Upload dataset folder
Browse files- README.md +150 -0
- data/train-00000-of-00001.parquet +3 -0
- metadata/source_snapshot.json +60 -0
README.md
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| 1 |
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---
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license: cc-by-sa-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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- congo
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- official-statistics
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- open-data
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- ict
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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: "Congo - VIEWS conflict forecasts | Africa (Congo official open data)"
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---
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# Congo - VIEWS conflict forecasts | Africa (Congo official open data)
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36 rows - 1 Africa country - 2026-2027 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
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## TL;DR
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This dataset packages one official `CSV` resource from **Congo** 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:** [Congo - VIEWS conflict forecasts](https://data.humdata.org/dataset/cog-views-conflict-forecasts)
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- **Publisher:** Violence & Impacts Early-Warning System
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- **Resource:** [cog-views-conflict-forecasts-country-month.csv](https://data.humdata.org/dataset/a2229464-f870-4ecd-b145-257f984d4202/resource/2328ae80-1a6a-4520-aafb-79fb4e0cd34e/download/cog-views-conflict-forecasts-country-month.csv)
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- **Format:** `CSV`
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- **License:** [CC BY-SA](https://creativecommons.org/licenses/by-sa/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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| `COG` | 36 | 2026 | 2027 | `Congo` |
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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. | `2328ae80-1a6a-4520-aafb-79fb4e0cd34e:0` |
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| `country_iso3` | `category` | ISO3 country code. | `COG` |
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| `country_name` | `category` | Country name. | `Congo` |
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| `country_id` | `int64` | Source column. | `166` |
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| `month_id` | `int64` | Source column. | `559` |
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| `name` | `string` | Source column. | `Congo` |
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| `gwcode` | `int64` | Source column. | `484` |
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| 75 |
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| `isoab` | `string` | Source column. | `COG` |
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| `year` | `int64` | Observation year. | `2026` |
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| 77 |
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| `month` | `int64` | Source column. | `7` |
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| 78 |
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| `main_mean` | `float64` | Source column. | `0.0202` |
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| `main_dich` | `float64` | Source column. | `0.0` |
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| 80 |
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| `main_mean_ln` | `float64` | Source column. | `0.02` |
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| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2026` |
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| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2026` |
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| `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2026` |
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| `source_provider` | `category` | Publishing organization. | `Violence & Impacts Early-Warning System` |
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| `source_dataset` | `category` | Source package title. | `Congo - VIEWS conflict forecasts` |
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| `source_resource` | `category` | Source resource title. | `cog-views-conflict-forecasts-country-month.csv` |
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| `source_package_id` | `category` | CKAN package UUID. | `a2229464-f870-4ecd-b145-257f984d4202` |
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| `source_resource_id` | `category` | CKAN resource UUID. | `2328ae80-1a6a-4520-aafb-79fb4e0cd34e` |
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| `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/a2229464-f870-4ecd-b145-257f984d4202/re` |
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| `license_id` | `category` | Source license identifier. | `cc-by-sa` |
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| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-16T12:36:20Z` |
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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-congo-congo-views-conflict-forecasts-2f9287b5")
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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"] == "COG"]
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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_congo_congo_views_conflict_forecasts_2f9287b5_2027,
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title = {Congo - VIEWS conflict forecasts | Africa (Congo official open data)},
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author = {Violence & Impacts Early-Warning System},
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year = {2027},
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url = {https://data.humdata.org/dataset/cog-views-conflict-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-congo-congo-views-conflict-forecasts-2f9287b5}}
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}
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```
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## License
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Released under [CC BY-SA](https://creativecommons.org/licenses/by-sa/4.0/).
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Original data (c) Violence & Impacts Early-Warning System. 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 2026-08-16 via the Electric Sheep pipeline. Source URL:
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https://data.humdata.org/dataset/a2229464-f870-4ecd-b145-257f984d4202/resource/2328ae80-1a6a-4520-aafb-79fb4e0cd34e/download/cog-views-conflict-forecasts-country-month.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 sha256:71b80ad36372f47ccc49d8b3d0b2d4ca18f92904e3faa2e9f4d50dd0ff337af1
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size 18905
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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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| 4 |
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"country_iso3",
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| 5 |
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"country_name",
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| 6 |
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"country_id",
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| 7 |
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"month_id",
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"name",
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| 9 |
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"gwcode",
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| 10 |
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"isoab",
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| 11 |
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"year",
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| 12 |
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"month",
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| 13 |
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"main_mean",
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| 14 |
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"main_dich",
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| 15 |
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"main_mean_ln",
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| 16 |
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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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| 19 |
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"source_provider",
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| 20 |
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"source_dataset",
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| 21 |
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"source_resource",
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| 22 |
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"source_package_id",
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| 23 |
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"source_resource_id",
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| 24 |
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"source_url",
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| 25 |
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"license_id",
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| 26 |
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"retrieved_at"
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| 27 |
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],
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| 28 |
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"generated_at": "2026-08-16T12:53:10Z",
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| 29 |
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"indicator_count": 0,
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| 30 |
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"mode": "tabular_resource",
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| 31 |
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"repo_id": "electricsheepafrica/africa-congo-congo-views-conflict-forecasts-2f9287b5",
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| 32 |
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"rows": 36,
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| 33 |
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"source": {
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| 34 |
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"api_base_url": "https://data.humdata.org/api/3/action",
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| 35 |
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"country_iso3": "COG",
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| 36 |
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"country_name": "Congo",
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| 37 |
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"group_names": "cog",
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| 38 |
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"license_id": "cc-by-sa",
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| 39 |
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"license_title": "Creative Commons Attribution Share-Alike (CC BY-SA)",
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| 40 |
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"license_url": "http://www.opendefinition.org/licenses/cc-by-sa",
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| 41 |
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"organization_name": "views",
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| 42 |
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"organization_title": "Violence & Impacts Early-Warning System",
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| 43 |
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"package_id": "a2229464-f870-4ecd-b145-257f984d4202",
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| 44 |
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"package_name": "cog-views-conflict-forecasts",
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| 45 |
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"package_notes": "The Violence & Impacts Early-Warning System (VIEWS) is an award-winning conflict prediction system that generates monthly forecasts for violent conflicts across the world up to three years in advance. It is supported by the iterative research and development activities undertaken by the VIEWS consortium.",
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| 46 |
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"package_page_url": "https://data.humdata.org/dataset/cog-views-conflict-forecasts",
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| 47 |
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"package_title": "Congo - VIEWS conflict forecasts",
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| 48 |
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"portal_url": "https://data.humdata.org",
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| 49 |
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"resource_description": "CSV of monthly predictions for impending state-based conflict up to three years in advance. The forecasts are presented as point predictions for the number of fatalities per country and month. See the [codebook](https://api.viewsforecasting.org/fatalities003_2026_06_t01/codebook) for a description of available variables.",
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| 50 |
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"resource_format": "CSV",
|
| 51 |
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"resource_id": "2328ae80-1a6a-4520-aafb-79fb4e0cd34e",
|
| 52 |
+
"resource_last_modified": "2026-08-01T10:46:23.510428",
|
| 53 |
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"resource_name": "cog-views-conflict-forecasts-country-month.csv",
|
| 54 |
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"resource_position": "0",
|
| 55 |
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"resource_url": "https://data.humdata.org/dataset/a2229464-f870-4ecd-b145-257f984d4202/resource/2328ae80-1a6a-4520-aafb-79fb4e0cd34e/download/cog-views-conflict-forecasts-country-month.csv",
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| 56 |
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"tag_names": "conflict-violence,fatalities,forecasting"
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| 57 |
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},
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| 58 |
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"year_max": 2027,
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| 59 |
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"year_min": 2026
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| 60 |
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}
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