text
stringclasses
3 values
classes
sequence
target
int32
0
1
evaluation_predictions
sequence
Question: Which is more likely? A. Andrew is a scientist and is smart. B. Andrew is a scientist. Answer:
[ " A", " B" ]
1
[ -13.155658721923828, -1.256258487701416, -5.426904678344727, -2.2840380668640137, -2.6113624572753906, -2.36141300201416, -2.1278738975524902, -2.414527177810669, -4.485104560852051, -3.9763948917388916, -10.211397171020508, -5.2700042724609375, -2.1946468353271484, -8.771985054016113, -1.4832279682159424, -3.5856127738952637, -5.5492844581604, -2.097271203994751, -2.7055280208587646, -2.0705528259277344, -0.01582891121506691, -0.9437795877456665, -0.3055054545402527, -0.7453522086143494, -1.686723232269287, -2.640221357345581, -0.7944657802581787, -6.858025074005127, -0.1211865171790123, -4.053383827209473, 0, -100, -100, -100 ]
Q: Which is more likely? 1. Michael is an accountant. 2. Michael is an accountant and is careful. A:
[ " 1", " 2" ]
0
[ -13.155658721923828, -1.256258487701416, -5.426904678344727, -2.2840380668640137, -2.6113624572753906, -2.36141300201416, -2.1278738975524902, -2.414527177810669, -4.485104560852051, -3.9763948917388916, -10.211397171020508, -5.2700042724609375, -2.1946468353271484, -8.771985054016113, -1.4832279682159424, -3.5856127738952637, -5.5492844581604, -2.097271203994751, -2.7055280208587646, -2.0705528259277344, -0.01582891121506691, -0.9437795877456665, -0.3055054545402527, -0.7453522086143494, -1.686723232269287, -2.640221357345581, -0.7944657802581787, -6.858025074005127, -0.1211865171790123, -4.54278564453125, 0, -100, -100, -100 ]
Q: Which is more likely to be true? 1. Jessica is a teacher. 2. Jessica is a teacher and is patient. A:
[ " 1", " 2" ]
0
[ -9.059041976928711, -3.527707576751709, -5.023421287536621, -2.3238329887390137, -2.586141586303711, -3.121429443359375, -1.9683895111083984, -1.4665522575378418, -6.009766578674316, -1.8899247646331787, -8.553078651428223, -4.001636505126953, -4.611171722412109, -6.136463165283203, -1.215322732925415, -0.576741099357605, -0.8378995060920715, -0.009537961333990097, -2.3805861473083496, -0.6232291460037231, -1.6913496255874634, -0.695215106010437, -3.3515262603759766, -2.495798110961914, -8.781375885009766, -2.012242078781128, -0.1644189953804016, -5.754627704620361, -0.10740863531827927, -7.580887794494629, 0, -100, -100, -100 ]

Dataset Card for AutoTrain Evaluator

This repository contains model predictions generated by AutoTrain for the following task and dataset:

  • Task: Zero-Shot Text Classification
  • Model: autoevaluate/zero-shot-classification
  • Dataset: autoevaluate/zero-shot-classification-sample
  • Config: autoevaluate--zero-shot-classification-sample
  • Split: test

To run new evaluation jobs, visit Hugging Face's automatic model evaluator.

Contributions

Thanks to @MauritsG for evaluating this model.

Downloads last month
42