source

Collected from the Nan Witt Yee betel leaf market owner's daily paper transaction records, MaLeTha Village, Ayadaw Township, Sagaing Region, Myanmar.

Citation

If you use this dataset, please cite the accompanying paper:

@misc{hein2026betelleaf,
  author       = {Aung Thu Hein},
  title        = {Market Price Dataset for Betel Leaves Across Seasonal Trading Periods in Myanmar},
  year         = {2026},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.20390228},
  url          = {https://doi.org/10.5281/zenodo.20390228}
}