tir
Datasets
All datasets matching “tir”NuminaMath-TIR
Dataset Card for NuminaMath CoT
Dataset Summary
Tool-integrated reasoning (TIR) plays a crucial role in this competition. However, collecting and annotating such data is both costly and time-consuming. To address this, we selected approximately 70k problems from the NuminaMath-CoT dataset, focusing on those with numerical outputs, most of which are integers. We then utilized a pipeline leveraging GPT-4 to generate TORA-like reasoning paths, executing the code and… See the full description on the dataset page: https://huggingface.co/datasets/AI-MO/NuminaMath-TIR.TIR-Bench
TIR-Bench: A Comprehensive Benchmark for Agentic Thinking-with-Images Reasoning
Introduction:
TIR-Bench is a comprehensive benchmark designed to evaluate the "thinking-with-images" capabilities of Multimodal Large Language Models (MLLMs), addressing a gap left by existing benchmarks like Visual Search which only test basic operations. As models like OpenAI o3 begin to intelligently create and operate tools to transform images for problem-solving, TIR-Bench provides 13… See the full description on the dataset page: https://huggingface.co/datasets/Agents-X/TIR-Bench.FR_Drugs_tiret_dictation_augmented
FR_Drugs_tiret_dictation_augmented
Dictee de listes de medicaments au format "tiret" (patterns du dataset
FR_Drugs_dictation_with_dashes_pattern, molecules completees depuis les sources
autocorrect/medical), synthetisee en TTS Coqui XTTS v2 (600 voix clonees) puis
augmentee acoustiquement.
element
valeur
extraits
141960
moteur
Coqui XTTS v2, 600 voix clonees (16 kHz mono)
base
audio/coqui/<shard>/
parasite seul (65%)
audio_babble_only/
echo seul (25%)… See the full description on the dataset page: https://huggingface.co/datasets/PraxySante/FR_Drugs_tiret_dictation_augmented.SAGE
SAGE: Scalable Agentic Grounded Evaluation for Crop Disease Diagnosis
Paper: arXiv:2605.09768
Arshad, Roy, Shen, Elango, Chiranjeevi, A. K. Singh, Ganapathysubramanian, Hegde, A. Singh, Sarkar.
~801,807 images across 335 crops / 1,251 disease classes, each enriched with
source-grounded visual symptom knowledge: every visual description is
extracted verbatim from an authoritative web page (university extension / APS /
CABI) with a source URL and a supporting quote, and… See the full description on the dataset page: https://huggingface.co/datasets/tirtho149/SAGE.tirucallerTagaVLM-dataset
