Upload dataset folder

README.md

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+---
+license: cc-by-4.0
+language:
+- en
+task_categories:
+- tabular-regression
+- time-series-forecasting
+multilinguality: monolingual
+size_categories:
+- 100K<n<1M
+tags:
+- tabular
+- csv
+- africa
+- mali
+- official-statistics
+- open-data
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-00000-of-00001.parquet
+pretty_name: "Mali: Rainfall Indicators at Subnational Level | Africa (Mali official open data)"
+---
+
+# Mali: Rainfall Indicators at Subnational Level | Africa (Mali official open data)
+
+116,820 rows - 1 Africa country - 2022-2026 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+
+![rows](https://img.shields.io/badge/rows-116820-blue)
+![countries](https://img.shields.io/badge/countries-1-green)
+![years](https://img.shields.io/badge/years-2022-2026-orange)
+![indicators](https://img.shields.io/badge/indicators-12-purple)
+![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)
+
+## TL;DR
+
+This dataset packages one official `CSV` resource from **Mali** as
+ML-ready Parquet. The source file is the provenance boundary; all usable
+indicators or tabular columns from the resource stay together in this repo.
+
+## About the source
+
+- **Source:** [Mali: Rainfall Indicators at Subnational Level](https://data.humdata.org/dataset/mli-rainfall-subnational)
+- **Publisher:** WFP - World Food Programme
+- **Resource:** [mli-rainfall-subnat-5ytd.csv](https://data.humdata.org/dataset/44da9888-81dc-4b9a-b0d9-1d4c2e515318/resource/34f77620-8da9-4825-9b9f-2b298feb5411/download/mli-rainfall-subnat-5ytd.csv)
+- **Format:** `CSV`
+- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
+- **Packaging mode:** `indicator_long`
+
+## Geographic coverage
+
+1 Africa country:
+
+| Country | Rows | First year | Last year | Name |
+|---------|-----:|-----------:|----------:|------|
+| `MLI` | 116,820 | 2022 | 2026 | `Mali` |
+
+## Indicators or Resource Contents
+
+- `mali-rainfall-indicators-at-subnational-level-adm-level-ec0d9a5c` - Mali: Rainfall Indicators at Subnational Level - adm level
+- `mali-rainfall-indicators-at-subnational-level-adm-id-6ffebd9b` - Mali: Rainfall Indicators at Subnational Level - adm id
+- `mali-rainfall-indicators-at-subnational-level-n-pixels-8719106d` - Mali: Rainfall Indicators at Subnational Level - n pixels
+- `mali-rainfall-indicators-at-subnational-level-rfh-0bf09c62` - Mali: Rainfall Indicators at Subnational Level - rfh
+- `mali-rainfall-indicators-at-subnational-level-rfh-avg-42233e54` - Mali: Rainfall Indicators at Subnational Level - rfh avg
+- `mali-rainfall-indicators-at-subnational-level-r1h-c0c08694` - Mali: Rainfall Indicators at Subnational Level - r1h
+- `mali-rainfall-indicators-at-subnational-level-r1h-avg-383f91fa` - Mali: Rainfall Indicators at Subnational Level - r1h avg
+- `mali-rainfall-indicators-at-subnational-level-r3h-153b79c8` - Mali: Rainfall Indicators at Subnational Level - r3h
+- `mali-rainfall-indicators-at-subnational-level-r3h-avg-b0095dfc` - Mali: Rainfall Indicators at Subnational Level - r3h avg
+- `mali-rainfall-indicators-at-subnational-level-rfq-1f8db158` - Mali: Rainfall Indicators at Subnational Level - rfq
+- `mali-rainfall-indicators-at-subnational-level-r1q-d83f27d1` - Mali: Rainfall Indicators at Subnational Level - r1q
+- `mali-rainfall-indicators-at-subnational-level-r3q-500f7bfb` - Mali: Rainfall Indicators at Subnational Level - r3q
+
+## Schema
+
+| Column | Type | Description | Example |
+|--------|------|-------------|---------|
+| `indicator_id` | `string` | Stable indicator identifier. | `mali-rainfall-indicators-at-subnational-level-adm-level-ec0d9a5c` |
+| `indicator_name` | `string` | Human-readable indicator name. | `Mali: Rainfall Indicators at Subnational Level - adm level` |
+| `country_iso3` | `string` | ISO3 country code. | `MLI` |
+| `country_name` | `string` | Country name. | `Mali` |
+| `year` | `Int64` | Observation year. | `2022` |
+| `value` | `float64` | Numeric observation value. | `1.0` |
+| `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` |
+| `dimension_pcode` | `string` | Source dimension. | `ML09` |
+| `dimension_version` | `string` | Source dimension. | `final` |
+| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `` |
+| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `` |
+| `source_period_label` | `string` | Human-readable period inferred from source resource metadata. | `` |
+| `source_provider` | `category` | Publishing organization. | `WFP - World Food Programme` |
+| `source_dataset` | `category` | Source package title. | `Mali: Rainfall Indicators at Subnational Level` |
+| `source_resource` | `category` | Source resource title. | `mli-rainfall-subnat-5ytd.csv` |
+| `source_package_id` | `category` | CKAN package UUID. | `44da9888-81dc-4b9a-b0d9-1d4c2e515318` |
+| `source_resource_id` | `category` | CKAN resource UUID. | `34f77620-8da9-4825-9b9f-2b298feb5411` |
+| `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/44da9888-81dc-4b9a-b0d9-1d4c2e515318/re` |
+| `license_id` | `category` | Source license identifier. | `cc-by` |
+| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-12T23:12:09Z` |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("electricsheepafrica/africa-mali-mali-rainfall-indicators-at-subnational-level-56d54e6c")
+df = ds["train"].to_pandas()
+print(df.head())
+```
+
+### Filter to one country
+
+```python
+sample_country = df[df["country_iso3"] == "MLI"]
+```
+
+### Work with indicators
+
+```python
+if "indicator_id" in df.columns:
+    print(df["indicator_id"].value_counts().head())
+    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
+```
+
+## Citation
+
+```bibtex
+@misc{electric_sheep_africa_africa_mali_mali_rainfall_indicators_at_subnational_level_56d54e6c_2026,
+  title        = {Mali: Rainfall Indicators at Subnational Level | Africa (Mali official open data)},
+  author       = {WFP - World Food Programme},
+  year         = {2026},
+  url          = {https://data.humdata.org/dataset/mli-rainfall-subnational},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mali-mali-rainfall-indicators-at-subnational-level-56d54e6c}}
+}
+```
+
+## License
+
+Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
+
+Original data (c) WFP - World Food Programme. When using this dataset, please cite both the
+original source above and the Electric Sheep Africa repackaging.
+
+## About Electric Sheep
+
+Electric Sheep Africa is part of the Electric Sheep mission: a unified,
+ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
+open sources, normalize the schemas, package as Parquet, and publish with
+consistent dataset cards so researchers and developers can use `load_dataset()`
+to start working in seconds.
+
+Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
+
+---
+
+Provenance: ingested 2026-08-13 via the Electric Sheep pipeline. Source URL:
+https://data.humdata.org/dataset/44da9888-81dc-4b9a-b0d9-1d4c2e515318/resource/34f77620-8da9-4825-9b9f-2b298feb5411/download/mli-rainfall-subnat-5ytd.csv

data/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d2a5349df850862b16108a137b9643b32083288fd47e1bc7b2ef70ad31a9025d
+size 493328

metadata/source_snapshot.json

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+{
+  "columns": [
+    "indicator_id",
+    "indicator_name",
+    "country_iso3",
+    "country_name",
+    "year",
+    "value",
+    "unit",
+    "dimension_pcode",
+    "dimension_version",
+    "source_period_start_year",
+    "source_period_end_year",
+    "source_period_label",
+    "source_provider",
+    "source_dataset",
+    "source_resource",
+    "source_package_id",
+    "source_resource_id",
+    "source_url",
+    "license_id",
+    "retrieved_at"
+  ],
+  "generated_at": "2026-08-12T23:44:26Z",
+  "indicator_count": 12,
+  "mode": "indicator_long",
+  "repo_id": "electricsheepafrica/africa-mali-mali-rainfall-indicators-at-subnational-level-56d54e6c",
+  "rows": 116820,
+  "source": {
+    "api_base_url": "https://data.humdata.org/api/3/action",
+    "country_iso3": "MLI",
+    "country_name": "Mali",
+    "group_names": "mli",
+    "license_id": "cc-by",
+    "license_title": "Creative Commons Attribution International (CC BY)",
+    "license_url": "http://www.opendefinition.org/licenses/cc-by",
+    "organization_name": "wfp",
+    "organization_title": "WFP - World Food Programme",
+    "package_id": "44da9888-81dc-4b9a-b0d9-1d4c2e515318",
+    "package_name": "mli-rainfall-subnational",
+    "package_notes": "This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): - 10 day rainfall [mm] (`rfh`) - rainfall 1-month rolling aggregation [mm] (`r1h`) - rainfall 3-month rolling aggregation [mm] (`r3h`) - rainfall long term average [mm] (`rfh_avg`) - rainfall 1-month rolling aggregation long term average [mm] (`r1h_avg`) - rainfall 3-month rolling aggregation long term average [mm] (`r3h_avg`) - rainfall anomaly [%] (`rfq`) - rainfall 1-month anomaly [%] (`r1q`) - rainfall 3-month anomaly [%] (`r3q`) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the `n_pixels` column. Finally, the `type` column indicates if the value is based on a forecast, a preliminary or a final product. Forecasts are issued on the 6th, 16th, and 26th of each month for the upcoming 10-day period (dekad), then updated with improved versions on the 1st, 11th, and 21st. Preliminary observations replace the previous dekad’s forecast on the 3rd, 13th, and 23rd, and are later replaced by final observations—published mid-month (13th or 23rd)—covering all three dekads of the prior month. Please find a summary below: Publication Day: Forecast type, Covers (Dekad) - 1st: Updated forecast, 1–10 of the same month - 6th: Initial forecast, 11–20 of the same month - 11th: Updated forecast, 1–10 of the same month - 16th: Initial forecast, 21–end of the same month - 21st: Updated forecast, 11–20 of the same month - 26th: Initial forecast, 1–10 of the following month For more on CHIRPS-GEFS forecasts, see: https://www.chc.ucsb.edu/data/chirps-gefs For further details, please see the methodology section.",
+    "package_page_url": "https://data.humdata.org/dataset/mli-rainfall-subnational",
+    "package_title": "Mali: Rainfall Indicators at Subnational Level",
+    "portal_url": "https://data.humdata.org",
+    "resource_description": "This resource contains a subset of the full timeseries covering the past five years to date. File id: 20260803T115535427164_56531410",
+    "resource_format": "CSV",
+    "resource_id": "34f77620-8da9-4825-9b9f-2b298feb5411",
+    "resource_last_modified": "2026-08-03T11:55:54.914438",
+    "resource_name": "mli-rainfall-subnat-5ytd.csv",
+    "resource_position": "1",
+    "resource_url": "https://data.humdata.org/dataset/44da9888-81dc-4b9a-b0d9-1d4c2e515318/resource/34f77620-8da9-4825-9b9f-2b298feb5411/download/mli-rainfall-subnat-5ytd.csv",
+    "tag_names": "climate-weather,environment"
+  },
+  "year_max": 2026,
+  "year_min": 2022
+}