recursionaut commited on
Commit
08becb6
1 Parent(s): a50beff

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +20 -20
README.md CHANGED
@@ -1,3 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  To accompany OpenPhenom, Recursion is releasing the **RxRx3-core** dataset, a challenge dataset in phenomics optimized for the research community.
2
  RxRx3-core includes labeled images of 735 genetic knockouts and 1,674 small-molecule perturbations drawn from the [RxRx3 dataset](https://www.rxrx.ai/rxrx3),
3
  image embeddings computed with [OpenPhenom](https://huggingface.co/recursionpharma/OpenPhenom), and associations between the included small molecules and genes.
@@ -24,23 +44,3 @@ open_phenom_embeddings = pd.read_parquet(file_path_embs)
24
  rxrx3_core_metadata = pd.read_csv(file_path_metadata)
25
  ```
26
  Benchmarking code for this dataset is provided in the [EFAAR benchmarking repo](https://github.com/recursionpharma/EFAAR_benchmarking/tree/trunk/RxRx3-core_benchmarks).
27
-
28
- ---
29
- dataset_info:
30
- features:
31
- - name: __key__
32
- dtype: string
33
- - name: jp2
34
- dtype: image
35
- splits:
36
- - name: train
37
- num_bytes: 17489993120.108
38
- num_examples: 1335606
39
- download_size: 17390577507
40
- dataset_size: 17489993120.108
41
- configs:
42
- - config_name: default
43
- data_files:
44
- - split: train
45
- path: data/train-*
46
- ---
 
1
+ ---
2
+ dataset_info:
3
+ features:
4
+ - name: __key__
5
+ dtype: string
6
+ - name: jp2
7
+ dtype: image
8
+ splits:
9
+ - name: train
10
+ num_bytes: 17489993120.108
11
+ num_examples: 1335606
12
+ download_size: 17390577507
13
+ dataset_size: 17489993120.108
14
+ configs:
15
+ - config_name: default
16
+ data_files:
17
+ - split: train
18
+ path: data/train-*
19
+ ---
20
+
21
  To accompany OpenPhenom, Recursion is releasing the **RxRx3-core** dataset, a challenge dataset in phenomics optimized for the research community.
22
  RxRx3-core includes labeled images of 735 genetic knockouts and 1,674 small-molecule perturbations drawn from the [RxRx3 dataset](https://www.rxrx.ai/rxrx3),
23
  image embeddings computed with [OpenPhenom](https://huggingface.co/recursionpharma/OpenPhenom), and associations between the included small molecules and genes.
 
44
  rxrx3_core_metadata = pd.read_csv(file_path_metadata)
45
  ```
46
  Benchmarking code for this dataset is provided in the [EFAAR benchmarking repo](https://github.com/recursionpharma/EFAAR_benchmarking/tree/trunk/RxRx3-core_benchmarks).