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README.md

@@ -23,6 +23,8 @@ library_name: multimolecule
 
 RYOS is a database of RNA backbone stability in aqueous solution.
 
+RYOS focuses on exploring the stability of mRNA for vaccine applications, specifically addressing the challenge of designing mRNA molecules that are less prone to degradation, especially under conditions where refrigeration may not be possible.
+
 ## Statement
 
 _Deep learning models for predicting RNA degradation via dual crowdsourcing_ is published in [Nature Machine Intelligence](https://doi.org/10.1038/s42256-022-00571-8), which is a Closed Access / Author-Fee journal.
@@ -53,18 +55,60 @@ This is an UNOFFICIAL release of the [RYOS](https://www.kaggle.com/competitions/
 
 ## Example Entry
 
-TODO
+| ID      | design_name | sequence      | structure     | reactivity                    | signal_to_noise_reactivity | errors_reactivity            | deg_pH10                      | signal_to_noise_deg_pH10 | errors_deg_pH10              | deg_50C                     | signal_to_noise_deg_50C | errors_deg_50C               | deg_Mg_pH10                   | signal_to_noise_deg_Mg_pH10 | errors_deg_Mg_pH10           | deg_Mg_50C                  | signal_to_noise_deg_Mg_50C | errors_deg_Mg_50C            | SN_filter |
+| ------- | ----------- | ------------- | ------------- | ----------------------------- | -------------------------- | ---------------------------- | ----------------------------- | ------------------------ | ---------------------------- | --------------------------- | ----------------------- | ---------------------------- | ----------------------------- | --------------------------- | ---------------------------- | --------------------------- | -------------------------- | ---------------------------- | --------- |
+| 9830366 | testing     | GGAAAUUUGC... | .......(((... | [0.4167, 1.5941, 1.2359, ...] | 5.326                      | [0.1689, 0.2323, 0.193, ...] | [1.5966, 2.6482, 1.3761, ...] | 4.198                    | [0.3058, 0.3294, 0.233, ...] | [0.7885, 1.93, 2.0423, ...] | 3.746                   | [0.2773, 0.328, 0.3048, ...] | [1.5966, 2.6482, 1.3761, ...] | 4.198                       | [0.3058, 0.3294, 0.233, ...] | [0.7885, 1.93, 2.0423, ...] | 3.746                      | [0.2773, 0.328, 0.3048, ...] | True      |
 
 ## Column Description
 
-TODO
+The RYOS dataset consists of the following columns, providing crucial insights for understanding RNA stability for vaccine design:
+
+- **ID**:
+  A unique identifier for each RNA sequence entry.
+
+- **design_name**:
+  The name given to each RNA design by contributors, used for easy reference.
+
+- **sequence**:
+  The nucleotide sequence of the RNA, using standard bases:
+
+  - **A**: Adenine
+  - **C**: Cytosine
+  - **G**: Guanine
+  - **U**: Uracil
+
+- **structure**:
+  The predicted secondary structure of the RNA, represented using dot-bracket notation.
+  The structure helps determine the likely secondary interactions within each RNA molecule.
+
+- **reactivity**:
+  A list of floating-point values that provide an estimate of the likelihood of the RNA backbone being cut at each nucleotide position.
+  These values help determine the stability of the RNA structure under various experimental conditions.
+
+- **deg_pH10** and **deg_Mg_pH10**:
+  Arrays of degradation rates observed under two conditions: incubation at pH 10 without and with magnesium, respectively.
+  These values provide insight into how different conditions affect the stability of RNA molecules.
+
+- **deg_50C** and **deg_Mg_50C**:
+  Arrays of degradation rates after incubation at 50°C, without and with magnesium.
+  These values capture how RNA sequences respond to elevated temperatures, which is relevant for storage and transportation conditions.
+
+- **\*\_error\_\* Columns**:
+  Arrays of floating-point numbers indicating the experimental errors corresponding to the measurements in the **reactivity** and **deg\_** columns. These values help quantify the uncertainty in the degradation rates and reactivity measurements.
+
+- **SN_filter**:
+  A filter applied to the dataset based on the signal-to-noise ratio, indicating whether a specific sequence meets the dataset’s quality criteria.
+
+  If the SN_filter is `1`, the sequence meets the quality criteria; otherwise, it does not.
+
+Note that due to technical limitations, the ground truth measurements are not available for the final bases of each RNA sequence, resulting in a shorter length for the provided labels compared to the full sequence.
 
 ## Variations
 
 This dataset is available in two subsets:
 
-- [RYOS-1](https://huggingface.co/datasets/multimolecule/ryos-1): The RYOS-1 dataset.
-- [RYOS-2](https://huggingface.co/datasets/multimolecule/ryos-2): The RYOS-2 dataset.
+- [RYOS-1](https://huggingface.co/datasets/multimolecule/ryos-1): The RYOS dataset from round 1 of the Eterna RYOS lab. The sequence length for RYOS-1 is 107, and the label length is 68.
+- [RYOS-2](https://huggingface.co/datasets/multimolecule/ryos-2): The RYOS dataset from round 2 of the Eterna RYOS lab. The sequence length for RYOS-2 is 130, and the label length is 102.
 
 ## License
 

test.parquet

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