electricsheepasia/asia-lebanon-cadastral-name-and-pcodes

Lebanon Cadastral Name and Pcodes

Publisher: OCHA Lebanon · Source: HDX · License: other-pd-nr · Updated: 2024-09-13

---

Abstract

Cadastral boundaries in Lebanon is considered the 4th level administrative boundary after national, governorate and district.

Each row in this dataset represents subnational administrative unit observations. Data was last updated on HDX on 2024-09-13. Geographic scope: LBN.

Curated into ML-ready Parquet format by Electric Sheep Africa.

---

Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	Subnational administrative unit observations
Rows (total)	1,628
Columns	11 (2 numeric, 9 categorical, 0 datetime)
Train split	1,302 rows
Test split	325 rows
Geographic scope	LBN
Publisher	OCHA Lebanon
HDX last updated	2024-09-13

---

Variables

Geographic — district_name (Akkar, Jbeil, Chouf).

Outcome / Measurement — governorate_name (Mount Lebanon, North, Bekaa).

Identifier / Metadata — dist_code (LBN51, LBN34, LBN33), acs_code (range 0.0–74181.0), cad_code ( , 26, 24), cadaster_name (litige, Conflict, ), cad_ref_name (litige, Conflict, Birket Hjoula) and 3 others.

Other — gov_cod (LBN3, LBN5, LBN2).

---

Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-lebanon-cadastral-name-and-pcodes")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

---

Schema

Column	Type	Null %	Range / Sample Values
governorate_name	object	0.0%	Mount Lebanon, North, Bekaa
gov_cod	object	0.0%	LBN3, LBN5, LBN2
district_name	object	0.0%	Akkar, Jbeil, Chouf
dist_code	object	0.0%	LBN51, LBN34, LBN33
acs_code	int64	0.0%	0.0 – 74181.0 (mean 40632.5166)
cad_code	object	0.0%	, 26, 24
cadaster_name	object	0.0%	litige, Conflict,
cad_ref_name	object	0.0%	litige, Conflict, Birket Hjoula
un_id	int64	0.0%	2.0 – 1644.0 (mean 822.0246)
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-05-04

---

Numeric Summary

Column	Min	Max	Mean	Median
acs_code	0.0	74181.0	40632.5166	35230.0
un_id	2.0	1644.0	822.0246	821.5

---

Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

---

Limitations

• Data originates from OCHA Lebanon and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

---

Citation

@dataset{hdx_asia_lebanon_cadastral_name_and_pcodes,
  title     = {Lebanon Cadastral Name and Pcodes},
  author    = {OCHA Lebanon},
  year      = {2024},
  url       = {https://data.humdata.org/dataset/lebanon-cadastral-name-and-pcodes},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

---

Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.