Spaces:
Running
Running
 | |
 | |
 | |
# Neural Programmer | |
Implementation of the Neural Programmer model as described in this [paper](https://openreview.net/pdf?id=ry2YOrcge). | |
Download and extract the data from the [WikiTableQuestions](https://ppasupat.github.io/WikiTableQuestions/) site. The dataset contains | |
11321, 2831, and 4344 examples for training, development, and testing respectively. We use their tokenization, number and date pre-processing. Please note that the above paper used the [initial release](https://github.com/ppasupat/WikiTableQuestions/releases/tag/v0.2) for training, development and testing. | |
Change the `data_dir FLAG` to the location of the data. | |
### Training | |
Run `python neural_programmer.py` | |
The models are written to `FLAGS.output_dir`. | |
### Testing | |
Run `python neural_programmer.py --evaluator_job=True` | |
The models are loaded from `FLAGS.output_dir`. The evaluation is done on development data. | |
In case of errors because of encoding, add `"# -*- coding: utf-8 -*-"` as the first line in `wiki_data.py` | |
Maintained by Arvind Neelakantan (arvind2505) | |