update
Browse files- app.py +30 -23
- src/results/models_2024-10-07-14:50:12.666068.jsonl +0 -677
- src/results/models_2024-10-08-03:10:26.811832.jsonl +0 -1770
- src/results/models_2024-10-08-03:25:44.801310.jsonl +0 -2082
- src/results/models_2024-10-08-17:39:21.001582.jsonl +0 -2082
- src/results/models_2024-10-09-05:17:38.810960.json +0 -2327
- src/results/models_2024-10-09-06:22:21.122422.json +0 -2372
- src/results/models_2024-10-10-06:18:54.263527.json +0 -2622
- src/results/models_2024-10-18-14:06:13.588399.json +0 -2732
- src/results/{models_2024-10-20-23:34:57.242641.json → models_2024-10-24-08:08:59.127307.json} +0 -0
app.py
CHANGED
@@ -99,15 +99,8 @@ def init_leaderboard(dataframe):
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interactive=False,
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)
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# model_result_path = "./src/results/models_2024-10-
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-
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# model_result_path = "./src/results/models_2024-10-08-03:25:44.801310.jsonl"
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# model_result_path = "./src/results/models_2024-10-08-17:39:21.001582.jsonl"
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# model_result_path = "./src/results/models_2024-10-09-05:17:38.810960.json"
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# model_result_path = "./src/results/models_2024-10-09-06:22:21.122422.json"
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# model_result_path = "./src/results/models_2024-10-10-06:18:54.263527.json"
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# model_result_path = "./src/results/models_2024-10-18-14:06:13.588399.json"
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model_result_path = "./src/results/models_2024-10-20-23:34:57.242641.json"
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# model_leaderboard_df = get_model_leaderboard_df(model_result_path)
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@@ -267,22 +260,36 @@ with demo:
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with gr.TabItem("🔢 Math", elem_id="math-tab-table", id=2):
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-
DESCRIPTION_TEXT="""
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-
Algebra, Geometry, and Probability are the current three main math domains in the leaderboard.
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To mitigate the potential impact of data contimination, we have carefully selected the datasets from various sources.
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We prioritize **recent math datasets** and focus on **college and beyond level** math questions.
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The current datasets include
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[MATH](https://arxiv.org/abs/2103.03874),
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[MATH-500](https://github.com/openai/prm800k/tree/main/prm800k/math_splits),
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[Omni](https://omni-math.github.io/),
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[MathQA](https://arxiv.org/abs/1905.13319),
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[MathBench](https://arxiv.org/abs/2405.12209),
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[SciBench](https://arxiv.org/abs/2307.10635), and more!
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We plan to include more math domains, such as calculus, number theory, and more in the future.
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-
"""
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-
gr.Markdown(DESCRIPTION_TEXT, elem_classes="markdown-text")
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# leaderboard = init_leaderboard(LEADERBOARD_DF)
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with gr.TabItem("🏆 Overview", elem_id="math_overview_subtab", id=0, elem_classes="subtab"):
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interactive=False,
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)
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+
# model_result_path = "./src/results/models_2024-10-20-23:34:57.242641.json"
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+
model_result_path = "./src/results/models_2024-10-24-08:08:59.127307.json"
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# model_leaderboard_df = get_model_leaderboard_df(model_result_path)
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with gr.TabItem("🔢 Math", elem_id="math-tab-table", id=2):
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+
# DESCRIPTION_TEXT="""
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+
# Algebra, Geometry, and Probability are the current three main math domains in the leaderboard.
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+
# To mitigate the potential impact of data contimination, we have carefully selected the datasets from various sources.
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+
# We prioritize **recent math datasets** and focus on **college and beyond level** math questions.
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+
# The current datasets include
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+
# [MATH](https://arxiv.org/abs/2103.03874),
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+
# [MATH-500](https://github.com/openai/prm800k/tree/main/prm800k/math_splits),
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+
# [Omni](https://omni-math.github.io/),
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+
# [MathQA](https://arxiv.org/abs/1905.13319),
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+
# [MathBench](https://arxiv.org/abs/2405.12209),
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+
# [SciBench](https://arxiv.org/abs/2307.10635), and more!
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+
# We plan to include more math domains, such as calculus, number theory, and more in the future.
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+
# """
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+
# gr.Markdown(DESCRIPTION_TEXT, elem_classes="markdown-text")
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+
TEXT = (
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f'<p style="font-size:{INTRODUCTION_TEXT_FONT_SIZE}px;">'
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+
'<b>Total #models: 57 (Last updated: 2024-10-21)</b>'
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+
'</p>'
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+
f'<p style="font-size:{INTRODUCTION_TEXT_FONT_SIZE}px;">'
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+
'This page prvovides a comprehensive overview of model ranks across various dimensions, based on their averaged ranks or scores.'
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+
'(Missing values are due to the slow or problemtic model responses to be fixed soom.)'
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+
'</p>'
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# '<p style="font-size:{INTRODUCTION_TEXT_FONT_SIZE}px;">'
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# 'We present '
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# '</p>'
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)
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gr.HTML(TEXT)
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+
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# leaderboard = init_leaderboard(LEADERBOARD_DF)
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with gr.TabItem("🏆 Overview", elem_id="math_overview_subtab", id=0, elem_classes="subtab"):
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src/results/models_2024-10-07-14:50:12.666068.jsonl
DELETED
@@ -1,677 +0,0 @@
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-
[
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{"config": {
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"model_name": "ChatGPT-4o-latest (2024-09-03)",
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-
"organization": "OpenAI",
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-
"license": "Proprietary",
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"knowledge_cutoff": "2023/10"
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-
},
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-
"results": {
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-
"math-algebra": {"Score": 99.19484702, "Avg Rank": 1.666666667, "Min Rank": 1, "Max Rank": 3},
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-
"math-probability": {"Score": 100, "Avg Rank": 1, "Min Rank": 1, "Max Rank": 1},
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-
"reasoning-logical": {"Avg Rank": 1, "Min Rank": 1, "Max Rank": 1},
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-
"overall": {"Avg Rank": 2, "Min Rank": 2, "Max Rank": 2}
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-
}},
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-
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{"config": {
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-
"model_name": "gpt-4o-2024-08-06",
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"organization": "OpenAI",
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-
"license": "Proprietary",
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"knowledge_cutoff": "2023/10"
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-
},
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-
"results": {
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-
"math-algebra": {"Score": 98.38969404, "Avg Rank": 1.666666667, "Min Rank": 1, "Max Rank": 2},
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-
"math-probability": {"Score": 96.49758454, "Avg Rank": 2.666666667, "Min Rank": 2, "Max Rank": 4},
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-
"reasoning-logical": {"Avg Rank": 4.333333333, "Min Rank": 3, "Max Rank": 5},
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-
"overall": {"Avg Rank": 7.33, "Min Rank": 4, "Max Rank": 9}
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}},
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{"config": {
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"model_name": "gpt-4o-2024-05-13",
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"organization": "OpenAI",
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"license": "Proprietary",
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"knowledge_cutoff": "2023/10"
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},
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"results": {
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-
"math-algebra": {"Score": 98.15480333, "Avg Rank": 2.666666667, "Min Rank": 2, "Max Rank": 3},
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-
"math-probability": {"Score": 94.83939431, "Avg Rank": 3.666666667, "Min Rank": 2, "Max Rank": 5},
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-
"reasoning-logical": {"Avg Rank": 6.333333333, "Min Rank": 3, "Max Rank": 8},
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"overall": {"Avg Rank": 7.67, "Min Rank": 7, "Max Rank": 9}
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-
}},
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-
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{"config": {
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"model_name": "gpt-4-turbo-2024-04-09",
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"organization": "OpenAI",
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"license": "Proprietary",
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"knowledge_cutoff": "2023/12"
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-
},
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"results": {
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-
"math-algebra": {"Score": 96.03195879, "Avg Rank": 4, "Min Rank": 4, "Max Rank": 4},
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-
"math-probability": {"Score": 93.59903382, "Avg Rank": 6.666666667, "Min Rank": 6, "Max Rank": 8},
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-
"reasoning-logical": {"Avg Rank": 4, "Min Rank": 2, "Max Rank": 7},
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-
"overall": {"Avg Rank": 6, "Min Rank": 5, "Max Rank": 8}
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}},
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-
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{"config": {
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"model_name": "gemini-1.5-pro-001",
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"organization": "Google",
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"license": "Proprietary",
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"knowledge_cutoff": "2024-01"
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-
},
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"results": {
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-
"math-algebra": {"Score": 94.7572213, "Avg Rank": 5, "Min Rank": 5, "Max Rank": 5},
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-
"math-probability": {"Score": 91.42512077, "Avg Rank": 9.666666667, "Min Rank": 9, "Max Rank": 10},
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"reasoning-logical": {"Avg Rank": 9.666666667, "Min Rank": 9, "Max Rank": 11},
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"overall": {"Avg Rank": 14, "Min Rank": 13, "Max Rank": 15}
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}},
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-
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{"config": {
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"model_name": "qwen2-72b-instruct",
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"organization": "Alibaba",
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"license": "Qianwen LICENSE",
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"knowledge_cutoff": "2024-02"
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-
},
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"results": {
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-
"math-algebra": {"Score": 93.88818605, "Avg Rank": 6, "Min Rank": 6, "Max Rank": 6},
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-
"math-probability": {"Score": 91.54326174, "Avg Rank": 4, "Min Rank": 3, "Max Rank": 5},
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-
"reasoning-logical": {"Avg Rank": 15.66666667, "Min Rank": 15, "Max Rank": 17},
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"overall": {"Avg Rank": 17, "Min Rank": 17, "Max Rank": 17}
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-
}},
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{"config": {
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"model_name": "gpt-4o-mini-2024-07-18",
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"organization": "OpenAI",
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"license": "Proprietary",
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"knowledge_cutoff": "2024-07"
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-
},
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"results": {
|
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-
"math-algebra": {"Score": 93.22073596, "Avg Rank": 7, "Min Rank": 7, "Max Rank": 7},
|
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"math-probability": {"Score": 92.17351456, "Avg Rank": 3.666666667, "Min Rank": 3, "Max Rank": 5},
|
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"reasoning-logical": {"Avg Rank": 9.666666667, "Min Rank": 9, "Max Rank": 10},
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"overall": {"Avg Rank": 7, "Min Rank": 5, "Max Rank": 8}
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}},
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{"config": {
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"model_name": "claude-3.5-sonnet",
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"organization": "Anthropic",
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"license": "Proprietary",
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"knowledge_cutoff": "2024-03"
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},
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"results": {
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"math-algebra": {"Score": 91.5823805, "Avg Rank": 8.333333333, "Min Rank": 8, "Max Rank": 9},
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-
"math-probability": {"Score": 91.55011915, "Avg Rank": 8, "Min Rank": 7, "Max Rank": 9},
|
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-
"reasoning-logical": {"Avg Rank": 5, "Min Rank": 2, "Max Rank": 7},
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"overall": {"Avg Rank": 5, "Min Rank": 4, "Max Rank": 7}
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-
}},
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-
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{"config": {
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"model_name": "o1-mini",
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"organization": "01 AI",
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"license": "Proprietary",
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"knowledge_cutoff": "2024-01"
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-
},
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"results": {
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"math-algebra": None,
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"math-probability": None,
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"reasoning-logical": None,
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"overall": {"Avg Rank": 1, "Min Rank": 1, "Max Rank": 1}
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}},
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{"config": {
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"model_name": "o1-preview",
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"organization": "01 AI",
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"license": "Proprietary",
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"knowledge_cutoff": "2024-01"
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},
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"results": {
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"math-algebra": None,
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"math-probability": None,
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"reasoning-logical": None,
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"overall": {"Avg Rank": 3, "Min Rank": 3, "Max Rank": 3}
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}},
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{"config": {
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"model_name": "gemini-1.5-flash-001",
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"organization": "Google",
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"license": "Proprietary",
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"knowledge_cutoff": "2024-02"
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},
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"results": {
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"math-algebra": {"Score": 91.30211121, "Avg Rank": 11, "Min Rank": 11, "Max Rank": 11},
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"math-probability": {"Score": 91.066099, "Avg Rank": 12, "Min Rank": 10, "Max Rank": 13},
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"reasoning-logical": {"Avg Rank": 15.66666667, "Min Rank": 15, "Max Rank": 16},
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"overall": {"Avg Rank": 14, "Min Rank": 13, "Max Rank": 15}
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-
}},
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{"config": {
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"model_name": "gpt4-1106",
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"organization": "OpenAI",
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"license": "Proprietary",
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"knowledge_cutoff": "2024-04"
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},
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"results": {
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-
"math-algebra": {"Score": 91.2227739, "Avg Rank": 12, "Min Rank": 12, "Max Rank": 12},
|
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-
"math-probability": {"Score": 91.09550085, "Avg Rank": 11.66666667, "Min Rank": 11, "Max Rank": 12},
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-
"reasoning-logical": {"Avg Rank": 12, "Min Rank": 12, "Max Rank": 12},
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"overall": {"Avg Rank": 12, "Min Rank": 11, "Max Rank": 12}
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-
}},
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-
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{"config": {
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"model_name": "gemma-2-27b-it",
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"organization": "Google",
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"license": "Gemma License",
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"knowledge_cutoff": "2024-03"
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},
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"results": {
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"math-algebra": {"Score": 91.08554346, "Avg Rank": 13.33333333, "Min Rank": 13, "Max Rank": 14},
|
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-
"math-probability": {"Score": 91.09516215, "Avg Rank": 14, "Min Rank": 14, "Max Rank": 14},
|
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-
"reasoning-logical": {"Avg Rank": 13, "Min Rank": 13, "Max Rank": 13},
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"overall": {"Avg Rank": 13, "Min Rank": 12, "Max Rank": 14}
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-
}},
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-
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{"config": {
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"model_name": "claude-3-opus",
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"organization": "Anthropic",
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"license": "Proprietary",
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"knowledge_cutoff": "2024-01"
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},
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"results": {
|
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"math-algebra": {"Score": 89.75345785, "Avg Rank": 13.66666667, "Min Rank": 13, "Max Rank": 14},
|
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"math-probability": {"Score": 91.06939607, "Avg Rank": 11.33333333, "Min Rank": 11, "Max Rank": 12},
|
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-
"reasoning-logical": {"Avg Rank": 10.66666667, "Min Rank": 10, "Max Rank": 11},
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"overall": {"Avg Rank": 12, "Min Rank": 10, "Max Rank": 15}
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-
}},
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-
|
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{"config": {
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"model_name": "gemma-2-9b-it-simpo",
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"organization": "Google",
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"license": "Gemma License",
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"knowledge_cutoff": "2024-02"
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},
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"results": {
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"math-algebra": {"Score": 87.66368227, "Avg Rank": 15, "Min Rank": 15, "Max Rank": 15},
|
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"math-probability": {"Score": 73.64665336, "Avg Rank": 17, "Min Rank": 17, "Max Rank": 17},
|
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"reasoning-logical": {"Avg Rank": 19, "Min Rank": 19, "Max Rank": 19},
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"overall": {"Avg Rank": 17, "Min Rank": 15, "Max Rank": 19}
|
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}},
|
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-
|
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{"config": {
|
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"model_name": "qwen1.5-72b-chat",
|
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"organization": "Alibaba",
|
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"license": "Qianwen LICENSE",
|
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"knowledge_cutoff": "2024-03"
|
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-
},
|
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"results": {
|
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-
"math-algebra": {"Score": 86.56207015, "Avg Rank": 16, "Min Rank": 16, "Max Rank": 16},
|
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-
"math-probability": {"Score": 72.7735874, "Avg Rank": 21, "Min Rank": 20, "Max Rank": 22},
|
206 |
-
"reasoning-logical": {"Avg Rank": 29.66666667, "Min Rank": 28, "Max Rank": 31},
|
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-
"overall": {"Avg Rank": 23, "Min Rank": 16, "Max Rank": 31}
|
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}},
|
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-
|
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{"config": {
|
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"model_name": "qwen1.5-32b-chat",
|
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"organization": "Alibaba",
|
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"license": "Qianwen LICENSE",
|
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"knowledge_cutoff": "2024-03"
|
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-
},
|
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"results": {
|
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-
"math-algebra": {"Score": 84.59439036, "Avg Rank": 17.33333333, "Min Rank": 17, "Max Rank": 18},
|
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-
"math-probability": {"Score": 76.61348265, "Avg Rank": 22.33333333, "Min Rank": 22, "Max Rank": 23},
|
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"reasoning-logical": {"Avg Rank": 28.66666667, "Min Rank": 27, "Max Rank": 30},
|
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-
"overall": {"Avg Rank": 22, "Min Rank": 17, "Max Rank": 30}
|
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-
}},
|
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-
|
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{"config": {
|
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"model_name": "google-gemma-2-9b-it",
|
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"organization": "Google",
|
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"license": "Proprietary",
|
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-
"knowledge_cutoff": "2024-01"
|
228 |
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|
src/results/models_2024-10-08-03:10:26.811832.jsonl
DELETED
@@ -1,1770 +0,0 @@
|
|
1 |
-
[
|
2 |
-
{
|
3 |
-
"config": {
|
4 |
-
"model_name": "ChatGPT-4o-latest (2024-09-03)",
|
5 |
-
"organization": "OpenAI",
|
6 |
-
"license": "Proprietary",
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7 |
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|
8 |
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|
9 |
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|
12 |
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18 |
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23 |
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|
24 |
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25 |
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30 |
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31 |
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35 |
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36 |
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{
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37 |
-
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|
38 |
-
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39 |
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40 |
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41 |
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|
42 |
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|
43 |
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|
44 |
-
"OVERALL": {
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DELETED
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2048 |
-
},
|
2049 |
-
"results": {
|
2050 |
-
"OVERALL": {
|
2051 |
-
"Average Score": 0.0,
|
2052 |
-
"Standard Deviation": 0.0,
|
2053 |
-
"Rank": 52
|
2054 |
-
},
|
2055 |
-
"Geometry": {
|
2056 |
-
"Average Score": 0.0,
|
2057 |
-
"Standard Deviation": 0.0,
|
2058 |
-
"Rank": 52
|
2059 |
-
},
|
2060 |
-
"Algebra": {
|
2061 |
-
"Average Score": 0.0,
|
2062 |
-
"Standard Deviation": 0.0,
|
2063 |
-
"Rank": 52
|
2064 |
-
},
|
2065 |
-
"Probability": {
|
2066 |
-
"Average Score": 0.0,
|
2067 |
-
"Standard Deviation": 0.0,
|
2068 |
-
"Rank": 54
|
2069 |
-
},
|
2070 |
-
"Logical": {
|
2071 |
-
"Average Score": 0.0,
|
2072 |
-
"Standard Deviation": 0.0,
|
2073 |
-
"Rank": 53
|
2074 |
-
},
|
2075 |
-
"Social": {
|
2076 |
-
"Average Score": 0.030792528,
|
2077 |
-
"Standard Deviation": 0.007518796391,
|
2078 |
-
"Rank": 53
|
2079 |
-
}
|
2080 |
-
}
|
2081 |
-
}
|
2082 |
-
]
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|
src/results/models_2024-10-08-17:39:21.001582.jsonl
DELETED
@@ -1,2082 +0,0 @@
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|
1 |
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2 |
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1904 |
-
},
|
1905 |
-
"Probability": {
|
1906 |
-
"Average Score": 0.06467432,
|
1907 |
-
"Standard Deviation": 0.002117497231,
|
1908 |
-
"Rank": 52
|
1909 |
-
},
|
1910 |
-
"Logical": {
|
1911 |
-
"Average Score": 0.039624492,
|
1912 |
-
"Standard Deviation": 0.007606972686,
|
1913 |
-
"Rank": 52
|
1914 |
-
},
|
1915 |
-
"Social": {
|
1916 |
-
"Average Score": 0.087452913,
|
1917 |
-
"Standard Deviation": 0.008170146562,
|
1918 |
-
"Rank": 52
|
1919 |
-
}
|
1920 |
-
}
|
1921 |
-
},
|
1922 |
-
{
|
1923 |
-
"config": {
|
1924 |
-
"model_name": "llama2-13b-chat",
|
1925 |
-
"organization": "Meta",
|
1926 |
-
"license": "Llama 2 Community",
|
1927 |
-
"knowledge_cutoff": "2023/07"
|
1928 |
-
},
|
1929 |
-
"results": {
|
1930 |
-
"OVERALL": {
|
1931 |
-
"Average Score": 0.263305684,
|
1932 |
-
"Standard Deviation": 0.07283640689,
|
1933 |
-
"Rank": 42
|
1934 |
-
},
|
1935 |
-
"Geometry": {
|
1936 |
-
"Average Score": 0.072729954,
|
1937 |
-
"Standard Deviation": 0.02315988261,
|
1938 |
-
"Rank": 50
|
1939 |
-
},
|
1940 |
-
"Algebra": {
|
1941 |
-
"Average Score": 0.080371692,
|
1942 |
-
"Standard Deviation": 0.01277569453,
|
1943 |
-
"Rank": 49
|
1944 |
-
},
|
1945 |
-
"Probability": {
|
1946 |
-
"Average Score": 0.117757344,
|
1947 |
-
"Standard Deviation": 0.02418619619,
|
1948 |
-
"Rank": 47
|
1949 |
-
},
|
1950 |
-
"Logical": {
|
1951 |
-
"Average Score": 0.193149889,
|
1952 |
-
"Standard Deviation": 0.01776690764,
|
1953 |
-
"Rank": 40
|
1954 |
-
},
|
1955 |
-
"Social": {
|
1956 |
-
"Average Score": 0.149125922,
|
1957 |
-
"Standard Deviation": 0.01157416827,
|
1958 |
-
"Rank": 46
|
1959 |
-
}
|
1960 |
-
}
|
1961 |
-
},
|
1962 |
-
{
|
1963 |
-
"config": {
|
1964 |
-
"model_name": "vicuna-7b",
|
1965 |
-
"organization": "LMSYS",
|
1966 |
-
"license": "Non-commercial",
|
1967 |
-
"knowledge_cutoff": "2023/07"
|
1968 |
-
},
|
1969 |
-
"results": {
|
1970 |
-
"OVERALL": {
|
1971 |
-
"Average Score": 0.198839786,
|
1972 |
-
"Standard Deviation": 0.05725381576,
|
1973 |
-
"Rank": 48
|
1974 |
-
},
|
1975 |
-
"Geometry": {
|
1976 |
-
"Average Score": 0.083457058,
|
1977 |
-
"Standard Deviation": 0.02520989111,
|
1978 |
-
"Rank": 49
|
1979 |
-
},
|
1980 |
-
"Algebra": {
|
1981 |
-
"Average Score": 0.070883882,
|
1982 |
-
"Standard Deviation": 0.007315853253,
|
1983 |
-
"Rank": 50
|
1984 |
-
},
|
1985 |
-
"Probability": {
|
1986 |
-
"Average Score": 0.080987673,
|
1987 |
-
"Standard Deviation": 0.005474288861,
|
1988 |
-
"Rank": 51
|
1989 |
-
},
|
1990 |
-
"Logical": {
|
1991 |
-
"Average Score": 0.100065588,
|
1992 |
-
"Standard Deviation": 0.003561886452,
|
1993 |
-
"Rank": 48
|
1994 |
-
},
|
1995 |
-
"Social": {
|
1996 |
-
"Average Score": 0.111076414,
|
1997 |
-
"Standard Deviation": 0.004805626512,
|
1998 |
-
"Rank": 50
|
1999 |
-
}
|
2000 |
-
}
|
2001 |
-
},
|
2002 |
-
{
|
2003 |
-
"config": {
|
2004 |
-
"model_name": "koala-13b",
|
2005 |
-
"organization": "UC Berkeley",
|
2006 |
-
"license": "Non-commercial",
|
2007 |
-
"knowledge_cutoff": "2023/04"
|
2008 |
-
},
|
2009 |
-
"results": {
|
2010 |
-
"OVERALL": {
|
2011 |
-
"Average Score": 0.09387188,
|
2012 |
-
"Standard Deviation": 0.02642167489,
|
2013 |
-
"Rank": 51
|
2014 |
-
},
|
2015 |
-
"Geometry": {
|
2016 |
-
"Average Score": 0.017374001,
|
2017 |
-
"Standard Deviation": 0.01747053557,
|
2018 |
-
"Rank": 51
|
2019 |
-
},
|
2020 |
-
"Algebra": {
|
2021 |
-
"Average Score": 0.018129197,
|
2022 |
-
"Standard Deviation": 0.01054371383,
|
2023 |
-
"Rank": 51
|
2024 |
-
},
|
2025 |
-
"Probability": {
|
2026 |
-
"Average Score": 0.043654362,
|
2027 |
-
"Standard Deviation": 0.004288231886,
|
2028 |
-
"Rank": 53
|
2029 |
-
},
|
2030 |
-
"Logical": {
|
2031 |
-
"Average Score": 0.074694053,
|
2032 |
-
"Standard Deviation": 0.002674646998,
|
2033 |
-
"Rank": 50
|
2034 |
-
},
|
2035 |
-
"Social": {
|
2036 |
-
"Average Score": 0.096983835,
|
2037 |
-
"Standard Deviation": 0.007847059783,
|
2038 |
-
"Rank": 51
|
2039 |
-
}
|
2040 |
-
}
|
2041 |
-
},
|
2042 |
-
{
|
2043 |
-
"config": {
|
2044 |
-
"model_name": "openassistant-pythia-12b",
|
2045 |
-
"organization": "OpenAssistant",
|
2046 |
-
"license": "Non-commercial",
|
2047 |
-
"knowledge_cutoff": "2023/04"
|
2048 |
-
},
|
2049 |
-
"results": {
|
2050 |
-
"OVERALL": {
|
2051 |
-
"Average Score": 0.0,
|
2052 |
-
"Standard Deviation": 0.0,
|
2053 |
-
"Rank": 52
|
2054 |
-
},
|
2055 |
-
"Geometry": {
|
2056 |
-
"Average Score": 0.0,
|
2057 |
-
"Standard Deviation": 0.0,
|
2058 |
-
"Rank": 52
|
2059 |
-
},
|
2060 |
-
"Algebra": {
|
2061 |
-
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|
2062 |
-
"Standard Deviation": 0.0,
|
2063 |
-
"Rank": 52
|
2064 |
-
},
|
2065 |
-
"Probability": {
|
2066 |
-
"Average Score": 0.0,
|
2067 |
-
"Standard Deviation": 0.0,
|
2068 |
-
"Rank": 54
|
2069 |
-
},
|
2070 |
-
"Logical": {
|
2071 |
-
"Average Score": 0.0,
|
2072 |
-
"Standard Deviation": 0.0,
|
2073 |
-
"Rank": 53
|
2074 |
-
},
|
2075 |
-
"Social": {
|
2076 |
-
"Average Score": 0.030792528,
|
2077 |
-
"Standard Deviation": 0.007518796391,
|
2078 |
-
"Rank": 53
|
2079 |
-
}
|
2080 |
-
}
|
2081 |
-
}
|
2082 |
-
]
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|
src/results/models_2024-10-09-05:17:38.810960.json
DELETED
@@ -1,2327 +0,0 @@
|
|
1 |
-
[
|
2 |
-
{
|
3 |
-
"config": {
|
4 |
-
"model_name": "ChatGPT-4o-latest (2024-09-03)",
|
5 |
-
"organization": "OpenAI",
|
6 |
-
"license": "Proprietary",
|
7 |
-
"knowledge_cutoff": "2023/10"
|
8 |
-
},
|
9 |
-
"results": {
|
10 |
-
"OVERALL": {
|
11 |
-
"Average Score": 0.974329609,
|
12 |
-
"Standard Deviation": 0.005024959031,
|
13 |
-
"Rank": 2
|
14 |
-
},
|
15 |
-
"Geometry": {
|
16 |
-
"Average Score": 0.976028578,
|
17 |
-
"Standard Deviation": 0.01507912373,
|
18 |
-
"Rank": 3
|
19 |
-
},
|
20 |
-
"Algebra": {
|
21 |
-
"Average Score": 0.951199453,
|
22 |
-
"Standard Deviation": 0.08452452108,
|
23 |
-
"Rank": 3
|
24 |
-
},
|
25 |
-
"Probability": {
|
26 |
-
"Average Score": 0.842116641,
|
27 |
-
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2202 |
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2203 |
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2204 |
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2236 |
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2237 |
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2238 |
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2239 |
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|
2240 |
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2241 |
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2242 |
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2243 |
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2244 |
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2254 |
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2282 |
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2284 |
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2285 |
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2286 |
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2287 |
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2288 |
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2309 |
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2313 |
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2314 |
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2324 |
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2325 |
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2326 |
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|
2327 |
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2172 |
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2173 |
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2178 |
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2189 |
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2190 |
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2191 |
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2192 |
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2193 |
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2194 |
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2195 |
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2196 |
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2198 |
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2202 |
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2203 |
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2204 |
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2208 |
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2223 |
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2224 |
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2236 |
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2237 |
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2238 |
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2239 |
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2240 |
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2241 |
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2242 |
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2243 |
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2244 |
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2269 |
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2279 |
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2280 |
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2281 |
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2282 |
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2283 |
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2284 |
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2285 |
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2286 |
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2287 |
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2288 |
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2309 |
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2313 |
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2314 |
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2324 |
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2325 |
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2326 |
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2327 |
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2328 |
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2329 |
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2330 |
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2331 |
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2332 |
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2333 |
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2354 |
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2358 |
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2359 |
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2370 |
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2371 |
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2372 |
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|
2507 |
-
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|
2508 |
-
"Rank": 48
|
2509 |
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},
|
2510 |
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"Chemistry": {
|
2511 |
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|
2512 |
-
"Standard Deviation": null,
|
2513 |
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"Rank": 45
|
2514 |
-
},
|
2515 |
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"CPP": {
|
2516 |
-
"Average Score": 14.255194156624162,
|
2517 |
-
"Standard Deviation": null,
|
2518 |
-
"Rank": 46
|
2519 |
-
}
|
2520 |
-
}
|
2521 |
-
},
|
2522 |
-
{
|
2523 |
-
"config": {
|
2524 |
-
"model_name": "koala-13b",
|
2525 |
-
"organization": "UC Berkeley",
|
2526 |
-
"license": "Non-commercial",
|
2527 |
-
"knowledge_cutoff": "2023/04"
|
2528 |
-
},
|
2529 |
-
"results": {
|
2530 |
-
"OVERALL": {
|
2531 |
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"Average Score": 0.09387188,
|
2532 |
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"Standard Deviation": 0.02642167489,
|
2533 |
-
"Rank": 50
|
2534 |
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},
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2535 |
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"Geometry": {
|
2536 |
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|
2537 |
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|
2538 |
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"Rank": 49
|
2539 |
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},
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2540 |
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|
2541 |
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|
2542 |
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"Standard Deviation": 0.01054371383,
|
2543 |
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"Rank": 49
|
2544 |
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},
|
2545 |
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"Probability": {
|
2546 |
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|
2547 |
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"Standard Deviation": 0.004288231886,
|
2548 |
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"Rank": 51
|
2549 |
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},
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2550 |
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"Logical": {
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2551 |
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|
2552 |
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"Standard Deviation": 0.002674646998,
|
2553 |
-
"Rank": 49
|
2554 |
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},
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2555 |
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"Social": {
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2556 |
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|
2557 |
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|
2558 |
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"Rank": 49
|
2559 |
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},
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2560 |
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|
2561 |
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|
2562 |
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"Standard Deviation": null,
|
2563 |
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"Rank": 48
|
2564 |
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},
|
2565 |
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"CPP": {
|
2566 |
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"Average Score": 6.36433272373514,
|
2567 |
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"Standard Deviation": null,
|
2568 |
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"Rank": 49
|
2569 |
-
}
|
2570 |
-
}
|
2571 |
-
},
|
2572 |
-
{
|
2573 |
-
"config": {
|
2574 |
-
"model_name": "openassistant-pythia-12b",
|
2575 |
-
"organization": "OpenAssistant",
|
2576 |
-
"license": "Non-commercial",
|
2577 |
-
"knowledge_cutoff": "2023/04"
|
2578 |
-
},
|
2579 |
-
"results": {
|
2580 |
-
"OVERALL": {
|
2581 |
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"Average Score": 0.0,
|
2582 |
-
"Standard Deviation": 0.0,
|
2583 |
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"Rank": 51
|
2584 |
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},
|
2585 |
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"Geometry": {
|
2586 |
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|
2587 |
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|
2588 |
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"Rank": 50
|
2589 |
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},
|
2590 |
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|
2591 |
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|
2592 |
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"Standard Deviation": 0.0,
|
2593 |
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"Rank": 50
|
2594 |
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},
|
2595 |
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"Probability": {
|
2596 |
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|
2597 |
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"Standard Deviation": 0.0,
|
2598 |
-
"Rank": 52
|
2599 |
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},
|
2600 |
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"Logical": {
|
2601 |
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"Average Score": 0.0,
|
2602 |
-
"Standard Deviation": 0.0,
|
2603 |
-
"Rank": 52
|
2604 |
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},
|
2605 |
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"Social": {
|
2606 |
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"Average Score": 0.030792528,
|
2607 |
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"Standard Deviation": 0.007518796391,
|
2608 |
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"Rank": 51
|
2609 |
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},
|
2610 |
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"Chemistry": {
|
2611 |
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"Average Score": 0.0,
|
2612 |
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"Standard Deviation": null,
|
2613 |
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"Rank": 49
|
2614 |
-
},
|
2615 |
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"CPP": {
|
2616 |
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"Average Score": 0.0,
|
2617 |
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"Standard Deviation": null,
|
2618 |
-
"Rank": 50
|
2619 |
-
}
|
2620 |
-
}
|
2621 |
-
}
|
2622 |
-
]
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2503 |
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2504 |
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2505 |
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2507 |
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2508 |
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2509 |
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2512 |
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2513 |
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2514 |
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2516 |
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2517 |
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2518 |
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2519 |
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2520 |
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2521 |
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2522 |
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2523 |
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2524 |
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|
2525 |
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2526 |
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2527 |
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|
2528 |
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2529 |
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2532 |
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2534 |
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2539 |
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2547 |
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2553 |
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2554 |
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2564 |
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2566 |
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2569 |
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2570 |
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2571 |
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2572 |
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2573 |
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2574 |
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2575 |
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2576 |
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2577 |
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2578 |
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2579 |
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2583 |
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2584 |
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2589 |
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2594 |
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2599 |
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2603 |
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2604 |
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2609 |
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2614 |
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2616 |
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2619 |
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2620 |
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2621 |
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2622 |
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2623 |
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2624 |
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|
2625 |
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2626 |
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2627 |
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|
2628 |
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2629 |
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2644 |
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2649 |
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2650 |
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2652 |
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2653 |
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2654 |
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2655 |
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2656 |
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2657 |
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2658 |
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2682 |
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2684 |
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2685 |
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2686 |
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2687 |
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2688 |
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2709 |
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2710 |
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2711 |
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2713 |
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2731 |
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2732 |
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src/results/{models_2024-10-20-23:34:57.242641.json → models_2024-10-24-08:08:59.127307.json}
RENAMED
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