-
Notifications
You must be signed in to change notification settings - Fork 47
[Doc] add a new page with example list from the dataset perspective #434
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Merged
Merged
Changes from 2 commits
Commits
Show all changes
4 commits
Select commit
Hold shift + click to select a range
File filter
Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
45 changes: 45 additions & 0 deletions
45
docs/sphinx_doc/source/tutorial/example_dataset_perspective.md
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,45 @@ | ||
| # Example List from the Dataset Perspective | ||
|
|
||
| This guide provide an example list from the dataset perspective, where you can find out what datasets the examples have covered easily. | ||
HYLcool marked this conversation as resolved.
Outdated
Show resolved
Hide resolved
|
||
|
|
||
| | Dataset | Algorithm | Use Case | References | | ||
| | --- | --- | --- | --- | | ||
| | [openai/gsm8k](https://huggingface.co/datasets/openai/gsm8k) | GRPO | Regular RFT | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_gsm8k), [doc](https://modelscope.github.io/Trinity-RFT/en/main/tutorial/example_reasoning_basic.html) | | ||
| | | GRPO | Asynchronous training | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/async_gsm8k), [doc](https://modelscope.github.io/Trinity-RFT/en/main/tutorial/example_async_mode.html#) | | ||
HYLcool marked this conversation as resolved.
Outdated
Show resolved
Hide resolved
|
||
| | | Multi-Step GRPO | AgentScope ReAct agent training | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/agentscope_react), [doc](https://modelscope.github.io/Trinity-RFT/en/main/tutorial/example_react.html) | | ||
| | | AsymRE | Regular RFT | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/asymre_gsm8k) | | ||
| | | CISPO | Regular RFT | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/cispo_gsm8k) | | ||
| | | GRPO | Training with prioritized tasks | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_gsm8k_task_pipeline), [doc](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_gsm8k_task_pipeline) | | ||
HYLcool marked this conversation as resolved.
Outdated
Show resolved
Hide resolved
|
||
| | | GRPO | Training with reward reshaping on experiences | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_gsm8k_experience_pipeline), [doc](https://modelscope.github.io/Trinity-RFT/en/main/tutorial/example_data_functionalities.html#example-data-processor-for-experience-pipeline) | | ||
| | | GRPO | Training with RULER (Relative Universal LLM-Elicited Rewards) | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_gsm8k_ruler) | | ||
| | | GRPO | Training a policy model as its own reward model | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_gsm8k_trainable_ruler) | | ||
| | | GRPO | Training using LoRA | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_lora_gsm8k) | | ||
| | | OPMD | Off-policy RFT | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/opmd_gsm8k), [doc](https://modelscope.github.io/Trinity-RFT/en/main/tutorial/example_reasoning_advanced.html) | | ||
| | | REC | Training with group-relative reinforce variants | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/rec_gsm8k) | | ||
| | | sPPO | Training with sPPO algorithm | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/sppo_gsm8k) | | ||
HYLcool marked this conversation as resolved.
Outdated
Show resolved
Hide resolved
|
||
| | | TOPR | Tapered off-policy RFT | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/topr_gsm8k) | | ||
| | math | GRPO | Training with rewards from RM-Gallery | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_math) | | ||
HYLcool marked this conversation as resolved.
Outdated
Show resolved
Hide resolved
HYLcool marked this conversation as resolved.
Outdated
Show resolved
Hide resolved
|
||
| | | AsymRE | Regular RFT | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/asymre_math) | | ||
| | | MIX | Training with "expert" data generated by a more advanced LLM | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/mix_math), [doc](https://modelscope.github.io/Trinity-RFT/en/main/tutorial/example_mix_algo.html) | | ||
| | [open-r1/DAPO-Math-17k-Processed](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed) | GRPO | Regular RFT | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/dapo_math) | | ||
| | [LLM360/guru-RL-92k](https://huggingface.co/datasets/LLM360/guru-RL-92k) | GRPO | Training with bayesian online task selection | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/bots) | | ||
| | [callanwu/WebWalkerQA](https://huggingface.co/datasets/callanwu/WebWalkerQA) | Multi-Step GRPO | Multi-turn web search agent training | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/agentscope_websearch) | | ||
| | [ALFWorld](https://github.com/alfworld/alfworld) | GRPO | Concatenated multi-turn RFT | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_alfworld), [doc](https://modelscope.github.io/Trinity-RFT/en/main/tutorial/example_multi_turn.html) | | ||
HYLcool marked this conversation as resolved.
Outdated
Show resolved
Hide resolved
|
||
| | | Multi-Step GRPO | General multi-step RFT | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_alfworld_general_multi_step), [doc](https://modelscope.github.io/Trinity-RFT/en/main/tutorial/example_step_wise.html#) | | ||
HYLcool marked this conversation as resolved.
Outdated
Show resolved
Hide resolved
|
||
| | [corbt/enron-emails](https://huggingface.co/datasets/corbt/enron-emails) | Multi-Step GRPO | Multi-turn email search agent training | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_email_search), [doc](https://modelscope.github.io/Trinity-RFT/en/main/tutorial/example_search_email.html) | | ||
| | [Frozen Lake](https://gymnasium.farama.org/environments/toy_text/frozen_lake/) | GRPO | Concatenated multi-turn RFT | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_frozen_lake) | | ||
| | [anisha2102/RaR-Medicine](https://huggingface.co/datasets/anisha2102/RaR-Medicine) | GRPO | Training with rewards from LLM judge and rubrics for a non-verifiable medicine QA task | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_rubric_as_reward) | | ||
| | [SciWorld](https://github.com/allenai/ScienceWorld) | GRPO | Regular RFT | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_sciworld) | | ||
HYLcool marked this conversation as resolved.
Outdated
Show resolved
Hide resolved
|
||
| | [Team-ACE/ToolACE](https://huggingface.co/datasets/Team-ACE/ToolACE) | GRPO | Regular RFT for tool calling | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_toolcall) | | ||
| | [hiyouga/geometry3k](https://huggingface.co/datasets/hiyouga/geometry3k) | GRPO | Regular RFT for VLM | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_vlm) | | ||
| | | MIX | Training with "expert" data generated by a more advanced LLM | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/mix_vlm) | | ||
| | [WebShop](https://github.com/princeton-nlp/WebShop) | GRPO | Concatenated multi-turn RFT | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/grpo_webshop), [doc](https://modelscope.github.io/Trinity-RFT/en/main/tutorial/example_multi_turn.html) | | ||
| | [datajuicer/RealMedConv](https://huggingface.co/datasets/datajuicer/RealMedConv) | GRPO | Regular RFT for learning to ask in a proactive way | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/learn_to_ask) | | ||
| | [datajuicer/Trinity-ToolAce-RL-split](https://huggingface.co/datasets/datajuicer/Trinity-ToolAce-RL-split) | CHORD | Training with dynamic SFT + RL integration | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/mix_chord) | | ||
| | [datajuicer/Trinity-ToolAce-SFT-split](https://huggingface.co/datasets/datajuicer/Trinity-ToolAce-SFT-split) | CHORD | Training with dynamic SFT + RL integration | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/mix_chord) | | ||
| | [Jiayi-Pan/Countdown-Tasks-3to4](https://huggingface.co/datasets/Jiayi-Pan/Countdown-Tasks-3to4) | PPO | Training based on the critic model | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/ppo_countdown) | | ||
| | | PPO | Training with Megatron-LM as the backend. | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/ppo_countdown_megatron) | | ||
| | | PPO | Training with experience replay | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/ppo_countdown_exp_replay) | | ||
| | [open-r1/Mixture-of-Thoughts](https://huggingface.co/datasets/open-r1/Mixture-of-Thoughts) | SFT | Regular SFT | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/sft_mot), [doc](https://modelscope.github.io/Trinity-RFT/en/main/tutorial/example_dpo.html#configuration-for-sft) | | ||
| | [HumanLLMs/Human-Like-DPO-Dataset](https://huggingface.co/datasets/HumanLLMs/Human-Like-DPO-Dataset) | DPO | Training based on prepared human preferences | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/dpo_humanlike), [doc](https://modelscope.github.io/Trinity-RFT/en/main/tutorial/example_dpo.html) | | ||
| | toy dataset | DPO | Training based on human-in-the-loop preference annotation | [example](https://github.com/modelscope/Trinity-RFT/tree/main/examples/dpo_human_in_the_loop), [doc](https://modelscope.github.io/Trinity-RFT/en/main/tutorial/example_data_functionalities.html#example-human-in-the-loop) | | ||
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Uh oh!
There was an error while loading. Please reload this page.