Came across a very nice submission from 
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Came across a very nice submission from 
@marcodsn
mention
marcodsn
 for the reasoning datasets competition (
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 for the reasoning datasets competition (
https://huggingface.co/blog/bespokelabs/reasoning-datasets-competition
https://huggingface.co/blog/bespokelabs/reasoning-datasets-competition
link
). 
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The dataset distils reasoning chains from arXiv research papers in biology and economics. Some nice features of the dataset:
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The dataset distils reasoning chains from arXiv research papers in biology and economics. Some nice features of the dataset:
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- Extracts both the logical structure AND researcher intuition from academic papers 
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- Extracts both the logical structure AND researcher intuition from academic papers 
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- Adopts the persona of researchers "before experiments" to capture exploratory thinking 
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- Adopts the persona of researchers "before experiments" to capture exploratory thinking 
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- Provides multi-short and single-long reasoning formats with token budgets - Shows 7.2% improvement on MMLU-Pro Economics when fine-tuning a 3B model
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- Provides multi-short and single-long reasoning formats with token budgets - Shows 7.2% improvement on MMLU-Pro Economics when fine-tuning a 3B model
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It's created using the Curator framework with plans to scale across more scientific domains and incorporate multi-modal reasoning with charts and mathematics.
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It's created using the Curator framework with plans to scale across more scientific domains and incorporate multi-modal reasoning with charts and mathematics.
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I personally am very excited about datasets like this, which involve creativity in their creation and don't just rely on $$$ to produce a big dataset with little novelty. 
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I personally am very excited about datasets like this, which involve creativity in their creation and don't just rely on $$$ to produce a big dataset with little novelty. 
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Dataset can be found here: 
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Dataset can be found here: 
https://huggingface.co/datasets/marcodsn/academic-chains
marcodsn/academic-chains
dataset
resource
https://huggingface.co/datasets/marcodsn/academic-chains
 (give it a like!)
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 (give it a like!)
Came across a very nice submission from @marcodsn for the reasoning datasets competition (https://huggingface.co/blog/bespokelabs/reasoning-datasets-competition). 

The dataset distils reasoning chains from arXiv research papers in biology and economics. Some nice features of the dataset:

- Extracts both the logical structure AND researcher intuition from academic papers 
- Adopts the persona of researchers "before experiments" to capture exploratory thinking 
- Provides multi-short and single-long reasoning formats with token budgets - Shows 7.2% improvement on MMLU-Pro Economics when fine-tuning a 3B model

It's created using the Curator framework with plans to scale across more scientific domains and incorporate multi-modal reasoning with charts and mathematics.

I personally am very excited about datasets like this, which involve creativity in their creation and don't just rely on $$$ to produce a big dataset with little novelty. 

Dataset can be found here: https://huggingface.co/datasets/marcodsn/academic-chains (give it a like!)
🔥
davanstrien John6666 BrigitteTousi onlinesalesandmarketing dvilasuero
❤️
marcodsn BrigitteTousi