pthinc/BCE-Prettybird-Micro-Standard-v0.0.5
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🚀 The Future Standard pthinc/BCE-Prettybird-Micro-Standard-v0.0.5 HERE!
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#1 opened 5 days ago
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prometechinc
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Cicikus-v4-0.3B-PITIRCIK (Prettybird Cutiee) Edition
#1 opened 6 days ago
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BCE-Prettybird-Nano-Science-v0.1 - 500 Science Q&A Dataset for Instruction-Based Learning
We are excited to introduce a comprehensive math-physics-chemistry-biology dataset containing 500 instruction-based question-answer pairs, designed to support research in science reasoning, problem-solving, and AI training. Generated using Python’s math libraries (e.g., math, numpy, sympy), the dataset covers a diverse range of difficulty levels—from basic arithmetic and algebra to advanced calculus, probability, and number theory.
Each entry follows a structured instruction-input-output format, ensuring clarity and usability for fine-tuning language models, benchmarking AI systems, or educational applications. The problems include word problems, symbolic computations, and real-world scenarios, making it ideal for developing models that require logical reasoning and numerical precision.
Whether for LLM fine-tuning, automated tutoring, or math-focused AI research, this dataset provides a balanced mix of complexity and accessibility, helping bridge the gap between theoretical math and practical problem-solving.
We are excited to introduce a comprehensive math-physics-chemistry-biology dataset containing 500 instruction-based question-answer pairs, designed to support research in science reasoning, problem-solving, and AI training. Generated using Python’s math libraries (e.g., math, numpy, sympy), the dataset covers a diverse range of difficulty levels—from basic arithmetic and algebra to advanced calculus, probability, and number theory.
Each entry follows a structured instruction-input-output format, ensuring clarity and usability for fine-tuning language models, benchmarking AI systems, or educational applications. The problems include word problems, symbolic computations, and real-world scenarios, making it ideal for developing models that require logical reasoning and numerical precision.
Whether for LLM fine-tuning, automated tutoring, or math-focused AI research, this dataset provides a balanced mix of complexity and accessibility, helping bridge the gap between theoretical math and practical problem-solving.
prometechinc
updated a
dataset 9 days ago
prometechinc
published a
dataset 9 days ago
prometechinc
posted an update 11 days ago
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146
🚀 New Advanced Math Datasets Released: BCE-Prettybird-Micro-Math & Nano-Math v0.1!
Designed for researchers, educators, and AI developers, these datasets feature challenging, competition-level math problems covering calculus, linear algebra, number theory, combinatorics, and more in a clean instruction-input-output format.
✅ Why these datasets?
✔ Rigorously curated – Problems range from Olympiad-style to university-level difficulty.
✔ Diverse topics – Ideal for fine-tuning LLMs, benchmarking reasoning models, or automated tutoring.
✔ Structured for AI training – Perfect for supervised fine-tuning (SFT) or reinforcement learning (RL).
🔗 Check them out, download, and start building!
💡 Feedback & contributions welcome—let’s push the boundaries of AI math reasoning together!
#MathAI #DatasetRelease #LLM #MachineLearning #HuggingFace
Designed for researchers, educators, and AI developers, these datasets feature challenging, competition-level math problems covering calculus, linear algebra, number theory, combinatorics, and more in a clean instruction-input-output format.
✅ Why these datasets?
✔ Rigorously curated – Problems range from Olympiad-style to university-level difficulty.
✔ Diverse topics – Ideal for fine-tuning LLMs, benchmarking reasoning models, or automated tutoring.
✔ Structured for AI training – Perfect for supervised fine-tuning (SFT) or reinforcement learning (RL).
🔗 Check them out, download, and start building!
💡 Feedback & contributions welcome—let’s push the boundaries of AI math reasoning together!
#MathAI #DatasetRelease #LLM #MachineLearning #HuggingFace
🔢 BCE-Prettybird-Nano-Math-v0.1 - 500 Math Q&A Dataset for Instruction-Based Learning
🚀 1
#1 opened 11 days ago
by prometechinc
prometechinc
updated a
dataset 11 days ago
prometechinc
published a
dataset 11 days ago
prometechinc
updated a
dataset 11 days ago
prometechinc
published a
dataset 11 days ago