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Datasets:
pavelshpagin
/
SupportBench

Tasks:
Text Classification
Question Answering
Languages:
English
Spanish
Ukrainian
Size:
10K<n<100K
Tags:
technical-support
case-extraction
multilingual
chat
telegram
benchmark
License:
Dataset card Files
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ValueError
Message:      Expected object or value
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 246, in _generate_tables
                  pa_table = paj.read_json(
                             ^^^^^^^^^^^^^^
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 260, in _generate_tables
                  batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 106, in json_encode_fields_in_json_lines
                  examples = [ujson_loads(line) for line in original_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

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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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