Update readme.py

readme.py

@@ -21,22 +21,9 @@ bib = """
 
 def get_readme(model_name: str,
                metric: Dict,
-               config: Dict):
+               config: Dict,
+               extra_desc: str = ''):
     language_model = config['model']
-    dataset = None
-    dataset_alias = "custom"
-    if config["dataset"] is not None:
-        dataset = sorted([i for i in config["dataset"]])
-        dataset_alias = ','.join(dataset)
-    config_text = "\n".join([f" - {k}: {v}" for k, v in config.items()])
-    ci_micro = '\n'.join([f'    - {k}%: {v}' for k, v in metric["micro/f1_ci"].items()])
-    ci_macro = '\n'.join([f'    - {k}%: {v}' for k, v in metric["micro/f1_ci"].items()])
-    per_entity_metric = '\n'.join([f'- {k}: {v["f1"]}' for k, v in metric['per_entity_metric'].items()])
-    if dataset is None:
-        dataset_link = 'custom'
-    else:
-        dataset = [dataset] if type(dataset) is str else dataset
-        dataset_link = ','.join([f"[{d}](https://huggingface.co/datasets/{d})" for d in dataset])
     return f"""---
 datasets:
 - cardiffnlp/tweet_topic_multi
@@ -73,7 +60,8 @@ widget:
 ---
 # {model_name}
 
-This model is a fine-tuned version of [{language_model}](https://huggingface.co/{language_model}) on the [tweet_topic_multi](https://huggingface.co/datasets/cardiffnlp/tweet_topic_multi). Fine-tuning script can be found [here](https://huggingface.co/datasets/cardiffnlp/tweet_topic_multi/blob/main/lm_finetuning.py). It achieves the following results on the test_2021 set:
+This model is a fine-tuned version of [{language_model}](https://huggingface.co/{language_model}) on the [tweet_topic_multi](https://huggingface.co/datasets/cardiffnlp/tweet_topic_multi). {extra_desc}
+Fine-tuning script can be found [here](https://huggingface.co/datasets/cardiffnlp/tweet_topic_multi/blob/main/lm_finetuning.py). It achieves the following results on the test_2021 set:
 
 - F1 (micro): {metric['test/eval_f1']}
 - F1 (macro): {metric['test/eval_f1_macro']}