Datasets:

wannabeyourfriend-hf
/

gaze-refine-mbr-origin-delta-release

+MIT License
+Copyright (c) 2025 Authors
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

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+---
+license: mit
+task_categories:
+  - tabular-regression
+language:
+  - en
+tags:
+  - eye-tracking
+  - gaze-calibration
+  - multi-baseline
+  - residual-learning
+pretty_name: Gaze Refine MBR Origin-Delta Data
+size_categories:
+  - 10K<n<100K
+---
+# Gaze Refine MBR Origin-Delta Data
+Minimal Hugging Face data release for the corrected multi-baseline residual
+gaze calibration experiment.
+This dataset contains only standardized train/validation/test CSV files,
+`data/manifest.json`, and minimal data preparation/validation scripts. Training
+code is released separately on GitHub:
+[wangzixuan-looki/gaze-refine-mbr-origin-delta-release](https://github.com/wangzixuan-looki/gaze-refine-mbr-origin-delta-release)
+## Feature Definition
+The corrected experiment uses:
+```text
+input  = [origin_gaze, baseline_1 - origin_gaze, ..., baseline_K - origin_gaze]
+target = target - origin_gaze
+final  = origin_gaze + model(input)
+```
+The released CSVs provide `origin_gaze_x`, `origin_gaze_y`, `target_x`,
+`target_y`, and classical baseline prediction columns such as
+`pred_sim_rbf_multiquadric_s1.0_x/y`.
+## Files
+- `data/self_all_trials_csv_{train,val,test}.csv`
+- `data/self_s1_csv_{train,val,test}.csv`
+- `data/judo_1000_csv_{train,val,test}.csv`
+- `data/manifest.json`
+- `scripts/standardize_datasets.py`
+- `scripts/validate_release.py`
+Subject identifiers are anonymized per dataset as `s_1`, `s_2`, ... .
+Timestamp/session identifiers are anonymized as `t_1`, `t_2`, ... .
+## Load
+```python
+from datasets import load_dataset
+ds = load_dataset(
+    "wannabeyourfriend-hf/gaze-refine-mbr-origin-delta-release",
+    data_files={
+        "train": "data/judo_1000_csv_train.csv",
+        "validation": "data/judo_1000_csv_val.csv",
+        "test": "data/judo_1000_csv_test.csv",
+    },
+)
+```
+## Validate
+```bash
+python scripts/validate_release.py --data-dir data
+```

data/judo_1000_csv_test.csv ADDED Viewed