Datasets:

pavelshpagin
/

SupportBench

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 91, in _split_generators
                  pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 193, in _generate_tables
                  examples = [ujson_loads(line) for line in batch.splitlines()]
                              ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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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	Networking	10,000	205	55.4%	884
Domotica-ES	Spanish	Smart Home / HA	10,000	530	58.3%	736
NASeros-ES	Spanish	NAS / Networking	10,000	761	46.5%	495
Tasmota-EN	English	IoT Firmware	10,000	1,237	31.5%	903
AdGuard-EN	English	Ad-blocking / VPN / DNS	10,000	954	46.2%	1,049

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.md

Message 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

Field	Type	Description
`id`	string	Unique message ID (`tg_{group}_{telegram_id}`)
`group_id`	string	Dataset/group name
`ts`	int	Unix timestamp in milliseconds
`sender`	string	Anonymized sender (`user_{sha256[:10]}`)
`body`	string	Message text with Unicode emoji preserved
`reply_to_id`	string\|null	ID of parent message
`grouped_id`	int\|null	Album group ID for multi-media posts
`media_type`	string\|null	`photo`, `video`, `image`, `document`, `pdf`, `archive`, `audio`, `webpage`, `poll`
`media_path`	string\|null	Relative path to media file (only in `ua_ardupilot`)
`webpage_url`	string\|null	URL from link preview
`reactions`	object\|null	Emoji reaction counts (only in `ua_ardupilot`)
`views`	int\|null	View count
`forwards`	int\|null	Forward count

Notes

All sender IDs are irreversibly anonymized via SHA-256 hashing
ua_ardupilot has richer metadata (reactions, media paths) from a separate export pipeline
AdGuard EN is a topics-based supergroup; reply_to_id often 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.

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