datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
verified-agronomy-17k
Verified Agronomy, 17,199 rows
The arithmetic a working agronomist actually does: fertiliser rates, growing degree days,
irrigation scheduling, seeding rates, grain moisture, sprayer calibration, forage budgeting.
Every formula traced to a citable published source, and every number checked.
And 1,796 rows (10.4%) that cannot be answered at all, where the correct response is to say so
and name the missing input.
Verify this card… See the full description on the dataset page: https://huggingface.co/datasets/manifesta/verified-agronomy-17k.agronomy-qa-agriculture
Agronomy QA Pairs — Agriculture Instruction Dataset
A concise, English-language question-and-answer dataset covering practical agriculture:
crop management and planting, soil health and fertility, irrigation, and pest and disease
control, with a smaller amount of livestock content. Curated for instruction fine-tuning
of language models in the agriculture domain.
Rows
1,914 question/answer pairs
Unique questions
1,914 — no duplicate questions
Unique answers
1,870… See the full description on the dataset page: https://huggingface.co/datasets/flamiinngo/agronomy-qa-agriculture.adaption-agronomy-qa-pairs
East Africa Agronomy QA
Agricultural AI for the languages and people feeding East Africa
East Africa's food system is enormous. Agriculture remains at the centre of the region's economy and livelihoods, while Africa as a whole has around 300 million people employed in agrifood systems and the highest regional share of employment in agrifood systems globally, at 64.5%. Agriculture accounts for roughly 74.4% of Africa's agrifood-system employment.… See the full description on the dataset page: https://huggingface.co/datasets/RayNene/adaption-agronomy-qa-pairs.agronomy-qa-pairs
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
agronomy_qa_pairs
This dataset consists of question-and-answer pairs focused on agronomy, crop management, and plant pathology. The content covers topics such as planting spacing, pest control, soil tillage, fertilizer application, and botanical classifications. Each entry features a specific agricultural query followed by a concise, factual completion.
Dataset size
There are… See the full description on the dataset page: https://huggingface.co/datasets/Professor/agronomy-qa-pairs.agronomy
Agronomy_FL Dataset
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Agronomy_FL Dataset
The Agronomy_FL dataset is a carefully curated corpus of question-answer (QA) pairs derived from a fusion of multiple high-quality public agricultural data sources. It is designed to support the development and fine-tuning of language models focused on agronomic knowledge, sustainable farming, biological control, and best practices in agriculture.
📚 Dataset Composition
This dataset combines information from the… See the full description on the dataset page: https://huggingface.co/datasets/45acp/agronomy.