Add TsFile (converted from DeepTempo/cic-ids-2017-flowprep)

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+cic_ids_2017_flowprep.tsfile filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: other
+license_name: cic-ids-2017-research-use
+license_link: https://www.unb.ca/cic/datasets/ids-2017.html
+task_categories:
+- tabular-classification
+language:
+- en
+tags:
+- tsfile
+- time-series
+- network-security
+- cybersecurity
+- netflow
+- flow
+- intrusion-detection
+- nids
+- canonical-schema
+- flowprep
+- deeptempo
+pretty_name: CIC-IDS-2017 Canonical NetFlow Flowprep TsFile
+size_categories:
+- 100K<n<1M
+modality: timeseries
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: cic_ids_2017_flowprep.tsfile
+---
+
+# CIC-IDS-2017 Canonical NetFlow Flowprep (TsFile)
+
+This repository contains an Apache TsFile conversion of
+[`DeepTempo/cic-ids-2017-flowprep`](https://huggingface.co/datasets/DeepTempo/cic-ids-2017-flowprep),
+a small CIC-IDS-2017 demonstration slice canonicalized by DeepTempo's
+`flowprep` tool into a typed NetFlow schema.
+
+Modalities: Time-series.
+
+## Source Dataset
+
+- **Original dataset:** [`DeepTempo/cic-ids-2017-flowprep`](https://huggingface.co/datasets/DeepTempo/cic-ids-2017-flowprep)
+- **Source artifact:** `data/cic-ids-2017-canonical.parquet`
+- **Rows:** 101,094 flows
+- **Columns:** 13 source columns
+- **Task:** binary intrusion-detection / tabular classification
+- **Source format:** ZSTD-compressed Parquet, single row group
+- **Source timestamp encoding:** int64 epoch microseconds
+- **Source license metadata:** `other`, `cic-ids-2017-research-use`
+- **License link:** https://www.unb.ca/cic/datasets/ids-2017.html
+
+The source dataset is a clean canonical NetFlow table produced by `flowprep`
+from a CIC-IDS-2017 sample. It is a demonstration slice, not the full
+CIC-IDS-2017 dataset. For research use, refer to the official UNB CIC dataset
+page and cite the original CIC-IDS-2017 paper.
+
+## Converted Data
+
+- **TsFile path:** `cic_ids_2017_flowprep.tsfile`
+- **TsFile table:** `cic_ids_2017_flowprep`
+- **Rows:** 101,094
+- **Converted columns:** 14 including `Time` and generated `event_rank`
+- **Device/TAG groups:** 1,780
+- **Time precision:** microseconds
+- **Time range:** 2017-03-07 01:00:01 UTC to 2017-07-07 12:59:00 UTC
+- **Class balance:** 81,171 benign / 19,923 attack
+
+## TsFile Schema
+
+`timestamp` is converted to the TsFile `Time` column as epoch microseconds and
+is not retained as a duplicate FIELD.
+
+TAG columns:
+
+- `attack`
+- `label`
+- `event_rank`
+
+FIELD columns:
+
+- `src_ip`
+- `dest_ip`
+- `src_port`
+- `dest_port`
+- `fwd_bytes`
+- `bwd_bytes`
+- `fwd_pkts`
+- `bwd_pkts`
+- `flow_dur`
+- `protocol`
+
+`protocol` is null for all rows in this source slice and is preserved as a
+nullable numeric FIELD for canonical-schema fidelity.
+
+## Conversion Notes
+
+This is a network-flow event table. High-cardinality endpoint columns such as
+`src_ip`, `dest_ip`, `src_port`, and `dest_port` are kept as FIELD columns rather
+than TAG/device keys. The low-cardinality ground-truth columns `attack` and
+`label` are TAGs for efficient filtering.
+
+`event_rank` is a generated TAG that preserves all concurrent flows without
+modifying `Time`. It is the duplicate order within `(attack, label, Time)`.
+In this source snapshot, `event_rank` ranges from 0 to 1,587 and 88,916 rows
+have a nonzero rank. The final `(attack, label, event_rank, Time)` key has no
+duplicates.
+
+No source rows are dropped. The source `timestamp` column is represented by
+TsFile `Time`; all other source columns are represented either as TAG or FIELD
+columns.
+
+## Minimal Read Example
+
+Read the `.tsfile` file with the Apache TsFile Java or Python SDK.
+
+Example logical filter:
+
+```sql
+SELECT *
+FROM cic_ids_2017_flowprep
+WHERE attack = 'attack'
+```
+
+## Citation
+
+If you use the data, cite the original CIC-IDS-2017 paper:
+
+```bibtex
+@inproceedings{sharafaldin2018toward,
+  title     = {Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization},
+  author    = {Sharafaldin, Iman and Lashkari, Arash Habibi and Ghorbani, Ali A.},
+  booktitle = {Proceedings of the 4th International Conference on Information Systems Security and Privacy (ICISSP)},
+  year      = {2018}
+}
+```

cic_ids_2017_flowprep.tsfile

@@ -0,0 +1,3 @@
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+size 5102054