otel-data / deliveries /REVIEW_GUIDE.md
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# Human review guide: synthetic packets (Phase B) and Q&A rows (Phase C)
AT&T requires people to check about 2 % of every batch and report the error rate. Their acceptance limit is
**at most 2 % of items with a factual or domain error**. An AI judge has already checked everything; this review
measures how often it was wrong.
**Method: open the data files, scroll to random places, and review whatever you land on.** No list is pre-selected.
Spread your picks: different categories, different places in each file, real and synthetic, different question types.
## What to review and how many
| Package | Files | Target sample (~2 %) |
|---|---|---:|
| **Phase B - synthetic packets** (AI-written data documents modelled on a real run of the same scenario) | `phaseB_synthetic_packets_2026-10-24/data/<category>.jsonl` | ~21 packets (3 per category) |
| **Phase C - Q&A rows** (a data chunk + a question + an answer; real and synthetic chunks) | `phaseC_qa_rows_2026-10-24/data/<category>.jsonl` | ~110 rows (~16 per category) |
Split **by category**, so each person checks what they know best: lte-signalling, rf-signal-quality,
5g-core-signalling, ran-telemetry, network-performance, faults-ground-truth, aaa-radius. One category (3 packets +
16 Q&A rows) takes about 1.5-2 hours.
## Part 1 - Phase B synthetic packets
A packet claims to be another run of the measured scenario in its header (`scenario_label`); `seed_source_id` names
the real document it was modelled on. Check:
1. **Protocol** - messages, procedures and causes are standard and in the right order (3GPP / IETF / Open5GS,
srsRAN, FreeRADIUS behaviour). *Example errors:* Attach complete before Initial Context Setup; an Authentication
Reject carrying a cause code.
2. **Consistency** - the same subscriber, IDs, sessions and timings agree across all tables and the ground-truth
timeline. *Example errors:* a ping succeeds while the timeline says the UE was stopped; a test is "uplink" in the
table but "downlink" in the timeline.
3. **Plausibility** - values are possible for this setup: throughput vs. MCS and 10/20 MHz bandwidth, latencies,
RSRP/SNR, loss %, counters. *Example error:* 40 Mbps downlink with the MCS capped at 8.
4. **Realism** - it looks like a real run of that system, not invented patterns or suspiciously regular numbers.
5. **Scenario** - the records actually show the claimed scenario (e.g. an AUSF outage shows failed authentication).
6. **Label-free version** (`text_stripped`, spot-check a few): no scenario label, no "ground-truth timeline", no fault
events.
(45 packets that Phase C's Q&A answers found internally contradictory were already removed, with the Q&A rows built
on them; their ids are in `phaseB_synthetic_packets_2026-10-24/reports/removed_flagged_packets.json`.)
## Part 2 - Phase C Q&A rows
Every answer has two parts: **"What the records show"** (facts) and **"What it means"** (explanation). `provenance`
says whether the chunk is real or synthetic; `document_variant` is `labelled` or `stripped` (no scenario labels; used
for detection and root-cause questions). Check:
1. **Facts** - every value, time, identifier, message, count and difference in "What the records show" is in the
chunk or correctly computed from it. Spot-check at least 3 numbers per row. *Example errors:* "27 rejects" when the
chunk has 25; a time that is not in the chunk.
2. **Explanation** - "What it means" is correct standard behaviour and does not overclaim. *Example errors:* a wrong
NF role ("the UDM authenticates the UE" - it is the AUSF, with vectors from the UDM); claiming a root cause the
records cannot show; treating simulated (ZMQ / UERANSIM) or uncalibrated radio values as real field measurements.
3. **Question** - natural, answerable from the chunk, matches its `question_type`. An `unanswerable` row must say what
information is missing and not guess. On a `stripped` chunk the question must not reveal the scenario (e.g. "in
this AUSF-stop run..." is an error).
Please do **not** edit the data files, and do not share the packages outside the team before the review is done.