PleIAs/Pleias-RAG-350M
Text Generation
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PleIAs
company
AI & ML interests
Open Science LLMs
Recent Activity
PleIAs's activity
Pclanglais
updated
a
model
about 8 hours ago
Pclanglais
updated
a
dataset
1 day ago
Pclanglais
published
a
dataset
2 days ago
carlosrosas
authored
a
paper
3 days ago
Add library name and link to Github repository
#2 opened 10 days ago
by
nielsr
Improve model card: Add library name, pipeline tag and link to code
#2 opened 10 days ago
by
nielsr
anastasiastasenko
authored
a
paper
9 days ago
mdelsart
authored
a
paper
9 days ago
pchizhov
authored
a
paper
9 days ago
Pclanglais
authored
a
paper
9 days ago
Pclanglais
updated
a
model
10 days ago
Add some metadata to the model card
2
#1 opened 14 days ago
by
tomaarsen
Pclanglais
updated
2
models
14 days ago
Pclanglais
updated
a
collection
15 days ago
davanstrien
posted
an
update
16 days ago
Post
1960
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 $$$ to produce a big dataset with little novelty.
Dataset can be found here: marcodsn/academic-chains (give it a like!)
The dataset distils reasoning chains from arXiv research papers in biology and economics. Some nice features of the dataset:
- Extracts both the logical structure AND researcher intuition from academic papers
- Adopts the persona of researchers "before experiments" to capture exploratory thinking
- Provides multi-short and single-long reasoning formats with token budgets - Shows 7.2% improvement on MMLU-Pro Economics when fine-tuning a 3B model
It's created using the Curator framework with plans to scale across more scientific domains and incorporate multi-modal reasoning with charts and mathematics.
I personally am very excited about datasets like this, which involve creativity in their creation and don't just rely on $$$ to produce a big dataset with little novelty.
Dataset can be found here: marcodsn/academic-chains (give it a like!)
Add GGUF model file
#2 opened 16 days ago
by
aapoliakova