Add ML-ready official indicator dataset

README.md

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+---
+license: odbl
+language:
+- en
+task_categories:
+- tabular-classification
+- tabular-regression
+multilinguality: monolingual
+size_categories:
+- n<1K
+tags:
+- tabular
+- xlsx
+- africa
+- morocco
+- official-statistics
+- open-data
+pretty_name: "[Archive 2016] Statistiques hebdomadaires des Organismes de Placement Collectif en Valeurs Mobilières (OPCVM) pour l'année 2016 | Africa (Morocco official open data)"
+---
+
+# [Archive 2016] Statistiques hebdomadaires des Organismes de Placement Collectif en Valeurs Mobilières (OPCVM) pour l'année 2016 | Africa (Morocco official open data)
+
+42 rows - 1 Africa country - not-applicable - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+
+![rows](https://img.shields.io/badge/rows-42-blue)
+![countries](https://img.shields.io/badge/countries-1-green)
+![years](https://img.shields.io/badge/years-not-applicable-orange)
+![indicators](https://img.shields.io/badge/indicators-0-purple)
+![license](https://img.shields.io/badge/license-odbl-lightgrey)
+
+## TL;DR
+
+This dataset packages one official `XLSX` resource from **Morocco** 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:** [[Archive 2016] Statistiques hebdomadaires des Organismes de Placement Collectif en Valeurs Mobilières (OPCVM) pour l'année 2016](https://data.gov.ma/data/dataset/stat-hebdo-opcvm-2016)
+- **Publisher:** AMMC
+- **Resource:** [STAT_OPCVM_HEBDO_29012016.xlsx](https://data.gov.ma/data/fr/dataset/a6c0a987-3607-4a17-99a7-5a288edf2da8/resource/476ac382-f903-472b-b5d5-7f06e51394d1/download/stat_opcvm_hebdo_29012016.xlsx)
+- **Format:** `XLSX`
+- **License:** [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/)
+- **Packaging mode:** `tabular_resource`
+
+## Geographic coverage
+
+1 Africa country:
+
+| Country | Rows | First year | Last year | Name |
+|---------|-----:|-----------:|----------:|------|
+| `MAR` | 42 | n/a | n/a | `Morocco` |
+
+## Indicators or Resource Contents
+
+- This source file is packaged as a normalized tabular resource.
+
+## Schema
+
+| Column | Type | Description | Example |
+|--------|------|-------------|---------|
+| `source_record_id` | `string` | Stable row identifier for tabular resources. | `476ac382-f903-472b-b5d5-7f06e51394d1:francais:0` |
+| `country_iso3` | `string` | ISO3 country code. | `MAR` |
+| `country_name` | `string` | Country name. | `Morocco` |
+| `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `Français` |
+| `categorie` | `string` | Source column. | `Actions` |
+| `nombre_opcvm` | `float64` | Source column. | `88.0` |
+| `montant` | `string` | Source column. | `20355583373.3247` |
+| `structure` | `string` | Source column. | `6.39198364646035` |
+| `variation_hebdomadaire` | `float64` | Source column. | `0.15131633803229` |
+| `variation_mensuelle` | `float64` | Source column. | `-0.394622860914748` |
+| `variation_annuelle` | `float64` | Source column. | `-0.394622860914748` |
+| `column_8` | `float64` | Source column. | `` |
+| `column_9` | `string` | Source column. | `` |
+| `source_provider` | `string` | Publishing organization. | `AMMC` |
+| `source_dataset` | `string` | Source package title. | `[Archive 2016] Statistiques hebdomadaires des Organismes de Placement Co` |
+| `source_resource` | `string` | Source resource title. | `STAT_OPCVM_HEBDO_29012016.xlsx` |
+| `source_package_id` | `string` | CKAN package UUID. | `a6c0a987-3607-4a17-99a7-5a288edf2da8` |
+| `source_resource_id` | `string` | CKAN resource UUID. | `476ac382-f903-472b-b5d5-7f06e51394d1` |
+| `source_url` | `string` | Original source resource URL. | `https://data.gov.ma/data/fr/dataset/a6c0a987-3607-4a17-99a7-5a288edf2da8` |
+| `license_id` | `string` | Source license identifier. | `odc-odbl` |
+| `retrieved_at` | `string` | UTC retrieval timestamp. | `2026-07-16T21:31:48Z` |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("electricsheepafrica/africa-morocco-archive-2016-statistiques-hebdomadaires-des-organismes-de-0a9906d7")
+df = ds["train"].to_pandas()
+print(df.head())
+```
+
+### Filter to one country
+
+```python
+sample_country = df[df["country_iso3"] == "MAR"]
+```
+
+### 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_morocco_archive_2016_statistiques_hebdomadaires_des_organismes_de_0a9906d_2026,
+  title        = {[Archive 2016] Statistiques hebdomadaires des Organismes de Placement Collectif en Valeurs Mobilières (OPCVM) pour l'année 2016 | Africa (Morocco official open data)},
+  author       = {AMMC},
+  year         = {2026},
+  url          = {https://data.gov.ma/data/dataset/stat-hebdo-opcvm-2016},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-archive-2016-statistiques-hebdomadaires-des-organismes-de-0a9906d7}}
+}
+```
+
+## License
+
+Released under [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/).
+
+Original data (c) AMMC. 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 2026-07-16 via the Electric Sheep pipeline. Source URL:
+https://data.gov.ma/data/fr/dataset/a6c0a987-3607-4a17-99a7-5a288edf2da8/resource/476ac382-f903-472b-b5d5-7f06e51394d1/download/stat_opcvm_hebdo_29012016.xlsx

data/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3f5949a3903810466ef3411099a2a9013767d735070ff01d062b2ee599fbce0b
+size 17769

metadata/source_snapshot.json

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+{
+  "columns": [
+    "source_record_id",
+    "country_iso3",
+    "country_name",
+    "source_sheet",
+    "categorie",
+    "nombre_opcvm",
+    "montant",
+    "structure",
+    "variation_hebdomadaire",
+    "variation_mensuelle",
+    "variation_annuelle",
+    "column_8",
+    "column_9",
+    "source_provider",
+    "source_dataset",
+    "source_resource",
+    "source_package_id",
+    "source_resource_id",
+    "source_url",
+    "license_id",
+    "retrieved_at"
+  ],
+  "generated_at": "2026-07-16T21:56:41Z",
+  "indicator_count": 0,
+  "mode": "tabular_resource",
+  "repo_id": "electricsheepafrica/africa-morocco-archive-2016-statistiques-hebdomadaires-des-organismes-de-0a9906d7",
+  "rows": 42,
+  "source": {
+    "api_base_url": "https://data.gov.ma/data",
+    "country_iso3": "MAR",
+    "country_name": "Morocco",
+    "group_names": "finance",
+    "license_id": "odc-odbl",
+    "license_title": "Open Data Commons Open Database License (ODbL)",
+    "license_url": "https://opendefinition.org/licenses/odc-odbl",
+    "organization_id": "da9cc00c-75b7-469e-945e-e7e6fc09a2e2",
+    "organization_name": "ammc",
+    "organization_title": "AMMC",
+    "package_author": "",
+    "package_id": "a6c0a987-3607-4a17-99a7-5a288edf2da8",
+    "package_maintainer": "",
+    "package_metadata_created": "2024-11-19T11:21:14.404393",
+    "package_metadata_modified": "2025-01-16T08:15:51.236661",
+    "package_name": "stat-hebdo-opcvm-2016",
+    "package_notes": "Ce fichier présente les statistiques hebdomadaires (actif net par catégorie OPCVM, indices de performance, souscriptions et rachats par catégorie OPCVM, etc.) des Organismes de Placement Collectif en Valeurs Mobilières (OPCVM) pour l'année 2016",
+    "package_page_url": "https://data.gov.ma/data/dataset/stat-hebdo-opcvm-2016",
+    "package_private": "False",
+    "package_state": "active",
+    "package_title": "[Archive 2016] Statistiques hebdomadaires des Organismes de Placement Collectif en Valeurs Mobilières (OPCVM) pour l'année 2016",
+    "package_version": "",
+    "portal_url": "https://data.gov.ma/data",
+    "resource_created": "2024-12-13T09:02:25.396714",
+    "resource_datastore_active": "False",
+    "resource_description": "",
+    "resource_format": "XLSX",
+    "resource_hash": "",
+    "resource_id": "476ac382-f903-472b-b5d5-7f06e51394d1",
+    "resource_last_modified": "2024-12-13T09:02:25.343239",
+    "resource_mimetype": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+    "resource_name": "STAT_OPCVM_HEBDO_29012016.xlsx",
+    "resource_position": "32",
+    "resource_size": "209319",
+    "resource_state": "active",
+    "resource_url": "https://data.gov.ma/data/fr/dataset/a6c0a987-3607-4a17-99a7-5a288edf2da8/resource/476ac382-f903-472b-b5d5-7f06e51394d1/download/stat_opcvm_hebdo_29012016.xlsx",
+    "retrieved_at": "2026-07-16T17:56:59Z",
+    "tag_names": ""
+  },
+  "year_max": null,
+  "year_min": null
+}