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[update] readme

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jingyaogong 2026-02-05 00:23:20 +08:00
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README.md
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@ -212,12 +212,12 @@ print(torch.cuda.is_available())
Pretrain数据： Pretrain数据：
```bash ```bash
wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/pretrain_data.parquet wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/pretrain_i2t.parquet
``` ```
SFT数据： SFT数据：
```bash ```bash
wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/sft_data.parquet wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/sft_i2t.parquet
``` ```
建议预留~2GB空间存放数据集，若无多余空间存放pretrain数据，可尝试跳过pretrain训练步骤直接进行sft训练。 建议预留~2GB空间存放数据集，若无多余空间存放pretrain数据，可尝试跳过pretrain训练步骤直接进行sft训练。

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README_en.md
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@ -220,12 +220,12 @@ and place it under `./dataset`.
Pretrain data: Pretrain data:
```bash ```bash
wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/pretrain_data.parquet wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/pretrain_i2t.parquet
``` ```
SFT data: SFT data:
```bash ```bash
wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/sft_data.parquet wget https://hf-mirror.com/datasets/jingyaogong/minimind-v_dataset/resolve/main/sft_i2t.parquet
``` ```
Please reserve about ~2GB of space for the dataset. If there is insufficient space for pretrain data, you can try skipping the pretrain training step and proceed directly to SFT training. Please reserve about ~2GB of space for the dataset. If there is insufficient space for pretrain data, you can try skipping the pretrain training step and proceed directly to SFT training.