datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
annulus-ift-2000
Annulus Instruction-Tuning Data — Backbone (knowledge boundary = 2000)
Instruction fine-tuning data for the Annulus time-aware model's backbone (knowledge cutoff = year 2000). It teaches the model to (1) emit a leading control/year token and (2) produce the right behavior — recall a known fact, refuse or forecast beyond the boundary, or follow a year-agnostic instruction.
The cutoff is intrinsic to the model, NOT taught by the text. No sample states its knowledge boundary in… See the full description on the dataset page: https://huggingface.co/datasets/lfqian/annulus-ift-2000.NILE-IFT-DatasetHere are the IFT datasets for the EMNLP 2025 Main paper NILE.
These include the Alpaca dataset (release_nile_alpaca_dataset.json) and the sampled OpenOrca dataset (release_nile_orca_dataset.json), both revised by the NILE framework.
csrrg_ift_dataset
CSRRG Instruction Fine-Tuning Dataset
Dataset Details
Dataset type: CSRRG IFT is a large-scale instruction-following dataset for chest X-ray report generation.
It is constructed for visual instruction tuning and building large multimodal models capable of generating structured radiology reports.
Dataset composition: The dataset contains approximately 1.6 million instruction-following examples across 5 subsets, covering both Structured Radiology Report Generation (SRRG)… See the full description on the dataset page: https://huggingface.co/datasets/erjui/csrrg_ift_dataset.athena-iftgsm8k-onpolicy-Qwen3-0.6B-iftsquad_total