leonard-dls
commited on
Commit
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caa4a26
1
Parent(s):
3e7569f
small fix
Browse files
app.py
CHANGED
@@ -8,6 +8,13 @@ file_path = "filtered_big_gsm8k_output.jsonl"
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similarity_threshold = 0.85
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current_index = 0
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def find_similar_chunks(original, output):
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matcher = SequenceMatcher(None, original, output)
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@@ -41,6 +48,11 @@ def next_example():
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)
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with gr.Blocks() as demo:
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prompt = gr.Textbox(
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label="Prompt",
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interactive=False,
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similarity_threshold = 0.85
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current_index = 0
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description_text = """
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This Space is inspired by [Luis Hunt's](https://www.linkedin.com/posts/louiswhunt_see-below-for-6882-pages-of-mmlu-and-gsm8k-activity-7281011488692047872-fWCE?utm_source=share&utm_medium=member_desktop) post.
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He highlights how current top performing models from major vendors are contaminated with benchmark data that is supposed to be used to assess their performance.
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This space aims to partially reproduce this work. I chose to look at the contamination of **Qwen/Qwen2.5-14B** by **GSM8K** dataset.
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"""
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def find_similar_chunks(original, output):
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matcher = SequenceMatcher(None, original, output)
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)
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown(description_text)
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with gr.Column(scale=1):
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pass
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prompt = gr.Textbox(
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label="Prompt",
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interactive=False,
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