Upload dataset folder
Browse files- README.md +147 -0
- data/train-00000-of-00001.parquet +3 -0
- metadata/source_snapshot.json +58 -0
README.md
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| 1 |
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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-regression
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- time-series-forecasting
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multilinguality: monolingual
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size_categories:
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- 1K<n<10K
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tags:
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- tabular
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- csv
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- africa
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- libya
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- official-statistics
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- open-data
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-00000-of-00001.parquet
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pretty_name: "Libya - Private Sector | Africa (Libya official open data)"
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---
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# Libya - Private Sector | Africa (Libya official open data)
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3,079 rows - 1 Africa country - 1960-2025 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
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## TL;DR
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This dataset packages one official `CSV` resource from **Libya** 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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## About the source
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- **Source:** [Libya - Private Sector](https://data.humdata.org/dataset/world-bank-private-sector-indicators-for-libya)
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- **Publisher:** World Bank Group
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- **Resource:** [Private Sector Indicators for Libya](https://data.humdata.org/dataset/a68610e2-3815-40fd-9cb2-0c690f691617/resource/9963101b-8d1a-4133-84d0-66de0295b016/download/private-sector_lby.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:** `indicator_long`
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## Geographic coverage
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1 Africa country:
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| Country | Rows | First year | Last year | Name |
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|---------|-----:|-----------:|----------:|------|
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| `LBY` | 3,079 | 1960 | 2025 | `Libya` |
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## Indicators or Resource Contents
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- `libya-private-sector-0397f1c5` - Libya - Private Sector
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## Schema
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| Column | Type | Description | Example |
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|--------|------|-------------|---------|
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| `indicator_id` | `string` | Stable indicator identifier. | `libya-private-sector-0397f1c5` |
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| `indicator_name` | `string` | Human-readable indicator name. | `Libya - Private Sector` |
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| `country_iso3` | `string` | ISO3 country code. | `LBY` |
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| `country_name` | `string` | Country name. | `Libya` |
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| `year` | `Int64` | Observation year. | `2023` |
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| `value` | `float64` | Numeric observation value. | `24.2954061284096` |
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| `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` |
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| `dimension_country_name` | `string` | Source dimension. | `Libya` |
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| `dimension_country_iso3` | `string` | Source dimension. | `LBY` |
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| `dimension_indicator_name` | `string` | Source dimension. | `Trade in services (% of GDP)` |
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| `dimension_indicator_code` | `string` | Source dimension. | `BG.GSR.NFSV.GD.ZS` |
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| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `` |
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| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `` |
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| `source_period_label` | `string` | Human-readable period inferred from source resource metadata. | `` |
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| `source_provider` | `category` | Publishing organization. | `World Bank Group` |
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| `source_dataset` | `category` | Source package title. | `Libya - Private Sector` |
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| `source_resource` | `category` | Source resource title. | `Private Sector Indicators for Libya` |
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| `source_package_id` | `category` | CKAN package UUID. | `a68610e2-3815-40fd-9cb2-0c690f691617` |
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| `source_resource_id` | `category` | CKAN resource UUID. | `9963101b-8d1a-4133-84d0-66de0295b016` |
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| `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/a68610e2-3815-40fd-9cb2-0c690f691617/re` |
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| `license_id` | `category` | Source license identifier. | `cc-by` |
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| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-17T13:13:43Z` |
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("electricsheepafrica/africa-libya-libya-private-sector-5ef0aa58")
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df = ds["train"].to_pandas()
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print(df.head())
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```
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### Filter to one country
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```python
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sample_country = df[df["country_iso3"] == "LBY"]
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```
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### Work with indicators
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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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## Citation
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```bibtex
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@misc{electric_sheep_africa_africa_libya_libya_private_sector_5ef0aa58_2025,
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title = {Libya - Private Sector | Africa (Libya official open data)},
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author = {World Bank Group},
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year = {2025},
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url = {https://data.humdata.org/dataset/world-bank-private-sector-indicators-for-libya},
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publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
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howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-libya-libya-private-sector-5ef0aa58}}
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}
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```
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## License
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Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
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Original data (c) World Bank Group. 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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## About Electric Sheep
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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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Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
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---
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Provenance: ingested 2026-08-17 via the Electric Sheep pipeline. Source URL:
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https://data.humdata.org/dataset/a68610e2-3815-40fd-9cb2-0c690f691617/resource/9963101b-8d1a-4133-84d0-66de0295b016/download/private-sector_lby.csv
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data/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:77abaf978a1167b38c6ae6e1f51c065a90edafc66fb1bb324d1038c1aa4cb9d6
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size 44050
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metadata/source_snapshot.json
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{
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"columns": [
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"indicator_id",
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"indicator_name",
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"country_iso3",
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"country_name",
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"year",
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"value",
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"unit",
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"dimension_country_name",
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"dimension_country_iso3",
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"dimension_indicator_name",
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"dimension_indicator_code",
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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": "2026-08-17T13:34:50Z",
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"indicator_count": 1,
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"mode": "indicator_long",
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| 29 |
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"repo_id": "electricsheepafrica/africa-libya-libya-private-sector-5ef0aa58",
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"rows": 3079,
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"source": {
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| 32 |
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"api_base_url": "https://data.humdata.org/api/3/action",
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"country_iso3": "LBY",
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"country_name": "Libya",
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| 35 |
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"group_names": "lby",
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| 36 |
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"license_id": "cc-by",
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| 37 |
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"license_title": "Creative Commons Attribution International (CC BY)",
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| 38 |
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"license_url": "http://www.opendefinition.org/licenses/cc-by",
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| 39 |
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"organization_name": "world-bank-group",
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| 40 |
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"organization_title": "World Bank Group",
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| 41 |
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"package_id": "a68610e2-3815-40fd-9cb2-0c690f691617",
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"package_name": "world-bank-private-sector-indicators-for-libya",
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"package_notes": "Contains data from the World Bank's [data portal](http://data.worldbank.org/). There is also a [consolidated country dataset](https://data.humdata.org/dataset/world-bank-combined-indicators-for-libya) on HDX. Private markets drive economic growth, tapping initiative and investment to create productive jobs and raise incomes. Trade is also a driver of economic growth as it integrates developing countries into the world economy and generates benefits for their people. Data on the private sector and trade are from the World Bank Group's Private Participation in Infrastructure Project Database, Enterprise Surveys, and Doing Business Indicators, as well as from the International Monetary Fund's Balance of Payments database and International Financial Statistics, the UN Commission on Trade and Development, the World Trade Organization, and various other sources.",
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| 44 |
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"package_page_url": "https://data.humdata.org/dataset/world-bank-private-sector-indicators-for-libya",
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"package_title": "Libya - Private Sector",
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| 46 |
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"portal_url": "https://data.humdata.org",
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"resource_description": "csv containing Private Sector indicators Indicators: Agricultural raw materials exports, Agricultural raw materials imports, Commercial service exports, Commercial service imports, Computer, Domestic credit to private sector, Export unit value index, Export value index, Export volume index, Food exports, Food imports, Fuel exports, Fuel imports, High-technology exports, ICT goods exports, ICT goods imports, Import unit value index, Import value index, Import volume index, Insurance and financial services, International tourism, Lead time to export, Lead time to import, Logistics performance index, Manufactures exports, Manufactures imports, Medium and high-tech exports, Merchandise exports, Merchandise exports by the reporting economy, Merchandise exports to economies in the Arab World, Merchandise exports to high-income economies, Merchandise exports to low- and middle-income economies in East Asia & Pacific, Merchandise exports to low- and middle-income economies in Europe & Central Asia, Merchandise exports to low- and middle-income economies in Latin America & the Caribbean, Merchandise exports to low- and middle-income economies in Middle East & North Africa, Merchandise exports to low- and middle-income economies in South Asia, Merchandise exports to low- and middle-income economies in Sub-Saharan Africa, Merchandise exports to low- and middle-income economies outside region, Merchandise exports to low- and middle-income economies within region, Merchandise imports, Merchandise imports by the reporting economy, Merchandise imports from economies in the Arab World, Merchandise imports from high-income economies, Merchandise imports from low- and middle-income economies in East Asia & Pacific, Merchandise imports from low- and middle-income economies in Europe & Central Asia, Merchandise imports from low- and middle-income economies in Latin America & the Caribbean, Merchandise imports from low- and middle-income economies in Middle East & North Africa, Merchandise imports from low- and middle-income economies in South Asia, Merchandise imports from low- and middle-income economies in Sub-Saharan Africa, Merchandise imports from low- and middle-income economies outside region, Merchandise imports from low- and middle-income economies within region, Merchandise trade, Net barter terms of trade index, Ores and metals exports, Ores and metals imports, Tariff rate, Trade in services, Transport services, Travel services",
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| 48 |
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"resource_format": "CSV",
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| 49 |
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"resource_id": "9963101b-8d1a-4133-84d0-66de0295b016",
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| 50 |
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"resource_last_modified": "2026-07-17T00:31:08.931305",
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| 51 |
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"resource_name": "Private Sector Indicators for Libya",
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| 52 |
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"resource_position": "0",
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| 53 |
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"resource_url": "https://data.humdata.org/dataset/a68610e2-3815-40fd-9cb2-0c690f691617/resource/9963101b-8d1a-4133-84d0-66de0295b016/download/private-sector_lby.csv",
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| 54 |
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"tag_names": "economics,indicators"
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| 55 |
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},
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| 56 |
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"year_max": 2025,
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| 57 |
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"year_min": 1960
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| 58 |
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}
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