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Upload dataset nigerian_transport_and_logistics_traffic_signal_timing

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README.md ADDED
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+
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+ ---
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+ license: gpl
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+ dataset_name: nigerian_transport_and_logistics_traffic_signal_timing
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+ pretty_name: Nigeria Transport & Logistics – Traffic Signal Timing
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+ size_categories: [10K<n<1M]
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+ task_categories: [time-series-forecasting, tabular-regression, tabular-classification, other]
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+ tags: [nigeria, transport, logistics, mobility, fleet, supply-chain]
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+ language: [en]
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+ created: 2025-10-12
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+ ---
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+
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+
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+ # Nigeria Transport & Logistics – Traffic Signal Timing
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+
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+ Intersection phases, cycle times, offsets, and optimization flags.
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+
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+ - **[category]** Infrastructure & Environment
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+ - **[rows]** ~100,000
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+ - **[formats]** CSV + Parquet (snappy)
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+ - **[geography]** Nigeria (major cities, corridors, ports, airports)
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+
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+ ## Schema
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+
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+ | column | dtype |
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+ |---|---|
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+ | intersection_id | object |
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+ | phase | object |
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+ | start_time | object |
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+ | green_sec | int64 |
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+ | yellow_sec | int64 |
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+ | red_sec | int64 |
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+ | cycle_time_sec | int64 |
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+ | offset_sec | int64 |
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+ | optimized | bool |
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+ | corridor_id | object |
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+
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+ ## Usage
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+
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+ ```python
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+ import pandas as pd
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+ df = pd.read_parquet('data/nigerian_transport_and_logistics_traffic_signal_timing/nigerian_transport_and_logistics_traffic_signal_timing.parquet')
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+ df.head()
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+ ```
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+
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+ ```python
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+ from datasets import load_dataset
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+ ds = load_dataset('electricsheepafrica/nigerian_transport_and_logistics_traffic_signal_timing')
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+ ds
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+ ```
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+
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+ ## Notes
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+
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+ - Nigeria-specific parameters (fleets, roads, traffic, fuel prices)
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+ - Time-of-day traffic effects and seasonal impacts where applicable
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+ - Physical plausibility checks embedded during generation
nigerian_transport_and_logistics_traffic_signal_timing.csv ADDED
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nigerian_transport_and_logistics_traffic_signal_timing.parquet ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:fec687b76be04c49fac9d7ca5653905c49577698578d0d31a24be19999f85768
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+ size 2348052