| --- |
| dataset_info: |
| features: |
| - name: conversations |
| list: |
| - name: from |
| dtype: string |
| - name: value |
| dtype: string |
| - name: source |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 2951380166 |
| num_examples: 1420909 |
| download_size: 1483360321 |
| dataset_size: 2951380166 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: apache-2.0 |
| --- |
| |
|  |
|
|
| # 🎨 Open-PerfectBlend |
|
|
| Open-PerfectBlend is an open-source reproduction of the instruction dataset introduced in the paper ["The Perfect Blend: Redefining RLHF with Mixture of Judges"](https://arxiv.org/abs/2409.20370). |
| It's a solid general-purpose instruction dataset with chat, math, code, and instruction-following data. |
|
|
| ## Data source |
|
|
|  |
|
|
| Here is the list of the datasets used in this mix: |
|
|
| | Dataset | # Samples | |
| |------|------| |
| | [meta-math/MetaMathQA](https://huggingface.co/datasets/meta-math/MetaMathQA) | 395,000 | |
| | [openbmb/UltraInteract_sft](https://huggingface.co/datasets/openbmb/UltraInteract_sft) | 288,579 | |
| | [HuggingFaceH4/ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) | 207,865 | |
| | [microsoft/orca-math-word-problems-200k](https://huggingface.co/datasets/microsoft/orca-math-word-problems-200k) | 200,035 | |
| | [HuggingFaceH4/ultrafeedback_binarized](https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized) | 187,405 | |
| | [theblackcat102/evol-codealpaca-v1](https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1) | 111,272 | |
| | [Post-training-Data-Flywheel/AutoIF-instruct-61k](https://huggingface.co/datasets/Post-training-Data-Flywheel/AutoIF-instruct-61k) | 61,492 | |
| | [mlabonne/lmsys-arena-human-preference-55k-sharegpt](https://huggingface.co/datasets/mlabonne/lmsys-arena-human-preference-55k-sharegpt) | 57,362 | |
|
|
| The deduplication process removed 88.1k samples across all datasets. All of these datasets use either an Apache 2.0 or MIT license. |
|
|
| Thanks to OpenBMB, MetaMath, Hugging Face, Microsoft, theblackcat102, Post-training-Data-Flywheel, and LMSYS for the data! |
|
|
| ## Comparison |
|
|
| Here is the extract from the paper with the dataset mixture: |
|
|
|  |
|
|
| There are two main differences with the dataset described in the paper: |
|
|
| * Instruction-following data comes from another source because Meta didn't release their dataset. |
| * The harmful intent hasn't been released either, so I didn't add any data in this category. |
