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Update README.md

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  1. README.md +7 -12
README.md CHANGED
@@ -47,20 +47,16 @@ configs:
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  dataset_info:
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  - config_name: HLM
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  features:
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- - name: ChEMBL ID (source)
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- dtype: string
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- - name: IUPAC Names
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  dtype: string
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  - name: Smiles
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  dtype: string
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- - name: Class
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  dtype:
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  class_label:
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  names:
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  '0': 0
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  '1': 1
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- - name: Dataset
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- dtype: string
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  splits:
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  - name: train
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  num_bytes: 190968
@@ -73,20 +69,16 @@ dataset_info:
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  num_examples: 111
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  - config_name: RLM
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  features:
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- - name: ChEMBL ID (source)
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- dtype: string
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- - name: IUPAC Names
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  dtype: string
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  - name: Smiles
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  dtype: string
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- - name: Class
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  dtype:
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  class_label:
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  names:
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  '0': 0
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  '1': 1
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- - name: Dataset
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- dtype: string
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  splits:
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  - name: train
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  num_bytes: 100608
@@ -132,6 +124,9 @@ The experimental data from the National Center for Advancing Translational Scien
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  For the HLM data set, 3799 (64%) compounds were classified as stable, and 2103 (36%) compounds were classified as unstable.
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  In addition, an external set from Liu et al.12 was used to evaluate the predictive power of the HLM model.
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  ## Quickstart Usage
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  dataset_info:
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  - config_name: HLM
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  features:
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+ - name: ID
 
 
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  dtype: string
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  - name: Smiles
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  dtype: string
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+ - name: Y
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  dtype:
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  class_label:
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  names:
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  '0': 0
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  '1': 1
 
 
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  splits:
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  - name: train
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  num_bytes: 190968
 
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  num_examples: 111
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  - config_name: RLM
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  features:
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+ - name: ID
 
 
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  dtype: string
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  - name: Smiles
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  dtype: string
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+ - name: Y
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  dtype:
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  class_label:
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  names:
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  '0': 0
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  '1': 1
 
 
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  splits:
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  - name: train
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  num_bytes: 100608
 
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  For the HLM data set, 3799 (64%) compounds were classified as stable, and 2103 (36%) compounds were classified as unstable.
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  In addition, an external set from Liu et al.12 was used to evaluate the predictive power of the HLM model.
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+ The datasets uploaded to our Hugging Face repository are sanitized and reorganized versions.
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+ (We have sanitized the molecules from the original paper, using MolVS.)
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+
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  ## Quickstart Usage
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