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tum-nlp/IDMGSP-Galactica-TRAIN
IDMGSP-Galactica-TRAIN is a text classification model from tum-nlp. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as openrail++.
A fine-tuned Galactica model to detect machine-generated scientific papers based on their abstract, introduction, and conclusion.
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From the Hugging Face model README
A fine-tuned Galactica model to detect machine-generated scientific papers based on their abstract, introduction, and conclusion.
This model is trained on the train dataset found in https://huggingface.co/datasets/tum-nlp/IDMGSP.
from transformers import AutoTokenizer, OPTForSequenceClassification, pipeline
model = OPTForSequenceClassification.from_pretrained("tum-nlp/IDMGSP-Galactica-TRAIN")
tokenizer = AutoTokenizer.from_pretrained("tum-nlp/IDMGSP-Galactica-TRAIN")
reader = pipeline("text-classification", model=model, tokenizer = tokenizer)
reader(
'''
Abstract:
....
Introduction:
....
Conclusion:
...'''
)
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The training dataset comprises scientific papers generated by the Galactica, GPT-2, SCIgen, and ChatGPT models, as well as papers extracted from the arXiv database.
The provided table displays the sample counts from each source utilized in constructing the training dataset. The dataset could be found in https://huggingface.co/datasets/tum-nlp/IDMGSP.
| Dataset | arXiv (real) | ChatGPT (fake) | GPT-2 (fake) | SCIgen (fake) | Galactica (fake) | GPT-3 (fake) |
|---|---|---|---|---|---|---|
| Standard train (TRAIN) | 8k | 2k | 2k | 2k | 2k | - |
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APA:
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