Datasets:
Upload 45 files
Browse files- BindingDB_filtered/.DS_Store +0 -0
- BindingDB_filtered/data.csv +2 -2
- BindingDB_filtered/train/dataset_info.json +3 -3
- BindingDB_filtered/train/state.json +1 -1
- CATS/train/state.json +1 -1
- HIF2A/train/state.json +1 -1
- HSP90/.DS_Store +0 -0
- HSP90/data.csv +0 -0
- HSP90/train/data-00000-of-00001.arrow +2 -2
- HSP90/train/dataset_info.json +15 -11
- HSP90/train/state.json +1 -1
- LeakyPDB/train/state.json +1 -1
- MCL1/train/state.json +1 -1
- Mpro/train/state.json +1 -1
- README.md +205 -152
- SYK/train/state.json +1 -1
- convert_csv_to_hf_dataset.py +2 -2
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HSP90/.DS_Store
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dtype: string
|
75 |
+
- name: seq
|
76 |
+
dtype: string
|
77 |
+
- name: resolution
|
78 |
+
dtype: float32
|
79 |
+
- name: date
|
80 |
+
dtype: string
|
81 |
+
- name: type
|
82 |
+
dtype: string
|
83 |
+
- name: new_split
|
84 |
+
dtype: string
|
85 |
+
- name: CL1
|
86 |
+
dtype: bool
|
87 |
+
- name: CL2
|
88 |
+
dtype: bool
|
89 |
+
- name: CL3
|
90 |
+
dtype: bool
|
91 |
+
- name: remove_for_balancing_val
|
92 |
+
dtype: bool
|
93 |
+
- name: kd/ki
|
94 |
+
dtype: string
|
95 |
+
- name: value
|
96 |
+
dtype: float32
|
97 |
+
- name: covalent
|
98 |
+
dtype: bool
|
99 |
+
splits:
|
100 |
+
- name: train
|
101 |
+
num_examples: 19443
|
102 |
+
- config_name: MCL1
|
103 |
+
features:
|
104 |
+
- name: Index
|
105 |
+
dtype: string
|
106 |
+
- name: Y
|
107 |
+
dtype: float32
|
108 |
+
- name: Drug
|
109 |
+
dtype: string
|
110 |
+
- name: Target
|
111 |
+
dtype: string
|
112 |
+
splits:
|
113 |
+
- name: train
|
114 |
+
num_examples: 25
|
115 |
+
- config_name: Mpro
|
116 |
+
features:
|
117 |
+
- name: Index
|
118 |
+
dtype: string
|
119 |
+
- name: Drug
|
120 |
+
dtype: string
|
121 |
+
- name: Y
|
122 |
+
dtype: float32
|
123 |
+
- name: Target
|
124 |
+
dtype: string
|
125 |
+
splits:
|
126 |
+
- name: train
|
127 |
+
num_examples: 2749
|
128 |
+
- config_name: SYK
|
129 |
+
features:
|
130 |
+
- name: Index
|
131 |
+
dtype: string
|
132 |
+
- name: Y
|
133 |
+
dtype: float32
|
134 |
+
- name: Drug
|
135 |
+
dtype: string
|
136 |
+
- name: Target
|
137 |
+
dtype: string
|
138 |
+
splits:
|
139 |
+
- name: train
|
140 |
+
num_examples: 44
|
141 |
+
configs:
|
142 |
+
- config_name: BindingDB_filtered
|
143 |
+
data_files:
|
144 |
+
- split: train
|
145 |
+
path: BindingDB_filtered/train/data-*
|
146 |
+
- config_name: CATS
|
147 |
+
data_files:
|
148 |
+
- split: train
|
149 |
+
path: CATS/train/data-*
|
150 |
+
- config_name: HIF2A
|
151 |
+
data_files:
|
152 |
+
- split: train
|
153 |
+
path: HIF2A/train/data-*
|
154 |
+
- config_name: HSP90
|
155 |
+
data_files:
|
156 |
+
- split: train
|
157 |
+
path: HSP90/train/data-*
|
158 |
+
- config_name: LeakyPDB
|
159 |
+
data_files:
|
160 |
+
- split: train
|
161 |
+
path: LeakyPDB/train/data-*
|
162 |
+
- config_name: MCL1
|
163 |
+
data_files:
|
164 |
+
- split: train
|
165 |
+
path: MCL1/train/data-*
|
166 |
+
- config_name: Mpro
|
167 |
+
data_files:
|
168 |
+
- split: train
|
169 |
+
path: Mpro/train/data-*
|
170 |
+
- config_name: SYK
|
171 |
+
data_files:
|
172 |
+
- split: train
|
173 |
+
path: SYK/train/data-*
|
174 |
+
license: cc-by-4.0
|
175 |
+
pretty_name: BALM-Benchmark
|
176 |
+
tags:
|
177 |
+
- chemistry
|
178 |
+
- biology
|
179 |
+
size_categories:
|
180 |
+
- 10K<n<100K
|
181 |
+
---
|
182 |
+
|
183 |
+
# Dataset Card for BALM-Benchmark
|
184 |
+
|
185 |
+
<!-- Provide a quick summary of the dataset. -->
|
186 |
+
|
187 |
+
## Dataset Details
|
188 |
+
|
189 |
+
### Dataset Description
|
190 |
+
|
191 |
+
## Citation
|
192 |
+
|
193 |
+
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
|
194 |
+
|
195 |
+
**BibTeX:**
|
196 |
+
|
197 |
+
```
|
198 |
+
|
199 |
+
```
|
200 |
+
|
201 |
+
## Dataset Card Contact
|
202 |
+
|
203 |
+
- Rohan Gorantla (rohan.gorantla@ed.ac.uk)
|
204 |
+
- Aryo Pradipta Gema (aryo.gema@ed.ac.uk)
|
205 |
+
- Antonia Mey ()
|
SYK/train/state.json
CHANGED
@@ -4,7 +4,7 @@
|
|
4 |
"filename": "data-00000-of-00001.arrow"
|
5 |
}
|
6 |
],
|
7 |
-
"_fingerprint": "
|
8 |
"_format_columns": null,
|
9 |
"_format_kwargs": {},
|
10 |
"_format_type": null,
|
|
|
4 |
"filename": "data-00000-of-00001.arrow"
|
5 |
}
|
6 |
],
|
7 |
+
"_fingerprint": "3699086d45fd9258",
|
8 |
"_format_columns": null,
|
9 |
"_format_kwargs": {},
|
10 |
"_format_type": null,
|
convert_csv_to_hf_dataset.py
CHANGED
@@ -22,8 +22,8 @@ def main():
|
|
22 |
# Add Index column, make sure it's the left most column
|
23 |
if "Index" not in df.columns:
|
24 |
df["Index"] = df.index
|
25 |
-
|
26 |
-
|
27 |
|
28 |
dataset = load_dataset("csv", data_files=filepath, delimiter=",")
|
29 |
print(dataset)
|
|
|
22 |
# Add Index column, make sure it's the left most column
|
23 |
if "Index" not in df.columns:
|
24 |
df["Index"] = df.index
|
25 |
+
df = df[["Index"] + [col for col in df.columns if col != "Index"]]
|
26 |
+
df.to_csv(filepath, index=False)
|
27 |
|
28 |
dataset = load_dataset("csv", data_files=filepath, delimiter=",")
|
29 |
print(dataset)
|