dataset build 2026-08-24 16:04
Browse files- .gitattributes +1 -0
- README.md +60 -0
- manifest.json +26 -0
- test.jsonl +0 -0
- train.jsonl +3 -0
- val.jsonl +0 -0
.gitattributes
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@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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train.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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task_categories:
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- text2text-generation
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tags:
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- scheduler
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- text-to-json
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- tagalog
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- taglish
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- synthetic
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- from-scratch
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size_categories:
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- 100K<n<1M
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---
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# Schedula dataset
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Fully synthetic, seeded, reproducible corpus for training **Schedula** - a tiny
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from-scratch model that turns messy natural language (English / Taglish /
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Filipino) into structured schedule JSON.
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## Modes
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| mode | input | output |
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|---|---|---|
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| `event_extract` | sentences, bullet dumps, decorated announcements (unicode stars/stylized headers), edit statements; embedded schedule JSON must be ignored | `{"events":[{title, category, date, start_time, duration_min, location, priority}]}` |
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| `duplicate_detect` | CURRENT LIST json (+ optional `"time_created": "... ##ignore"` metadata) + numbered NEW ITEMS (1-8) | `{"verdicts":[{duplicate, match_id, confidence, reason}]}` |
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## Conventions
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- `<today>` anchor date resolves every relative expression ("next week tue",
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"bukas", "sa loob ng 2 linggo").
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- Fields suffixed ` ##ignore` are app-owned metadata: present in inputs,
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never copied to outputs.
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- Items under "daily reminders"-style headers are undated (`null`) by design.
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- Category labels come from the per-example schema hint (default enum plus
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alternate English/Tagalog sets) so the model learns hint-driven mapping.
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- Duplicate boundaries include numbered schoolwork (`quiz #2` vs `quiz #3`
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never match) and EN<->Filipino translation pairs (do match).
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## Splits
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{
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"train": {
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"duplicate_detect": 63671,
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"event_extract": 136329
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},
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"val": {
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"duplicate_detect": 959,
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"event_extract": 2041
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},
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"test": {
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"duplicate_detect": 974,
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"event_extract": 2026
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}
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}
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Robustness noise (typos/filler/casing) appears only in val/test (18%).
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## Reproducibility
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Built by `python -m schedula.data.build --config configs/default.yaml`
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(seed 1337, created 2026-08-24). The generator lives at
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https://github.com/maxie-12321/schedula
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manifest.json
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{
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"seed": 1337,
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"config_data": {
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"out_dir": "data",
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"n_train": 200000,
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"n_val": 3000,
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"n_test": 3000,
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"robustness_frac": 0.2,
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"max_input_chars": 2400,
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"lang_mix": {
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"en": 0.45,
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"taglish": 0.35,
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"fil": 0.2
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},
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"mix": {
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"event_extract": 0.68,
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"duplicate_detect": 0.32
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}
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},
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"counts": {
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"train": 200000,
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"val": 3000,
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"test": 3000
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},
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"created": "2026-08-24"
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}
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test.jsonl
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train.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:1ae87c554ad1c79bbfdf0a37f1f4e466efca43b820a2eefd72df6f86e4ae4cec
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size 201240631
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val.jsonl
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