PubChemSFT / README.md
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---
license: mit
task_categories:
- question-answering
language:
- en
---
* `all_clean.json`
* remove overlapped parts with ChEBI-20 test
* remove no description SMILES
* Format:
```python
{
SMILES <str>:
[
["Please describe the molecule", DESCRIPTION],
...,
]
}
```
* Stats
* max tokens length: 6113
* min tokens length: 20
* mean tokens length: 191
* median tokens length: 149
* Total 326,689 single turn dialogue. Total 293,302 SMILES examples.
* Size: \
Train: 264,391 \
Valid: 33,072 \
Test: 32,987
* conversation template
```python
'conversation':{
[
"from": "human",
"value": <QUERY>, # randomly sample from query templates,
],
[
"from": "gpt",
"value": <TEXT>, # description about the given molecule
],
}
```
* Each entry in the pickle contains:
```
"graph":
[
"edge_index":, # array like (int64)
"edge_feat":, # array like (int64)
"node_feat":, # array like (int64)
"num_nodes":, # int
],
"conversation:: # see above
```
* 14 query templates
```python
# bear me, we still use <image> token instead of somewhat <molecule> token
{
'<image>\nCould you give me a brief overview of this molecule?',
'<image>\nCould you provide a description of this molecule?',
'<image>\nDescribe this molecule.',
'<image>\nPlease give me some details about this molecule.',
'<image>\nProvide a brief overview of this molecule.',
'<image>\nProvide a description of this molecule.',
'<image>\nWhat can you tell me about this molecule?',
'Could you give me a brief overview of this molecule?\n<image>',
'Could you provide a description of this molecule?\n<image>',
'Describe this molecule.\n<image>',
'Please give me some details about this molecule.\n<image>',
'Provide a brief overview of this molecule.\n<image>',
'Provide a description of this molecule.\n<image>',
'What can you tell me about this molecule?\n<image>'
}
```