Upload dataset folder
Browse files- README.md +144 -0
- data/train-00000-of-00001.parquet +3 -0
- metadata/source_snapshot.json +55 -0
README.md
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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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- xlsx
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- africa
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- burundi
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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: "Future Displacement Forecasts | Africa (Burundi official open data)"
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---
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# Future Displacement Forecasts | Africa (Burundi official open data)
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26 rows - 1 Africa country - 2025-2027 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
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## TL;DR
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This dataset packages one official `XLSX` resource from **Burundi** 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:** [Future Displacement Forecasts](https://data.humdata.org/dataset/drc-displacement-forecasts)
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- **Publisher:** Danish Refugee Council
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- **Resource:** [foresight-displacement-forecasts-june-2025.xlsx](https://data.humdata.org/dataset/dd000cd0-5757-484f-9df8-4aee6c7362c5/resource/edd79de5-cfc2-4464-b8d8-e5c6b2d87e82/download/foresight-displacement-forecasts-june-2025.xlsx)
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- **Format:** `XLSX`
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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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## 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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| `BDI` | 26 | 2025 | 2027 | `Burundi` |
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## Indicators or Resource Contents
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- This source file is packaged as a normalized tabular resource.
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## Schema
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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. | `edd79de5-cfc2-4464-b8d8-e5c6b2d87e82:sheet1:0` |
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| `country_iso3` | `category` | ISO3 country code. | `BDI` |
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| `country_name` | `category` | Country name. | `Burundi` |
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| `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `Sheet1` |
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| `country_code` | `string` | Source column. | `AFG` |
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| `forecast_25` | `float64` | Source column. | `11225088.15404684` |
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| `forecast_26` | `float64` | Source column. | `11463272.85903113` |
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| `forecast_27` | `float64` | Source column. | `11947802.4700684` |
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| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2025` |
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| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2027` |
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| `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2025-2027` |
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| `source_provider` | `category` | Publishing organization. | `Danish Refugee Council` |
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| `source_dataset` | `category` | Source package title. | `Future Displacement Forecasts` |
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| `source_resource` | `category` | Source resource title. | `foresight-displacement-forecasts-june-2025.xlsx` |
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| `source_package_id` | `category` | CKAN package UUID. | `dd000cd0-5757-484f-9df8-4aee6c7362c5` |
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| `source_resource_id` | `category` | CKAN resource UUID. | `edd79de5-cfc2-4464-b8d8-e5c6b2d87e82` |
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| `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/dd000cd0-5757-484f-9df8-4aee6c7362c5/re` |
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| `license_id` | `category` | Source license identifier. | `cc-by` |
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| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-15T08:23:53Z` |
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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-burundi-future-displacement-forecasts-5e014391")
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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"] == "BDI"]
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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_burundi_future_displacement_forecasts_5e014391_2027,
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title = {Future Displacement Forecasts | Africa (Burundi official open data)},
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author = {Danish Refugee Council},
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year = {2027},
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url = {https://data.humdata.org/dataset/drc-displacement-forecasts},
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publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
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howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-burundi-future-displacement-forecasts-5e014391}}
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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) Danish Refugee Council. 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 2026-08-15 via the Electric Sheep pipeline. Source URL:
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https://data.humdata.org/dataset/dd000cd0-5757-484f-9df8-4aee6c7362c5/resource/edd79de5-cfc2-4464-b8d8-e5c6b2d87e82/download/foresight-displacement-forecasts-june-2025.xlsx
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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 sha256:868e89612c1186d0da56e4fbe05e47c967acad1b2165c1c85752db39f779a4c7
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size 16133
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metadata/source_snapshot.json
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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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"source_sheet",
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| 7 |
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"country_code",
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| 8 |
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"forecast_25",
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"forecast_26",
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"forecast_27",
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"source_period_start_year",
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| 12 |
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"source_period_end_year",
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| 13 |
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"source_period_label",
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| 14 |
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"source_provider",
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| 15 |
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"source_dataset",
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| 16 |
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"source_resource",
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| 17 |
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"source_package_id",
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| 18 |
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"source_resource_id",
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| 19 |
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"source_url",
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| 20 |
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"license_id",
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| 21 |
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"retrieved_at"
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],
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"generated_at": "2026-08-15T08:43:54Z",
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"indicator_count": 0,
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"mode": "tabular_resource",
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| 26 |
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"repo_id": "electricsheepafrica/africa-burundi-future-displacement-forecasts-5e014391",
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"rows": 26,
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"source": {
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| 29 |
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"api_base_url": "https://data.humdata.org/api/3/action",
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| 30 |
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"country_iso3": "BDI",
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| 31 |
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"country_name": "Burundi",
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| 32 |
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"group_names": "afg,bfa,bdi,cmr,caf,tcd,col,cod,slv,eth,gtm,hnd,irq,lby,mli,moz,mmr,ner,nga,som,ssd,sdn,syr,ukr,ven,yem",
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| 33 |
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"license_id": "cc-by",
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| 34 |
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"license_title": "Creative Commons Attribution International (CC BY)",
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| 35 |
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"license_url": "http://www.opendefinition.org/licenses/cc-by",
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| 36 |
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"organization_name": "danish-refugee-council",
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| 37 |
+
"organization_title": "Danish Refugee Council",
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| 38 |
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"package_id": "dd000cd0-5757-484f-9df8-4aee6c7362c5",
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| 39 |
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"package_name": "drc-displacement-forecasts",
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"package_notes": "Forecasts of forced displacement (IDPs, asylum seekers and refugees) one to three years into the future based on machine learning model.",
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"package_page_url": "https://data.humdata.org/dataset/drc-displacement-forecasts",
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| 42 |
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"package_title": "Future Displacement Forecasts",
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"portal_url": "https://data.humdata.org",
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| 44 |
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"resource_description": "The current displacement forecasts for 2025-2027",
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| 45 |
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"resource_format": "XLSX",
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| 46 |
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"resource_id": "edd79de5-cfc2-4464-b8d8-e5c6b2d87e82",
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| 47 |
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"resource_last_modified": "2025-08-07T12:31:24.393605",
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| 48 |
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"resource_name": "foresight-displacement-forecasts-june-2025.xlsx",
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| 49 |
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"resource_position": "1",
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| 50 |
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"resource_url": "https://data.humdata.org/dataset/dd000cd0-5757-484f-9df8-4aee6c7362c5/resource/edd79de5-cfc2-4464-b8d8-e5c6b2d87e82/download/foresight-displacement-forecasts-june-2025.xlsx",
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| 51 |
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"tag_names": "asylum seekers,displacement,forecasting,internally displaced persons-idp,refugees"
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| 52 |
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},
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| 53 |
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"year_max": 2027,
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| 54 |
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"year_min": 2025
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| 55 |
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}
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