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remove unused pretrain set in the finetune readme

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Deyao Zhu 2023-10-23 21:49:33 +03:00
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dataset/README_MINIGPTv2_FINETUNE.md
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@ -84,110 +84,3 @@ detail_23k.json, and complex_reasoning_77k.json in conversation.yaml, detail.yam
### Multi-task conversation
### Unnatural instruction
### Pre-training datasets download:
We use the filtered synthetic captions prepared by BLIP. For more details about the dataset, please refer to [BLIP](https://github.com/salesforce/BLIP).
It requires ~2.3T to store LAION and CC3M+CC12M+SBU datasets
Image source | Filtered synthetic caption by ViT-L
--- | :---:
CC3M+CC12M+SBU | <a href="https://storage.googleapis.com/sfr-vision-language-research/BLIP/datasets/ccs_synthetic_filtered_large.json">Download</a>
LAION115M | <a href="https://storage.googleapis.com/sfr-vision-language-research/BLIP/datasets/laion_synthetic_filtered_large.json">Download</a>
This will download two json files
```
ccs_synthetic_filtered_large.json
laion_synthetic_filtered_large.json
```
## prepare the data step-by-step
### setup the dataset folder and move the annotation file to the data storage folder
```
export MINIGPT4_DATASET=/YOUR/PATH/FOR/LARGE/DATASET/
mkdir ${MINIGPT4_DATASET}/cc_sbu
mkdir ${MINIGPT4_DATASET}/laion
mv ccs_synthetic_filtered_large.json ${MINIGPT4_DATASET}/cc_sbu
mv laion_synthetic_filtered_large.json ${MINIGPT4_DATASET}/laion
```
### Convert the scripts to data storate folder
```
cp convert_cc_sbu.py ${MINIGPT4_DATASET}/cc_sbu
cp download_cc_sbu.sh ${MINIGPT4_DATASET}/cc_sbu
cp convert_laion.py ${MINIGPT4_DATASET}/laion
cp download_laion.sh ${MINIGPT4_DATASET}/laion
```
### Convert the laion and cc_sbu annotation file format to be img2dataset format
```
cd ${MINIGPT4_DATASET}/cc_sbu
python convert_cc_sbu.py
cd ${MINIGPT4_DATASET}/laion
python convert_laion.py
```
### Download the datasets with img2dataset
```
cd ${MINIGPT4_DATASET}/cc_sbu
sh download_cc_sbu.sh
cd ${MINIGPT4_DATASET}/laion
sh download_laion.sh
```
The final dataset structure
```
.
├── ${MINIGPT4_DATASET}
│ ├── cc_sbu
│ ├── convert_cc_sbu.py
│ ├── download_cc_sbu.sh
│ ├── ccs_synthetic_filtered_large.json
│ ├── ccs_synthetic_filtered_large.tsv
│ └── cc_sbu_dataset
│ ├── 00000.tar
│ ├── 00000.parquet
│ ...
│ ├── laion
│ ├── convert_laion.py
│ ├── download_laion.sh
│ ├── laion_synthetic_filtered_large.json
│ ├── laion_synthetic_filtered_large.tsv
│ └── laion_dataset
│ ├── 00000.tar
│ ├── 00000.parquet
│ ...
...
```
## Set up the dataset configuration files
Then, set up the LAION dataset loading path in
[here](../minigpt4/configs/datasets/laion/defaults.yaml#L5) at Line 5 as
${MINIGPT4_DATASET}/laion/laion_dataset/{00000..10488}.tar
and the Conceptual Captoin and SBU datasets loading path in
[here](../minigpt4/configs/datasets/cc_sbu/defaults.yaml#L5) at Line 5 as
${MINIGPT4_DATASET}/cc_sbu/cc_sbu_dataset/{00000..01255}.tar