# SYNTHLabs
text
# SYNTHLabs
new_line
new_line
Symbolic reasoning dataset creator & curator.
text
Symbolic reasoning dataset creator & curator.
new_line
new_line
- Generator: create your own dataset from scratch
text
- Generator: create your own dataset from scratch
new_line
- Converter: use existing datasets (Hugging Face support) with reasoning traces to match our SYNTH style
text
- Converter: use existing datasets (Hugging Face support) with reasoning traces to match our SYNTH style
new_line
- DEEP Mode: multiple agents working together in various configurations
text
- DEEP Mode: multiple agents working together in various configurations
new_line
- Multi-turn Support: pass one DEEP run, let the model ask follow-up questions, and choose who should respond using SYNTH-like thinking
text
- Multi-turn Support: pass one DEEP run, let the model ask follow-up questions, and choose who should respond using SYNTH-like thinking
new_line
- Firebase/Firestore: download your data directly as a JSONL file or upload it to your Firestore (production mode)
text
- Firebase/Firestore: download your data directly as a JSONL file or upload it to your Firestore (production mode)
new_line
- Data Preview: Have data but unsure what's inside? Explore it directly!
text
- Data Preview: Have data but unsure what's inside? Explore it directly!
new_line
- Verifier View: evaluate generated data, remove duplicates, assign ratings
text
- Verifier View: evaluate generated data, remove duplicates, assign ratings
new_line
new_line
and many more!
text
and many more!
new_line
new_line
GitHub: 
text
GitHub: 
https://github.com/mkurman/synthlabs
https://github.com/mkurman/synthlabs
link
new_line
new_line
Dataset:
text
Dataset:
new_line
https://huggingface.co/datasets/mkurman/medical-SYNTH-reasoning-preview
mkurman/medical-SYNTH-reasoning-preview
dataset
resource
https://huggingface.co/datasets/mkurman/medical-SYNTH-reasoning-preview
# SYNTHLabs

Symbolic reasoning dataset creator & curator.

- Generator: create your own dataset from scratch
- Converter: use existing datasets (Hugging Face support) with reasoning traces to match our SYNTH style
- DEEP Mode: multiple agents working together in various configurations
- Multi-turn Support: pass one DEEP run, let the model ask follow-up questions, and choose who should respond using SYNTH-like thinking
- Firebase/Firestore: download your data directly as a JSONL file or upload it to your Firestore (production mode)
- Data Preview: Have data but unsure what's inside? Explore it directly!
- Verifier View: evaluate generated data, remove duplicates, assign ratings

and many more!

GitHub: https://github.com/mkurman/synthlabs

Dataset:
https://huggingface.co/datasets/mkurman/medical-SYNTH-reasoning-preview
👍
webxos John6666