Awesome

CLUTRR-Baselines

Codebase for experiments on the CLUTRR benchmark suite.

• Paper: https://arxiv.org/abs/1908.06177
• Blog: https://www.cs.mcgill.ca/~ksinha4/introducing-clutrr/

Usage

• We use Comet.ml to monitor and log experiments / accuracies
• After creating an account in Comet.ml, (Academic accounts are free) put the key and workspace info in config.log
• To debug, use config.log.disabled=True to not pollute the Comet dashboard space.
• To run an experiment, first make sure that the codebase is in the Pythonpath: export PYTHONPATH="${PYTHONPATH}:/home/.../experiment_base
• Then, cd into codes/app and run python main.py --config_id <experiment_name>
• experiment_name is the name of the config file (without .yaml)

Dependencies

• Pytorch, 1.0
• Comet.ml
• Addict
• NLTK
• Pandas
• Pyyaml
• tqdm

Citation

If our work is useful for your research, consider citing it using the following bibtex:

@article{sinha2019clutrr,
  Author = {Koustuv Sinha and Shagun Sodhani and Jin Dong and Joelle Pineau and William L. Hamilton},
  Title = {CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text},
  Year = {2019},
  journal = {Empirical Methods of Natural Language Processing (EMNLP)},
  arxiv = {1908.06177}
}

Join the CLUTRR community

• Main Repo: https://github.com/facebookresearch/clutrr
• Website: https://www.cs.mcgill.ca/~ksinha4/clutrr/

License

CLUTRR-Baselines is CC-BY-NC 4.0 (Attr Non-Commercial Inter.) licensed, as found in the LICENSE file.