datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
llm-human-feedback-collector-chat-interface-dpostatic-rlhf-interface-data2026.RA.QKV-Attention-Interface
2026.RA.QKV-Attention-Interface
Tables behind the Q/K/V attention-interface ladder: a four-rung preregistered study asking whether you can make a language-model negotiator more rational by changing what its attention reads rather than what its prompt says. Base model Qwen/Qwen3-8B (frozen, bf16, thinking off) playing one seat in a six-party, five-issue negotiation.
Headline: the interface level was the whole story. The same fair-and-efficient candidate deal — the Nash bargaining… See the full description on the dataset page: https://huggingface.co/datasets/siddharthmb/2026.RA.QKV-Attention-Interface.software-interface-version-compatibility
Software interface version compatibility
Canonical, always-current version: https://referencesource.org/software-interface-version-compatibility/
Machine-readable: https://referencesource.org/software-interface-version-compatibility/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-04
Stale after: 2026-10-03 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)
Records: 417
Which versions of common software… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/software-interface-version-compatibility.rlhf-interface-datasetllm-human-feedback-collector-chat-interface-ktoLLM_4_HW-SW_Interface
HW/SW Interface LLM Dataset
Overview
A dataset of ~17,000 compiler-validated C programs for ARM-based embedded platforms (Raspberry Pi 3B+, Zero W, 4B, 5), designed for fine-tuning LLMs on hardware-software interface generation tasks.
Fine-tuned open-source models (6–7B parameters) trained on this dataset achieve 81–90% accuracy, matching or exceeding GPT-4o (89.3%) and Gemini Flash 2.0 (87.2%).
Dataset
data/training_set.jsonl — ~17,000 instruction-response… See the full description on the dataset page: https://huggingface.co/datasets/NOKHAB-Lab/LLM_4_HW-SW_Interface.han-robot-application-interface-spec-v1
Robot Application Interface Specification Dataset
This dataset defines standardized task-interface
schemas for robot-native applications.
The goal is to support a shared software layer
where developers can build once and deploy
across multiple humanoid platforms.
Research Motivation
A robotics economy requires consistent
application-level interfaces similar to
mobile and cloud ecosystems.
Use Cases
App portability
SDK development
Robotics middleware… See the full description on the dataset page: https://huggingface.co/datasets/ariefansclub/han-robot-application-interface-spec-v1.rlhf-interface-datarobot_voice_interface_switcherRobot Voice Interface Switcher, is a dataset of possible voice strings that a personal assistant robot could receive from a user.
The task of a trained Interfacer, is to classify the voice quickly in order to hand-off the text to the appropriate handler.
Three possible classifications are available:
TextLLM, this is text that can be passed to a general LLM for conversation.
TextPers, this is text that is conversational, but is specifically related to the robot. For instance, has the… See the full description on the dataset page: https://huggingface.co/datasets/SMEAC/robot_voice_interface_switcher.test_read_interfaces_filesystem_202602181009245579test_read_interfaces_filesystem_202602180738138958test_read_interfaces_filesystem_202602181056428056