The speaker's team combined the datasets available at the time to average out differences in what they measured.

“problem statement is given some simple tool is given just like let's say some exponential to logarithmic to multiplication stuff and you are just like evaluating on that so I was not particularly happy with that but that's the best we could got get at the time and that's why we mixed up all the data sets available at the time to kind of average out the things because very specific right if some model is good at math then it might perform really good”

“Great for BFCL but if some model doesn't understand the terminologies of industry then it will not perform well for Tau.”

“So we kind of mixed up the data set during that time.”