Upload dataset
Browse files- README.md +14 -14
- data/test-00000-of-00001.parquet +2 -2
README.md
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---
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dataset_info:
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features:
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- name:
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dtype: string
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- name:
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dtype: string
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- name:
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dtype: int64
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splits:
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- name: test
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num_bytes:
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num_examples:
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download_size:
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dataset_size:
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configs:
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- config_name: default
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data_files:
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- split: test
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path: data/test-*
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task_categories:
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- text-classification
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language:
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- en
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tags:
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- chemistry
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- coconutdb
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- SMILES
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- chemteb
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pretty_name: CoconutDB SMILES to Formula Pair Classification
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size_categories:
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- 1M<n<10M
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---
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# CoconutDB SMILES to Formula Pair Classification
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This dataset contains pairs of SMILES strings (both isomeric and canonical) and their corresponding molecular formulas, with labels indicating whether they refer to the same chemical entity. A label of 1 means the SMILES string and the molecular formula correspond to the same entity, while a label of 0 indicates they do not. The dataset is sourced from [CoconutDB](https://coconut.naturalproducts.net/) and provides valuable information for tasks involving chemical entity matching and molecular formula analysis.
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---
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language:
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- en
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size_categories:
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- 1M<n<10M
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task_categories:
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- text-classification
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pretty_name: CoconutDB SMILES to Formula Pair Classification
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dataset_info:
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features:
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- name: name
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dtype: string
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- name: canonical_smiles
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dtype: string
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- name: __index_level_0__
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dtype: int64
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splits:
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- name: test
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num_bytes: 456723
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num_examples: 4000
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download_size: 235993
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dataset_size: 456723
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configs:
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- config_name: default
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data_files:
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- split: test
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path: data/test-*
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tags:
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- chemistry
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- coconutdb
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- SMILES
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- chemteb
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---
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# CoconutDB SMILES to Formula Pair Classification
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This dataset contains pairs of SMILES strings (both isomeric and canonical) and their corresponding molecular formulas, with labels indicating whether they refer to the same chemical entity. A label of 1 means the SMILES string and the molecular formula correspond to the same entity, while a label of 0 indicates they do not. The dataset is sourced from [CoconutDB](https://coconut.naturalproducts.net/) and provides valuable information for tasks involving chemical entity matching and molecular formula analysis.
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data/test-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:b3025e2e7dba48d91d2945126a499e66443e2dabc665a45c46f27af2fe6845e8
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size 235993
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