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Browse files- data/c12_data/README.md +50 -0
- data/c12_data/dataset_dict.json +1 -0
- data/c12_data/metadata.json +14 -0
- data/c12_data/test/data-00000-of-00001.arrow +3 -0
- data/c12_data/test/dataset_info.json +16 -0
- data/c12_data/test/state.json +13 -0
- data/c12_data/train/data-00000-of-00001.arrow +3 -0
- data/c12_data/train/dataset_info.json +16 -0
- data/c12_data/train/state.json +13 -0
data/c12_data/README.md
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---
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pretty_name: Permutation Composition Dataset (C12)
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size_categories:
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- small
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- medium
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- large
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tags:
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- mathematics
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- group-theory
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- permutations
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- sequence-to-sequence
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- benchmark
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task_categories:
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- text-generation
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- sequence-modeling
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---
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# Permutation Composition Dataset for C12
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This dataset contains 24000 samples of permutation composition problems for the group C12.
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## Group Information
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- **Group**: C12
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- **Order**: 12
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- **Degree**: 12
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## Dataset Statistics
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- **Total samples**: 24000
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- **Train samples**: 19200
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- **Test samples**: 4800
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- **Min sequence length**: 3
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- **Max sequence length**: 512
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## Usage
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```python
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from datasets import load_dataset
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# Load the dataset
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dataset = load_dataset("BeeGass/permutation-groups")
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# Load the permutation mapping
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metadata_path = hf_hub_download(repo_id="BeeGass/permutation-groups", filename="metadata.json")
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with open(metadata_path, "r") as f:
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id_to_perm_map = json.load(f)
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```
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## License
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This dataset is licensed under the MIT License.
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data/c12_data/dataset_dict.json
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{"splits": ["train", "test"]}
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data/c12_data/metadata.json
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{
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"0": "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]",
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"1": "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 0]",
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"2": "[2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 0, 1]",
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"3": "[3, 4, 5, 6, 7, 8, 9, 10, 11, 0, 1, 2]",
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"4": "[4, 5, 6, 7, 8, 9, 10, 11, 0, 1, 2, 3]",
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"5": "[5, 6, 7, 8, 9, 10, 11, 0, 1, 2, 3, 4]",
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"6": "[6, 7, 8, 9, 10, 11, 0, 1, 2, 3, 4, 5]",
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"7": "[7, 8, 9, 10, 11, 0, 1, 2, 3, 4, 5, 6]",
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"8": "[8, 9, 10, 11, 0, 1, 2, 3, 4, 5, 6, 7]",
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"9": "[9, 10, 11, 0, 1, 2, 3, 4, 5, 6, 7, 8]",
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"10": "[10, 11, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9]",
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"11": "[11, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]"
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}
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data/c12_data/test/data-00000-of-00001.arrow
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version https://git-lfs.github.com/spec/v1
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oid sha256:27c5dd8df11780e362a0fda04b7fd85a59a5395468e8ba8c3c75de989b4b58fa
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size 2684112
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data/c12_data/test/dataset_info.json
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{
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"citation": "",
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"description": "",
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"features": {
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"input_sequence": {
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"dtype": "string",
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"_type": "Value"
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},
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"target": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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"homepage": "",
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"license": ""
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}
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data/c12_data/test/state.json
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{
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"_data_files": [
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{
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"filename": "data-00000-of-00001.arrow"
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}
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],
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"_fingerprint": "3e45ebf13c19440f",
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"_format_columns": null,
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"_format_kwargs": {},
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"_format_type": null,
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"_output_all_columns": false,
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"_split": null
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}
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data/c12_data/train/data-00000-of-00001.arrow
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version https://git-lfs.github.com/spec/v1
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oid sha256:47de344b87ba4c4b6493977e86fb38f29743db63d14bcdac9f003c4082ef4ebb
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size 10919512
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data/c12_data/train/dataset_info.json
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{
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"citation": "",
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"description": "",
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"features": {
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"input_sequence": {
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"dtype": "string",
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"_type": "Value"
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},
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"target": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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"homepage": "",
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"license": ""
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}
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data/c12_data/train/state.json
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{
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"_data_files": [
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{
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"filename": "data-00000-of-00001.arrow"
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}
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],
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"_fingerprint": "33ef724206f0c5ce",
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"_format_columns": null,
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"_format_kwargs": {},
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"_format_type": null,
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"_output_all_columns": false,
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"_split": null
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}
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