Dataset card with every base model subset

README.md

@@ -1,6 +1,26 @@
 ---
 license: apache-2.0
 configs:
+- config_name: nemotron-3-nano-30b-a3b
+  data_files:
+  - split: train
+    path: nemotron-3-nano-30b-a3b/train.parquet
+  - split: dev
+    path: nemotron-3-nano-30b-a3b/dev.parquet
+  - split: test
+    path: nemotron-3-nano-30b-a3b/test.parquet
+  - split: probe
+    path: nemotron-3-nano-30b-a3b/probe.parquet
+- config_name: gpt-oss-120b
+  data_files:
+  - split: train
+    path: gpt-oss-120b/train.parquet
+  - split: dev
+    path: gpt-oss-120b/dev.parquet
+  - split: test
+    path: gpt-oss-120b/test.parquet
+  - split: probe
+    path: gpt-oss-120b/probe.parquet
 - config_name: gpt-oss-20b
   data_files:
   - split: train
@@ -18,7 +38,7 @@ configs:
 Training data for the `length` task of *Reward Misspecification Degrades Chain-of-Thought Monitorability* ([code](https://github.com/Lorenayannnnn/reward-misspecification-degrades-cot-monitorability)), built from
 [HuggingFaceH4/helpful-instructions](https://huggingface.co/datasets/HuggingFaceH4/helpful-instructions) (apache-2.0).
 
-- **Data**: Instruction following data with an N-word limit, one config per base model: `gpt-oss-20b` (N = 909)
+- **Data**: Instruction following data with an N-word limit, one config per base model: `nemotron-3-nano-30b-a3b` (N = 1351), `gpt-oss-120b` (N = 1472), `gpt-oss-20b` (N = 909)
 - **Entry num per split**: train 3150, dev 400, test 400, probe 50
 - **Probe**: `probe` is a held out set of queries used for generating reward descriptions
 - **True reward**: 1 if the final output has at most N words split by whitespace, else 0