Turkish EV Charging Intent Dataset
Authors/Creators
Description
Turkish EV Charging Intent Dataset is a compact, balanced Turkish-language dataset for intent classification and routing in electric-vehicle and charging assistants. It contains 192 synthetic-editorial queries across eight intent classes with fixed train (128), validation (32), and test (32) splits. The dataset contains no search logs, customer conversations, or personal data.
Intended uses include Turkish intent classification, embedding and routing evaluation, and deterministic regression testing for EV assistants. The corpus is deliberately small and template-based; it must not be used to infer demand, demographics, or individual behavior, and a strong score is not evidence of production readiness.
Canonical repository: https://github.com/gokimedia/turkish-ev-charging-intents
Documentation: https://tekpedal.com/acik-veri
Hugging Face dataset: https://huggingface.co/datasets/FoodSecuriry/turkish-ev-charging-intents
Interactive explorer: https://gokimedia.github.io/turkish-ev-charging-intents/
Files
croissant.json
Files
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Additional details
Related works
- Is documented by
- Other: https://tekpedal.com/acik-veri (URL)
- Is identical to
- Dataset: https://huggingface.co/datasets/FoodSecuriry/turkish-ev-charging-intents (URL)
- Dataset: https://www.kaggle.com/datasets/morrispoint/turkish-ev-charging-intent-dataset (URL)
- Dataset: https://www.openml.org/d/47280 (URL)
- Dataset: https://osf.io/h7xsk/ (URL)
Software
- Repository URL
- https://github.com/gokimedia/turkish-ev-charging-intents