Add instruction for how to add a benchmark
Browse files
README.md
CHANGED
|
@@ -17,7 +17,35 @@ Tracking AI capabilities in cybersecurity is essential for understanding emergin
|
|
| 17 |
|
| 18 |
## Submit your benchmark
|
| 19 |
|
| 20 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
|
| 22 |
## Paper & Blog
|
| 23 |
|
|
|
|
| 17 |
|
| 18 |
## Submit your benchmark
|
| 19 |
|
| 20 |
+
Please follow the steps below to add your benchmark.
|
| 21 |
+
|
| 22 |
+
1. First you need to add your results in results.json. Under the top-level "results" key, you need to insert an entry that looks like this:
|
| 23 |
+
|
| 24 |
+
```jsonc
|
| 25 |
+
"Your Benchmark Name": {
|
| 26 |
+
"Metric Name 1": {
|
| 27 |
+
"Model / Agent Name": [value]
|
| 28 |
+
},
|
| 29 |
+
"Metric Name 2": {
|
| 30 |
+
"Model / Agent Name": [value]
|
| 31 |
+
}
|
| 32 |
+
}
|
| 33 |
+
```
|
| 34 |
+
|
| 35 |
+
Here, if you want, you can add multiple metric scores.
|
| 36 |
+
|
| 37 |
+
2. Then, add descriptive metadata in meta_data.py
|
| 38 |
+
|
| 39 |
+
```bash
|
| 40 |
+
LEADERBOARD_MD["Your Benchmark Name"] = """
|
| 41 |
+
Brief description of what the benchmark measures.
|
| 42 |
+
|
| 43 |
+
Paper: <paper URL>
|
| 44 |
+
Code: <repository URL>
|
| 45 |
+
"""
|
| 46 |
+
```
|
| 47 |
+
|
| 48 |
+
3. Lastly, please open a pull request. You need to commit your changes and open a PR against this repository. We will review and merge submissions. If you have any questions, please contact Yujin Potter at [email protected].
|
| 49 |
|
| 50 |
## Paper & Blog
|
| 51 |
|
about.md
CHANGED
|
@@ -2,7 +2,35 @@ Tracking AI capabilities in cybersecurity is essential for understanding emergin
|
|
| 2 |
|
| 3 |
## Submit your benchmark
|
| 4 |
|
| 5 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
|
| 7 |
## Paper & Blog
|
| 8 |
|
|
|
|
| 2 |
|
| 3 |
## Submit your benchmark
|
| 4 |
|
| 5 |
+
Please follow the steps below to add your benchmark.
|
| 6 |
+
|
| 7 |
+
1. First you need to add your results in results.json. Under the top-level "results" key, you need to insert an entry that looks like this:
|
| 8 |
+
|
| 9 |
+
```jsonc
|
| 10 |
+
"Your Benchmark Name": {
|
| 11 |
+
"Metric Name 1": {
|
| 12 |
+
"Model / Agent Name": [value]
|
| 13 |
+
},
|
| 14 |
+
"Metric Name 2": {
|
| 15 |
+
"Model / Agent Name": [value]
|
| 16 |
+
}
|
| 17 |
+
}
|
| 18 |
+
```
|
| 19 |
+
|
| 20 |
+
Here, if you want, you can add multiple metric scores.
|
| 21 |
+
|
| 22 |
+
2. Then, add descriptive metadata in meta_data.py
|
| 23 |
+
|
| 24 |
+
```bash
|
| 25 |
+
LEADERBOARD_MD["Your Benchmark Name"] = """
|
| 26 |
+
Brief description of what the benchmark measures.
|
| 27 |
+
|
| 28 |
+
Paper: <paper URL>
|
| 29 |
+
Code: <repository URL>
|
| 30 |
+
"""
|
| 31 |
+
```
|
| 32 |
+
|
| 33 |
+
3. Lastly, please open a pull request. You need to commit your changes and open a PR against this repository. We will review and merge submissions. If you have any questions, please contact Yujin Potter at [email protected].
|
| 34 |
|
| 35 |
## Paper & Blog
|
| 36 |
|