Update README.md

README.md

@@ -30,6 +30,31 @@ print ("Question:", Question)
 print ("Answer:", out[ind:])
 ```
 
+~~~~~
+Training dataset
+~~~~~
+Examples for some questions from the training dataset:
+
+```
+Question: What are some common methods for model selection in astrophysics?
+Answer: The goodness of fit, the likelihood ratio test, Bayesian model selection using Bayes factors, and the classical as well as the Bayesian information theoretic approaches.
+
+Question: What type of coupling in inflationary models can affect the prediction of inflationary parameters?
+Answer: non-minimal coupling to gravity.
+
+
+Question: What type of distribution is used to model the probability of non-linear density field?
+Answer: A superposition of a Gaussian and a lognormal distribution.
+
+Question: Can the shape of central cluster galaxies be used as a predictor of weak-lensing mass bias in individual clusters?
+Answer: Yes, we find that on average, the lensing masses of clusters with the roundest / most elliptical 25% of BCGs are biased ~20% high / low compared to the average.
+
+
+Question: What could be the cause of remaining excess power in a signal after foreground mitigation?
+Answer: Residual foreground emission from sources or diffuse emission far away from the phase centre, polarization leakage, chromatic calibration errors, ionosphere, or low-level radio-frequency interference
+
+
+```
 
 
 This is a [`Gemma` model](https://keras.io/api/keras_nlp/models/gemma) uploaded using the KerasNLP library and can be used with JAX, TensorFlow, and PyTorch backends.