Update README.md

README.md

@@ -25,19 +25,19 @@ license: apache-2.0
 
 We have created a new version of the benchmark with instances that are harder than the previous one. There has been a lot of progress in models
 over the last year as a result the previous version of the benchmark was saturated. The methodology is the same, we have also released the 
-dataset generation script which scans the top 100 Python projects to generate the instances. You can see it [here](https://huggingface.co/datasets/patched-codes/static-analysis-eval/blob/main/_script_for_gen.py). 
-The same [eval script](https://huggingface.co/datasets/patched-codes/static-analysis-eval/blob/main/_script_for_eval.py) works as before. You do not need to login to Semgrep anymore as we 
+dataset generation script which scans the top 100 Python projects to generate the instances. You can see it [here](_script_for_gen.py). 
+The same [eval script](_script_for_eval.py) works as before. You do not need to login to Semgrep anymore as we 
 only use their OSS rules for this version of the benchmark.
 
-The highest score a model can get on this benchmark is 100%, you can see the oracle run logs [here](https://huggingface.co/datasets/patched-codes/static-analysis-eval/blob/main/oracle-0-shot_semgrep_1.85.0_20240820_174931.log).
+The highest score a model can get on this benchmark is 100%, you can see the oracle run logs [here](oracle-0-shot_semgrep_1.85.0_20240820_174931.log).
 
 # New Evaluation
 
 | Model | Score | Logs |
 |:-----:|:-----:|:----:|
-| gpt-4o-mini | 52.21 | [link]()|
-| + 3-shot prompt | 53.98 | [link]()| 
-| + rag (embedding & reranking) | 58.41 | [link]() |
+| gpt-4o-mini | 52.21 | [link](gpt-4o-mini-0-shot_semgrep_1.85.0_20240820_201236.log)|
+| + 3-shot prompt | 53.10 | [link](gpt-4o-mini-3-shot_semgrep_1.85.0_20240820_213814.log)| 
+| + rag (embedding & reranking) | 58.41 | [link](gpt-4o-mini-3-shot-sim_semgrep_1.85.0_20240821_023541.log) |
 | + fine-tuned with [synth-vuln-fixes](https://huggingface.co/datasets/patched-codes/synth-vuln-fixes) | | [link]() |
 
 
@@ -87,34 +87,34 @@ API token already exists in /Users/user/.semgrep/settings.yml. To login with a d
 ```
 
 After the run, the script will also create a log file which captures the stats for the run and the files that were fixed.
-You can see an example [here](https://huggingface.co/datasets/patched-codes/static-analysis-eval/blob/main/gpt-4o-mini_semgrep_1.85.0_20240818_215254.log).
+You can see an example [here](gpt-4o-mini_semgrep_1.85.0_20240818_215254.log).
 Due to the recent versions of Semgrep not detecting a few of the samples in the dataset as vulnerable anymore, the maximum score
-possible on the benchmark is 77.63%. You can see the oracle run log [here](https://huggingface.co/datasets/patched-codes/static-analysis-eval/blob/main/oracle-0-shot_semgrep_1.85.0_20240819_022711.log).
+possible on the benchmark is 77.63%. You can see the oracle run log [here](oracle-0-shot_semgrep_1.85.0_20240819_022711.log).
 
 ## Evaluation
 We did some detailed evaluations recently (19/08/2024):
 
 | Model | Score | Logs |
 |:-----:|:-----:|:----:|
-| gpt-4o-mini | 67.11 | [link](https://huggingface.co/datasets/patched-codes/static-analysis-eval/blob/main/gpt-4o-mini_semgrep_1.85.0_20240818_215254.log)|
-| gpt-4o-mini + 3-shot prompt | 71.05 | [link](https://huggingface.co/datasets/patched-codes/static-analysis-eval/blob/main/gpt-4o-mini-3-shot_semgrep_1.85.0_20240818_234709.log)| 
-| gpt-4o-mini + rag (embedding & reranking) | 72.37 | [link](https://huggingface.co/datasets/patched-codes/static-analysis-eval/blob/main/gpt-4o-mini-1-shot-sim_semgrep_1.85.0_20240819_013810.log) |
-| gpt-4o-mini + fine-tuned with [synth-vuln-fixes](https://huggingface.co/datasets/patched-codes/synth-vuln-fixes) | 77.63 | [link](https://huggingface.co/datasets/patched-codes/static-analysis-eval/blob/main/ft_gpt-4o-mini-2024-07-18_patched_patched_9uUpKXcm_semgrep_1.85.0_20240818_220158.log) |
+| gpt-4o-mini | 67.11 | [link](gpt-4o-mini_semgrep_1.85.0_20240818_215254.log)|
+| gpt-4o-mini + 3-shot prompt | 71.05 | [link](gpt-4o-mini-3-shot_semgrep_1.85.0_20240818_234709.log)| 
+| gpt-4o-mini + rag (embedding & reranking) | 72.37 | [link](gpt-4o-mini-1-shot-sim_semgrep_1.85.0_20240819_013810.log) |
+| gpt-4o-mini + fine-tuned with [synth-vuln-fixes](https://huggingface.co/datasets/patched-codes/synth-vuln-fixes) | 77.63 | [link](ft_gpt-4o-mini-2024-07-18_patched_patched_9uUpKXcm_semgrep_1.85.0_20240818_220158.log) |
 
 
 | Model | Score | Logs |
 |:-----:|:-----:|:----:|
-| gpt-4o | 68.42 | [link](https://huggingface.co/datasets/patched-codes/static-analysis-eval/blob/main/gpt-4o-0-shot_semgrep_1.85.0_20240819_015355.log)|
-| gpt-4o + 3-shot prompt | 77.63 | [link](https://huggingface.co/datasets/patched-codes/static-analysis-eval/blob/main/gpt-4o-3-shot_semgrep_1.85.0_20240819_020525.log)| 
-| gpt-4o + rag (embedding & reranking) | 77.63 | [link](https://huggingface.co/datasets/patched-codes/static-analysis-eval/blob/main/gpt-4o-1-shot-sim_semgrep_1.85.0_20240819_023323.log) |
-| gpt-4o + fine-tuned with [synth-vuln-fixes](https://huggingface.co/datasets/patched-codes/synth-vuln-fixes) | 77.63 | [link](https://huggingface.co/datasets/patched-codes/static-analysis-eval/blob/main/ft_gpt-4o-2024-05-13_patched_patched-4o_9xp8XOM9-0-shot_semgrep_1.85.0_20240819_075205.log) |
+| gpt-4o | 68.42 | [link](gpt-4o-0-shot_semgrep_1.85.0_20240819_015355.log)|
+| gpt-4o + 3-shot prompt | 77.63 | [link](gpt-4o-3-shot_semgrep_1.85.0_20240819_020525.log)| 
+| gpt-4o + rag (embedding & reranking) | 77.63 | [link](gpt-4o-1-shot-sim_semgrep_1.85.0_20240819_023323.log) |
+| gpt-4o + fine-tuned with [synth-vuln-fixes](https://huggingface.co/datasets/patched-codes/synth-vuln-fixes) | 77.63 | [link](ft_gpt-4o-2024-05-13_patched_patched-4o_9xp8XOM9-0-shot_semgrep_1.85.0_20240819_075205.log) |
 
 # Leaderboard
 
 The top models on the leaderboard are all fine-tuned using the same dataset that we released called [synth vuln fixes](https://huggingface.co/datasets/patched-codes/synth-vuln-fixes).
 You can read about our experience with fine-tuning them on our [blog](https://www.patched.codes/blog/a-comparative-study-of-fine-tuning-gpt-4o-mini-gemini-flash-1-5-and-llama-3-1-8b).
 You can also explore the leaderboard with this [interactive visualization](https://claude.site/artifacts/5656c16d-9751-407c-9631-a3526c259354).
-![Visualization of the leaderboard](./visualization.png)
+![Visualization of the leaderboard](visualization.png)
 
 |           Model           | StaticAnalysisEval (%) |  Time (mins)  | Price (USD) |
 |:-------------------------:|:----------------------:|:-------------:|:-----------:|