Duplicate from bettergovph/open-customs-data

Co-authored-by: Jordan Duabe <j4ckofalltrades@users.noreply.huggingface.co>

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README.md

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+---
+language:
+  - en
+tags:
+  - trade
+  - customs
+  - philippines
+  - economics
+  - government
+  - imports
+size_categories:
+  - 10M<n<100M
+configs:
+- config_name: default
+  data_files: "combined.parquet"
+---
+
+# Open Customs Data
+
+## Dataset Summary
+
+This dataset contains **65,163,468 import transactions** from the Bureau of Customs of the Philippines spanning from **2012 to 2025**. It represents a comprehensive record of goods imported into the Philippines, including detailed information on product classifications, values, duties paid, countries of origin, and ports of entry.
+
+The data was extracted from the Bureau of Customs' electronic2mobile (e2m) system and has been cleaned, standardized, and unified for research purposes. The original 2012-2019 data contains 20,255,360 transactions with 30 variables, while the extended 2020-2025 data adds 44,908,108 transactions. All data has been combined into a unified schema with 37 columns.
+
+## Languages
+
+The dataset is primarily in English (`en`).
+
+## Dataset Structure
+
+### Data Instances
+
+The unified dataset is available in Parquet format combining all years from 2012 to 2025. The data follows a standardized schema across all years with 37 columns.
+
+Example record structure:
+```json
+{
+  "year": 2012,
+  "month": null,
+  "quarter": 1,
+  "month_code": null,
+  "uid": "2012q1 00000001",
+  "entry_number": null,
+  "hs_code": "15119090000",
+  "goods_description": "PALM OLEIN IN BULK",
+  "country_origin": "MYS",
+  "country_export": "MYS",
+  "quantity": 2499867,
+  "unit_of_measure": null,
+  "unit_price": 0.97359568,
+  "gross_mass_kg": null,
+  "net_mass_kg": null,
+  "currency": "USD",
+  "dutiable_value_foreign": 2486856.15,
+  "exchange_rate": 43.921,
+  "dutiable_value_php": 109225209,
+  "customs_value": null,
+  "fx_usd": 1,
+  "fob_value": 2433859.8,
+  "cif_value": 2486856.3,
+  "freight": null,
+  "insurance": null,
+  "arrastre": 274985,
+  "wharfage": null,
+  "duty": 0,
+  "vat_base": 112934962,
+  "vat": 13552195,
+  "excise_ad_valorem": 0,
+  "duties_taxes_total": 13552195,
+  "other_tax": null,
+  "fines_penalties": null,
+  "preference_code": "AFTA",
+  "port": null,
+  "subport": null
+}
+```
+
+### Data Fields
+
+The unified schema contains 37 columns standardized across all years (2012-2025):
+
+| Field | Description | Data Type |
+|-------|-------------|-----------|
+| `year` | Transaction year (2012-2025) | Int32 |
+| `month` | Transaction month (1-12) | Int32 |
+| `quarter` | Transaction quarter (1-4) | Int32 |
+| `month_code` | Month code identifier | String |
+| `uid` | Unique identifier for each transaction | String |
+| `entry_number` | Entry declaration number | String |
+| `hs_code` | Harmonized System tariff code (typically 11-digit AHTN) | String |
+| `goods_description` | Text description of the imported goods | String |
+| `country_origin` | Country of origin (ISO 3166-1 alpha-3 code or full name) | String |
+| `country_export` | Country of export (ISO 3166-1 alpha-3 code or full name) | String |
+| `quantity` | Quantity of goods imported | Float64 |
+| `unit_of_measure` | Unit of measurement for quantity | String |
+| `unit_price` | Unit price (calculated as dutiable value / quantity) | Float64 |
+| `gross_mass_kg` | Gross mass in kilograms | Float64 |
+| `net_mass_kg` | Net mass in kilograms | Float64 |
+| `currency` | Original currency code of the transaction | String |
+| `dutiable_value_foreign` | Dutiable value in foreign currency | Float64 |
+| `exchange_rate` | Exchange rate to convert to Philippine Peso | Float64 |
+| `dutiable_value_php` | Dutiable value in Philippine Peso | Float64 |
+| `customs_value` | Customs valuation amount | Float64 |
+| `fx_usd` | Exchange rate to convert foreign currency to USD | Float64 |
+| `fob_value` | Free on Board value in USD | Float64 |
+| `cif_value` | Cost, Insurance, and Freight value in USD | Float64 |
+| `freight` | Freight charges | Float64 |
+| `insurance` | Insurance charges | Float64 |
+| `arrastre` | Arrastre (cargo handling) charges in PHP | Float64 |
+| `wharfage` | Wharfage fees in PHP | Float64 |
+| `duty` | Customs duty paid in PHP | Float64 |
+| `vat_base` | Base amount for VAT computation in PHP | Float64 |
+| `vat` | Value Added Tax paid in PHP | Float64 |
+| `excise_ad_valorem` | Ad valorem excise tax paid in PHP | Float64 |
+| `duties_taxes_total` | Total duties and taxes paid in PHP | Float64 |
+| `other_tax` | Other taxes paid in PHP | Float64 |
+| `fines_penalties` | Fines and penalties assessed in PHP | Float64 |
+| `preference_code` | Preferential trade agreement code (e.g., AFTA, ACFTA, JPEPA, AKFTA, AANZFTA) | String |
+| `port` | Port of entry code | String |
+| `subport` | Subport of entry code | String |
+
+### Data Splits
+
+The complete unified dataset spans 2012-2025 with yearly distribution:
+
+| Year | Transactions | Percentage |
+|------|--------------|------------|
+| 2012 | 1,193,628 | 1.83% |
+| 2013 | 1,225,431 | 1.88% |
+| 2014 | 1,421,241 | 2.18% |
+| 2015 | 2,236,612 | 3.43% |
+| 2016 | 3,140,436 | 4.82% |
+| 2017 | 3,490,131 | 5.36% |
+| 2018 | 3,753,118 | 5.76% |
+| 2019 | 3,794,763 | 5.82% |
+| 2020 | 3,173,563 | 4.87% |
+| 2021 | 6,813,301 | 10.46% |
+| 2022 | 8,031,537 | 12.33% |
+| 2023 | 8,467,089 | 12.99% |
+| 2024 | 8,992,137 | 13.80% |
+| 2025 | 9,430,481 | 14.47% |
+| **Total** | **65,163,468** | **100%** |
+
+**Original Source Data:**
+- 2012-2019: 8 CSV files totaling 3.8 GB with 20,255,360 transactions
+- 2020-2025: 6 yearly partitioned Parquet files totaling 44,908,108 transactions
+
+### Parquet Files
+
+The dataset is available in Apache Parquet format for improved query performance and reduced storage.
+
+#### Unified Combined File (2012-2025)
+
+`combined.parquet` contains all 65+ million transactions with a unified schema in a single file (4.92 GB).
+
+**Best for:** Full dataset queries, cross-year analysis, and comprehensive research requiring all historical data.
+
+```python
+# Python - Polars
+import polars as pl
+df = pl.read_parquet('combined.parquet')
+
+# Python - Pandas
+import pandas as pd
+df = pd.read_parquet('combined.parquet')
+
+# DuckDB
+SELECT * FROM 'combined.parquet' WHERE year = 2024 LIMIT 10;
+```
+
+**Key Statistics:**
+- Total rows: 65,163,468
+- Total columns: 37
+- Unique HS codes: 20,639
+- Date range: 2012-2025
+- Total dutiable value: ₱103 trillion
+- Total duties & taxes: ₱15.3 trillion
+
+#### Yearly Partitioned Files
+
+`yearly/parquet/` contains separate files for each year:
+
+| File | Size | Transactions |
+|------|------|--------------|
+| 2012.parquet | 86 MB | 1,193,628 |
+| 2013.parquet | 89 MB | 1,225,431 |
+| 2014.parquet | 105 MB | 1,421,241 |
+| 2015.parquet | 156 MB | 2,236,612 |
+| 2016.parquet | 222 MB | 3,140,436 |
+| 2017.parquet | 252 MB | 3,490,131 |
+| 2018.parquet | 268 MB | 3,753,118 |
+| 2019.parquet | 273 MB | 3,794,763 |
+| 2020.parquet | - | 3,173,563 |
+| 2021.parquet | - | 6,813,301 |
+| 2022.parquet | - | 8,031,537 |
+| 2023.parquet | - | 8,467,089 |
+| 2024.parquet | - | 8,992,137 |
+| 2025.parquet | - | 9,430,481 |
+
+```python
+# Read all years
+df = pl.read_parquet('yearly/parquet/*.parquet')
+
+# Read specific year
+df_2024 = pl.read_parquet('yearly/parquet/2024.parquet')
+```
+
+## Dataset Creation
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+The data was extracted from the Bureau of Customs' electronic2mobile (e2m) system, which is the official electronic customs processing system in the Philippines.
+
+**2012-2019 Data:** Original dataset published by Ken Abante (2020), containing 20,255,360 transactions extracted from the e2m system.
+
+**2020-2025 Data:** Extended dataset obtained from the Bureau of Customs via their OneDrive repository at https://customsph-my.sharepoint.com/personal/delakrusj_customs_gov_ph/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fdelakrusj%5Fcustoms%5Fgov%5Fph%2FDocuments%2FImport%20Entries&ga=1, containing 44,908,108 additional transactions.
+
+### Annotations
+
+#### Data Enrichment and Unification
+
+To create a unified dataset spanning 2012-2025, the following transformations and annotations were applied:
+
+**2020-2025 Data Processing:**
+- **Year and month extraction:** Year and month columns were extracted from the original Excel filenames (format: YYYY-MM) and added as separate columns to enable temporal analysis
+- **Source format:** Original data provided as Excel (.xlsx) files, one per month, converted to Parquet format
+- **Schema standardization:** Column names and data types were standardized to match the unified 37-column schema
+
+**Schema Unification (2012-2025):**
+- Columns from both data sources (2012-2019 and 2020-2025) were mapped to a common schema with 37 unified columns
+- Column name standardization: Original column names were converted to snake_case format (e.g., `dutiablevaluephp` → `dutiable_value_php`)
+- Data type normalization: All numeric fields standardized to Float64, temporal fields to Int32, and identifiers to String
+- Country code handling: Both ISO 3166-1 alpha-3 codes and full country names are preserved in `country_origin` and `country_export` fields
+- Missing column handling: Columns present in one dataset but not the other are filled with null values
+
+**Column Mappings:**
+- 2012-2019: `ty` → `year`, `tm` → `month`, `tq` → `quarter`
+- 2012-2019: `hscode` → `hs_code`, `goodsdescription` → `goods_description`
+- 2012-2019: `countryorigin_iso3` → `country_origin`, `countryexport_iso3` → `country_export`
+- 2012-2019: `p` → `unit_price`, `q` → `quantity`
+- 2012-2019: `dutypaid` → `duty`, `vatpaid` → `vat`, `vatbase` → `vat_base`
+- 2012-2019: `m_fob` → `fob_value`, `m_cif` → `cif_value`
+- 2012-2019: `dutiestaxes` → `duties_taxes_total`, `prefcode` → `preference_code`
+- 2012-2019: `finesandpenalties` → `fines_penalties`, `othertax` → `other_tax`
+
+### Parquet Aggregation
+
+#### Unified Dataset Generation
+
+The unified Parquet file (`combined.parquet`) was generated using Polars (>=0.20.0) with the following process:
+
+1. **Multi-source ingestion:**
+   - 2012-2019 data: Read from 8 CSV files
+   - 2020-2025 data: Read from yearly partitioned Parquet files with year/month metadata extracted from source Excel filenames
+
+2. **Schema unification:** All source data mapped to a common 37-column schema:
+   - Numeric fields standardized to `Float64` (prices, values, duties, taxes, quantities, masses)
+   - Temporal fields standardized to `Int32` (year, month, quarter)
+   - Text fields standardized to `String` (codes, descriptions, country identifiers)
+   - HS codes preserved as `String` to maintain leading zeros in tariff codes
+
+3. **Column mapping and renaming:**
+   - Legacy column names (e.g., `ty`, `dutypaid`, `vatpaid`) mapped to unified names (e.g., `year`, `duty`, `vat`)
+   - Snake_case naming convention applied consistently across all columns
+   - Missing columns in either source filled with null values
+
+4. **Data quality handling:**
+   - UTF-8 lossy encoding applied to handle invalid byte sequences
+   - Ragged line handling for inconsistent column counts in CSV sources
+   - Null value preservation for missing or incomplete data
+
+5. **Streaming aggregation:** Lazy evaluation and streaming operations used to process 65+ million rows without exceeding memory constraints
+
+6. **Compression:** Snappy compression applied to the unified file (4.92 GB total size)
+
+7. **Statistics:** Column statistics embedded in Parquet metadata to enable query optimization and predicate pushdown
+
+#### Yearly Parquet Generation
+
+The yearly Parquet files were generated with:
+- Schema normalization ensuring consistent data types across years
+- Snappy compression reducing storage requirements
+- Yearly partitioning for efficient year-specific queries
+
+## Additional Information
+
+### Citation Information
+
+**For the unified dataset (2012-2025):**
+
+Bureau of Customs of the Philippines. (2012-2025). Import Transaction Records. Combined and unified dataset.
+
+**For the original 2012-2019 dataset:**
+
+Abante, Ken. (2020). An Open Data Set of Twenty Million Import Transactions from the Bureau of Customs of the Philippines (2012-2019). doi:10.13140/RG.2.2.24053.73444.
+
+**Data Sources:**
+- 2012-2019: Abante, K. (2020) via ResearchGate
+- 2020-2025: Bureau of Customs of the Philippines OneDrive Repository (https://customsph-my.sharepoint.com/personal/delakrusj_customs_gov_ph/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fdelakrusj%5Fcustoms%5Fgov%5Fph%2FDocuments%2FImport%20Entries&ga=1)

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