SurvCancel

SurvCancel is an anonymized order-level temporal dataset for benchmarking survival-analysis models in demand-responsive transportation. Each JSONL record represents one focal order and contains static trip attributes, terminal outcome information, and an ordered sequence of system snapshots observed before the order outcome.

The dataset is designed for research on cancellation modeling, order matching, pickup dynamics, and time-to-event prediction in ride-pooling or demand-responsive transit systems.

This Hugging Face release is intentionally flat: each public region is stored in one JSONL shard, and all region shards are exposed as a single train split.

Dataset Summary

• Task type: survival analysis, time-to-event modeling, cancellation modeling
• Data type: anonymized order-level temporal snapshots
• Format: newline-delimited JSON (application/x-ndjson)
• Split: train
• Region shards: train-R1.jsonl, train-R2.jsonl, train-R3.jsonl, train-R4.jsonl
• License: CC BY-NC-SA 4.0

Files

README.md
SCHEMA.md
croissant.jsonld
checksums.sha256
sample/
  example_record.json
  sample_records.jsonl
train-R1.jsonl
train-R2.jsonl
train-R3.jsonl
train-R4.jsonl

sample/example_record.json and sample/sample_records.jsonl are provided for quick inspection. They are not part of the default Hugging Face dataset split.

Loading

from datasets import load_dataset

dataset = load_dataset("Couteau/SurvCancel", split="train", streaming=True)

To load one region directly:

from datasets import load_dataset

r1 = load_dataset(
    "json",
    data_files="hf://datasets/Couteau/SurvCancel/train-R1.jsonl",
    split="train",
    streaming=True,
)

Data Structure

Each top-level record includes:

• anonymized order and region identifiers
• passenger count
• pickup and dropoff coordinates in standardized planar coordinates
• terminal outcome type and timestamp
• an ordered snapshots array

Each snapshot includes the focal order state, active surrounding orders, available vehicles, and anonymized matched vehicle information when applicable. See SCHEMA.md for field-level documentation.

Labels and Outcomes

The terminal outcome is stored in end_type. Typical values include completed orders and pre-match or post-match cancellations. end_time stores the terminal timestamp for the focal order. Users can construct survival targets from the snapshot timeline and terminal outcome fields according to their experimental setup.

Anonymization

Source-system identifiers are replaced with salted HMAC-SHA256 surrogate strings:

• order_id -> ord_*
• vehicle_id and matched_vehicle_id -> veh_*
• region_id -> reg_*

The same original identifier in the same namespace maps to the same surrogate throughout this release. The private salt and source-to-surrogate mappings are not included.

Station identifier fields are omitted because they are not used by the benchmark features.

Coordinates are standardized planar coordinates, not raw latitude/longitude.

Integrity

checksums.sha256 contains SHA256 checksums for release files.

sha256sum -c checksums.sha256

Intended Use

This dataset is intended for academic and non-commercial research on survival analysis, demand-responsive transportation, ride-pooling, order matching, and cancellation or pickup time-to-event modeling.

License

This dataset is released under the Creative Commons Attribution-NonCommercial- ShareAlike 4.0 International License (CC BY-NC-SA 4.0).