xiaobin123 commited on
Commit
dd2a2dd
Β·
verified Β·
1 Parent(s): ab0942d

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +7 -42
README.md CHANGED
@@ -1,48 +1,13 @@
1
  ---
2
  title: Hawk
3
- emoji: πŸ₯‡
4
- colorFrom: green
5
- colorTo: indigo
6
  sdk: gradio
 
7
  app_file: app.py
8
- pinned: true
9
- license: apache-2.0
10
- short_description: Duplicate this leaderboard to initialize your own!
11
- sdk_version: 5.43.1
12
- tags:
13
- - leaderboard
14
  ---
15
 
16
- # Start the configuration
17
-
18
- Most of the variables to change for a default leaderboard are in `src/env.py` (replace the path for your leaderboard) and `src/about.py` (for tasks).
19
-
20
- Results files should have the following format and be stored as json files:
21
- ```json
22
- {
23
- "config": {
24
- "model_dtype": "torch.float16", # or torch.bfloat16 or 8bit or 4bit
25
- "model_name": "path of the model on the hub: org/model",
26
- "model_sha": "revision on the hub",
27
- },
28
- "results": {
29
- "task_name": {
30
- "metric_name": score,
31
- },
32
- "task_name2": {
33
- "metric_name": score,
34
- }
35
- }
36
- }
37
- ```
38
-
39
- Request files are created automatically by this tool.
40
-
41
- If you encounter problem on the space, don't hesitate to restart it to remove the create eval-queue, eval-queue-bk, eval-results and eval-results-bk created folder.
42
-
43
- # Code logic for more complex edits
44
-
45
- You'll find
46
- - the main table' columns names and properties in `src/display/utils.py`
47
- - the logic to read all results and request files, then convert them in dataframe lines, in `src/leaderboard/read_evals.py`, and `src/populate.py`
48
- - the logic to allow or filter submissions in `src/submission/submit.py` and `src/submission/check_validity.py`
 
1
  ---
2
  title: Hawk
3
+ emoji: πŸ“Š
4
+ colorFrom: blue
5
+ colorTo: green
6
  sdk: gradio
7
+ sdk_version: 4.12.0
8
  app_file: app.py
9
+ pinned: false
 
 
 
 
 
10
  ---
11
 
12
+ # GAIA Research Workspace
13
+ This space is dedicated to visualizing and testing GAIA benchmark datasets.