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README.md

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+---
+language:
+- en
+license: mit
+task_categories:
+- text-classification
+task_ids:
+- regression
+tags:
+- burnout
+- android
+- telemetry
+- stress-detection
+- keyboard-dynamics
+pretty_name: Synthetic Burnout Telemetry
+size_categories:
+- n<1K
+---
+
+# FRIDAY Synthetic Burnout Telemetry
+
+Synthetic Android telemetry dataset for training a lightweight burnout / urgency
+regression model (e.g. RoBERTa fine-tune).  Each row represents a single
+keyboard + notification event captured on a simulated Android device.
+
+## Dataset structure
+
+| Split      | Rows |
+|------------|------|
+| train      | 500  |
+| validation |  62  |
+| test       |  63  |
+
+## Fields
+
+| Field        | Type    | Description                                              |
+|--------------|---------|----------------------------------------------------------|
+| `input_text` | string  | Serialised signal string fed directly to the tokeniser   |
+| `label`      | float32 | Burnout / urgency score in **[0, 1]**                    |
+| `app`        | string  | Source application (Slack, Gmail, WhatsApp, Teams, System) |
+| `wpm`        | int32   | Typing speed in words per minute                         |
+| `backspaces` | int32   | Correction / backspace count in the session              |
+| `hour`       | int32   | Hour-of-day the event was captured (0–23)                |
+| `session_min`| int32   | Continuous screen-on duration in minutes                 |
+| `notif_count`| int32   | Pending notifications at event time                      |
+| `text`       | string  | Raw message or notification body                         |
+
+
+
+## Citation
+
+```bibtex
+@misc{friday_burnout_2024,
+  title  = {FRIDAY Synthetic Burnout Telemetry},
+  author = {Your Name},
+  year   = {2024},
+  note   = {Synthetic dataset for mobile stress detection research}
+}
+```

dataset_dict.json

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test/dataset_info.json

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+  "description": "",
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+      "_type": "Value"
+    },
+    "label": {
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+      "_type": "Value"
+    },
+    "app": {
+      "dtype": "string",
+      "_type": "Value"
+    },
+    "wpm": {
+      "dtype": "int32",
+      "_type": "Value"
+    },
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+      "_type": "Value"
+    },
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+      "_type": "Value"
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+      "_type": "Value"
+    },
+    "text": {
+      "dtype": "string",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": ""
+}

test/state.json

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train/dataset_info.json

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+  "license": ""
+}

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