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1bd4020
1
Parent(s):
dbfa15a
Fix multilingual langs
Browse files
app.py
CHANGED
@@ -136,7 +136,10 @@ def get_mteb_data(tasks=["Clustering"], langs=[], cast_to_str=True, task_to_metr
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# ],
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# },
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# Use "get" instead of dict indexing to skip incompat metadata instead of erroring out
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-
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out = [{res["dataset"]["name"].replace("MTEB ", ""): [round(score["value"], 2) for score in res["metrics"] if score["type"] == task_to_metric.get(res["task"]["type"])][0]} for res in task_results]
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#else:
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# Multilingual
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@@ -470,7 +473,7 @@ with block:
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block.load(get_mteb_data, inputs=[task_clustering], outputs=data_clustering)
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block.load(get_mteb_data, inputs=[task_retrieval], outputs=data_retrieval)
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block.load(get_mteb_data, inputs=[task_reranking], outputs=data_reranking)
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-
block.load(get_mteb_data, inputs=[task_sts_en], outputs=data_sts_en)
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block.load(get_mteb_data, inputs=[task_sts], outputs=data_sts)
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block.load(get_mteb_data, inputs=[task_summarization], outputs=data_summarization)
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@@ -485,3 +488,4 @@ block.launch()
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# Sources:
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# https://huggingface.co/spaces/gradio/leaderboard
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# https://huggingface.co/spaces/huggingface-projects/Deep-Reinforcement-Learning-Leaderboard
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# ],
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# },
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# Use "get" instead of dict indexing to skip incompat metadata instead of erroring out
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if langs:
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task_results = [sub_res for sub_res in meta["model-index"][0]["results"] if (sub_res.get("task", {}).get("type", "") in tasks) and (sub_res.get("dataset", {}).get("config", "default") in ("default", *langs))]
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else:
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task_results = [sub_res for sub_res in meta["model-index"][0]["results"] if (sub_res.get("task", {}).get("type", "") in tasks)]
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out = [{res["dataset"]["name"].replace("MTEB ", ""): [round(score["value"], 2) for score in res["metrics"] if score["type"] == task_to_metric.get(res["task"]["type"])][0]} for res in task_results]
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#else:
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# Multilingual
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block.load(get_mteb_data, inputs=[task_clustering], outputs=data_clustering)
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block.load(get_mteb_data, inputs=[task_retrieval], outputs=data_retrieval)
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block.load(get_mteb_data, inputs=[task_reranking], outputs=data_reranking)
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block.load(get_mteb_data, inputs=[task_sts_en, lang_sts_en], outputs=data_sts_en)
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block.load(get_mteb_data, inputs=[task_sts], outputs=data_sts)
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block.load(get_mteb_data, inputs=[task_summarization], outputs=data_summarization)
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# Sources:
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# https://huggingface.co/spaces/gradio/leaderboard
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# https://huggingface.co/spaces/huggingface-projects/Deep-Reinforcement-Learning-Leaderboard
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# https://getemoji.com/
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