LAION-AI / LAION-AI/Open-Assistant
What is the details for the data used for reward model OpenAssistant/oasst-rm-2-pythia-6.9b-epoch-1?
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Description
Many thanks for your great open sourcing effort! And I am new to this field and I am particularly interested in the data for training reward model. I noticed that there is a simple dataset config for this, but I am a little bit confused about the details.
datasets:
- oasst_export:
lang: "en,es,de,fr"
input_file_path: 2023-03-27_oasst_research_ready_synth.jsonl.gz
val_split: 0.1
- anthropic_rlhf:
fraction: 0.1
max_val_set: 1000
- shp:
max_val_set: 1000
- hellaswag:
fraction: 0.5
max_val_set: 1000
- webgpt:
val_split: 0.05
max_val_set: 1000
- hf_summary_pairs:
fraction: 0.1
max_val_set: 250
How can we use hellaswag as a comparison dataset? There seem to be multiple choices(rather than 2)
Is there any experimental evidence support the fraction setting we are currently using?
Many thanks for any responses in advance!
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Research direction
Start by reviewing the reward-model dataset configuration shown in the issue and the definitions of its listed datasets, especially hellaswag and the fraction settings. Document the data sources, how multi-choice examples are used for comparison, and any experimental basis for the configured fractions.
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Assessment
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100