README.md

---
configs:
- config_name: mcd1
  data_files:
  - split: train
    path: mcd1/train-*
  - split: dev
    path: mcd1/dev-*
  - split: test
    path: mcd1/test-*
- config_name: mcd2
  data_files:
  - split: train
    path: mcd2/train-*
  - split: dev
    path: mcd2/dev-*
  - split: test
    path: mcd2/test-*
- config_name: mcd3
  data_files:
  - split: train
    path: mcd3/train-*
  - split: dev
    path: mcd3/dev-*
  - split: test
    path: mcd3/test-*
dataset_info:
- config_name: mcd1
  features:
  - name: commands
    dtype: string
  - name: actions
    dtype: string
  splits:
  - name: train
    num_bytes: 1435200
    num_examples: 8365
  - name: dev
    num_bytes: 242915
    num_examples: 1046
  - name: test
    num_bytes: 249212
    num_examples: 1045
  download_size: 340627
  dataset_size: 1927327
- config_name: mcd2
  features:
  - name: commands
    dtype: string
  - name: actions
    dtype: string
  splits:
  - name: train
    num_bytes: 1408018
    num_examples: 8365
  - name: dev
    num_bytes: 229805
    num_examples: 1046
  - name: test
    num_bytes: 230998
    num_examples: 1045
  download_size: 336499
  dataset_size: 1868821
- config_name: mcd3
  features:
  - name: commands
    dtype: string
  - name: actions
    dtype: string
  splits:
  - name: train
    num_bytes: 1419109
    num_examples: 8365
  - name: dev
    num_bytes: 252766
    num_examples: 1046
  - name: test
    num_bytes: 247900
    num_examples: 1045
  download_size: 340622
  dataset_size: 1919775
---
# Dataset Card for "SCAN_MCDSplits"

This is the dataset repository for SCAN MCD splits. In total, there are three splits - mcd1, mcd2, and mcd3

SCAN is a set of simple language-driven navigation tasks for studying compositional learning and zero-shot generalization. The SCAN tasks were inspired by the CommAI environment, which is the origin of the acronym (Simplified versions of the CommAI Navigation tasks).

The relevant SCAN paper is: 

[Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks](https://arxiv.org/pdf/1711.00350). ICML 2018.

The relevant MCD split paper is: 

[Measuring Compositional Generalization: A Comprehensive Method on Realistic Data](https://arxiv.org/pdf/1912.09713). ICLR 2020.


You can load them by:
```datasets.load_dataset("Punchwe/SCAN_MCDSplits", name="mcd1", split="train")```