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Add ML-ready official indicator dataset

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README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ language:
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+ - en
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+ task_categories:
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+ - tabular-classification
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+ - tabular-regression
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+ multilinguality: monolingual
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+ size_categories:
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+ - n<1K
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+ tags:
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+ - tabular
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+ - csv
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+ - africa
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+ - tunisia
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+ - official-statistics
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+ - open-data
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+ pretty_name: "Répartition régionale des pistes synthétiques en 2018 | Africa (Tunisia official open data)"
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+ ---
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+
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+ # Répartition régionale des pistes synthétiques en 2018 | Africa (Tunisia official open data)
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+
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+ 15 rows - 1 Africa country - 2018 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
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+
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+ ![rows](https://img.shields.io/badge/rows-15-blue)
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+ ![countries](https://img.shields.io/badge/countries-1-green)
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+ ![years](https://img.shields.io/badge/years-2018-orange)
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+ ![indicators](https://img.shields.io/badge/indicators-0-purple)
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+ ![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)
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+
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+ ## TL;DR
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+
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+ This dataset packages one official `CSV` resource from **Tunisia** as
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+ ML-ready Parquet. The source file is the provenance boundary; all usable
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+ indicators or tabular columns from the resource stay together in this repo.
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+
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+ ## About the source
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+
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+ - **Source:** [Répartition régionale des pistes synthétiques en 2018](https://catalog.data.gov.tn/dataset/repartition-regionale-des-pistes-synthetiques-en-2018)
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+ - **Publisher:** Ministère de la Jeunesse et des Sports
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+ - **Resource:** [Répartition régionale des pistes synthétiques en 2018](https://catalog.data.gov.tn/dataset/207e6023-f66a-40da-b726-c040223c0d3e/resource/9ffcc3aa-6b96-4a63-8992-1f391b9c13e2/download/repartition_regionale_des_pistes_synthetiques.csv)
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+ - **Format:** `CSV`
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+ - **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
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+ - **Packaging mode:** `tabular_resource`
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+
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+ ## Geographic coverage
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+
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+ 1 Africa country:
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+
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+ | Country | Rows | First year | Last year | Name |
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+ |---------|-----:|-----------:|----------:|------|
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+ | `TUN` | 15 | 2018 | 2018 | `Tunisia` |
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+
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+ ## Indicators or Resource Contents
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+
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+ - This source file is packaged as a normalized tabular resource.
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+
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+ ## Schema
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+
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+ | Column | Type | Description | Example |
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+ |--------|------|-------------|---------|
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+ | `source_record_id` | `string` | Stable row identifier for tabular resources. | `9ffcc3aa-6b96-4a63-8992-1f391b9c13e2:0` |
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+ | `country_iso3` | `string` | ISO3 country code. | `TUN` |
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+ | `country_name` | `string` | Country name. | `Tunisia` |
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+ | `year` | `Int64` | Observation year. | `2018` |
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+ | `gouvernorat_nb_localisation_annee_de_creation` | `string` | Source column. | `Ben Arous;4;"Cit‚ Olympique RadŠs";2001` |
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+ | `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2018` |
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+ | `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2018` |
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+ | `source_period_label` | `string` | Human-readable period inferred from source resource metadata. | `2018` |
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+ | `source_provider` | `string` | Publishing organization. | `Ministère de la Jeunesse et des Sports` |
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+ | `source_dataset` | `string` | Source package title. | `Répartition régionale des pistes synthétiques en 2018` |
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+ | `source_resource` | `string` | Source resource title. | `Répartition régionale des pistes synthétiques en 2018` |
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+ | `source_package_id` | `string` | CKAN package UUID. | `207e6023-f66a-40da-b726-c040223c0d3e` |
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+ | `source_resource_id` | `string` | CKAN resource UUID. | `9ffcc3aa-6b96-4a63-8992-1f391b9c13e2` |
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+ | `source_url` | `string` | Original source resource URL. | `https://catalog.data.gov.tn/dataset/207e6023-f66a-40da-b726-c040223c0d3e` |
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+ | `license_id` | `string` | Source license identifier. | `cc-by` |
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+ | `retrieved_at` | `string` | UTC retrieval timestamp. | `2026-07-18T23:08:36Z` |
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("electricsheepafrica/africa-tunisia-repartition-regionale-des-pistes-synthetiques-en-2018-140b6cf8")
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+ df = ds["train"].to_pandas()
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+ print(df.head())
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+ ```
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+
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+ ### Filter to one country
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+
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+ ```python
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+ sample_country = df[df["country_iso3"] == "TUN"]
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+ ```
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+
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+ ### Work with indicators
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+
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+ ```python
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+ if "indicator_id" in df.columns:
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+ print(df["indicator_id"].value_counts().head())
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+ sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
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+ ```
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{electric_sheep_africa_africa_tunisia_repartition_regionale_des_pistes_synthetiques_en_2018_140b6cf8_2018,
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+ title = {Répartition régionale des pistes synthétiques en 2018 | Africa (Tunisia official open data)},
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+ author = {Ministère de la Jeunesse et des Sports},
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+ year = {2018},
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+ url = {https://catalog.data.gov.tn/dataset/repartition-regionale-des-pistes-synthetiques-en-2018},
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+ publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
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+ howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-tunisia-repartition-regionale-des-pistes-synthetiques-en-2018-140b6cf8}}
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+ }
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+ ```
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+
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+ ## License
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+
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+ Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
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+
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+ Original data (c) Ministère de la Jeunesse et des Sports. When using this dataset, please cite both the
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+ original source above and the Electric Sheep Africa repackaging.
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+
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+ ## About Electric Sheep
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+
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+ Electric Sheep Africa is part of the Electric Sheep mission: a unified,
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+ ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
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+ open sources, normalize the schemas, package as Parquet, and publish with
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+ consistent dataset cards so researchers and developers can use `load_dataset()`
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+ to start working in seconds.
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+
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+ Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
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+
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+ ---
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+
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+ Provenance: ingested 2026-07-19 via the Electric Sheep pipeline. Source URL:
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+ https://catalog.data.gov.tn/dataset/207e6023-f66a-40da-b726-c040223c0d3e/resource/9ffcc3aa-6b96-4a63-8992-1f391b9c13e2/download/repartition_regionale_des_pistes_synthetiques.csv
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metadata/source_snapshot.json ADDED
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+ {
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+ "columns": [
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+ "source_record_id",
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+ "country_iso3",
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+ "country_name",
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+ "year",
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+ "gouvernorat_nb_localisation_annee_de_creation",
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+ "source_period_start_year",
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+ "source_period_end_year",
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+ "source_period_label",
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+ "source_provider",
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+ "source_dataset",
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+ "source_resource",
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+ "source_package_id",
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+ "source_resource_id",
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+ "source_url",
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+ "license_id",
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+ "retrieved_at"
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+ ],
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+ "generated_at": "2026-07-19T00:29:52Z",
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+ "indicator_count": 0,
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+ "mode": "tabular_resource",
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+ "repo_id": "electricsheepafrica/africa-tunisia-repartition-regionale-des-pistes-synthetiques-en-2018-140b6cf8",
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+ "rows": 15,
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+ "source": {
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+ "api_base_url": "https://catalog.data.gov.tn",
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+ "country_iso3": "TUN",
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+ "country_name": "Tunisia",
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+ "group_names": "jeunesse-et-sport",
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+ "license_id": "cc-by",
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+ "license_title": "cc-by",
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+ "license_url": "",
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+ "organization_name": "ministere-de-la-jeunesse-et-des-sports",
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+ "organization_title": "Ministère de la Jeunesse et des Sports",
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+ "package_metadata_created": "2023-03-07T10:22:31.624898",
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+ "package_metadata_modified": "2023-03-08T08:21:56.328111",
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+ "package_name": "repartition-regionale-des-pistes-synthetiques-en-2018",
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+ "package_notes": "Répartition régionale des pistes synthétiques en 2018",
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+ "resource_datastore_active": "True",
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+ "resource_description": "Répartition régionale des pistes synthétiques en 2018",
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+ "resource_id": "9ffcc3aa-6b96-4a63-8992-1f391b9c13e2",
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+ }