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Browse files- EXTERNAL_MODEL_RESULTS.json +0 -0
- app.py +7 -7
EXTERNAL_MODEL_RESULTS.json
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app.py
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@@ -2100,17 +2100,17 @@ with block:
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- **Credits:** [FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding)
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""")
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with gr.Row():
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-
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-
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# Add support for more columns than existing as a buffer for CQADupstack & other Retrieval tasks (e.g. MSMARCOv2)
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-
datatype=["number", "markdown"] + ["number"] * len(
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type="pandas",
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)
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with gr.Row():
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-
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-
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partial(get_mteb_data, tasks=["Retrieval"], datasets=
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-
outputs=
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)
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with gr.TabItem("French"):
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with gr.Row():
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- **Credits:** [FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding)
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""")
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with gr.Row():
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data_retrieval_zh = gr.components.Dataframe(
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DATA_RETRIEVAL_ZH,
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# Add support for more columns than existing as a buffer for CQADupstack & other Retrieval tasks (e.g. MSMARCOv2)
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+
datatype=["number", "markdown"] + ["number"] * len(DATA_RETRIEVAL_ZH.columns) * 2,
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type="pandas",
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)
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with gr.Row():
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data_run_retrieval_zh = gr.Button("Refresh")
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data_run_retrieval_zh.click(
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partial(get_mteb_data, tasks=["Retrieval"], datasets=TASK_LIST_RETRIEVAL_ZH),
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outputs=data_retrieval_zh,
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)
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with gr.TabItem("French"):
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with gr.Row():
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