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- .gitattributes +7 -77
- YWZBrandon-Qwen_Qwen2.5-7B_qa_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json +3 -0
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YWZBrandon-google_flan-t5-large_temporal_10_clusters_1_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
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YWZBrandon-google_flan-t5-large_temporal_10_clusters_2_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
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YWZBrandon-google_flan-t5-large_temporal_10_clusters_5_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
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YWZBrandon-google_flan-t5-large_temporal_10_clusters_9_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
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YWZBrandon-google_flan-t5-large_temporal_3_clusters_0_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
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YWZBrandon-google_flan-t5-large_temporal_3_clusters_0_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_checkpoint.json filter=lfs diff=lfs merge=lfs -text
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YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
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train_results-google_flan-t5-large_semantic_3_clusters_0_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
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train_results-google_flan-t5-large_semantic_3_clusters_1_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
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wikidyk-scope-clf-deberta-v3-large-semantic_10_clusters-eval-only/per_example_eval.jsonl filter=lfs diff=lfs merge=lfs -text
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meta-llama-Llama-3.1-8B_rag3/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
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meta-llama-Llama-3.2-1B_rag3/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
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Qwen_Qwen2.5-1.5B_0409/Qwen-Qwen2.5-1.5B/wikidyk2004-2009_03072025_gpt-4o_formatted_eval.json filter=lfs diff=lfs merge=lfs -text
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Qwen_Qwen2.5-7B_0409/Qwen-Qwen2.5-7B/wikidyk2004-2009_03072025_gpt-4o_formatted_eval.json filter=lfs diff=lfs merge=lfs -text
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YWZBrandon-Qwen_Qwen2.5-7B_qa_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
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YWZBrandon-google_flan-t5-large_temporal_3_clusters_0_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_checkpoint.rank0.json filter=lfs diff=lfs merge=lfs -text
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YWZBrandon-google_flan-t5-large_temporal_3_clusters_0_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_checkpoint.rank1.json filter=lfs diff=lfs merge=lfs -text
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YWZBrandon-google_flan-t5-large_temporal_3_clusters_0_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_checkpoint.rank2.json filter=lfs diff=lfs merge=lfs -text
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YWZBrandon-google_flan-t5-large_temporal_5_clusters_3_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
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YWZBrandon-google_flan-t5-large_temporal_5_clusters_4_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
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YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
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google_gemma-3-1b-pt_0409/google-gemma-3-1b-pt/wikidyk2004-2009_03072025_gpt-4o_formatted_eval.json filter=lfs diff=lfs merge=lfs -text
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meta-llama_Llama-2-7b-hf_0409/meta-llama-Llama-2-7b-hf/wikidyk2004-2009_03072025_gpt-4o_formatted_eval_checkpoint.json filter=lfs diff=lfs merge=lfs -text
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meta-llama_Llama-3.1-8B_0409/meta-llama-Llama-3.1-8B/wikidyk2004-2009_03072025_gpt-4o_formatted_eval.json filter=lfs diff=lfs merge=lfs -text
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meta-llama_Llama-3.2-1B_0409/meta-llama-Llama-3.2-1B/wikidyk2004-2009_03072025_gpt-4o_formatted_eval.json filter=lfs diff=lfs merge=lfs -text
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YWZBrandon-Qwen_Qwen2.5-7B_qa_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json
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size 91236463
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YWZBrandon-Qwen_Qwen2.5-7B_qa_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1.tex
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| 1 |
+
% Results for year 2022
|
| 2 |
+
\subsection*{Results for 2022}
|
| 3 |
+
\begin{table}[ht]
|
| 4 |
+
\centering
|
| 5 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 6 |
+
\hline
|
| 7 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
+
\midrule
|
| 9 |
+
& Reliability & 4.18 & 4.95 & 3.88 & 4.71 & 2.26 & 3.79 & 3.99 & 3.94 & 3.86 & 3.74 & 4.49 & 4.97 \\
|
| 10 |
+
& Generality & 8.44 & 11.07 & 8.90 & 8.81 & 9.71 & 10.18 & 10.11 & 7.96 & 9.79 & 10.06 & 10.50 & 9.01 \\
|
| 11 |
+
& Paraphrase & 3.29 & 3.99 & 2.85 & 2.12 & 3.12 & 2.96 & 3.71 & 2.58 & 3.64 & 3.77 & 4.59 & 4.19 \\
|
| 12 |
+
& Portability & 2.89 & 4.38 & 2.06 & 2.51 & 2.43 & 2.60 & 1.72 & 1.71 & 2.19 & 2.06 & 3.56 & 1.73 \\
|
| 13 |
+
& Counterfactual & 7.91 & 7.21 & 8.48 & 7.07 & 7.98 & 7.23 & 7.83 & 8.11 & 7.59 & 8.85 & 9.17 & 8.36 \\
|
| 14 |
+
& Factual & 13.72 & 12.58 & 15.67 & 15.55 & 15.31 & 11.63 & 14.43 & 13.86 & 13.76 & 16.19 & 14.04 & 15.59 \\
|
| 15 |
+
& Locality & 29.01 & 29.48 & 30.76 & 30.17 & 29.58 & 30.68 & 29.14 & 28.18 & 29.35 & 28.74 & 30.31 & 31.19 \\
|
| 16 |
+
\hline
|
| 17 |
+
\end{tabular}
|
| 18 |
+
\caption{Monthly evaluation results for (2022)}
|
| 19 |
+
\end{table}
|
| 20 |
+
|
| 21 |
+
% Results for year 2023
|
| 22 |
+
\subsection*{Results for 2023}
|
| 23 |
+
\begin{table}[ht]
|
| 24 |
+
\centering
|
| 25 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 26 |
+
\hline
|
| 27 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 28 |
+
\midrule
|
| 29 |
+
& Reliability & 4.10 & 5.96 & 4.40 & 4.81 & 5.04 & 3.98 & 2.85 & 3.18 & 4.71 & 3.15 & 3.74 & 4.58 \\
|
| 30 |
+
& Generality & 9.57 & 7.31 & 11.64 & 10.46 & 10.49 & 7.43 & 7.67 & 8.47 & 7.68 & 8.84 & 7.76 & 6.79 \\
|
| 31 |
+
& Paraphrase & 2.91 & 3.46 & 4.23 & 4.47 & 4.94 & 2.86 & 2.90 & 3.04 & 2.89 & 3.43 & 4.39 & 4.16 \\
|
| 32 |
+
& Portability & 1.91 & 3.42 & 3.54 & 3.27 & 3.47 & 2.25 & 2.08 & 1.39 & 2.80 & 2.43 & 2.23 & 2.29 \\
|
| 33 |
+
& Counterfactual & 8.19 & 10.02 & 7.23 & 8.33 & 8.54 & 7.23 & 8.03 & 7.71 & 8.17 & 8.05 & 9.12 & 9.34 \\
|
| 34 |
+
& Factual & 13.39 & 13.16 & 12.94 & 12.34 & 13.90 & 12.31 & 14.73 & 12.42 & 13.72 & 15.86 & 14.35 & 12.55 \\
|
| 35 |
+
& Locality & 29.76 & 29.87 & 28.92 & 31.51 & 29.69 & 31.48 & 27.61 & 28.76 & 29.75 & 30.13 & 27.66 & 29.37 \\
|
| 36 |
+
\hline
|
| 37 |
+
\end{tabular}
|
| 38 |
+
\caption{Monthly evaluation results for (2023)}
|
| 39 |
+
\end{table}
|
| 40 |
+
|
| 41 |
+
% Results for year 2024
|
| 42 |
+
\subsection*{Results for 2024}
|
| 43 |
+
\begin{table}[ht]
|
| 44 |
+
\centering
|
| 45 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 46 |
+
\hline
|
| 47 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 48 |
+
\midrule
|
| 49 |
+
& Reliability & 3.07 & 4.28 & 2.57 & 4.70 & 3.55 & 2.88 & 3.84 & 4.10 & 3.26 & 2.54 & 3.50 & 3.05 \\
|
| 50 |
+
& Generality & 9.13 & 9.14 & 9.83 & 7.94 & 9.51 & 8.26 & 8.79 & 12.07 & 10.36 & 8.91 & 8.25 & 9.39 \\
|
| 51 |
+
& Paraphrase & 3.31 & 3.22 & 2.79 & 2.78 & 2.50 & 2.10 & 1.96 & 2.93 & 4.10 & 2.30 & 2.27 & 3.30 \\
|
| 52 |
+
& Portability & 4.02 & 1.88 & 2.30 & 2.66 & 2.22 & 1.20 & 1.65 & 3.13 & 2.17 & 2.16 & 1.86 & 1.76 \\
|
| 53 |
+
& Counterfactual & 9.34 & 7.90 & 7.10 & 7.32 & 7.83 & 8.26 & 7.68 & 8.27 & 8.13 & 8.18 & 9.30 & 6.82 \\
|
| 54 |
+
& Factual & 12.85 & 12.92 & 15.24 & 12.59 & 15.28 & 12.42 & 14.70 & 11.62 & 13.23 & 12.67 & 12.74 & 14.35 \\
|
| 55 |
+
& Locality & 27.54 & 27.96 & 29.09 & 28.55 & 28.97 & 27.99 & 30.48 & 30.84 & 28.52 & 31.60 & 28.80 & 28.67 \\
|
| 56 |
+
\hline
|
| 57 |
+
\end{tabular}
|
| 58 |
+
\caption{Monthly evaluation results for (2024)}
|
| 59 |
+
\end{table}
|
| 60 |
+
|
| 61 |
+
% Results for year 2025
|
| 62 |
+
\subsection*{Results for 2025}
|
| 63 |
+
\begin{table}[ht]
|
| 64 |
+
\centering
|
| 65 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 66 |
+
\hline
|
| 67 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 68 |
+
\midrule
|
| 69 |
+
& Reliability & 3.26 & 4.26 & 4.33 & 3.33 & & & & & & & & \\
|
| 70 |
+
& Paraphrase & 2.63 & 3.07 & 3.10 & 2.43 & & & & & & & & \\
|
| 71 |
+
& Portability & 2.58 & 2.71 & 2.73 & 1.97 & & & & & & & & \\
|
| 72 |
+
& Counterfactual & 8.70 & 6.45 & 8.03 & 8.12 & & & & & & & & \\
|
| 73 |
+
& Factual & 11.91 & 12.49 & 11.62 & 9.40 & & & & & & & & \\
|
| 74 |
+
& Locality & 36.13 & 34.23 & 33.93 & 36.22 & & & & & & & & \\
|
| 75 |
+
\hline
|
| 76 |
+
\end{tabular}
|
| 77 |
+
\caption{Monthly evaluation results for (2025)}
|
| 78 |
+
\end{table}
|
YWZBrandon-Qwen_Qwen2.5-7B_qa_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
+
3.9124838331199165,9.236262350670348,3.232675043938501,2.4840531664451797,8.056180342429318,13.541985340668774,29.92020002671875
|
YWZBrandon-Qwen_Qwen2.5-7B_qa_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.tex
ADDED
|
@@ -0,0 +1,2 @@
|
|
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|
|
|
|
|
|
|
| 1 |
+
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
+
& 3.91 & 9.24 & 3.23 & 2.48 & 8.06 & 13.54 & 29.92 \\
|
YWZBrandon-Qwen_Qwen2.5-7B_qa_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy.tex
ADDED
|
@@ -0,0 +1,78 @@
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|
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|
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|
|
|
|
|
|
|
|
|
| 1 |
+
% Results for year 2022
|
| 2 |
+
\subsection*{Results for 2022}
|
| 3 |
+
\begin{table}[ht]
|
| 4 |
+
\centering
|
| 5 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 6 |
+
\hline
|
| 7 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
+
\midrule
|
| 9 |
+
& Reliability & 1.41 & 2.63 & 3.87 & 3.33 & 1.32 & 2.85 & 3.06 & 2.56 & 1.42 & 2.45 & 1.83 & 4.76 \\
|
| 10 |
+
& Generality & 8.06 & 9.54 & 9.82 & 12.42 & 10.53 & 9.97 & 9.72 & 6.41 & 8.81 & 8.33 & 8.56 & 7.79 \\
|
| 11 |
+
& Paraphrase & 0.81 & 0.99 & 0.89 & 0.91 & 0.66 & 0.28 & 1.67 & 0.64 & 0.57 & 1.47 & 1.22 & 1.73 \\
|
| 12 |
+
& Portability & 0.28 & 0.91 & 0.00 & 0.84 & 0.45 & 0.38 & 0.00 & 0.45 & 0.00 & 0.00 & 0.43 & 0.00 \\
|
| 13 |
+
& Counterfactual & 19.76 & 19.74 & 21.73 & 21.52 & 18.09 & 23.93 & 17.78 & 22.76 & 19.03 & 18.38 & 17.74 & 19.05 \\
|
| 14 |
+
& Factual & 18.95 & 16.78 & 15.18 & 14.85 & 17.43 & 15.95 & 15.00 & 22.44 & 18.47 & 19.61 & 15.60 & 16.02 \\
|
| 15 |
+
& Locality & 27.84 & 29.09 & 29.96 & 28.03 & 27.27 & 29.28 & 27.17 & 26.91 & 29.27 & 28.28 & 29.36 & 28.57 \\
|
| 16 |
+
\hline
|
| 17 |
+
\end{tabular}
|
| 18 |
+
\caption{Monthly evaluation results for (2022)}
|
| 19 |
+
\end{table}
|
| 20 |
+
|
| 21 |
+
% Results for year 2023
|
| 22 |
+
\subsection*{Results for 2023}
|
| 23 |
+
\begin{table}[ht]
|
| 24 |
+
\centering
|
| 25 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 26 |
+
\hline
|
| 27 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 28 |
+
\midrule
|
| 29 |
+
& Reliability & 2.17 & 4.91 & 2.86 & 2.86 & 1.88 & 0.84 & 2.25 & 2.72 & 1.79 & 3.63 & 2.93 & 2.34 \\
|
| 30 |
+
& Generality & 10.12 & 8.04 & 9.64 & 10.36 & 8.44 & 6.69 & 6.43 & 3.74 & 8.06 & 6.45 & 9.21 & 8.41 \\
|
| 31 |
+
& Paraphrase & 0.24 & 0.00 & 0.78 & 1.43 & 1.25 & 0.84 & 0.32 & 1.02 & 0.00 & 1.61 & 1.26 & 0.93 \\
|
| 32 |
+
& Portability & 0.34 & 0.00 & 0.68 & 0.94 & 0.83 & 1.09 & 0.41 & 0.00 & 0.00 & 0.00 & 0.00 & 0.74 \\
|
| 33 |
+
& Counterfactual & 19.52 & 17.86 & 20.05 & 16.07 & 20.94 & 21.76 & 21.54 & 18.03 & 19.70 & 21.77 & 25.52 & 15.89 \\
|
| 34 |
+
& Factual & 20.48 & 18.30 & 18.23 & 20.71 & 14.06 & 17.15 & 17.36 & 17.01 & 16.42 & 17.74 & 18.41 & 21.03 \\
|
| 35 |
+
& Locality & 27.95 & 26.97 & 26.71 & 28.64 & 27.80 & 30.05 & 26.42 & 27.96 & 28.44 & 28.30 & 29.45 & 28.68 \\
|
| 36 |
+
\hline
|
| 37 |
+
\end{tabular}
|
| 38 |
+
\caption{Monthly evaluation results for (2023)}
|
| 39 |
+
\end{table}
|
| 40 |
+
|
| 41 |
+
% Results for year 2024
|
| 42 |
+
\subsection*{Results for 2024}
|
| 43 |
+
\begin{table}[ht]
|
| 44 |
+
\centering
|
| 45 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 46 |
+
\hline
|
| 47 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 48 |
+
\midrule
|
| 49 |
+
& Reliability & 2.66 & 2.37 & 0.96 & 3.63 & 0.72 & 2.27 & 0.72 & 1.08 & 2.25 & 2.17 & 2.24 & 1.95 \\
|
| 50 |
+
& Generality & 8.64 & 8.14 & 10.19 & 7.51 & 6.88 & 8.33 & 8.30 & 10.47 & 9.36 & 8.33 & 8.96 & 6.83 \\
|
| 51 |
+
& Paraphrase & 0.33 & 0.68 & 0.32 & 1.30 & 0.00 & 0.00 & 0.00 & 0.72 & 0.75 & 0.72 & 0.37 & 0.49 \\
|
| 52 |
+
& Portability & 0.51 & 0.00 & 0.46 & 0.00 & 0.00 & 1.04 & 0.52 & 1.67 & 0.00 & 0.00 & 0.00 & 0.00 \\
|
| 53 |
+
& Counterfactual & 22.92 & 20.68 & 22.29 & 22.28 & 23.19 & 17.80 & 21.30 & 17.33 & 23.22 & 20.65 & 20.52 & 17.07 \\
|
| 54 |
+
& Factual & 24.58 & 21.69 & 16.56 & 14.77 & 19.20 & 19.32 & 18.05 & 19.49 & 17.23 & 18.12 & 16.79 & 18.05 \\
|
| 55 |
+
& Locality & 25.76 & 26.32 & 27.78 & 26.81 & 27.37 & 27.60 & 29.17 & 30.00 & 26.76 & 29.31 & 31.29 & 26.77 \\
|
| 56 |
+
\hline
|
| 57 |
+
\end{tabular}
|
| 58 |
+
\caption{Monthly evaluation results for (2024)}
|
| 59 |
+
\end{table}
|
| 60 |
+
|
| 61 |
+
% Results for year 2025
|
| 62 |
+
\subsection*{Results for 2025}
|
| 63 |
+
\begin{table}[ht]
|
| 64 |
+
\centering
|
| 65 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 66 |
+
\hline
|
| 67 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 68 |
+
\midrule
|
| 69 |
+
& Reliability & 1.44 & 2.00 & 2.19 & 0.71 & & & & & & & & \\
|
| 70 |
+
& Paraphrase & 0.48 & 0.67 & 0.73 & 0.00 & & & & & & & & \\
|
| 71 |
+
& Portability & 0.43 & 1.55 & 0.43 & 0.00 & & & & & & & & \\
|
| 72 |
+
& Counterfactual & 21.53 & 17.33 & 18.49 & 19.86 & & & & & & & & \\
|
| 73 |
+
& Factual & 11.72 & 14.00 & 14.36 & 12.77 & & & & & & & & \\
|
| 74 |
+
& Locality & 40.00 & 39.18 & 38.30 & 40.00 & & & & & & & & \\
|
| 75 |
+
\hline
|
| 76 |
+
\end{tabular}
|
| 77 |
+
\caption{Monthly evaluation results for (2025)}
|
| 78 |
+
\end{table}
|
YWZBrandon-Qwen_Qwen2.5-7B_qa_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
+
2.2945484133441822,8.611615245009075,0.7404393816110658,0.38823529411764707,20.14646053702197,17.445077298616763,29.08235294117647
|
YWZBrandon-Qwen_Qwen2.5-7B_qa_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.tex
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
+
& 2.29 & 8.61 & 0.74 & 0.39 & 20.15 & 17.45 & 29.08 \\
|
YWZBrandon-downloaded_models_Llama-3.2-1B_qa_ds3500_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
YWZBrandon-downloaded_models_Llama-3.2-1B_qa_ds3500_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1.tex
ADDED
|
@@ -0,0 +1,19 @@
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
% Results for year 2022
|
| 2 |
+
\subsection*{Results for 2022}
|
| 3 |
+
\begin{table}[ht]
|
| 4 |
+
\centering
|
| 5 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 6 |
+
\hline
|
| 7 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
+
\midrule
|
| 9 |
+
& Reliability & 16.21 & & & & & & & & & & & \\
|
| 10 |
+
& Generality & 16.79 & & & & & & & & & & & \\
|
| 11 |
+
& Paraphrase & 13.56 & & & & & & & & & & & \\
|
| 12 |
+
& Portability & 8.88 & & & & & & & & & & & \\
|
| 13 |
+
& Counterfactual & 40.01 & & & & & & & & & & & \\
|
| 14 |
+
& Factual & 13.34 & & & & & & & & & & & \\
|
| 15 |
+
& Locality & 20.00 & & & & & & & & & & & \\
|
| 16 |
+
\hline
|
| 17 |
+
\end{tabular}
|
| 18 |
+
\caption{Monthly evaluation results for (2022)}
|
| 19 |
+
\end{table}
|
YWZBrandon-downloaded_models_Llama-3.2-1B_qa_ds3500_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
+
16.207081807081806,16.785073260073258,13.560504201680669,8.876341050254094,40.008080808080805,13.344466644466644,20.0
|
YWZBrandon-downloaded_models_Llama-3.2-1B_qa_ds3500_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.tex
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
+
& 16.21 & 16.79 & 13.56 & 8.88 & 40.01 & 13.34 & 20.00 \\
|
YWZBrandon-downloaded_models_Llama-3.2-1B_qa_ds3500_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy.tex
ADDED
|
@@ -0,0 +1,19 @@
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
% Results for year 2022
|
| 2 |
+
\subsection*{Results for 2022}
|
| 3 |
+
\begin{table}[ht]
|
| 4 |
+
\centering
|
| 5 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 6 |
+
\hline
|
| 7 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
+
\midrule
|
| 9 |
+
& Reliability & 14.00 & & & & & & & & & & & \\
|
| 10 |
+
& Generality & 11.00 & & & & & & & & & & & \\
|
| 11 |
+
& Paraphrase & 9.00 & & & & & & & & & & & \\
|
| 12 |
+
& Portability & 4.35 & & & & & & & & & & & \\
|
| 13 |
+
& Counterfactual & 37.00 & & & & & & & & & & & \\
|
| 14 |
+
& Factual & 20.00 & & & & & & & & & & & \\
|
| 15 |
+
& Locality & 14.49 & & & & & & & & & & & \\
|
| 16 |
+
\hline
|
| 17 |
+
\end{tabular}
|
| 18 |
+
\caption{Monthly evaluation results for (2022)}
|
| 19 |
+
\end{table}
|
YWZBrandon-downloaded_models_Llama-3.2-1B_qa_ds3500_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
+
14.000000000000002,11.0,9.0,4.3478260869565215,37.0,20.0,14.492753623188406
|
YWZBrandon-downloaded_models_Llama-3.2-1B_qa_ds3500_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.tex
ADDED
|
@@ -0,0 +1,2 @@
|
|
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|
|
|
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|
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|
| 1 |
+
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
+
& 14.00 & 11.00 & 9.00 & 4.35 & 37.00 & 20.00 & 14.49 \\
|
YWZBrandon-downloaded_models_gemma-3-1b-pt_qa_ds3500_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
YWZBrandon-downloaded_models_gemma-3-1b-pt_qa_ds3500_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1.tex
ADDED
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
% Results for year 2022
|
| 2 |
+
\subsection*{Results for 2022}
|
| 3 |
+
\begin{table}[ht]
|
| 4 |
+
\centering
|
| 5 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 6 |
+
\hline
|
| 7 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
+
\midrule
|
| 9 |
+
& Reliability & 22.34 & & & & & & & & & & & \\
|
| 10 |
+
& Generality & 29.55 & & & & & & & & & & & \\
|
| 11 |
+
& Paraphrase & 14.25 & & & & & & & & & & & \\
|
| 12 |
+
& Portability & 9.28 & & & & & & & & & & & \\
|
| 13 |
+
& Counterfactual & 51.17 & & & & & & & & & & & \\
|
| 14 |
+
& Factual & 1.97 & & & & & & & & & & & \\
|
| 15 |
+
& Locality & 47.54 & & & & & & & & & & & \\
|
| 16 |
+
\hline
|
| 17 |
+
\end{tabular}
|
| 18 |
+
\caption{Monthly evaluation results for (2022)}
|
| 19 |
+
\end{table}
|
YWZBrandon-downloaded_models_gemma-3-1b-pt_qa_ds3500_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
+
22.34372294372294,29.55471195471195,14.246703296703297,9.27536231884058,51.16714396714396,1.9666666666666668,47.53623188405796
|
YWZBrandon-downloaded_models_gemma-3-1b-pt_qa_ds3500_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.tex
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
+
& 22.34 & 29.55 & 14.25 & 9.28 & 51.17 & 1.97 & 47.54 \\
|
YWZBrandon-downloaded_models_gemma-3-1b-pt_qa_ds3500_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy.tex
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
% Results for year 2022
|
| 2 |
+
\subsection*{Results for 2022}
|
| 3 |
+
\begin{table}[ht]
|
| 4 |
+
\centering
|
| 5 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 6 |
+
\hline
|
| 7 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
+
\midrule
|
| 9 |
+
& Reliability & 19.00 & & & & & & & & & & & \\
|
| 10 |
+
& Generality & 21.00 & & & & & & & & & & & \\
|
| 11 |
+
& Paraphrase & 12.00 & & & & & & & & & & & \\
|
| 12 |
+
& Portability & 5.80 & & & & & & & & & & & \\
|
| 13 |
+
& Counterfactual & 27.00 & & & & & & & & & & & \\
|
| 14 |
+
& Factual & 2.00 & & & & & & & & & & & \\
|
| 15 |
+
& Locality & 40.58 & & & & & & & & & & & \\
|
| 16 |
+
\hline
|
| 17 |
+
\end{tabular}
|
| 18 |
+
\caption{Monthly evaluation results for (2022)}
|
| 19 |
+
\end{table}
|
YWZBrandon-downloaded_models_gemma-3-1b-pt_qa_ds3500_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
+
19.0,21.0,12.0,5.797101449275362,27.0,2.0,40.57971014492754
|
YWZBrandon-downloaded_models_gemma-3-1b-pt_qa_ds3500_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.tex
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
+
& 19.00 & 21.00 & 12.00 & 5.80 & 27.00 & 2.00 & 40.58 \\
|
YWZBrandon-google-t5_t5-large_ds100_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
YWZBrandon-google-t5_t5-large_ds100_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1.tex
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
% Results for year 2022
|
| 2 |
+
\subsection*{Results for 2022}
|
| 3 |
+
\begin{table}[ht]
|
| 4 |
+
\centering
|
| 5 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 6 |
+
\hline
|
| 7 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
+
\midrule
|
| 9 |
+
& Reliability & 49.03 & & & & & & & & & & & \\
|
| 10 |
+
& Generality & 27.77 & & & & & & & & & & & \\
|
| 11 |
+
& Paraphrase & 39.91 & & & & & & & & & & & \\
|
| 12 |
+
& Portability & 17.48 & & & & & & & & & & & \\
|
| 13 |
+
& Counterfactual & 8.83 & & & & & & & & & & & \\
|
| 14 |
+
& Factual & 20.30 & & & & & & & & & & & \\
|
| 15 |
+
& Locality & 36.23 & & & & & & & & & & & \\
|
| 16 |
+
\hline
|
| 17 |
+
\end{tabular}
|
| 18 |
+
\caption{Monthly evaluation results for (2022)}
|
| 19 |
+
\end{table}
|
YWZBrandon-google-t5_t5-large_ds100_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
+
49.033333333333346,27.77467532467532,39.91358641358641,17.48447204968944,8.833333333333332,20.3,36.231884057971016
|
YWZBrandon-google-t5_t5-large_ds100_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.tex
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
+
& 49.03 & 27.77 & 39.91 & 17.48 & 8.83 & 20.30 & 36.23 \\
|
YWZBrandon-google-t5_t5-large_ds100_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy.tex
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
% Results for year 2022
|
| 2 |
+
\subsection*{Results for 2022}
|
| 3 |
+
\begin{table}[ht]
|
| 4 |
+
\centering
|
| 5 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 6 |
+
\hline
|
| 7 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
+
\midrule
|
| 9 |
+
& Reliability & 53.00 & & & & & & & & & & & \\
|
| 10 |
+
& Generality & 22.00 & & & & & & & & & & & \\
|
| 11 |
+
& Paraphrase & 39.00 & & & & & & & & & & & \\
|
| 12 |
+
& Portability & 18.84 & & & & & & & & & & & \\
|
| 13 |
+
& Counterfactual & 16.00 & & & & & & & & & & & \\
|
| 14 |
+
& Factual & 52.00 & & & & & & & & & & & \\
|
| 15 |
+
& Locality & 33.33 & & & & & & & & & & & \\
|
| 16 |
+
\hline
|
| 17 |
+
\end{tabular}
|
| 18 |
+
\caption{Monthly evaluation results for (2022)}
|
| 19 |
+
\end{table}
|
YWZBrandon-google-t5_t5-large_ds100_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
+
53.0,22.0,39.0,18.84057971014493,16.0,52.0,33.33333333333333
|
YWZBrandon-google-t5_t5-large_ds100_upsample1000_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.tex
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
+
& 53.00 & 22.00 & 39.00 & 18.84 & 16.00 & 52.00 & 33.33 \\
|
YWZBrandon-google_gemma-3-1b-pt_ds3500_upsample1000_predict_mask_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
YWZBrandon-google_gemma-3-1b-pt_ds3500_upsample1000_predict_mask_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1.tex
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
% Results for year 2022
|
| 2 |
+
\subsection*{Results for 2022}
|
| 3 |
+
\begin{table}[ht]
|
| 4 |
+
\centering
|
| 5 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 6 |
+
\hline
|
| 7 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
+
\midrule
|
| 9 |
+
& Reliability & 24.04 & & & & & & & & & & & \\
|
| 10 |
+
& Generality & 23.64 & & & & & & & & & & & \\
|
| 11 |
+
& Paraphrase & 21.89 & & & & & & & & & & & \\
|
| 12 |
+
& Portability & 12.00 & & & & & & & & & & & \\
|
| 13 |
+
& Counterfactual & 0.33 & & & & & & & & & & & \\
|
| 14 |
+
& Factual & 1.93 & & & & & & & & & & & \\
|
| 15 |
+
& Locality & 45.65 & & & & & & & & & & & \\
|
| 16 |
+
\hline
|
| 17 |
+
\end{tabular}
|
| 18 |
+
\caption{Monthly evaluation results for (2022)}
|
| 19 |
+
\end{table}
|
YWZBrandon-google_gemma-3-1b-pt_ds3500_upsample1000_predict_mask_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
+
24.040476190476188,23.635714285714286,21.887301587301586,11.999425695077868,0.33333333333333337,1.9333333333333333,45.65217391304348
|
YWZBrandon-google_gemma-3-1b-pt_ds3500_upsample1000_predict_mask_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.tex
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
+
& 24.04 & 23.64 & 21.89 & 12.00 & 0.33 & 1.93 & 45.65 \\
|
YWZBrandon-google_gemma-3-1b-pt_ds3500_upsample1000_predict_mask_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy.tex
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
% Results for year 2022
|
| 2 |
+
\subsection*{Results for 2022}
|
| 3 |
+
\begin{table}[ht]
|
| 4 |
+
\centering
|
| 5 |
+
\begin{tabular}{l|l|*{12}{c}}
|
| 6 |
+
\hline
|
| 7 |
+
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
+
\midrule
|
| 9 |
+
& Reliability & 25.00 & & & & & & & & & & & \\
|
| 10 |
+
& Generality & 22.00 & & & & & & & & & & & \\
|
| 11 |
+
& Paraphrase & 22.00 & & & & & & & & & & & \\
|
| 12 |
+
& Portability & 7.25 & & & & & & & & & & & \\
|
| 13 |
+
& Counterfactual & 1.00 & & & & & & & & & & & \\
|
| 14 |
+
& Factual & 6.00 & & & & & & & & & & & \\
|
| 15 |
+
& Locality & 46.38 & & & & & & & & & & & \\
|
| 16 |
+
\hline
|
| 17 |
+
\end{tabular}
|
| 18 |
+
\caption{Monthly evaluation results for (2022)}
|
| 19 |
+
\end{table}
|
YWZBrandon-google_gemma-3-1b-pt_ds3500_upsample1000_predict_mask_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
+
25.0,22.0,22.0,7.246376811594203,1.0,6.0,46.3768115942029
|
YWZBrandon-google_gemma-3-1b-pt_ds3500_upsample1000_predict_mask_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.tex
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
+
& 25.00 & 22.00 & 22.00 & 7.25 & 1.00 & 6.00 & 46.38 \\
|
YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cd65c114b4b84ff3ba396eb750386cf70739771fb115fcd0faa881c380ffe60b
|
| 3 |
+
size 73142467
|
YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1.tex
CHANGED
|
@@ -6,13 +6,13 @@
|
|
| 6 |
\hline
|
| 7 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
\midrule
|
| 9 |
-
& Reliability &
|
| 10 |
-
& Generality &
|
| 11 |
-
& Paraphrase &
|
| 12 |
-
& Portability & 3.
|
| 13 |
-
& Counterfactual &
|
| 14 |
-
& Factual &
|
| 15 |
-
& Locality &
|
| 16 |
\hline
|
| 17 |
\end{tabular}
|
| 18 |
\caption{Monthly evaluation results for (2022)}
|
|
@@ -26,13 +26,13 @@ Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
|
| 26 |
\hline
|
| 27 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 28 |
\midrule
|
| 29 |
-
& Reliability &
|
| 30 |
-
& Generality &
|
| 31 |
-
& Paraphrase & 9.
|
| 32 |
-
& Portability &
|
| 33 |
-
& Counterfactual &
|
| 34 |
-
& Factual &
|
| 35 |
-
& Locality &
|
| 36 |
\hline
|
| 37 |
\end{tabular}
|
| 38 |
\caption{Monthly evaluation results for (2023)}
|
|
@@ -46,13 +46,13 @@ Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
|
| 46 |
\hline
|
| 47 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 48 |
\midrule
|
| 49 |
-
& Reliability &
|
| 50 |
-
& Generality & 9.
|
| 51 |
-
& Paraphrase &
|
| 52 |
-
& Portability & 3.
|
| 53 |
-
& Counterfactual &
|
| 54 |
-
& Factual & 6.
|
| 55 |
-
& Locality & 32.
|
| 56 |
\hline
|
| 57 |
\end{tabular}
|
| 58 |
\caption{Monthly evaluation results for (2024)}
|
|
@@ -66,12 +66,12 @@ Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
|
| 66 |
\hline
|
| 67 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 68 |
\midrule
|
| 69 |
-
& Reliability & 10.
|
| 70 |
-
& Paraphrase & 7.
|
| 71 |
-
& Portability & 3.
|
| 72 |
-
& Counterfactual &
|
| 73 |
-
& Factual &
|
| 74 |
-
& Locality &
|
| 75 |
\hline
|
| 76 |
\end{tabular}
|
| 77 |
\caption{Monthly evaluation results for (2025)}
|
|
|
|
| 6 |
\hline
|
| 7 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
\midrule
|
| 9 |
+
& Reliability & 12.50 & 12.17 & 10.10 & 13.87 & 12.28 & 9.55 & 9.92 & 9.28 & 12.00 & 10.99 & 9.41 & 10.49 \\
|
| 10 |
+
& Generality & 14.48 & 14.17 & 9.94 & 10.48 & 10.67 & 9.15 & 13.80 & 9.87 & 9.46 & 12.30 & 11.69 & 13.06 \\
|
| 11 |
+
& Paraphrase & 8.45 & 8.95 & 7.62 & 9.59 & 11.36 & 7.63 & 9.08 & 7.04 & 8.79 & 9.49 & 9.99 & 9.06 \\
|
| 12 |
+
& Portability & 3.14 & 5.47 & 2.94 & 3.54 & 5.25 & 4.28 & 6.25 & 4.12 & 4.74 & 3.43 & 5.05 & 3.65 \\
|
| 13 |
+
& Counterfactual & 2.81 & 1.31 & 2.47 & 2.51 & 3.21 & 2.19 & 2.43 & 2.59 & 1.84 & 2.08 & 3.11 & 2.71 \\
|
| 14 |
+
& Factual & 7.66 & 6.69 & 7.41 & 7.44 & 7.63 & 7.81 & 8.08 & 8.18 & 7.61 & 7.69 & 7.27 & 8.54 \\
|
| 15 |
+
& Locality & 28.92 & 29.33 & 33.77 & 31.27 & 28.92 & 31.55 & 28.89 & 28.97 & 28.14 & 30.94 & 34.13 & 31.93 \\
|
| 16 |
\hline
|
| 17 |
\end{tabular}
|
| 18 |
\caption{Monthly evaluation results for (2022)}
|
|
|
|
| 26 |
\hline
|
| 27 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 28 |
\midrule
|
| 29 |
+
& Reliability & 14.19 & 11.02 & 11.03 & 10.04 & 9.68 & 11.79 & 8.87 & 9.53 & 9.10 & 9.46 & 9.37 & 11.41 \\
|
| 30 |
+
& Generality & 12.10 & 11.40 & 11.87 & 14.78 & 11.00 & 11.25 & 10.55 & 10.97 & 10.62 & 10.35 & 9.07 & 10.57 \\
|
| 31 |
+
& Paraphrase & 8.52 & 9.48 & 10.10 & 9.51 & 7.87 & 12.13 & 11.74 & 8.07 & 8.41 & 5.88 & 7.61 & 8.22 \\
|
| 32 |
+
& Portability & 4.48 & 6.36 & 3.96 & 4.71 & 6.58 & 3.77 & 5.20 & 4.70 & 5.16 & 2.78 & 2.57 & 2.55 \\
|
| 33 |
+
& Counterfactual & 2.50 & 1.93 & 3.33 & 2.54 & 2.93 & 2.77 & 1.91 & 2.60 & 2.90 & 2.45 & 1.82 & 3.01 \\
|
| 34 |
+
& Factual & 8.69 & 8.55 & 10.25 & 7.94 & 8.69 & 8.11 & 8.98 & 9.89 & 6.93 & 8.90 & 5.85 & 8.33 \\
|
| 35 |
+
& Locality & 33.22 & 31.04 & 31.88 & 34.22 & 32.90 & 32.46 & 29.90 & 30.31 & 32.36 & 30.23 & 27.92 & 29.60 \\
|
| 36 |
\hline
|
| 37 |
\end{tabular}
|
| 38 |
\caption{Monthly evaluation results for (2023)}
|
|
|
|
| 46 |
\hline
|
| 47 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 48 |
\midrule
|
| 49 |
+
& Reliability & 11.88 & 10.44 & 10.33 & 10.52 & 9.15 & 11.24 & 8.26 & 7.60 & 9.64 & 10.55 & 8.08 & 8.12 \\
|
| 50 |
+
& Generality & 9.17 & 10.30 & 13.09 & 11.41 & 12.73 & 11.69 & 11.40 & 14.47 & 12.07 & 9.74 & 9.99 & 11.22 \\
|
| 51 |
+
& Paraphrase & 7.49 & 8.22 & 6.50 & 8.64 & 8.04 & 7.36 & 8.30 & 6.34 & 7.55 & 9.46 & 6.59 & 8.38 \\
|
| 52 |
+
& Portability & 3.51 & 1.68 & 3.84 & 3.98 & 2.72 & 3.11 & 3.41 & 5.30 & 4.26 & 3.83 & 2.68 & 2.97 \\
|
| 53 |
+
& Counterfactual & 3.24 & 2.42 & 2.70 & 2.38 & 2.34 & 3.84 & 3.37 & 3.30 & 3.82 & 1.99 & 2.04 & 3.87 \\
|
| 54 |
+
& Factual & 6.72 & 7.77 & 7.38 & 8.86 & 11.26 & 8.37 & 5.82 & 7.69 & 7.46 & 8.07 & 6.58 & 8.12 \\
|
| 55 |
+
& Locality & 32.54 & 29.49 & 32.87 & 34.19 & 29.06 & 29.84 & 29.54 & 33.75 & 33.35 & 30.80 & 29.29 & 31.29 \\
|
| 56 |
\hline
|
| 57 |
\end{tabular}
|
| 58 |
\caption{Monthly evaluation results for (2024)}
|
|
|
|
| 66 |
\hline
|
| 67 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 68 |
\midrule
|
| 69 |
+
& Reliability & 10.23 & 9.41 & 8.57 & 11.16 & & & & & & & & \\
|
| 70 |
+
& Paraphrase & 7.95 & 8.47 & 6.62 & 6.19 & & & & & & & & \\
|
| 71 |
+
& Portability & 3.07 & 3.64 & 4.18 & 4.21 & & & & & & & & \\
|
| 72 |
+
& Counterfactual & 4.10 & 1.88 & 1.53 & 1.06 & & & & & & & & \\
|
| 73 |
+
& Factual & 6.26 & 7.15 & 7.51 & 8.18 & & & & & & & & \\
|
| 74 |
+
& Locality & 38.47 & 37.29 & 35.32 & 44.11 & & & & & & & & \\
|
| 75 |
\hline
|
| 76 |
\end{tabular}
|
| 77 |
\caption{Monthly evaluation results for (2025)}
|
YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.csv
CHANGED
|
@@ -1,2 +1,2 @@
|
|
| 1 |
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
-
10.
|
|
|
|
| 1 |
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
+
10.40987854572298,11.4781050326799,8.45343861601322,4.08706807265829,2.6061912333916095,7.895794933931377,31.708239273221697
|
YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.tex
CHANGED
|
@@ -1,2 +1,2 @@
|
|
| 1 |
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
-
& 10.41 & 11.
|
|
|
|
| 1 |
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
+
& 10.41 & 11.48 & 8.45 & 4.09 & 2.61 & 7.90 & 31.71 \\
|
YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy.tex
CHANGED
|
@@ -6,13 +6,13 @@
|
|
| 6 |
\hline
|
| 7 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
\midrule
|
| 9 |
-
& Reliability & 8.
|
| 10 |
-
& Generality & 13.
|
| 11 |
-
& Paraphrase &
|
| 12 |
-
& Portability & 1.70 & 1.36 &
|
| 13 |
-
& Counterfactual &
|
| 14 |
-
& Factual &
|
| 15 |
-
& Locality &
|
| 16 |
\hline
|
| 17 |
\end{tabular}
|
| 18 |
\caption{Monthly evaluation results for (2022)}
|
|
@@ -26,13 +26,13 @@ Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
|
| 26 |
\hline
|
| 27 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 28 |
\midrule
|
| 29 |
-
& Reliability &
|
| 30 |
-
& Generality & 9.
|
| 31 |
-
& Paraphrase & 5.78 &
|
| 32 |
-
& Portability & 1.
|
| 33 |
-
& Counterfactual &
|
| 34 |
-
& Factual &
|
| 35 |
-
& Locality &
|
| 36 |
\hline
|
| 37 |
\end{tabular}
|
| 38 |
\caption{Monthly evaluation results for (2023)}
|
|
@@ -46,13 +46,13 @@ Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
|
| 46 |
\hline
|
| 47 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 48 |
\midrule
|
| 49 |
-
& Reliability & 6.98 & 8.14 &
|
| 50 |
-
& Generality &
|
| 51 |
-
& Paraphrase &
|
| 52 |
-
& Portability & 1.
|
| 53 |
-
& Counterfactual &
|
| 54 |
-
& Factual & 14.
|
| 55 |
-
& Locality &
|
| 56 |
\hline
|
| 57 |
\end{tabular}
|
| 58 |
\caption{Monthly evaluation results for (2024)}
|
|
@@ -66,12 +66,12 @@ Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
|
| 66 |
\hline
|
| 67 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 68 |
\midrule
|
| 69 |
-
& Reliability &
|
| 70 |
-
& Paraphrase &
|
| 71 |
-
& Portability & 1.
|
| 72 |
-
& Counterfactual &
|
| 73 |
-
& Factual &
|
| 74 |
-
& Locality &
|
| 75 |
\hline
|
| 76 |
\end{tabular}
|
| 77 |
\caption{Monthly evaluation results for (2025)}
|
|
|
|
| 6 |
\hline
|
| 7 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
\midrule
|
| 9 |
+
& Reliability & 8.87 & 6.25 & 5.95 & 12.42 & 9.54 & 5.98 & 7.50 & 6.73 & 6.53 & 7.84 & 6.73 & 6.49 \\
|
| 10 |
+
& Generality & 13.71 & 11.51 & 8.04 & 8.48 & 8.22 & 8.26 & 13.33 & 8.65 & 8.52 & 11.03 & 10.70 & 10.82 \\
|
| 11 |
+
& Paraphrase & 5.44 & 4.93 & 5.65 & 8.18 & 8.55 & 5.41 & 5.00 & 4.17 & 5.68 & 5.15 & 6.12 & 6.93 \\
|
| 12 |
+
& Portability & 1.70 & 1.36 & 1.27 & 1.67 & 2.27 & 1.52 & 3.40 & 1.79 & 2.03 & 1.01 & 3.83 & 1.79 \\
|
| 13 |
+
& Counterfactual & 6.85 & 3.95 & 4.76 & 6.97 & 9.21 & 5.13 & 5.83 & 7.05 & 5.40 & 4.41 & 7.65 & 6.93 \\
|
| 14 |
+
& Factual & 16.94 & 13.49 & 18.45 & 15.45 & 18.09 & 16.24 & 16.94 & 17.31 & 16.19 & 16.91 & 17.13 & 18.61 \\
|
| 15 |
+
& Locality & 24.72 & 26.36 & 30.80 & 26.36 & 25.45 & 27.00 & 26.42 & 26.01 & 23.17 & 28.96 & 31.06 & 25.60 \\
|
| 16 |
\hline
|
| 17 |
\end{tabular}
|
| 18 |
\caption{Monthly evaluation results for (2022)}
|
|
|
|
| 26 |
\hline
|
| 27 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 28 |
\midrule
|
| 29 |
+
& Reliability & 9.64 & 7.14 & 8.85 & 6.79 & 6.56 & 7.11 & 6.75 & 6.46 & 5.37 & 7.26 & 4.60 & 7.48 \\
|
| 30 |
+
& Generality & 9.40 & 8.93 & 10.16 & 12.50 & 9.38 & 7.95 & 8.68 & 9.52 & 9.25 & 8.06 & 6.69 & 11.68 \\
|
| 31 |
+
& Paraphrase & 5.78 & 5.36 & 6.77 & 6.43 & 4.06 & 9.62 & 9.00 & 6.46 & 5.97 & 5.24 & 3.77 & 5.61 \\
|
| 32 |
+
& Portability & 1.35 & 1.69 & 2.05 & 1.88 & 3.32 & 1.09 & 3.25 & 2.84 & 2.67 & 0.63 & 0.68 & 0.74 \\
|
| 33 |
+
& Counterfactual & 5.78 & 5.36 & 7.03 & 6.07 & 6.56 & 7.11 & 5.47 & 6.80 & 7.76 & 6.85 & 3.77 & 8.41 \\
|
| 34 |
+
& Factual & 17.35 & 15.62 & 20.83 & 18.57 & 16.56 & 15.90 & 18.01 & 19.73 & 14.63 & 16.53 & 11.30 & 17.29 \\
|
| 35 |
+
& Locality & 28.28 & 26.97 & 27.74 & 29.58 & 28.22 & 27.32 & 26.42 & 27.01 & 28.00 & 25.79 & 23.29 & 29.41 \\
|
| 36 |
\hline
|
| 37 |
\end{tabular}
|
| 38 |
\caption{Monthly evaluation results for (2023)}
|
|
|
|
| 46 |
\hline
|
| 47 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 48 |
\midrule
|
| 49 |
+
& Reliability & 6.98 & 8.14 & 7.96 & 6.22 & 6.88 & 8.33 & 5.42 & 3.25 & 6.37 & 7.25 & 5.97 & 5.37 \\
|
| 50 |
+
& Generality & 8.97 & 10.17 & 11.46 & 9.84 & 11.59 & 11.74 & 7.58 & 10.47 & 10.11 & 8.70 & 8.96 & 7.80 \\
|
| 51 |
+
& Paraphrase & 3.32 & 6.44 & 4.14 & 4.66 & 5.80 & 4.92 & 5.78 & 3.25 & 5.24 & 6.88 & 5.22 & 5.85 \\
|
| 52 |
+
& Portability & 1.01 & 0.00 & 2.31 & 1.81 & 0.00 & 1.56 & 1.56 & 3.33 & 2.82 & 0.57 & 1.84 & 0.00 \\
|
| 53 |
+
& Counterfactual & 7.31 & 5.42 & 6.37 & 6.99 & 6.16 & 9.09 & 8.30 & 7.58 & 6.37 & 5.07 & 6.34 & 6.83 \\
|
| 54 |
+
& Factual & 14.29 & 16.95 & 14.65 & 17.88 & 21.01 & 16.67 & 12.27 & 16.25 & 14.61 & 17.39 & 13.43 & 19.02 \\
|
| 55 |
+
& Locality & 28.79 & 26.79 & 27.78 & 29.71 & 26.32 & 22.92 & 26.04 & 30.00 & 30.99 & 25.86 & 25.15 & 26.77 \\
|
| 56 |
\hline
|
| 57 |
\end{tabular}
|
| 58 |
\caption{Monthly evaluation results for (2024)}
|
|
|
|
| 66 |
\hline
|
| 67 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 68 |
\midrule
|
| 69 |
+
& Reliability & 6.94 & 5.67 & 5.35 & 6.38 & & & & & & & & \\
|
| 70 |
+
& Paraphrase & 5.02 & 5.00 & 3.89 & 2.84 & & & & & & & & \\
|
| 71 |
+
& Portability & 1.30 & 1.03 & 1.28 & 0.00 & & & & & & & & \\
|
| 72 |
+
& Counterfactual & 7.66 & 4.33 & 3.65 & 3.55 & & & & & & & & \\
|
| 73 |
+
& Factual & 15.07 & 17.00 & 17.03 & 20.57 & & & & & & & & \\
|
| 74 |
+
& Locality & 32.61 & 29.90 & 30.21 & 36.67 & & & & & & & & \\
|
| 75 |
\hline
|
| 76 |
\end{tabular}
|
| 77 |
\caption{Monthly evaluation results for (2025)}
|
YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.csv
CHANGED
|
@@ -1,2 +1,2 @@
|
|
| 1 |
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
-
7.
|
|
|
|
| 1 |
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
+
7.030105777054516,9.854809437386571,5.5899104963384865,1.7411764705882353,6.297803091944671,16.696501220504476,27.564705882352943
|
YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.tex
CHANGED
|
@@ -1,2 +1,2 @@
|
|
| 1 |
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
-
& 7.
|
|
|
|
| 1 |
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
+
& 7.03 & 9.85 & 5.59 & 1.74 & 6.30 & 16.70 & 27.56 \\
|
YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1.tex
CHANGED
|
@@ -6,13 +6,13 @@
|
|
| 6 |
\hline
|
| 7 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
\midrule
|
| 9 |
-
& Reliability &
|
| 10 |
-
& Generality & 14.
|
| 11 |
-
& Paraphrase & 8.
|
| 12 |
-
& Portability &
|
| 13 |
-
& Counterfactual &
|
| 14 |
-
& Factual &
|
| 15 |
-
& Locality &
|
| 16 |
\hline
|
| 17 |
\end{tabular}
|
| 18 |
\caption{Monthly evaluation results for (2022)}
|
|
|
|
| 6 |
\hline
|
| 7 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
|
| 8 |
\midrule
|
| 9 |
+
& Reliability & 14.59 & & & & & & & & & & & \\
|
| 10 |
+
& Generality & 14.86 & & & & & & & & & & & \\
|
| 11 |
+
& Paraphrase & 8.70 & & & & & & & & & & & \\
|
| 12 |
+
& Portability & 5.62 & & & & & & & & & & & \\
|
| 13 |
+
& Counterfactual & 3.18 & & & & & & & & & & & \\
|
| 14 |
+
& Factual & 9.67 & & & & & & & & & & & \\
|
| 15 |
+
& Locality & 31.81 & & & & & & & & & & & \\
|
| 16 |
\hline
|
| 17 |
\end{tabular}
|
| 18 |
\caption{Monthly evaluation results for (2022)}
|
YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.csv
CHANGED
|
@@ -1,2 +1,2 @@
|
|
| 1 |
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
-
|
|
|
|
| 1 |
reliability,generality,paraphrase,portability,counterfactual,factual,locality
|
| 2 |
+
14.591097791097788,14.855383505383504,8.70067155067155,5.6197908371821415,3.1818181818181817,9.669047619047618,31.80699332873246
|
YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.tex
CHANGED
|
@@ -1,2 +1,2 @@
|
|
| 1 |
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
-
&
|
|
|
|
| 1 |
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
+
& 14.59 & 14.86 & 8.70 & 5.62 & 3.18 & 9.67 & 31.81 \\
|
YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy.tex
CHANGED
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@@ -6,13 +6,13 @@
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| 6 |
\hline
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| 7 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
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| 8 |
\midrule
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| 9 |
-
& Reliability &
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| 10 |
-
& Generality &
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| 11 |
-
& Paraphrase &
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| 12 |
-
& Portability &
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| 13 |
-
& Counterfactual &
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| 14 |
-
& Factual &
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| 15 |
-
& Locality &
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| 16 |
\hline
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| 17 |
\end{tabular}
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| 18 |
\caption{Monthly evaluation results for (2022)}
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|
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| 6 |
\hline
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| 7 |
Model & Type & 01 & 02 & 03 & 04 & 05 & 06 & 07 & 08 & 09 & 10 & 11 & 12 \\
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| 8 |
\midrule
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| 9 |
+
& Reliability & 9.00 & & & & & & & & & & & \\
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| 10 |
+
& Generality & 15.00 & & & & & & & & & & & \\
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| 11 |
+
& Paraphrase & 7.00 & & & & & & & & & & & \\
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| 12 |
+
& Portability & 5.80 & & & & & & & & & & & \\
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| 13 |
+
& Counterfactual & 6.00 & & & & & & & & & & & \\
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| 14 |
+
& Factual & 19.00 & & & & & & & & & & & \\
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| 15 |
+
& Locality & 24.64 & & & & & & & & & & & \\
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| 16 |
\hline
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| 17 |
\end{tabular}
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| 18 |
\caption{Monthly evaluation results for (2022)}
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YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.csv
CHANGED
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@@ -1,2 +1,2 @@
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| 1 |
reliability,generality,paraphrase,portability,counterfactual,factual,locality
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| 2 |
-
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|
|
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| 1 |
reliability,generality,paraphrase,portability,counterfactual,factual,locality
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| 2 |
+
9.0,15.0,7.000000000000001,5.797101449275362,6.0,19.0,24.637681159420293
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YWZBrandon-google_gemma-3-1b-pt_full_upsample1000_predict_mask_evalds100/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.tex
CHANGED
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@@ -1,2 +1,2 @@
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| 1 |
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
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| 2 |
-
&
|
|
|
|
| 1 |
& reliability & generality & paraphrase & portability & counterfactual & factual & locality \\
|
| 2 |
+
& 9.00 & 15.00 & 7.00 & 5.80 & 6.00 & 19.00 & 24.64 \\
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