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app.py
CHANGED
@@ -2204,12 +2204,9 @@ block = gr.Blocks(theme='rottenlittlecreature/Moon_Goblin')
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with block:
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gr.Markdown(f"""
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### SeaEval Leaderboard. To submit, refer to the <a href="https://seaeval.github.io/" target="_blank" style="text-decoration: underline">SeaEval Website</a>. Refer to the [SeaEval paper](https://arxiv.org/abs/2309.04766) for details on metrics, tasks and models.
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-
- **Number of Datasets**: > 30
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-
- **Number of Languages**: > 8
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-
- **Number of Models**: {NUM_MODELS}
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-
- **Mode of Evaluation**: Zero-Shot, Five-Shot
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-
###
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- For base models, the output of base model is not truncated as no EOS detected. Evaluation could be affected, especially with length-aware metrics.
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### The following table shows the performance of the models on the SeaEval benchmark.
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@@ -2261,7 +2258,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**Cross-XQUAD Leaderboard** ๐ฎ
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-
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- **Metric:** Cross-Lingual Consistency, Accuracy, AC3
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- **Languages:** English, Chinese, Spanish, Vietnamese
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""")
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@@ -2305,7 +2301,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**Cross-MMLU Leaderboard** ๐ฎ
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-
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- **Metric:** Cross-Lingual Consistency, Accuracy, AC3
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- **Languages:** English, Chinese, Malay, Indonesian, Spanish, Vietnamese, Filipino
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""")
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@@ -2347,7 +2342,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**Cross-LogiQA Leaderboard** ๐ฎ
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-
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- **Metric:** Cross-Lingual Consistency, Accuracy, AC3
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- **Languages:** English, Chinese, Malay, Indonesian, Spanish, Vietnamese, Filipino
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""")
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@@ -2377,7 +2371,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**SG_EVAL Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy
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- **Languages:** English
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""")
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@@ -2406,7 +2399,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**US_EVAL Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy
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- **Languages:** English
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""")
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@@ -2434,7 +2426,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**CN_EVAL Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy
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- **Languages:** Chinese
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""")
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@@ -2461,7 +2452,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**PH_EVAL Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy
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- **Languages:** English
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""")
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@@ -2488,7 +2478,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**SING2ENG Leaderboard** ๐ฎ
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-
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- **Metric:** BLEU Avg.
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- **Languages:** English
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""")
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with gr.Row():
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gr.Markdown("""
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**MMLU Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** English
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""")
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@@ -2546,7 +2534,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**MMLU Full Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** English
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""")
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@@ -2574,7 +2561,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**C_EVAL Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** Chinese
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""")
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@@ -2602,7 +2588,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**C_EVAL Full Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** Chinese
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""")
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with gr.Row():
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gr.Markdown("""
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**CMMLU Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** Chinese
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""")
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with gr.Row():
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gr.Markdown("""
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**CMMLU Full Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** Chinese
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""")
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with gr.Row():
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gr.Markdown("""
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**ZBench Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** Chinese
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""")
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@@ -2710,7 +2692,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**IndoMMLU Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** Bahasa Indonesian
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""")
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@@ -2740,7 +2721,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**flores_ind2eng Leaderboard** ๐ฎ
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-
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- **Metric:** BLEU Avg.
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- **Languages:** English
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""")
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@@ -2767,7 +2747,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**flores_vie2eng Leaderboard** ๐ฎ
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-
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- **Metric:** BLEU Avg.
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- **Languages:** English
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""")
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@@ -2795,7 +2774,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**flores_zho2eng Leaderboard** ๐ฎ
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-
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- **Metric:** BLEU Avg.
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- **Languages:** English
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""")
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@@ -2822,7 +2800,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**flores_zsm2eng Leaderboard** ๐ฎ
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-
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- **Metric:** BLEU Avg.
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- **Languages:** English
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""")
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)
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with gr.Row():
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gr.Markdown("""
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-
**
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-
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- **Metric:** Accuracy.
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- **Languages:** Indonesian
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""")
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with gr.Row():
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gr.Markdown("""
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**SST2 Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** English
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""")
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with gr.Row():
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gr.Markdown("""
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**DREAM Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** English
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""")
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@@ -2935,7 +2909,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**SAMSum Leaderboard** ๐ฎ
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-
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- **Metric:** ROUGE.
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- **Languages:** English
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""")
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@@ -2962,7 +2935,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**DialogSum Leaderboard** ๐ฎ
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-
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- **Metric:** ROUGE.
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- **Languages:** English
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""")
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@@ -2993,7 +2965,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**OCNLI Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** Chinese
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""")
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@@ -3020,7 +2991,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**C3 Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** Chinese
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""")
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@@ -3049,7 +3019,6 @@ with block:
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with gr.Row():
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gr.Markdown("""
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**COLA Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** English
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""")
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with gr.Row():
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gr.Markdown("""
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**QQP Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** English
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""")
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with gr.Row():
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gr.Markdown("""
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**MNLI Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** English
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""")
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with gr.Row():
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gr.Markdown("""
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**QNLI Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** English
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""")
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with gr.Row():
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gr.Markdown("""
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**WNLI Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** English
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""")
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with gr.Row():
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gr.Markdown("""
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**RTE Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** English
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""")
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-
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-
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# dataset
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with gr.TabItem("MRPC"):
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with gr.TabItem("Zero Shot"):
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with gr.Row():
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gr.Markdown("""
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**MRPC Leaderboard** ๐ฎ
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-
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- **Metric:** Accuracy.
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- **Languages:** English
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""")
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-
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gr.Markdown(r"""
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### If our datasets and leaderboard are useful, please consider cite:
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```bibtex
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with block:
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gr.Markdown(f"""
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### SeaEval Leaderboard. To submit, refer to the <a href="https://seaeval.github.io/" target="_blank" style="text-decoration: underline">SeaEval Website</a>. Refer to the [SeaEval paper](https://arxiv.org/abs/2309.04766) for details on metrics, tasks and models.
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+
- **Number of Datasets**: > 30, **Number of Languages**: > 8, **Number of Models**: {NUM_MODELS}, **Mode of Evaluation**: Zero-Shot, Five-Shot
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|
|
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|
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+
### Possible Issues:
|
2210 |
- For base models, the output of base model is not truncated as no EOS detected. Evaluation could be affected, especially with length-aware metrics.
|
2211 |
|
2212 |
### The following table shows the performance of the models on the SeaEval benchmark.
|
|
|
2258 |
with gr.Row():
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gr.Markdown("""
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**Cross-XQUAD Leaderboard** ๐ฎ
|
|
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2261 |
- **Metric:** Cross-Lingual Consistency, Accuracy, AC3
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2262 |
- **Languages:** English, Chinese, Spanish, Vietnamese
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2263 |
""")
|
|
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with gr.Row():
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gr.Markdown("""
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**Cross-MMLU Leaderboard** ๐ฎ
|
|
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2304 |
- **Metric:** Cross-Lingual Consistency, Accuracy, AC3
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2305 |
- **Languages:** English, Chinese, Malay, Indonesian, Spanish, Vietnamese, Filipino
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2306 |
""")
|
|
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with gr.Row():
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gr.Markdown("""
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**Cross-LogiQA Leaderboard** ๐ฎ
|
|
|
2345 |
- **Metric:** Cross-Lingual Consistency, Accuracy, AC3
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2346 |
- **Languages:** English, Chinese, Malay, Indonesian, Spanish, Vietnamese, Filipino
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2347 |
""")
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|
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with gr.Row():
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gr.Markdown("""
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**SG_EVAL Leaderboard** ๐ฎ
|
|
|
2374 |
- **Metric:** Accuracy
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2375 |
- **Languages:** English
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2376 |
""")
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|
|
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with gr.Row():
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gr.Markdown("""
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**US_EVAL Leaderboard** ๐ฎ
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|
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- **Metric:** Accuracy
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2403 |
- **Languages:** English
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2404 |
""")
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|
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with gr.Row():
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gr.Markdown("""
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2428 |
**CN_EVAL Leaderboard** ๐ฎ
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|
|
2429 |
- **Metric:** Accuracy
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2430 |
- **Languages:** Chinese
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2431 |
""")
|
|
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with gr.Row():
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gr.Markdown("""
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**PH_EVAL Leaderboard** ๐ฎ
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|
|
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- **Metric:** Accuracy
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2456 |
- **Languages:** English
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2457 |
""")
|
|
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with gr.Row():
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gr.Markdown("""
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**SING2ENG Leaderboard** ๐ฎ
|
|
|
2481 |
- **Metric:** BLEU Avg.
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2482 |
- **Languages:** English
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2483 |
""")
|
|
|
2507 |
with gr.Row():
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gr.Markdown("""
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2509 |
**MMLU Leaderboard** ๐ฎ
|
|
|
2510 |
- **Metric:** Accuracy.
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2511 |
- **Languages:** English
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2512 |
""")
|
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2534 |
with gr.Row():
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2535 |
gr.Markdown("""
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**MMLU Full Leaderboard** ๐ฎ
|
|
|
2537 |
- **Metric:** Accuracy.
|
2538 |
- **Languages:** English
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2539 |
""")
|
|
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2561 |
with gr.Row():
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gr.Markdown("""
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2563 |
**C_EVAL Leaderboard** ๐ฎ
|
|
|
2564 |
- **Metric:** Accuracy.
|
2565 |
- **Languages:** Chinese
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2566 |
""")
|
|
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with gr.Row():
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gr.Markdown("""
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**C_EVAL Full Leaderboard** ๐ฎ
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|
|
2591 |
- **Metric:** Accuracy.
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2592 |
- **Languages:** Chinese
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2593 |
""")
|
|
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2614 |
with gr.Row():
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gr.Markdown("""
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2616 |
**CMMLU Leaderboard** ๐ฎ
|
|
|
2617 |
- **Metric:** Accuracy.
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2618 |
- **Languages:** Chinese
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2619 |
""")
|
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with gr.Row():
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gr.Markdown("""
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2643 |
**CMMLU Full Leaderboard** ๐ฎ
|
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|
2644 |
- **Metric:** Accuracy.
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2645 |
- **Languages:** Chinese
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2646 |
""")
|
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|
2667 |
with gr.Row():
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gr.Markdown("""
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2669 |
**ZBench Leaderboard** ๐ฎ
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|
2670 |
- **Metric:** Accuracy.
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2671 |
- **Languages:** Chinese
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2672 |
""")
|
|
|
2692 |
with gr.Row():
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2693 |
gr.Markdown("""
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**IndoMMLU Leaderboard** ๐ฎ
|
|
|
2695 |
- **Metric:** Accuracy.
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2696 |
- **Languages:** Bahasa Indonesian
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2697 |
""")
|
|
|
2721 |
with gr.Row():
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gr.Markdown("""
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**flores_ind2eng Leaderboard** ๐ฎ
|
|
|
2724 |
- **Metric:** BLEU Avg.
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2725 |
- **Languages:** English
|
2726 |
""")
|
|
|
2747 |
with gr.Row():
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gr.Markdown("""
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**flores_vie2eng Leaderboard** ๐ฎ
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|
|
2750 |
- **Metric:** BLEU Avg.
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2751 |
- **Languages:** English
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2752 |
""")
|
|
|
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with gr.Row():
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gr.Markdown("""
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**flores_zho2eng Leaderboard** ๐ฎ
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|
|
2777 |
- **Metric:** BLEU Avg.
|
2778 |
- **Languages:** English
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2779 |
""")
|
|
|
2800 |
with gr.Row():
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gr.Markdown("""
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**flores_zsm2eng Leaderboard** ๐ฎ
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|
2803 |
- **Metric:** BLEU Avg.
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2804 |
- **Languages:** English
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2805 |
""")
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)
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with gr.Row():
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gr.Markdown("""
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+
**Ind_emotion Leaderboard** ๐ฎ
|
|
|
2831 |
- **Metric:** Accuracy.
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2832 |
- **Languages:** Indonesian
|
2833 |
""")
|
|
|
2854 |
with gr.Row():
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gr.Markdown("""
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**SST2 Leaderboard** ๐ฎ
|
|
|
2857 |
- **Metric:** Accuracy.
|
2858 |
- **Languages:** English
|
2859 |
""")
|
|
|
2884 |
with gr.Row():
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gr.Markdown("""
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**DREAM Leaderboard** ๐ฎ
|
|
|
2887 |
- **Metric:** Accuracy.
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2888 |
- **Languages:** English
|
2889 |
""")
|
|
|
2909 |
with gr.Row():
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2910 |
gr.Markdown("""
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**SAMSum Leaderboard** ๐ฎ
|
|
|
2912 |
- **Metric:** ROUGE.
|
2913 |
- **Languages:** English
|
2914 |
""")
|
|
|
2935 |
with gr.Row():
|
2936 |
gr.Markdown("""
|
2937 |
**DialogSum Leaderboard** ๐ฎ
|
|
|
2938 |
- **Metric:** ROUGE.
|
2939 |
- **Languages:** English
|
2940 |
""")
|
|
|
2965 |
with gr.Row():
|
2966 |
gr.Markdown("""
|
2967 |
**OCNLI Leaderboard** ๐ฎ
|
|
|
2968 |
- **Metric:** Accuracy.
|
2969 |
- **Languages:** Chinese
|
2970 |
""")
|
|
|
2991 |
with gr.Row():
|
2992 |
gr.Markdown("""
|
2993 |
**C3 Leaderboard** ๐ฎ
|
|
|
2994 |
- **Metric:** Accuracy.
|
2995 |
- **Languages:** Chinese
|
2996 |
""")
|
|
|
3019 |
with gr.Row():
|
3020 |
gr.Markdown("""
|
3021 |
**COLA Leaderboard** ๐ฎ
|
|
|
3022 |
- **Metric:** Accuracy.
|
3023 |
- **Languages:** English
|
3024 |
""")
|
|
|
3045 |
with gr.Row():
|
3046 |
gr.Markdown("""
|
3047 |
**QQP Leaderboard** ๐ฎ
|
|
|
3048 |
- **Metric:** Accuracy.
|
3049 |
- **Languages:** English
|
3050 |
""")
|
|
|
3071 |
with gr.Row():
|
3072 |
gr.Markdown("""
|
3073 |
**MNLI Leaderboard** ๐ฎ
|
|
|
3074 |
- **Metric:** Accuracy.
|
3075 |
- **Languages:** English
|
3076 |
""")
|
|
|
3097 |
with gr.Row():
|
3098 |
gr.Markdown("""
|
3099 |
**QNLI Leaderboard** ๐ฎ
|
|
|
3100 |
- **Metric:** Accuracy.
|
3101 |
- **Languages:** English
|
3102 |
""")
|
|
|
3124 |
with gr.Row():
|
3125 |
gr.Markdown("""
|
3126 |
**WNLI Leaderboard** ๐ฎ
|
|
|
3127 |
- **Metric:** Accuracy.
|
3128 |
- **Languages:** English
|
3129 |
""")
|
|
|
3151 |
with gr.Row():
|
3152 |
gr.Markdown("""
|
3153 |
**RTE Leaderboard** ๐ฎ
|
|
|
3154 |
- **Metric:** Accuracy.
|
3155 |
- **Languages:** English
|
3156 |
""")
|
3157 |
|
|
|
|
|
3158 |
# dataset
|
3159 |
with gr.TabItem("MRPC"):
|
3160 |
with gr.TabItem("Zero Shot"):
|
|
|
3176 |
with gr.Row():
|
3177 |
gr.Markdown("""
|
3178 |
**MRPC Leaderboard** ๐ฎ
|
|
|
3179 |
- **Metric:** Accuracy.
|
3180 |
- **Languages:** English
|
3181 |
""")
|
3182 |
|
|
|
3183 |
gr.Markdown(r"""
|
3184 |
### If our datasets and leaderboard are useful, please consider cite:
|
3185 |
```bibtex
|