# ASIA 2026: (E-) -> ISNCSCI Imputation — Data

来源：https://www.kaggle.com/competitions/asia-2026-e-isncsci-imputation/data

采集时间：2026-10-20T09:42:27Z

To participate in this challenge, please follow [this link](https://na.eventscloud.com/esurvey/index.php?surveyid=130890&st=ef3fbf80007daf4f6ee36f4ca0174de488dc1bba), in order to access the data. Data are provided as four separate *.csv* files and one template for submission. Column names and possible variable options are detailed in the data dictionary *DataDictionary_ASIA_Challenge.csv*.

**Please note that after you submit this request a human needs to review and approve this, and thus there may be a delay depending on time zones and weekends**

##Files
- *metadata_train_1.csv* and *metadata_test_1.csv*
Includes time-invariant features (including age, bmi, but also information on previous conditions). Format: rows - IDs; columns - metadata features

- *features_train_1.csv*
All features, including E-ISNCSCI assessments, at a fixed, known, timepoint after injury indicated in the column"time". Each row corresponds to a specific ID. Columns are features in terms of E-ISNCSCI scores. Note the data dictionary for column interpretation.

- *labels_train_1.csv*
ISNCSCI sensory scores assessed at the same timepoint as E-ISNCSI features. Note that we skipped all scores that are already assessed for all IDs in the E-ISNCSCI assessment (motor scores, VAC and S45LT right).Rows indicate IDs.


- *features_test_1.csv*
E-ISNCSCI assessments and assessment time point for test cases in the same format as features_train_1.csv. Each row corresponds to a specific ID and time point, columns are features.  

- *labels_test_1_dummy.csv*
ISNCSCI sensory scores as expected to be received for predictions in the same format as labels_train_1.csv. Rows indicate IDs as given in test_features.csv. This is the format that should be used to submit the solution.