Update README.md
Browse files
README.md
CHANGED
@@ -102,6 +102,12 @@ Please refer to the [blog](https://blog.salesforceairesearch.com/codegen25) for
|
|
102 |
As an autoregressive language model, CodeGen2.5 is capable of extracting features from given natural language and programming language texts, and calculating the likelihood of them.
|
103 |
However, the model is intended for and best at **program synthesis**, that is, generating executable code given English prompts, where the prompts should be in the form of a comment string. The model can complete partially-generated code as well.
|
104 |
|
|
|
|
|
|
|
|
|
|
|
|
|
105 |
## BibTeX entry and citation info
|
106 |
|
107 |
Please cite CodeGen2 paper:
|
|
|
102 |
As an autoregressive language model, CodeGen2.5 is capable of extracting features from given natural language and programming language texts, and calculating the likelihood of them.
|
103 |
However, the model is intended for and best at **program synthesis**, that is, generating executable code given English prompts, where the prompts should be in the form of a comment string. The model can complete partially-generated code as well.
|
104 |
|
105 |
+
## Attribution & Other Requirements
|
106 |
+
The pretraining dataset of the model was filtered for permissive licenses only.
|
107 |
+
Nevertheless, the model can generate source code verbatim from the dataset.
|
108 |
+
The code's license might require attribution and/or other specific requirements that must be respected.
|
109 |
+
The data provider BigCode provides a [search index](https://huggingface.co/spaces/bigcode/starcoder-search) that lets you search through the pretraining data to identify where generated code came from and apply the proper attribution to your code.
|
110 |
+
|
111 |
## BibTeX entry and citation info
|
112 |
|
113 |
Please cite CodeGen2 paper:
|