Datasets:
Add dataset README with schema, corridors, and citation
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README.md
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---
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license:
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---
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license: cc-by-4.0
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task_categories:
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- tabular-regression
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- time-series-forecasting
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tags:
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- finance
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- remittance
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- exchange-rates
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- money-transfer
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- crypto
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- fiat
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- open-data
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language:
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- en
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pretty_name: Coinnect Remittance Rates
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size_categories:
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- 10K<n<100K
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---
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# Coinnect Remittance Rates
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Daily snapshots of the cheapest money transfer routes across 22+ crypto exchanges and 19 remittance providers.
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## Description
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Every 3 minutes, Coinnect captures rate snapshots for key international money transfer corridors. This dataset contains the daily aggregated data — best route, cost percentage, recipient amount, and provider path for each corridor.
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## Data Format
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Each daily CSV file (`data/rates-YYYY-MM-DD.csv`) contains:
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| Column | Type | Description |
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|--------|------|-------------|
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| `captured_at_utc` | datetime | When the snapshot was captured |
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| `from_currency` | string | Source currency (e.g., USD, EUR, GBP) |
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| `to_currency` | string | Destination currency (e.g., MXN, NGN, PHP) |
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| `amount` | float | Amount in source currency |
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| `best_cost_pct` | float | Total cost as percentage (fees + spread) |
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| `best_time_min` | integer | Estimated transfer time in minutes |
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| `they_receive` | float | Amount recipient gets in destination currency |
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| `best_via` | string | Provider path (e.g., "Binance", "Wise", "Kraken+Yellow Card") |
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## Tracked Corridors
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USD→MXN, USD→BRL, USD→ARS, USD→NGN, USD→KES, USD→GHS, USD→PHP, USD→INR, USD→IDR, BTC→USD, BTC→MXN, BTC→NGN, ETH→USD, USDC→MXN, USDC→NGN, MXN→USD, BRL→USD, NGN→USD
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## Source
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Data is collected by [Coinnect](https://coinnect.bot) — a free, open-source money routing comparison tool.
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- **Website:** [coinnect.bot](https://coinnect.bot)
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- **GitHub:** [coinnect-dev/coinnect](https://github.com/coinnect-dev/coinnect)
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- **API:** `GET https://coinnect.bot/v1/snapshot/daily?date=YYYY-MM-DD`
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- **License:** CC-BY 4.0
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## Update Frequency
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Daily at 00:00 UTC. Each file contains ~20,000-30,000 rows (snapshots every 3 minutes × 18 corridors).
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## Use Cases
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- Track remittance cost trends over time
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- Compare crypto vs. fiat transfer routes
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- Train ML models for exchange rate prediction
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- Academic research on financial inclusion (SDG 10.c)
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- Validate provider fee claims
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## Citation
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```bibtex
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@dataset{coinnect_rates_2026,
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title={Coinnect Remittance Rates},
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author={Coinnect},
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year={2026},
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url={https://huggingface.co/datasets/coinnect-dev/coinnect-rates},
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license={CC-BY-4.0}
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}
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```
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