Upload folder using huggingface_hub
Browse files- .gitattributes +8 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_2_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json +3 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_3_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json +3 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_3_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1.tex +78 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_3_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.csv +2 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_3_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.tex +2 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_3_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy.tex +78 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_3_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.csv +2 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_3_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.tex +2 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_4_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json +3 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_5_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json +3 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_6_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json +3 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_7_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json +3 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_8_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json +3 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_8_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1.tex +78 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_8_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.csv +2 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_8_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1_by_type.tex +2 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_8_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy.tex +78 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_8_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.csv +2 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_8_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy_by_type.tex +2 -0
- YWZBrandon-google_flan-t5-large_semantic_10_clusters_9_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json +3 -0
.gitattributes
CHANGED
|
@@ -58,3 +58,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 58 |
*.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 59 |
*.webm filter=lfs diff=lfs merge=lfs -text
|
| 60 |
meta-llama-Llama-3.1-8B/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 58 |
*.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 59 |
*.webm filter=lfs diff=lfs merge=lfs -text
|
| 60 |
meta-llama-Llama-3.1-8B/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
|
| 61 |
+
YWZBrandon-google_flan-t5-large_semantic_10_clusters_2_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
|
| 62 |
+
YWZBrandon-google_flan-t5-large_semantic_10_clusters_3_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
|
| 63 |
+
YWZBrandon-google_flan-t5-large_semantic_10_clusters_4_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
|
| 64 |
+
YWZBrandon-google_flan-t5-large_semantic_10_clusters_5_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
|
| 65 |
+
YWZBrandon-google_flan-t5-large_semantic_10_clusters_6_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
|
| 66 |
+
YWZBrandon-google_flan-t5-large_semantic_10_clusters_7_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
|
| 67 |
+
YWZBrandon-google_flan-t5-large_semantic_10_clusters_8_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
|
| 68 |
+
YWZBrandon-google_flan-t5-large_semantic_10_clusters_9_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json filter=lfs diff=lfs merge=lfs -text
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_2_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3c505114e1a83961041311dc2e63847aafdc4f7ce767a926992287cff4bb7a7d
|
| 3 |
+
size 69046898
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_3_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8b8f8042ae50737af2eace3f376c618c10dd075a5aee9ce14521cd7e99ac1772
|
| 3 |
+
size 69362115
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_3_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1.tex
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 & 9.12 & 10.38 & 9.33 & 8.89 & 9.31 & 8.17 & 9.15 & 6.66 & 7.52 & 8.99 & 8.98 & 7.78 \\
|
| 10 |
+
& Generality & 10.00 & 10.58 & 11.13 & 7.77 & 8.15 & 9.72 & 10.07 & 8.60 & 10.87 & 10.23 & 8.73 & 8.30 \\
|
| 11 |
+
& Paraphrase & 8.75 & 10.87 & 10.05 & 8.58 & 8.04 & 7.57 & 8.40 & 6.73 & 7.04 & 8.47 & 8.58 & 7.55 \\
|
| 12 |
+
& Portability & 6.38 & 5.66 & 6.41 & 4.04 & 7.40 & 5.76 & 4.93 & 4.35 & 5.30 & 6.44 & 4.63 & 4.22 \\
|
| 13 |
+
& Counterfactual & 27.29 & 23.18 & 24.64 & 22.83 & 25.82 & 28.30 & 23.83 & 28.29 & 27.82 & 26.02 & 27.78 & 26.03 \\
|
| 14 |
+
& Factual & 0.05 & 0.16 & 0.21 & 0.12 & 0.07 & 0.13 & 0.22 & 0.00 & 0.00 & 0.07 & 0.43 & 0.00 \\
|
| 15 |
+
& Locality & 10.09 & 10.00 & 9.92 & 10.04 & 10.00 & 10.08 & 9.81 & 9.87 & 10.37 & 10.10 & 9.57 & 10.42 \\
|
| 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 & 8.83 & 8.84 & 10.01 & 9.71 & 13.41 & 10.36 & 9.31 & 9.69 & 7.24 & 8.30 & 7.39 & 9.99 \\
|
| 30 |
+
& Generality & 11.10 & 7.20 & 11.49 & 10.26 & 10.76 & 12.61 & 12.40 & 12.12 & 8.82 & 8.98 & 7.58 & 9.41 \\
|
| 31 |
+
& Paraphrase & 8.33 & 6.88 & 9.00 & 8.43 & 11.38 & 9.82 & 7.94 & 9.11 & 7.18 & 8.45 & 6.27 & 9.23 \\
|
| 32 |
+
& Portability & 4.89 & 4.26 & 5.70 & 5.70 & 6.50 & 6.69 & 4.27 & 4.33 & 3.73 & 7.01 & 4.24 & 7.10 \\
|
| 33 |
+
& Counterfactual & 27.59 & 27.90 & 23.93 & 30.66 & 26.59 & 25.89 & 34.20 & 31.12 & 28.35 & 27.79 & 25.00 & 26.99 \\
|
| 34 |
+
& Factual & 0.00 & 0.33 & 0.44 & 0.26 & 0.31 & 0.29 & 0.07 & 0.17 & 0.00 & 0.19 & 0.08 & 0.00 \\
|
| 35 |
+
& Locality & 10.10 & 9.55 & 10.10 & 10.09 & 9.96 & 9.84 & 9.96 & 10.19 & 10.00 & 9.75 & 9.93 & 10.29 \\
|
| 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 & 6.83 & 8.52 & 7.21 & 9.77 & 8.02 & 6.74 & 10.41 & 15.92 & 10.95 & 9.95 & 8.88 & 7.94 \\
|
| 50 |
+
& Generality & 8.67 & 7.85 & 10.00 & 9.98 & 11.62 & 8.97 & 6.91 & 16.55 & 8.88 & 10.32 & 7.58 & 6.39 \\
|
| 51 |
+
& Paraphrase & 6.41 & 7.94 & 6.97 & 9.51 & 7.72 & 7.80 & 8.76 & 13.49 & 8.82 & 8.57 & 6.53 & 6.27 \\
|
| 52 |
+
& Portability & 5.84 & 4.54 & 4.62 & 7.29 & 5.95 & 5.54 & 5.70 & 8.29 & 4.25 & 5.86 & 3.26 & 4.87 \\
|
| 53 |
+
& Counterfactual & 22.28 & 22.21 & 24.03 & 24.67 & 28.94 & 23.04 & 27.88 & 20.95 & 27.76 & 24.48 & 21.28 & 25.27 \\
|
| 54 |
+
& Factual & 0.00 & 0.08 & 0.05 & 0.13 & 0.07 & 0.43 & 0.17 & 0.00 & 0.09 & 0.08 & 0.08 & 0.11 \\
|
| 55 |
+
& Locality & 9.85 & 9.81 & 10.19 & 10.14 & 9.74 & 10.16 & 10.16 & 10.00 & 9.86 & 9.77 & 10.43 & 9.84 \\
|
| 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 & 8.73 & 8.01 & 5.33 & 10.55 & & & & & & & & \\
|
| 70 |
+
& Paraphrase & 8.76 & 6.40 & 5.49 & 8.71 & & & & & & & & \\
|
| 71 |
+
& Portability & 3.87 & 5.08 & 2.43 & 8.46 & & & & & & & & \\
|
| 72 |
+
& Counterfactual & 29.03 & 26.91 & 25.16 & 28.40 & & & & & & & & \\
|
| 73 |
+
& Factual & 0.22 & 0.00 & 0.10 & 0.35 & & & & & & & & \\
|
| 74 |
+
& Locality & 25.52 & 24.59 & 24.53 & 26.54 & & & & & & & & \\
|
| 75 |
+
\hline
|
| 76 |
+
\end{tabular}
|
| 77 |
+
\caption{Monthly evaluation results for (2025)}
|
| 78 |
+
\end{table}
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_3_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 |
+
8.97272019795114,9.836173783563282,8.281974945235373,5.373260066993439,26.25809553433662,0.13577481193429117,11.33462184873955
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_3_full_upsample1000/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 |
+
& 8.97 & 9.84 & 8.28 & 5.37 & 26.26 & 0.14 & 11.33 \\
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_3_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy.tex
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 & 6.25 & 7.24 & 6.85 & 6.36 & 6.58 & 5.70 & 6.39 & 3.85 & 4.26 & 4.90 & 5.50 & 4.76 \\
|
| 10 |
+
& Generality & 7.06 & 5.92 & 8.04 & 6.06 & 3.95 & 6.84 & 6.67 & 4.49 & 6.53 & 6.13 & 6.12 & 5.63 \\
|
| 11 |
+
& Paraphrase & 6.25 & 7.24 & 5.95 & 6.36 & 5.59 & 4.84 & 5.28 & 4.17 & 3.69 & 4.41 & 5.20 & 4.76 \\
|
| 12 |
+
& Portability & 4.26 & 3.18 & 4.22 & 2.09 & 3.18 & 2.28 & 2.64 & 1.79 & 2.85 & 2.69 & 2.55 & 1.19 \\
|
| 13 |
+
& Counterfactual & 42.54 & 37.50 & 38.10 & 38.18 & 38.49 & 42.74 & 39.17 & 49.68 & 44.03 & 39.95 & 40.98 & 38.53 \\
|
| 14 |
+
& Factual & 0.20 & 0.33 & 0.89 & 0.61 & 0.33 & 0.57 & 0.83 & 0.00 & 0.00 & 0.74 & 1.22 & 0.00 \\
|
| 15 |
+
& Locality & 5.11 & 5.00 & 4.64 & 5.02 & 5.00 & 5.32 & 4.91 & 4.93 & 4.88 & 5.05 & 5.11 & 4.76 \\
|
| 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 & 6.02 & 4.46 & 6.25 & 6.07 & 10.00 & 7.11 & 6.43 & 7.48 & 4.18 & 6.05 & 3.77 & 7.01 \\
|
| 30 |
+
& Generality & 8.43 & 3.57 & 7.81 & 5.71 & 7.50 & 7.95 & 8.04 & 7.82 & 5.67 & 4.03 & 4.60 & 6.07 \\
|
| 31 |
+
& Paraphrase & 5.78 & 3.57 & 4.43 & 3.93 & 8.12 & 6.69 & 5.14 & 6.80 & 4.18 & 5.24 & 2.93 & 6.54 \\
|
| 32 |
+
& Portability & 3.03 & 0.56 & 2.40 & 2.82 & 2.90 & 3.28 & 2.03 & 2.37 & 0.89 & 3.77 & 1.37 & 4.41 \\
|
| 33 |
+
& Counterfactual & 39.76 & 39.73 & 36.98 & 45.00 & 39.69 & 37.66 & 47.91 & 42.18 & 41.49 & 40.73 & 37.66 & 35.98 \\
|
| 34 |
+
& Factual & 0.00 & 0.89 & 1.30 & 0.71 & 0.62 & 0.84 & 0.32 & 0.68 & 0.00 & 0.81 & 0.42 & 0.00 \\
|
| 35 |
+
& Locality & 5.05 & 5.06 & 5.14 & 4.69 & 4.98 & 4.92 & 5.28 & 4.74 & 5.33 & 4.40 & 5.48 & 5.15 \\
|
| 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 & 4.65 & 6.44 & 4.46 & 7.77 & 4.71 & 4.92 & 7.94 & 11.91 & 7.87 & 7.25 & 6.72 & 4.88 \\
|
| 50 |
+
& Generality & 6.31 & 4.75 & 7.32 & 7.51 & 8.33 & 6.44 & 5.05 & 11.55 & 5.24 & 6.88 & 4.48 & 3.90 \\
|
| 51 |
+
& Paraphrase & 3.99 & 5.42 & 4.46 & 6.74 & 3.99 & 4.92 & 6.50 & 9.39 & 5.99 & 6.16 & 4.85 & 3.41 \\
|
| 52 |
+
& Portability & 2.53 & 1.91 & 2.31 & 4.71 & 2.63 & 2.60 & 3.65 & 3.33 & 2.82 & 3.45 & 1.23 & 3.15 \\
|
| 53 |
+
& Counterfactual & 35.88 & 36.61 & 35.99 & 39.38 & 41.67 & 33.71 & 41.16 & 34.66 & 42.32 & 39.86 & 35.45 & 37.56 \\
|
| 54 |
+
& Factual & 0.00 & 0.34 & 0.32 & 0.78 & 0.36 & 1.52 & 0.72 & 0.00 & 0.75 & 0.72 & 0.37 & 0.49 \\
|
| 55 |
+
& Locality & 4.55 & 5.26 & 5.09 & 5.07 & 4.74 & 5.21 & 4.69 & 5.00 & 4.93 & 5.17 & 4.91 & 5.51 \\
|
| 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 & 5.26 & 5.00 & 3.65 & 7.09 & & & & & & & & \\
|
| 70 |
+
& Paraphrase & 5.02 & 4.00 & 3.65 & 6.38 & & & & & & & & \\
|
| 71 |
+
& Portability & 1.74 & 3.09 & 1.28 & 3.33 & & & & & & & & \\
|
| 72 |
+
& Counterfactual & 44.98 & 42.33 & 36.50 & 43.26 & & & & & & & & \\
|
| 73 |
+
& Factual & 0.96 & 1.00 & 0.49 & 0.71 & & & & & & & & \\
|
| 74 |
+
& Locality & 26.09 & 24.23 & 24.68 & 27.78 & & & & & & & & \\
|
| 75 |
+
\hline
|
| 76 |
+
\end{tabular}
|
| 77 |
+
\caption{Monthly evaluation results for (2025)}
|
| 78 |
+
\end{table}
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_3_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 |
+
6.061838893409275,6.460980036297641,5.296989422294549,2.6823529411764704,40.016273393002436,0.5451586655817738,6.800000000000001
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_3_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 |
+
& 6.06 & 6.46 & 5.30 & 2.68 & 40.02 & 0.55 & 6.80 \\
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_4_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8bee9b268bca8931699dfe2aa27235fdd98b23ea1e79b3e341d85175db9df053
|
| 3 |
+
size 69156555
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_5_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:389b40c1059a66b8bc7eb1ea3fcf184ca153874fccfe1f3c0ba1e7d6b8002a5e
|
| 3 |
+
size 69469825
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_6_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4073d0942e966fd8843af8aedcdbee68d9c31fd00b99dca895997a75e8fd36ec
|
| 3 |
+
size 69034710
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_7_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f3a69820f11f955772e03d341da33d0b28be83044be66f64ae643f954f3580ef
|
| 3 |
+
size 69221396
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_8_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:df5ceaf7f43dac4dc0ffed22314ad5d65e7ac57e0cb8d1cbc213f5c4b0da2e49
|
| 3 |
+
size 68964719
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_8_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_avg_f1.tex
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 & 9.52 & 11.06 & 8.25 & 8.81 & 9.49 & 8.18 & 9.52 & 9.88 & 10.45 & 8.65 & 8.78 & 11.69 \\
|
| 10 |
+
& Generality & 9.69 & 9.61 & 8.50 & 9.41 & 9.75 & 9.01 & 8.13 & 9.93 & 11.16 & 9.27 & 7.37 & 11.26 \\
|
| 11 |
+
& Paraphrase & 8.99 & 8.93 & 6.58 & 7.53 & 8.44 & 7.65 & 7.43 & 7.23 & 9.53 & 6.87 & 7.81 & 8.94 \\
|
| 12 |
+
& Portability & 3.71 & 4.79 & 2.86 & 2.55 & 3.43 & 2.64 & 4.15 & 2.25 & 2.58 & 2.99 & 4.08 & 3.22 \\
|
| 13 |
+
& Counterfactual & 1.31 & 0.16 & 0.60 & 1.21 & 0.16 & 1.14 & 1.39 & 0.96 & 0.43 & 1.29 & 0.89 & 0.43 \\
|
| 14 |
+
& Factual & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\
|
| 15 |
+
& Locality & 28.45 & 28.67 & 28.61 & 28.79 & 28.67 & 28.72 & 28.88 & 28.58 & 28.54 & 28.62 & 29.11 & 28.13 \\
|
| 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 & 11.68 & 12.11 & 9.69 & 8.39 & 9.66 & 10.14 & 8.80 & 10.64 & 8.66 & 6.54 & 5.37 & 3.94 \\
|
| 30 |
+
& Generality & 10.71 & 7.95 & 12.16 & 9.27 & 11.29 & 9.90 & 7.22 & 10.09 & 7.76 & 8.88 & 9.60 & 7.96 \\
|
| 31 |
+
& Paraphrase & 8.71 & 9.37 & 8.06 & 7.87 & 7.45 & 8.88 & 7.83 & 9.59 & 7.26 & 5.23 & 6.95 & 4.02 \\
|
| 32 |
+
& Portability & 2.39 & 4.13 & 3.01 & 4.86 & 1.80 & 3.53 & 1.56 & 2.94 & 3.25 & 3.40 & 2.81 & 1.37 \\
|
| 33 |
+
& Counterfactual & 0.72 & 0.00 & 2.15 & 0.14 & 0.47 & 1.05 & 1.61 & 2.04 & 2.24 & 1.21 & 0.63 & 0.93 \\
|
| 34 |
+
& Factual & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.17 & 0.00 & 0.00 & 0.09 & 0.00 & 0.00 & 0.00 \\
|
| 35 |
+
& Locality & 28.62 & 28.99 & 28.40 & 28.83 & 28.55 & 28.56 & 28.78 & 28.63 & 28.77 & 28.22 & 29.54 & 28.04 \\
|
| 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 & 10.08 & 9.49 & 6.89 & 8.37 & 9.68 & 9.01 & 10.56 & 8.51 & 9.12 & 7.67 & 9.88 & 12.56 \\
|
| 50 |
+
& Generality & 10.52 & 8.47 & 7.60 & 8.45 & 13.64 & 11.19 & 11.70 & 10.87 & 8.31 & 9.44 & 9.78 & 13.67 \\
|
| 51 |
+
& Paraphrase & 7.46 & 8.32 & 6.80 & 6.32 & 8.38 & 8.28 & 8.09 & 6.47 & 6.21 & 6.42 & 9.05 & 9.58 \\
|
| 52 |
+
& Portability & 2.31 & 2.36 & 1.67 & 2.55 & 3.34 & 3.07 & 2.53 & 2.88 & 0.73 & 2.18 & 3.98 & 2.48 \\
|
| 53 |
+
& Counterfactual & 1.16 & 0.85 & 0.64 & 1.21 & 1.63 & 1.33 & 1.08 & 0.90 & 1.12 & 0.36 & 0.34 & 0.49 \\
|
| 54 |
+
& Factual & 0.00 & 0.00 & 0.00 & 0.09 & 0.12 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\
|
| 55 |
+
& Locality & 28.45 & 29.19 & 28.43 & 28.72 & 28.77 & 28.26 & 28.99 & 28.67 & 28.73 & 28.70 & 28.75 & 28.40 \\
|
| 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 & 10.05 & 6.91 & 9.37 & 9.66 & & & & & & & & \\
|
| 70 |
+
& Paraphrase & 8.71 & 6.35 & 7.90 & 9.05 & & & & & & & & \\
|
| 71 |
+
& Portability & 3.97 & 1.38 & 2.31 & 4.69 & & & & & & & & \\
|
| 72 |
+
& Counterfactual & 0.96 & 0.33 & 0.49 & 1.42 & & & & & & & & \\
|
| 73 |
+
& Factual & 0.08 & 0.00 & 0.07 & 0.00 & & & & & & & & \\
|
| 74 |
+
& Locality & 6.09 & 5.41 & 5.96 & 6.48 & & & & & & & & \\
|
| 75 |
+
\hline
|
| 76 |
+
\end{tabular}
|
| 77 |
+
\caption{Monthly evaluation results for (2025)}
|
| 78 |
+
\end{table}
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_8_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 |
+
9.217665550298817,9.670723296520475,7.774093043477529,2.9253794897912546,0.9590452942771901,0.016040915959548995,26.656470588234992
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_8_full_upsample1000/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 |
+
& 9.22 & 9.67 & 7.77 & 2.93 & 0.96 & 0.02 & 26.66 \\
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_8_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval_match_accuracy.tex
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 & 7.46 & 7.24 & 6.25 & 6.36 & 7.57 & 5.70 & 6.39 & 8.33 & 7.39 & 5.64 & 5.81 & 10.39 \\
|
| 10 |
+
& Generality & 5.85 & 6.25 & 3.87 & 7.58 & 6.25 & 6.55 & 6.94 & 6.09 & 7.10 & 6.37 & 4.89 & 9.52 \\
|
| 11 |
+
& Paraphrase & 6.25 & 5.92 & 4.46 & 5.15 & 5.59 & 5.13 & 5.00 & 5.45 & 7.95 & 2.70 & 3.36 & 7.36 \\
|
| 12 |
+
& Portability & 1.99 & 2.73 & 1.69 & 1.26 & 0.91 & 0.00 & 1.13 & 0.45 & 1.63 & 0.00 & 1.28 & 1.79 \\
|
| 13 |
+
& Counterfactual & 1.81 & 0.33 & 0.89 & 1.82 & 0.33 & 1.42 & 1.94 & 1.28 & 0.57 & 1.96 & 1.22 & 0.87 \\
|
| 14 |
+
& Factual & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\
|
| 15 |
+
& Locality & 20.17 & 20.00 & 19.83 & 20.08 & 20.00 & 20.15 & 20.00 & 19.73 & 19.92 & 19.87 & 20.43 & 19.64 \\
|
| 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 & 9.40 & 7.59 & 8.07 & 4.29 & 6.56 & 7.53 & 7.40 & 8.50 & 6.27 & 4.84 & 4.18 & 2.34 \\
|
| 30 |
+
& Generality & 7.71 & 4.91 & 8.59 & 6.43 & 8.12 & 6.28 & 3.22 & 7.48 & 5.37 & 6.05 & 5.86 & 5.14 \\
|
| 31 |
+
& Paraphrase & 7.23 & 5.80 & 6.25 & 4.64 & 5.31 & 7.11 & 5.79 & 8.16 & 4.48 & 4.03 & 5.02 & 1.40 \\
|
| 32 |
+
& Portability & 0.67 & 1.12 & 0.68 & 0.00 & 0.00 & 2.19 & 0.41 & 1.90 & 0.44 & 1.26 & 0.00 & 0.00 \\
|
| 33 |
+
& Counterfactual & 0.96 & 0.00 & 2.60 & 0.36 & 0.62 & 1.26 & 1.61 & 2.72 & 2.69 & 1.21 & 0.84 & 1.40 \\
|
| 34 |
+
& Factual & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.42 & 0.00 & 0.00 & 0.30 & 0.00 & 0.00 & 0.00 \\
|
| 35 |
+
& Locality & 19.87 & 20.22 & 20.21 & 19.72 & 19.92 & 20.22 & 19.92 & 19.91 & 20.44 & 19.50 & 20.55 & 19.85 \\
|
| 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 & 8.31 & 7.12 & 4.78 & 5.70 & 6.88 & 7.95 & 7.22 & 6.14 & 5.99 & 5.43 & 8.21 & 11.71 \\
|
| 50 |
+
& Generality & 8.31 & 6.10 & 4.78 & 4.92 & 10.87 & 8.33 & 7.22 & 6.50 & 5.62 & 6.16 & 6.72 & 8.78 \\
|
| 51 |
+
& Paraphrase & 5.65 & 6.10 & 5.10 & 4.40 & 6.52 & 6.06 & 5.05 & 3.61 & 3.37 & 4.35 & 6.72 & 7.32 \\
|
| 52 |
+
& Portability & 1.01 & 0.96 & 0.46 & 0.36 & 1.05 & 1.56 & 0.00 & 1.11 & 0.00 & 0.57 & 1.84 & 0.79 \\
|
| 53 |
+
& Counterfactual & 1.66 & 1.36 & 0.96 & 1.81 & 2.17 & 1.52 & 1.44 & 1.08 & 1.50 & 0.36 & 0.75 & 0.49 \\
|
| 54 |
+
& Factual & 0.00 & 0.00 & 0.00 & 0.26 & 0.36 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\
|
| 55 |
+
& Locality & 19.70 & 20.10 & 19.91 & 20.29 & 19.47 & 20.31 & 19.79 & 20.00 & 20.42 & 19.54 & 20.25 & 20.47 \\
|
| 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 & 8.61 & 5.67 & 6.57 & 5.67 & & & & & & & & \\
|
| 70 |
+
& Paraphrase & 5.74 & 4.67 & 4.87 & 5.67 & & & & & & & & \\
|
| 71 |
+
& Portability & 1.74 & 0.52 & 0.85 & 2.22 & & & & & & & & \\
|
| 72 |
+
& Counterfactual & 1.44 & 0.67 & 0.73 & 1.42 & & & & & & & & \\
|
| 73 |
+
& Factual & 0.24 & 0.00 & 0.24 & 0.00 & & & & & & & & \\
|
| 74 |
+
& Locality & 5.22 & 4.64 & 5.11 & 5.56 & & & & & & & & \\
|
| 75 |
+
\hline
|
| 76 |
+
\end{tabular}
|
| 77 |
+
\caption{Monthly evaluation results for (2025)}
|
| 78 |
+
\end{table}
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_8_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 |
+
6.867371847030106,6.542649727767695,5.370219690805533,0.9529411764705882,1.2937347436940603,0.04882017900732303,18.69411764705882
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_8_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 |
+
& 6.87 & 6.54 & 5.37 & 0.95 & 1.29 & 0.05 & 18.69 \\
|
YWZBrandon-google_flan-t5-large_semantic_10_clusters_9_full_upsample1000/wikidyk2022-2025_01082025_gpt-4o_evalv2_pages_formatted_combined_v2_eval.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6d3652ac0c83b73d0b0b5b1dd70874c43a2238e363e265452adc75cc3a6d5862
|
| 3 |
+
size 69029186
|