sft-training
DRT-SFT-8B-training-data
DRT-SFT-8B Training Data
Paper: DRT: Dense Reasoning Trace for Efficient and Grounded Multimodal ReasoningCode: https://github.com/HIT-leaderone/DRT
This dataset contains the SFT training parquet shards used for DRT-SFT-8B.
Contents
20 parquet shards: Vision-R1_part_0.parquet ... Vision-R1_part_19.parquet
Total rows: 194,719
Columns: problem_id, content, role, image
Downloaded size: about 30.4 GiB
Notes
The parquet files are uploaded without… See the full description on the dataset page: https://huggingface.co/datasets/leaderonehit/DRT-SFT-8B-training-data.sat-vl-sft-training-ready-v1
Dataset Summary
NuTonic/sat-bbox-metadata-sft-v1 is a metadata-first, procedural VLM SFT dataset built from an existing “sat-bbox” style dataset tree (Sentinel‑2 chips + per-tile JSON metadata sidecars, optionally paired Mapbox stills).
The goal is to create high-signal, production-shaped supervision for multimodal chat models:
Captioning for satellite chips
Grounding (bounding boxes in normalized coordinates) for land-cover regions
Class-focused captions and absence checks for… See the full description on the dataset page: https://huggingface.co/datasets/NuTonic/sat-vl-sft-training-ready-v1.Llama-Nemotron-Post-Training-Dataset-SFT-CoT-Onlyoracle-sft-military-submarine-post-hoc-mixed-fd-targeted-training-dataolmo2_1b_sft_checkpoint_oracle_v1-training-dataLlama-Nemotron-Post-Training-Dataset-SFT-math-FI
Llama-Nemotron-Post-Training-Dataset-SFT-math-FI
This dataset is a Finnish machine-translated version of the SFT/math split from the original nvidia/Llama-Nemotron-Post-Training-Dataset.
The data was created by translating the original English math SFT subset into Finnish using the DeepSeek-V3 model.
Translation Process
The user prompt and the thinking traces were translated separately in two LLM requests. For traces, the <think> and </think> tokens were preserved… See the full description on the dataset page: https://huggingface.co/datasets/LumiOpen/Llama-Nemotron-Post-Training-Dataset-SFT-math-FI.