Add dataset card

README.md

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-dataset_info:
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-  - name: VERSION
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 109440119
-    num_examples: 87613
-  download_size: 6855943
-  dataset_size: 109440119
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: cc-by-4.0
+language:
+- en
+task_categories:
+- tabular-classification
+- tabular-regression
+- time-series-forecasting
+multilinguality: monolingual
+size_categories:
+- 10K<n<100K
+tags:
+- tabular
+- africa
+- harvard-dataverse-(ifpri-africarising)
+- household-survey-microdata
+- ifpri
+- dataverse
+- africa-rising
+- microdata
+pretty_name: "Korean Labor and Income Panel Study (KLIPS), 1998-2206: Wave 1-9 (M1194) | Africa (Harvard Dataverse / AfricaRISING)"
 ---
+
+# Korean Labor and Income Panel Study (KLIPS), 1998-2206: Wave 1-9 (M1194) | Africa (Harvard Dataverse / AfricaRISING)
+
+🌍 **87,613 observations** · **0 Africa countries** · **—–—** · *Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
+
+![rows](https://img.shields.io/badge/rows-87,613-blue) ![countries](https://img.shields.io/badge/countries-0-green) ![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)
+
+## TL;DR
+
+This dataset contains **87,613 observations** of `Household Survey Microdata` data across **0 Africa countries**.
+
+## About the source
+
+- **Source:** [Harvard Dataverse (IFPRI AfricaRISING)](https://dataverse.harvard.edu/dataverse/africaRISING)
+- **Publisher:** International Food Policy Research Institute
+- **License:** [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/)
+- **Topic:** Household Survey Microdata
+
+## Geographic coverage
+
+0 Africa countries · top rows shown below, sorted by row count:
+
+_Per-country coverage not computable for this schema._
+
+## Schema
+
+| Column | Type | Description | Example |
+|--------|------|-------------|---------|
+| `PID` | `int64` | — | `101` |
+| `jobwave` | `int64` | — | `1` |
+| `jobseq` | `int64` | — | `1` |
+| `jobnum` | `int64` | — | `101` |
+| `jobnumc` | `float64` | — | `101.0` |
+| `jobcens` | `int64` | — | `3` |
+| `jobtype` | `float64` | — | `1.0` |
+| `jobclass` | `float64` | — | `1.0` |
+| `mainjob` | `float64` | — | `1.0` |
+| `HHID98` | `float64` | — | `1.0` |
+| `HMEM98` | `float64` | — | `1.0` |
+| `HHID99` | `float64` | — | `1.0` |
+| `HMEM99` | `float64` | — | `1.0` |
+| `HHID00` | `float64` | — | `1.0` |
+| `HMEM00` | `float64` | — | `1.0` |
+| `HHID01` | `float64` | — | `2.0` |
+| `HMEM01` | `float64` | — | `1.0` |
+| `HHID02` | `float64` | — | `1.0` |
+| `HMEM02` | `float64` | — | `1.0` |
+| `HHID03` | `float64` | — | `1.0` |
+| `HMEM03` | `float64` | — | `1.0` |
+| `HHID04` | `float64` | — | `1.0` |
+| `HMEM04` | `float64` | — | `2.0` |
+| `HHID05` | `float64` | — | `1.0` |
+| `HMEM05` | `float64` | — | `1.0` |
+| `HHID06` | `float64` | — | `1.0` |
+| `HMEM06` | `float64` | — | `1.0` |
+| `J001` | `float64` | — | `1988.0` |
+| `J002` | `float64` | — | `10.0` |
+| `J003` | `float64` | — | `20.0` |
+| `j004` | `float64` | — | `2001.0` |
+| `j005` | `float64` | — | `6.0` |
+| `j006` | `float64` | — | `10.0` |
+| `j007` | `float64` | — | `1.0` |
+| `j008` | `float64` | — | `2002.0` |
+| `j009` | `float64` | — | `4.0` |
+| `j010` | `float64` | — | `2003.0` |
+| `j011` | `float64` | — | `5.0` |
+| `j012` | `float64` | — | `999.0` |
+| `j013` | `float64` | — | `3.0` |
+| _... (113 more columns)_ | | | |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("electricsheepafrica/africa-arising-korean-labor-and-income-panel-study-klips-1998-2206-wav")
+df = ds["train"].to_pandas()
+print(df.head())
+```
+
+### Filter to one country
+
+```python
+kenya = df[df["country_iso3"] == "KEN"]
+```
+
+### Time-series for a single indicator
+
+```python
+sample = df.sort_values("year")
+sample.plot(x="year", y="value")
+```
+
+## Citation
+
+```bibtex
+@misc{africa_arising_korean_labor_and_income_panel_study_klips_1998_2206_wav_2026,
+  title        = {Korean Labor and Income Panel Study (KLIPS), 1998-2206: Wave 1-9 (M1194) | Africa (Harvard Dataverse / AfricaRISING)},
+  author       = {International Food Policy Research Institute},
+  year         = {2026},
+  url          = {https://dataverse.harvard.edu/dataverse/africaRISING},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-arising-korean-labor-and-income-panel-study-klips-1998-2206-wav}}
+}
+```
+
+## License
+
+Released under [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/).
+
+Original data © International Food Policy Research Institute. 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 HuggingFace. 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 2026-05-26 via the Electric Sheep pipeline. Source URL: https://dataverse.harvard.edu/dataverse/africaRISING_