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{"algebra__linear_1d": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "algebra__linear_1d", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 516405, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 92086245, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 92602650, "size_in_bytes": 2425685604}, "algebra__linear_1d_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "algebra__linear_1d_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1018090, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 199566926, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 200585016, "size_in_bytes": 2533667970}, "algebra__linear_2d": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "algebra__linear_2d", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 666095, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 126743526, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 127409621, "size_in_bytes": 2460492575}, "algebra__linear_2d_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "algebra__linear_2d_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1184664, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 234405885, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 235590549, "size_in_bytes": 2568673503}, "algebra__polynomial_roots": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "algebra__polynomial_roots", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 868630, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 163134199, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 164002829, "size_in_bytes": 2497085783}, "algebra__polynomial_roots_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "algebra__polynomial_roots_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1281321, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 251435312, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 252716633, "size_in_bytes": 2585799587}, "algebra__sequence_next_term": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "algebra__sequence_next_term", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 752459, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 138735194, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 139487653, "size_in_bytes": 2472570607}, "algebra__sequence_nth_term": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "algebra__sequence_nth_term", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 947764, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 175945643, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 176893407, "size_in_bytes": 2509976361}, "arithmetic__add_or_sub": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "arithmetic__add_or_sub", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 483725, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 89690356, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 90174081, "size_in_bytes": 2423257035}, "arithmetic__add_or_sub_in_base": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "arithmetic__add_or_sub_in_base", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 502221, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 93779137, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 94281358, "size_in_bytes": 2427364312}, "arithmetic__add_sub_multiple": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "arithmetic__add_sub_multiple", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 498421, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 90962782, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 91461203, "size_in_bytes": 2424544157}, "arithmetic__div": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "arithmetic__div", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 421520, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 78417908, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 78839428, "size_in_bytes": 2411922382}, "arithmetic__mixed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "arithmetic__mixed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 513364, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 93989009, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 94502373, "size_in_bytes": 2427585327}, "arithmetic__mul": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "arithmetic__mul", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 394004, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 73499093, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 73893097, "size_in_bytes": 2406976051}, "arithmetic__mul_div_multiple": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "arithmetic__mul_div_multiple", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 497308, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 91406689, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 91903997, "size_in_bytes": 2424986951}, "arithmetic__nearest_integer_root": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "arithmetic__nearest_integer_root", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 705630, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 137771237, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 138476867, "size_in_bytes": 2471559821}, "arithmetic__simplify_surd": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "arithmetic__simplify_surd", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1261753, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 207753790, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 209015543, "size_in_bytes": 2542098497}, "calculus__differentiate": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "calculus__differentiate", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1025947, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 199013993, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 200039940, "size_in_bytes": 2533122894}, "calculus__differentiate_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "calculus__differentiate_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1343416, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 263757570, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 265100986, "size_in_bytes": 2598183940}, "comparison__closest": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "comparison__closest", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 681229, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 132274822, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 132956051, "size_in_bytes": 2466039005}, "comparison__closest_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "comparison__closest_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1071089, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 210658152, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 211729241, "size_in_bytes": 2544812195}, "comparison__kth_biggest": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "comparison__kth_biggest", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 797185, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 149077463, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 149874648, "size_in_bytes": 2482957602}, "comparison__kth_biggest_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "comparison__kth_biggest_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1144556, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 221547532, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 222692088, "size_in_bytes": 2555775042}, "comparison__pair": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "comparison__pair", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 452528, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 85707543, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 86160071, "size_in_bytes": 2419243025}, "comparison__pair_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "comparison__pair_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 946187, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 184702998, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 185649185, "size_in_bytes": 2518732139}, "comparison__sort": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "comparison__sort", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 712498, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 131752705, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 132465203, "size_in_bytes": 2465548157}, "comparison__sort_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "comparison__sort_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1114257, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 213871896, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 214986153, "size_in_bytes": 2548069107}, "measurement__conversion": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "measurement__conversion", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 592904, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 118650852, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 119243756, "size_in_bytes": 2452326710}, "measurement__time": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "measurement__time", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 584278, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 116962599, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 117546877, "size_in_bytes": 2450629831}, "numbers__base_conversion": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__base_conversion", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 490881, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 90363333, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 90854214, "size_in_bytes": 2423937168}, "numbers__div_remainder": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__div_remainder", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 644523, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 125046212, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 125690735, "size_in_bytes": 2458773689}, "numbers__div_remainder_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__div_remainder_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1151347, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 226341870, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 227493217, "size_in_bytes": 2560576171}, "numbers__gcd": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__gcd", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 659492, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 127914889, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 128574381, "size_in_bytes": 2461657335}, "numbers__gcd_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__gcd_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1206805, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 237534189, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 238740994, "size_in_bytes": 2571823948}, "numbers__is_factor": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__is_factor", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 396129, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 75875988, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 76272117, "size_in_bytes": 2409355071}, "numbers__is_factor_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__is_factor_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 949828, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 185369842, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 186319670, "size_in_bytes": 2519402624}, "numbers__is_prime": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__is_prime", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 385749, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 73983639, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 74369388, "size_in_bytes": 2407452342}, "numbers__is_prime_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__is_prime_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 947888, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 184808483, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 185756371, "size_in_bytes": 2518839325}, "numbers__lcm": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__lcm", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 717978, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 136826050, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 137544028, "size_in_bytes": 2470626982}, "numbers__lcm_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__lcm_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1127744, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 221148668, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 222276412, "size_in_bytes": 2555359366}, "numbers__list_prime_factors": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__list_prime_factors", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 585749, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 109982816, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 110568565, "size_in_bytes": 2443651519}, "numbers__list_prime_factors_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__list_prime_factors_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1053510, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 205379513, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 206433023, "size_in_bytes": 2539515977}, "numbers__place_value": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__place_value", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 496977, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 95180091, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 95677068, "size_in_bytes": 2428760022}, "numbers__place_value_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__place_value_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1011130, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 197187918, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 198199048, "size_in_bytes": 2531282002}, "numbers__round_number": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__round_number", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 570636, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 111472483, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 112043119, "size_in_bytes": 2445126073}, "numbers__round_number_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "numbers__round_number_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1016754, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 201057283, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 202074037, "size_in_bytes": 2535156991}, "polynomials__add": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "polynomials__add", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1308455, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 257576092, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 258884547, "size_in_bytes": 2591967501}, "polynomials__coefficient_named": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "polynomials__coefficient_named", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1137226, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 219716251, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 220853477, "size_in_bytes": 2553936431}, "polynomials__collect": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "polynomials__collect", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 774709, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 143743260, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 144517969, "size_in_bytes": 2477600923}, "polynomials__compose": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "polynomials__compose", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1209763, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 233651887, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 234861650, "size_in_bytes": 2567944604}, "polynomials__evaluate": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "polynomials__evaluate", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 599446, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 114538250, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 115137696, "size_in_bytes": 2448220650}, "polynomials__evaluate_composed": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "polynomials__evaluate_composed", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1148362, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 226022455, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 227170817, "size_in_bytes": 2560253771}, "polynomials__expand": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "question", "output": "answer"}, "builder_name": "math_dataset", "config_name": "polynomials__expand", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1057353, "num_examples": 10000, "dataset_name": "math_dataset"}, "train": {"name": "train", "num_bytes": 202338235, "num_examples": 1999998, "dataset_name": "math_dataset"}}, "download_checksums": {"https://storage.googleapis.com/mathematics-dataset/mathematics_dataset-v1.0.tar.gz": {"num_bytes": 2333082954, "checksum": "def638343403cb9ed60437d6b684c859dd23b72779f5cc5661b0a31e67c58576"}}, "download_size": 2333082954, "dataset_size": 203395588, "size_in_bytes": 2536478542}, "polynomials__simplify_power": {"description": "\nMathematics database.\n\nThis dataset code generates mathematical question and answer pairs,\nfrom a range of question types at roughly school-level difficulty.\nThis is designed to test the mathematical learning and algebraic\nreasoning skills of learning models.\n\nOriginal paper: Analysing Mathematical Reasoning Abilities of Neural Models\n(Saxton, Grefenstette, Hill, Kohli).\n\nExample usage:\ntrain_examples, val_examples = datasets.load_dataset(\n 'math_dataset/arithmetic__mul',\n split=['train', 'test'],\n as_supervised=True)\n", "citation": "\n@article{2019arXiv,\n author = {Saxton, Grefenstette, Hill, Kohli},\n title = {Analysing Mathematical Reasoning Abilities of Neural Models},\n year = {2019},\n journal = {arXiv:1904.01557}\n}\n", "homepage": "https://github.com/deepmind/mathematics_dataset", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, 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