| --- |
| pretty_name: MDU-RiskText and MDU-RiskBench |
| language: |
| - en |
| - zh |
| license: other |
| task_categories: |
| - text-classification |
| tags: |
| - privacy |
| - video-to-text |
| - ordinal-classification |
| - youth-digital-use |
| - evidence-grounding |
| configs: |
| - config_name: video_only |
| data_files: |
| - split: train |
| path: MDU-RiskText/video_only/train.jsonl.gz |
| - split: validation |
| path: MDU-RiskText/video_only/validation.jsonl.gz |
| - split: test |
| path: MDU-RiskText/video_only/test.jsonl.gz |
| - config_name: non_video_only |
| data_files: |
| - split: train |
| path: MDU-RiskText/non_video_only/train.jsonl.gz |
| - split: validation |
| path: MDU-RiskText/non_video_only/validation.jsonl.gz |
| - split: test |
| path: MDU-RiskText/non_video_only/test.jsonl.gz |
| - config_name: all_filtered_text |
| data_files: |
| - split: train |
| path: MDU-RiskText/all_filtered_text/train.jsonl.gz |
| - split: validation |
| path: MDU-RiskText/all_filtered_text/validation.jsonl.gz |
| - split: test |
| path: MDU-RiskText/all_filtered_text/test.jsonl.gz |
| --- |
| |
| # MDU-RiskText and MDU-RiskBench |
|
|
| This repository contains the public 850-participant release associated with |
| PriVTE: Privacy-Preserving Video-to-Text Evidence Encoding for Youth Digital |
| Use Risk Screening. |
|
|
| ## Data products |
|
|
| - **MDU-RiskText** contains participant-level, privacy-filtered textual |
| evidence, the frozen ordinal target, and participant-disjoint split for all |
| 850 participants. |
| - **MDU-RiskBench** defines the task, label order, three headline evidence |
| settings, participant index, evaluation protocol, and reference metric code. |
|
|
| The frozen cohort contains 9,831 selected source videos. It is split into 593 |
| train, 131 validation, and 126 test participants. Target counts are 226 |
| `no_observed_risk`, 432 `mild_risk`, 172 `moderate_risk`, and 20 `high_risk`. |
|
|
| ## Load with Hugging Face Datasets |
|
|
| ```python |
| from datasets import load_dataset |
| |
| video = load_dataset("Herrieson/MDU-RiskText", "video_only") |
| non_video = load_dataset("Herrieson/MDU-RiskText", "non_video_only") |
| combined = load_dataset("Herrieson/MDU-RiskText", "all_filtered_text") |
| ``` |
|
|
| Replace `Herrieson/MDU-RiskText` if the final dataset repository uses a |
| different owner or name. Each row includes `sample_id`, `split`, |
| `target_label`, `benchmark_setting`, `llm_evidence_package`, and |
| `text_evidence`. The last field is the compact JSON string supplied to the |
| text-only model runners. |
|
|
| ## Headline settings |
|
|
| | Configuration | Model-facing evidence | |
| |---|---| |
| | `video_only` | PriVTE evidence derived from locally processed video | |
| | `non_video_only` | Coarsened app-category, heart-rate-bin, and questionnaire-risk text | |
| | `all_filtered_text` | PriVTE video evidence plus the coarsened auxiliary text | |
|
|
| ## Labels and evaluation |
|
|
| The four risk labels are ordinal in the order listed above. |
| `insufficient_evidence` is reserved for model abstention and is not a fifth |
| severity. The benchmark reports exact accuracy and macro-F1, together with |
| ordinal MAE and RMSE on non-abstained predictions and prediction coverage. |
|
|
| ## Data construction |
|
|
| The source cohort was collected in school-based field studies involving young |
| participants in primary, middle, and high school settings in Beijing, |
| Zhejiang, Inner Mongolia, and other regions. Participants completed an |
| approximately 45-minute tablet-use session. PriVTE processes source video |
| locally and emits ordered observable-behavior evidence with quality gates, |
| relative stages, and evidence references. Auxiliary inputs are released only |
| as coarse categories or risk-signal bins. |
|
|
| Each participant contributes at most 12 videos selected uniformly over source |
| order. Every selected file was required to be nonempty, parseable, contain a |
| video stream of known duration, and provide at least four seconds of video. |
| The selection protocol does not replace a failed selected file with a nearby |
| file. |
|
|
| ## Public record design |
|
|
| Public sample IDs (`MDURT_######`) are consistent across all three settings. |
| The release records contain the complete model-facing evidence used by |
| MDU-RiskBench, but omit redundant internal preprocessing/debug copies and |
| operational provenance fields. `MANIFEST.json` reports row counts, byte sizes, |
| and SHA-256 hashes for every release artifact. |
|
|
| ## Intended use |
|
|
| The resource supports research on privacy-preserving behavioral evidence, |
| text-only ordinal screening, evidence grounding, selective prediction, and |
| comparison with direct-video systems. The targets are field-derived screening |
| judgments rather than clinical diagnoses. Model outputs are intended for |
| research analysis and human review rather than automated punitive decisions. |
|
|
| ## License and citation |
|
|
| See `LICENSE_DATA.md` for the dataset terms and `CITATION.cff` for citation |
| metadata. Software scripts are released under the accompanying code license; |
| the data terms apply to MDU-RiskText and MDU-RiskBench records. |
|
|
