Update README.md

README.md

@@ -66,13 +66,15 @@ Rather than training one model, we trained multiple models, each on a different
 # Results
 
 Accuracy is normalized by length and shown as a percentage.
-| Dataset           | ARC-Easy | ARC-Challenge | HellaSwag |   PIQA |  BLiMP |  **Avg ↑** |   **II ↑** |
-| :---------------- | -------: | ------------: | --------: | -----: | -----: | ---------: | ---------: |
-| FineWeb           |   27.82% |        22.01% |    26.89% | 52.83% | 65.21% | **38.95%** | **37.51%** |
-| DCLM-1.0-Baseline |   29.08% |        22.41% |    27.06% | 52.23% | 66.16% | **39.39%** | **37.95%** |
-| DOAB              |   31.14% |        20.99% |    28.00% | 52.18% | 62.15% | **38.89%** | **37.59%** |
-| Project Gutenberg |   25.84% |        23.04% |    24.63% | 50.21% | 64.07% | **37.56%** | **36.35%** |
-| EOT-2004-Raw      |   29.08% |        21.50% |    27.54% | 51.31% | 59.92% | **37.87%** | **36.91%** |
+| Dataset           |   ARC-Easy | ARC-Challenge |  HellaSwag |       PIQA |      BLiMP |  **Avg ↑** |   **II ↑** |
+| :---------------- | ---------: | ------------: | ---------: | ---------: | ---------: | ---------: | ---------: |
+| FineWeb           |     27.82% |        22.01% |     26.89% |     52.83% |     65.21% | **38.95%** | **38.46%** |
+| DCLM-1.0-Baseline |     29.08% |        22.41% |     27.06% |     52.23% |     66.16% | **39.39%** | **38.85%** |
+| DOAB              |     31.14% |        20.99% |     28.00% |     52.18% |     62.15% | **38.89%** | **38.81%** |
+| Project Gutenberg |     25.84% |        23.04% |     24.63% |     50.21% |     64.07% | **37.56%** | **36.74%** |
+| EOT-2004-Raw      |     29.08% |        21.50% |     27.54% |     51.31% |     59.92% | **37.87%** | **37.72%** |
+| Wikipedia         |     28.28% |        21.16% |     27.61% |     51.14% |     61.06% | **37.83%** | **37.60%** |
+
 
 The II is calculated based on these weights: