Update README.md

Author: tingofurro

README.md

@@ -24,6 +24,11 @@ Once all the pretraining models are ready, training a summarizer can be done usi
 python train_summary_loop.py --experiment wikinews_test --dataset_file data/wikinews.db
 ```
 
+## CNN/DM Test Set Model Generation
+
+We provide the 11,490 summaries produces by the Summary Loop models on the test portion of the CNN/Daily Mail dataset.
+The release is [available here](https://github.com/CannyLab/summary_loop/releases/tag/0.3). This is intended to facilitate comparison to future work, and analysis work, such as analysis of abstractiveness and factuality.
+
 ## Scorer Models
 
 The Coverage and Fluency model and Guardrails scores can be used separately for analysis, evaluation, etc.