Upload dataset nigerian_transport_and_logistics_blockchain_logistics

.gitattributes

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README.md

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+
+---
+license: gpl
+dataset_name: nigerian_transport_and_logistics_blockchain_logistics
+pretty_name: Nigeria Transport & Logistics – Blockchain Logistics Records
+size_categories: [10K<n<1M]
+task_categories: [time-series-forecasting, tabular-regression, tabular-classification, other]
+tags: [nigeria, transport, logistics, mobility, fleet, supply-chain]
+language: [en]
+created: 2025-10-12
+---
+
+
+    # Nigeria Transport & Logistics – Blockchain Logistics Records
+
+    On-chain logistics events with actors, custody, network, and validity.
+
+    - **[category]** Emerging & Advanced
+    - **[rows]** ~120,000
+    - **[formats]** CSV + Parquet (snappy)
+    - **[geography]** Nigeria (major cities, corridors, ports, airports)
+
+    ## Schema
+
+    | column | dtype |
+|---|---|
+| timestamp | object |
+| tx_hash | object |
+| shipment_id | object |
+| action | object |
+| actor_wallet | object |
+| chain | object |
+| custody | object |
+| valid | bool |
+| note | object |
+
+    ## Usage
+
+    ```python
+    import pandas as pd
+    df = pd.read_parquet('data/nigerian_transport_and_logistics_blockchain_logistics/nigerian_transport_and_logistics_blockchain_logistics.parquet')
+    df.head()
+    ```
+
+    ```python
+    from datasets import load_dataset
+    ds = load_dataset('electricsheepafrica/nigerian_transport_and_logistics_blockchain_logistics')
+    ds
+    ```
+
+    ## Notes
+
+    - Nigeria-specific parameters (fleets, roads, traffic, fuel prices)
+    - Time-of-day traffic effects and seasonal impacts where applicable
+    - Physical plausibility checks embedded during generation

nigerian_transport_and_logistics_blockchain_logistics.csv

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nigerian_transport_and_logistics_blockchain_logistics.parquet

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