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Add dataset card

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  ---
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- dataset_info:
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- features:
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- - name: Domain Code
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- dtype: string
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- - name: Domain
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- dtype: string
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- - name: Area Code
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- dtype: int64
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- - name: Area
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- dtype: string
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- - name: Element Code
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- dtype: int64
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- - name: Element
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- dtype: string
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- - name: Item Code
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- dtype: int64
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- - name: Item
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- dtype: string
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- - name: Year Code
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- dtype: int64
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- - name: Year
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- dtype: string
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- - name: Source Code
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- dtype: int64
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- - name: Source
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- dtype: string
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- - name: Unit
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- dtype: string
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- - name: Value
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- dtype: float64
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- splits:
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- - name: train
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- num_bytes: 57699814
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- num_examples: 349423
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- - name: test
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- num_bytes: 14490377
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- num_examples: 87356
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- download_size: 4911536
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- dataset_size: 72190191
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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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+ tags:
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+ - asia
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+ - faostat
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+ - agriculture
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+ - food-security
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+ - tabular
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+ pretty_name: "Emissions totals — Asia (FAOSTAT)"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+
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+ # Emissions totals — Asia
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+
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+ **Source:** [FAOSTAT — Emissions totals](https://www.fao.org/faostat/en/#data/GT)
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+ **Domain code:** `GT`
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+ **Publisher:** Food and Agriculture Organization of the United Nations (FAO)
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+ **Coverage:** 45 Asian countries · 1961–2050 · 436,779 rows
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+ **Items:** 43 · **Elements:** 9
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+
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+ ## About
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+
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+ FAOSTAT is the world's largest and most comprehensive statistical database on food, agriculture, fisheries,
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+ forestry, and rural development. This dataset contains the **Emissions totals** domain filtered to all available
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+ Asian countries, repackaged in ML-ready Parquet format by [Electric Sheep Asia](https://huggingface.co/electricsheepasia).
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+
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+ ## Schema
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+
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+ | Column | Type |
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+ |--------|------|
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+ | `Domain Code` | object |
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+ | `Domain` | object |
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+ | `Area Code` | int64 |
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+ | `Area` | object |
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+ | `Element Code` | int64 |
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+ | `Element` | object |
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+ | `Item Code` | int64 |
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+ | `Item` | object |
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+ | `Year Code` | int64 |
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+ | `Year` | object |
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+ | `Source Code` | int64 |
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+ | `Source` | object |
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+ | `Unit` | object |
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+ | `Value` | float64 |
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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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+ ds = load_dataset("electricsheepasia/asia-faostat-gt")
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+ df = ds["train"].to_pandas()
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+ ```
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+
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+ ## Citation
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+
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+ ```
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+ @misc{faostat_gt_asia,
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+ title = {Emissions totals — Asia},
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+ author = {Food and Agriculture Organization of the United Nations},
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+ year = {2050},
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+ url = {https://www.fao.org/faostat/en/#data/GT},
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+ note = {Repackaged by Electric Sheep Asia}
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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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+ [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) — FAO open data.