testing

README.md

@@ -13,11 +13,6 @@ tags:
 pretty_name: apex-agents
 size_categories:
 - n<1K
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: tasks_and_rubrics.json
 ---
 
 # APEX–Agents
@@ -41,7 +36,7 @@ APEX–Agents is a benchmark from [Mercor](https://www.mercor.com/apex/) for eva
 | **Benchmark total** | **33** | **166** | **480** | **4.06** | **1.82** | **58 (12.1%)** |
 
 
-Each case is a task inside a world (where worlds can have multiple tasks associated with them). A “world” is a realistic project scenario created by experts. Worlds contain files and tools required to complete tasks. Web search is disabled to keep evaluations reproducible. 
+Each case corresponds to a **task** inside a **world**. A “world” is a realistic project scenario created by experts. Worlds contain files and tools required to complete tasks. Web search is disabled to keep evaluations reproducible. 
 Worlds contain applications such as: Calendar, Chat, Code Execution, Documents, File system, Mail, PDFs, Spreadsheets, Presentations. Some worlds include additional finance data applications.
 
 A task includes:
@@ -55,13 +50,14 @@ A task includes:
 
 ## Evaluation
 APEX–Agents uses **rubric-based grading**:
-- Each rubric contains multiple criteria (binary: Met / Not met).
+- Each rubric contains multiple **criteria** (binary: Met / Not met).
 - There are between 1 and 10 criteria, with a mean of 4.06.
 - A judge model grades each criterion independently, using the prompt, the agent output, and relevant artifacts/changes.
 
 ## Leaderboard baselines
-You can view the latest leaderboard with live updates for new models (e.g., Gemini 3.1 Pro, Claude Opus 4.6) on the [APEX Agents Leaderboard](https://www.mercor.com/apex/apex-agents-leaderboard/).
-Where available, models have thinking / reasoning effort set to high.
+Our paper reports results for eight agents against multiple metrics (Pass@1, Pass@8, mean score). The leaderboard uses **Pass@1**: the probability that a uniformly sampled task passes all criteria in a single run.
+
+Where available, models have thinking / reasoning effort set to **high**.
 
 | Model | Pass@1 (95% CI) | Pass@8 (95% CI) | Pass^8 | Mean score | IB analyst Pass@1 | Consultant Pass@1 | Lawyer Pass@1 |
 |:---|:---:|:---:|:---:|:---:|:---:|:---:|:---:|