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  ---
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- dataset_info:
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- features:
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- - name: country_name
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- dtype: string
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- - name: country_iso3
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- dtype: string
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- - name: year
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- dtype: int64
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- - name: Wheat
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- dtype: float64
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- - name: Rice
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- dtype: float64
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- - name: Barley
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- dtype: float64
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- - name: Maize
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- dtype: float64
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- - name: Rye
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- dtype: float64
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- - name: Oats
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- dtype: float64
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- - name: Millet
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- dtype: float64
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- - name: Sorghum
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- dtype: float64
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- - name: Potatoes
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- dtype: float64
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- splits:
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- - name: train
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- num_bytes: 158970
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- num_examples: 1596
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- - name: test
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- num_bytes: 40166
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- num_examples: 399
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- download_size: 129784
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- dataset_size: 199136
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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-*
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- - split: test
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- path: data/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ - 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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+ - europe
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+ - our-world-in-data
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+ - yields-of-important-staple-crops
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+ - owid
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+ - long-run-series
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+ - time-series
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+ pretty_name: "Yields Of Important Staple Crops | Europe (Our World in Data)"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # Yields Of Important Staple Crops | Europe (Our World in Data)
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+
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+ 🇪🇺 **1,995 observations** · **39 Europe countries** · **1275–2024** · *Repackaged by [Electric Sheep Europe](https://huggingface.co/electricsheepeurope)*
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+
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+ ![rows](https://img.shields.io/badge/rows-1,995-blue) ![countries](https://img.shields.io/badge/countries-39-green) ![years](https://img.shields.io/badge/years-1275–2024-orange) ![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 contains **1,995 observations** of `Yields Of Important Staple Crops` data across **39 Europe countries**, spanning **1275–2024**.
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+
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+ ## About the source
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+
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+ - **Source:** [Our World in Data](https://ourworldindata.org/grapher/yields-of-important-staple-crops)
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+ - **Publisher:** Our World in Data
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+ - **License:** [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/)
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+ - **Topic:** Yields Of Important Staple Crops
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+
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+ ## Geographic coverage
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+
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+ 39 Europe countries · top rows shown below, sorted by row count:
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+
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+ | Country | Rows | First year | Last year |
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+ |---------|-----:|-----------:|----------:|
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+ | `GBR` | 81 | 1275 | 2024 |
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+ | `GRC` | 68 | 1850 | 2024 |
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+ | `AUT` | 68 | 1850 | 2024 |
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+ | `DNK` | 68 | 1850 | 2024 |
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+ | `ESP` | 68 | 1850 | 2024 |
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+ | `DEU` | 68 | 1850 | 2024 |
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+ | `FRA` | 68 | 1850 | 2024 |
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+ | `NLD` | 68 | 1850 | 2024 |
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+ | `NOR` | 68 | 1850 | 2024 |
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+ | `ITA` | 68 | 1850 | 2024 |
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+ | `ROU` | 67 | 1911 | 2024 |
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+ | `HUN` | 67 | 1911 | 2024 |
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+ | `BGR` | 67 | 1911 | 2024 |
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+ | `ALB` | 64 | 1961 | 2024 |
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+ | `CHE` | 64 | 1961 | 2024 |
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+ | ... | _24 more countries_ | | |
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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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+ | `country_name` | `string` | — | `Albania` |
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+ | `country_iso3` | `string` | — | `ALB` |
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+ | `year` | `int64` | — | `1961` |
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+ | `Wheat` | `float64` | — | `0.7731` |
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+ | `Rice` | `float64` | — | `1.5514001` |
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+ | `Barley` | `float64` | — | `1.0224` |
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+ | `Maize` | `float64` | — | `0.9541` |
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+ | `Rye` | `float64` | — | `0.6626` |
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+ | `Oats` | `float64` | — | `0.60450006` |
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+ | `Millet` | `float64` | — | `1.5315001` |
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+ | `Sorghum` | `float64` | — | `0.53790003` |
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+ | `Potatoes` | `float64` | — | `7.2134004` |
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+
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+ ## Data quality & caveats
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+
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+ - `Wheat` column has 3.6% null values (filtered to non-null in this dataset).
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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("electricsheepeurope/europe-owid-yields-of-important-staple-crops")
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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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+ germany = df[df["country_iso3"] == "DEU"]
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+ ```
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+
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+ ### Time-series for a single indicator
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+
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+ ```python
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+ sample = df.sort_values("year")
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+ sample.plot(x="year", y="Wheat")
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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{europe_owid_yields_of_important_staple_crops_2024,
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+ title = {Yields Of Important Staple Crops | Europe (Our World in Data)},
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+ author = {Our World in Data},
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+ year = {2024},
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+ url = {https://ourworldindata.org/grapher/yields-of-important-staple-crops},
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+ publisher = {HuggingFace Datasets, repackaged by Electric Sheep Europe},
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+ howpublished = {\url{https://huggingface.co/datasets/electricsheepeurope/europe-owid-yields-of-important-staple-crops}}
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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 © Our World in Data. When using this dataset, please cite both the original source above and the Electric Sheep Europe repackaging.
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+
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+ ## About Electric Sheep
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+
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+ Electric Sheep Europe is part of the Electric Sheep mission: a unified, ML-ready data layer for Europe 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.
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+
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+ Browse the full collection: [huggingface.co/electricsheepeurope](https://huggingface.co/electricsheepeurope)
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+
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+ ---
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+
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+ _Provenance: ingested 2026-06-13 via the Electric Sheep pipeline. Source URL: https://ourworldindata.org/grapher/yields-of-important-staple-crops_