walnut
Datasets
All datasets matching “walnut”walnutWalnutData
WalnutData
With the gradual maturity of UAV technology, it can provide extremely powerful support for smart agriculture and precise monitoring. Currently, there is no dataset related to green walnuts in the field of agricultural computer vision. Therefore, in order to promote the algorithm design in the field of agricultural computer vision, we used UAV to collect remote sensing data from 8 walnut sample plots. Considering that green walnuts have the characteristics… See the full description on the dataset page: https://huggingface.co/datasets/nanmao/WalnutData.SlimPajama-PT
SlimPajama-6B & SlimPajama-30B
Pre-training data sampled from cerebras/SlimPajama-627B, at two scales: ~6B tokens and ~30B tokens. The data is formatted in JSONL and is compatible with LLaMA-Factory training pipelines.
Repository Structure
├── train/
│ ├── 6B/ # ~6B tokens, 7 JSONL files by source
│ │ ├── RedPajamaCommonCrawl-6B.jsonl
│ │ ├── RedPajamaC4-6B.jsonl
│ │ ├── RedPajamaGithub-6B.jsonl
│ │ ├── RedPajamaBook-6B.jsonl
│… See the full description on the dataset page: https://huggingface.co/datasets/Walnutes/SlimPajama-PT.walnut-edip-sparse20
Scitomo Walnut EDIP Sparse-20 prepared dataset
This is a derived Scitomo Sparse-20 preparation of the public Walnut-1
cone-beam X-ray CT acquisition. It is not the original Walnut archive, not a
published EDIP reconstruction, and not a blessed Scitomo result. The package
contains measured projections, corrected vector-cone geometry, and the
published AGD-50 evaluation reference used by the maintained Scitomo Walnut
EDIP evidence workflow.
Provenance and attribution… See the full description on the dataset page: https://huggingface.co/datasets/scitomo/walnut-edip-sparse20.apple-walnut
Nepali Source-Grounded Instruction Dataset
Synthetic Nepali instruction-tuning data generated with NVIDIA NeMo Data
Designer from authoritative Nepali documents (agriculture manuals, legal
texts). Answers are grounded strictly in the source; unanswerable questions
get an explicit refusal. Records use chat messages format plus metadata
and per-record quality_scores (grounding / correctness / naturalness, 1-5,
LLM-as-judge). One data/train-<shard>.jsonl per source document; shards… See the full description on the dataset page: https://huggingface.co/datasets/aarajbhattarai/apple-walnut.rejected-apple-walnut
Nepali Source-Grounded Instruction Dataset — REJECTED
Synthetic Nepali instruction-tuning data generated with NVIDIA NeMo Data
Designer from authoritative Nepali documents (agriculture manuals, legal
texts). Answers are grounded strictly in the source; unanswerable questions
get an explicit refusal. Records use chat messages format plus metadata
and per-record quality_scores (grounding / correctness / naturalness, 1-5,
LLM-as-judge). One data/train-<shard>.jsonl per source… See the full description on the dataset page: https://huggingface.co/datasets/aarajbhattarai/rejected-apple-walnut.