pavelshpagin/SupportBench
SupportBench A multilingual benchmark for evaluating case extraction from real-world tech support group chats. SupportBench contains 60,000 messages across 6 datasets in 3 languages (English, Spanish, Ukrainian), spanning 6 technical domains. All messages are sourced from public Telegram support groups. Datasets Dataset Language Domain Messages Users Reply% Media Ardupilot-UA Ukrainian UAV / Drones 10,000 319 51.8% 1,440 MikroTik-UA Ukrainian… See the full description on the dataset page: https://huggingface.co/datasets/pavelshpagin/SupportBench.
SupportBench
A multilingual benchmark for evaluating case extraction from real-world tech support group chats.
SupportBench contains 60,000 messages across 6 datasets in 3 languages (English, Spanish, Ukrainian), spanning 6 technical domains. All messages are sourced from public Telegram support groups.
Datasets
Structure
SupportBench/
├── ua_ardupilot.json # Ukrainian drone/UAV support
├── mikrotik_ua.json # Ukrainian networking support
├── domotica_es.json # Spanish smart home support
├── naseros.json # Spanish NAS/networking support
├── tasmota.json # English IoT firmware support
├── adguard_en.json # English ad-blocking/VPN/DNS support
├── manifest.json # Benchmark metadata and stats
└── README.mdMessage Format
Each JSON file contains {"meta": {...}, "messages": [...]}. Each message:
{
"id": "tg_tasmota_12345",
"group_id": "tasmota",
"ts": 1700000000000,
"sender": "user_a1b2c3d4e5",
"body": "My Sonoff Basic won't flash via serial...",
"reply_to_id": "tg_tasmota_12340",
"grouped_id": null,
"media_type": "photo",
"media_path": null,
"webpage_url": null,
"reactions": null,
"views": 42,
"forwards": 0
}Fields
Notes
- All sender IDs are irreversibly anonymized via SHA-256 hashing
ua_ardupilothas richer metadata (reactions, media paths) from a separate export pipeline- AdGuard EN is a topics-based supergroup;
reply_to_idoften points to the topic root rather than the actual parent message (46.2% resolved within 10K window) - Tasmota spans 3.5 years of IoT firmware support history (1,274 days)
Intended Use
- Case extraction: identify problem-solution pairs from unstructured chat streams
- Thread reconstruction: reconstruct conversation threads from reply chains
- Cross-lingual transfer: evaluate whether case-mining generalizes across languages
- Q&A retrieval: mine question-answer pairs from technical discussions
Citation
@inproceedings{supportbench2026,
title={SupportBot: Continuous Case Mining for Grounded Technical Support},
author={Shpagin, Pavel},
booktitle={Proceedings of EMNLP 2026},
year={2026}
}License
CC BY 4.0. All messages are from public Telegram groups. Sender identities are irreversibly anonymized.
