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ID
int64
1
1.8k
Type
stringclasses
3 values
Price
int64
100
32k
Market
stringclasses
1 value
Date
stringdate
2024-04-01 00:00:00
2026-03-20 00:00:00
Festival
stringclasses
7 values
Season
stringclasses
3 values
burmese_date
stringlengths
20
29
before_sabbath_eva
bool
2 classes
after_sabbath_eva
bool
2 classes
1
S
2,000
MALETHA
2024-04-01
null
Hot/Dry Season
2567 Tabaung, Waning, 8
false
false
2
N
10,000
MALETHA
2024-04-01
null
Hot/Dry Season
2567 Tabaung, Waning, 8
false
false
3
B
8,000
MALETHA
2024-04-01
null
Hot/Dry Season
2567 Tabaung, Waning, 8
false
false
4
S
1,000
MALETHA
2024-04-02
null
Hot/Dry Season
2567 Tabaung, Waning, 9
false
false
5
N
8,000
MALETHA
2024-04-02
null
Hot/Dry Season
2567 Tabaung, Waning, 9
false
false
6
B
8,000
MALETHA
2024-04-02
null
Hot/Dry Season
2567 Tabaung, Waning, 9
false
false
7
S
500
MALETHA
2024-04-03
null
Hot/Dry Season
2567 Tabaung, Waning, 10
false
false
8
N
8,000
MALETHA
2024-04-03
null
Hot/Dry Season
2567 Tabaung, Waning, 10
false
false
9
B
6,000
MALETHA
2024-04-03
null
Hot/Dry Season
2567 Tabaung, Waning, 10
false
false
10
S
1,000
MALETHA
2024-04-04
Hot/Dry Season
2567 Tabaung, Waning, 11
false
false
11
N
8,000
MALETHA
2024-04-04
Hot/Dry Season
2567 Tabaung, Waning, 11
false
false
12
B
7,000
MALETHA
2024-04-04
Hot/Dry Season
2567 Tabaung, Waning, 11
false
false
13
S
1,000
MALETHA
2024-04-05
Hot/Dry Season
2567 Tabaung, Waning, 12
true
false
14
N
12,000
MALETHA
2024-04-05
Hot/Dry Season
2567 Tabaung, Waning, 12
true
false
15
B
9,000
MALETHA
2024-04-05
Hot/Dry Season
2567 Tabaung, Waning, 12
true
false
16
S
4,000
MALETHA
2024-04-06
Before Thingyan
Hot/Dry Season
2567 Tabaung, Waning, 13
true
true
17
N
15,000
MALETHA
2024-04-06
Before Thingyan
Hot/Dry Season
2567 Tabaung, Waning, 13
true
true
18
B
10,000
MALETHA
2024-04-06
Before Thingyan
Hot/Dry Season
2567 Tabaung, Waning, 13
true
true
19
S
1,000
MALETHA
2024-04-08
Before Thingyan
Hot/Dry Season
2567 Late_Tagu, Waxing, 0
false
false
20
N
10,000
MALETHA
2024-04-08
Before Thingyan
Hot/Dry Season
2567 Late_Tagu, Waxing, 0
false
false
21
B
5,000
MALETHA
2024-04-08
Before Thingyan
Hot/Dry Season
2567 Late_Tagu, Waxing, 0
false
false
22
S
2,000
MALETHA
2024-04-09
Before Thingyan
Hot/Dry Season
2567 Late_Tagu, Waxing, 1
false
false
23
N
15,000
MALETHA
2024-04-09
Before Thingyan
Hot/Dry Season
2567 Late_Tagu, Waxing, 1
false
false
24
B
10,000
MALETHA
2024-04-09
Before Thingyan
Hot/Dry Season
2567 Late_Tagu, Waxing, 1
false
false
25
S
2,000
MALETHA
2024-04-10
Before Thingyan
Hot/Dry Season
2567 Late_Tagu, Waxing, 2
false
false
26
N
10,500
MALETHA
2024-04-10
Before Thingyan
Hot/Dry Season
2567 Late_Tagu, Waxing, 2
false
false
27
B
1,800
MALETHA
2024-04-10
Before Thingyan
Hot/Dry Season
2567 Late_Tagu, Waxing, 2
false
false
28
S
1,000
MALETHA
2024-04-11
Before Thingyan
Hot/Dry Season
2567 Late_Tagu, Waxing, 3
false
false
29
N
13,000
MALETHA
2024-04-11
Before Thingyan
Hot/Dry Season
2567 Late_Tagu, Waxing, 3
false
false
30
B
9,000
MALETHA
2024-04-11
Before Thingyan
Hot/Dry Season
2567 Late_Tagu, Waxing, 3
false
false
31
S
2,000
MALETHA
2024-04-17
After Thingyan
Hot/Dry Season
2567 Tagu, Waxing, 9
false
false
32
N
15,000
MALETHA
2024-04-17
After Thingyan
Hot/Dry Season
2567 Tagu, Waxing, 9
false
false
33
B
10,000
MALETHA
2024-04-17
After Thingyan
Hot/Dry Season
2567 Tagu, Waxing, 9
false
false
34
S
2,000
MALETHA
2024-04-18
After Thingyan
Hot/Dry Season
2567 Tagu, Waxing, 10
false
false
35
N
13,000
MALETHA
2024-04-18
After Thingyan
Hot/Dry Season
2567 Tagu, Waxing, 10
false
false
36
B
10,000
MALETHA
2024-04-18
After Thingyan
Hot/Dry Season
2567 Tagu, Waxing, 10
false
false
37
S
2,000
MALETHA
2024-04-19
After Thingyan
Hot/Dry Season
2567 Tagu, Waxing, 11
false
false
38
N
10,000
MALETHA
2024-04-19
After Thingyan
Hot/Dry Season
2567 Tagu, Waxing, 11
false
false
39
B
8,000
MALETHA
2024-04-19
After Thingyan
Hot/Dry Season
2567 Tagu, Waxing, 11
false
false
40
S
2,000
MALETHA
2024-04-20
After Thingyan
Hot/Dry Season
2567 Tagu, Waxing, 12
true
false
41
N
10,000
MALETHA
2024-04-20
After Thingyan
Hot/Dry Season
2567 Tagu, Waxing, 12
true
false
42
B
9,000
MALETHA
2024-04-20
After Thingyan
Hot/Dry Season
2567 Tagu, Waxing, 12
true
false
43
S
3,000
MALETHA
2024-04-21
After Thingyan
Hot/Dry Season
2567 Tagu, Waxing, 13
true
true
44
N
12,000
MALETHA
2024-04-21
After Thingyan
Hot/Dry Season
2567 Tagu, Waxing, 13
true
true
45
B
11,000
MALETHA
2024-04-21
After Thingyan
Hot/Dry Season
2567 Tagu, Waxing, 13
true
true
46
S
2,000
MALETHA
2024-04-23
null
Hot/Dry Season
2567 Tagu, Waning, 0
false
false
47
N
8,500
MALETHA
2024-04-23
null
Hot/Dry Season
2567 Tagu, Waning, 0
false
false
48
B
8,000
MALETHA
2024-04-23
null
Hot/Dry Season
2567 Tagu, Waning, 0
false
false
49
S
1,500
MALETHA
2024-04-24
null
Hot/Dry Season
2567 Tagu, Waning, 1
false
false
50
N
5,000
MALETHA
2024-04-24
null
Hot/Dry Season
2567 Tagu, Waning, 1
false
false
51
B
5,000
MALETHA
2024-04-24
null
Hot/Dry Season
2567 Tagu, Waning, 1
false
false
52
S
2,000
MALETHA
2024-04-25
null
Hot/Dry Season
2567 Tagu, Waning, 2
false
false
53
N
8,500
MALETHA
2024-04-25
null
Hot/Dry Season
2567 Tagu, Waning, 2
false
false
54
B
6,000
MALETHA
2024-04-25
null
Hot/Dry Season
2567 Tagu, Waning, 2
false
false
55
S
2,000
MALETHA
2024-04-26
null
Hot/Dry Season
2567 Tagu, Waning, 3
false
false
56
N
7,000
MALETHA
2024-04-26
null
Hot/Dry Season
2567 Tagu, Waning, 3
false
false
57
B
5,000
MALETHA
2024-04-26
null
Hot/Dry Season
2567 Tagu, Waning, 3
false
false
58
S
2,000
MALETHA
2024-04-27
null
Hot/Dry Season
2567 Tagu, Waning, 4
false
false
59
N
11,000
MALETHA
2024-04-27
null
Hot/Dry Season
2567 Tagu, Waning, 4
false
false
60
B
10,000
MALETHA
2024-04-27
null
Hot/Dry Season
2567 Tagu, Waning, 4
false
false
61
S
5,000
MALETHA
2024-04-28
null
Hot/Dry Season
2567 Tagu, Waning, 5
true
false
62
N
13,000
MALETHA
2024-04-28
null
Hot/Dry Season
2567 Tagu, Waning, 5
true
false
63
B
11,000
MALETHA
2024-04-28
null
Hot/Dry Season
2567 Tagu, Waning, 5
true
false
64
S
3,000
MALETHA
2024-05-01
null
Hot/Dry Season
2567 Tagu, Waning, 8
false
false
65
N
11,000
MALETHA
2024-05-01
null
Hot/Dry Season
2567 Tagu, Waning, 8
false
false
66
B
9,000
MALETHA
2024-05-01
null
Hot/Dry Season
2567 Tagu, Waning, 8
false
false
67
S
3,000
MALETHA
2024-05-02
null
Hot/Dry Season
2567 Tagu, Waning, 9
false
false
68
N
13,000
MALETHA
2024-05-02
null
Hot/Dry Season
2567 Tagu, Waning, 9
false
false
69
B
10,000
MALETHA
2024-05-02
null
Hot/Dry Season
2567 Tagu, Waning, 9
false
false
70
S
6,000
MALETHA
2024-05-03
null
Hot/Dry Season
2567 Tagu, Waning, 10
false
false
71
N
15,000
MALETHA
2024-05-03
null
Hot/Dry Season
2567 Tagu, Waning, 10
false
false
72
B
12,000
MALETHA
2024-05-03
null
Hot/Dry Season
2567 Tagu, Waning, 10
false
false
73
S
5,000
MALETHA
2024-05-04
null
Hot/Dry Season
2567 Tagu, Waning, 11
true
false
74
N
13,000
MALETHA
2024-05-04
null
Hot/Dry Season
2567 Tagu, Waning, 11
true
false
75
B
13,000
MALETHA
2024-05-04
null
Hot/Dry Season
2567 Tagu, Waning, 11
true
false
76
S
5,000
MALETHA
2024-05-05
null
Hot/Dry Season
2567 Tagu, Waning, 12
true
true
77
N
15,000
MALETHA
2024-05-05
null
Hot/Dry Season
2567 Tagu, Waning, 12
true
true
78
B
10,000
MALETHA
2024-05-05
null
Hot/Dry Season
2567 Tagu, Waning, 12
true
true
79
S
5,000
MALETHA
2024-05-07
null
Hot/Dry Season
2567 Kason, Waxing, 0
false
false
80
N
16,000
MALETHA
2024-05-07
null
Hot/Dry Season
2567 Kason, Waxing, 0
false
false
81
B
13,000
MALETHA
2024-05-07
null
Hot/Dry Season
2567 Kason, Waxing, 0
false
false
82
S
2,000
MALETHA
2024-05-08
null
Hot/Dry Season
2567 Kason, Waxing, 1
false
false
83
N
12,000
MALETHA
2024-05-08
null
Hot/Dry Season
2567 Kason, Waxing, 1
false
false
84
B
10,000
MALETHA
2024-05-08
null
Hot/Dry Season
2567 Kason, Waxing, 1
false
false
85
S
4,000
MALETHA
2024-05-09
null
Hot/Dry Season
2567 Kason, Waxing, 2
false
false
86
N
15,000
MALETHA
2024-05-09
null
Hot/Dry Season
2567 Kason, Waxing, 2
false
false
87
B
15,000
MALETHA
2024-05-09
null
Hot/Dry Season
2567 Kason, Waxing, 2
false
false
88
S
5,000
MALETHA
2024-05-10
null
Hot/Dry Season
2567 Kason, Waxing, 3
false
false
89
N
20,000
MALETHA
2024-05-10
null
Hot/Dry Season
2567 Kason, Waxing, 3
false
false
90
B
20,000
MALETHA
2024-05-10
null
Hot/Dry Season
2567 Kason, Waxing, 3
false
false
91
S
5,000
MALETHA
2024-05-11
null
Hot/Dry Season
2567 Kason, Waxing, 4
false
false
92
N
20,000
MALETHA
2024-05-11
null
Hot/Dry Season
2567 Kason, Waxing, 4
false
false
93
B
20,000
MALETHA
2024-05-11
null
Hot/Dry Season
2567 Kason, Waxing, 4
false
false
94
S
5,000
MALETHA
2024-05-12
null
Hot/Dry Season
2567 Kason, Waxing, 5
true
false
95
N
20,000
MALETHA
2024-05-12
null
Hot/Dry Season
2567 Kason, Waxing, 5
true
false
96
B
20,000
MALETHA
2024-05-12
null
Hot/Dry Season
2567 Kason, Waxing, 5
true
false
97
S
5,000
MALETHA
2024-05-13
null
Hot/Dry Season
2567 Kason, Waxing, 6
true
true
98
N
22,000
MALETHA
2024-05-13
null
Hot/Dry Season
2567 Kason, Waxing, 6
true
true
99
B
20,000
MALETHA
2024-05-13
null
Hot/Dry Season
2567 Kason, Waxing, 6
true
true
100
S
5,000
MALETHA
2024-05-15
null
Hot/Dry Season
2567 Kason, Waxing, 8
false
false
End of preview. Expand in Data Studio

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

Column Type Description
ID int Row identifier
Type string Leaf grade: S = Small, N = Normal, B = Big
Price int Market price in MMK per viss for that grade on that date
Market string Village name (MALETHA for all rows); the actual market is Nan Witt Yee
Date date (YYYY-MM-DD) Gregorian calendar date
Festival string Nearby Myanmar festival window, if any (e.g. Before Thingyan, After Thadingyut, Before Tazaungdaing); blank if none
Season string Myanmar seasonal period: Hot/Dry Season, Rainy/Monsoon Season, Cool/Dry Season
burmese_date string Corresponding traditional Myanmar calendar date (e.g. 2567 Tabaung, Waning, 8)
before_sabbath_eva bool Whether the date falls on the eve before a Buddhist sabbath (Uposatha) day
after_sabbath_eva bool Whether the date falls the day after a Buddhist sabbath (Uposatha) day

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}
}
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