datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Qwen2.5-7B-Instruct-Self-Calibration
Efficient Test-Time Scaling via Self-Calibration
This repository contains datasets used in the paper Efficient Test-Time Scaling via Self-Calibration. The datasets are used to evaluate the effectiveness of test-time scaling methods for LLMs. Each config_name in the metadata refers to a different reasoning dataset. More detailed descriptions of each dataset are needed. Consider adding a section for each config_name with a description, statistics, and any other relevant… See the full description on the dataset page: https://huggingface.co/datasets/HINT-lab/Qwen2.5-7B-Instruct-Self-Calibration.hintedselfteacher-nemotron-math-v2-AoPS
hintedselfteacher-nemotron-math-v2-AoPS
This dataset contains a training-ready hinted self-teacher split derived from the AoPS split of nvidia/Nemotron-Math-v2.
The source problems were filtered to the AoPS split with the medium/notool solve rate between 2 and 6. Hints were generated with GPT-5.5 medium using an h17_nt hint-generation prompt. This hint type was close to the best hint type found after doing hint mutations, based on qualitative analysis of token-level hinted… See the full description on the dataset page: https://huggingface.co/datasets/ar0cket1/hintedselfteacher-nemotron-math-v2-AoPS.qwen3-4b-base-self-distillation-hints
Qwen3-4B-Base Self-Distillation Hints
4,481 unique accepted math problems, each with a verifiable target answer,
a reference worked solution, and an h17_nt private problem-solving hint.
The intended student is Qwen/Qwen3-4B-Base. Hints were generated by
GPT-5.6 Sol (gpt-5.6-sol), medium reasoning effort, default service tier,
not by Qwen. No student rollout traces were supplied to the hint generator.
Intended Use
Use prompt for the student and hint_text as… See the full description on the dataset page: https://huggingface.co/datasets/ar0cket1/qwen3-4b-base-self-distillation-hints.CallAgentAI-Hinglish-Customer-Service
CallAgent AI: Hinglish Business Conversations Dataset
This dataset contains synthetic, high-quality "Hinglish" (Hindi + English code-switching) customer service interactions. It was generated by CallAgent AI (callagentai.in) — India's leading AI voice receptionist platform designed specifically for Indian SMBs.
Why this dataset exists
Global voice AI models often fail to capture the unique nuances of Indian business calls, which heavily rely on fluid language… See the full description on the dataset page: https://huggingface.co/datasets/Ghanashyaam/CallAgentAI-Hinglish-Customer-Service.mindbridge-phq9-hindi-seeds
MindBridge Hindi PHQ-9/GAD-7 — Gold Seeds (144 rows)
Hand-authored Hindi seeds for PHQ-9 + GAD-7 screening across three personas
(postnatal_mother, older_woman, man) in 1:1:1 distribution. Authored via
SuperWhisper Scribe with cloud LLM post-process; all rows
human-reviewed with review_status=accepted.
This seed set drives Phase B teacher expansion (in-context exemplars for
Gemma 4 26B-A4B MoE on Vertex MaaS) plus 24 Item-9 (suicidality) extras
authored separately. See companion… See the full description on the dataset page: https://huggingface.co/datasets/Huzayfah-Patel/mindbridge-phq9-hindi-seeds.