Error code:   ConfigNamesError
Exception:    ValueError
Message:      invalid literal for int() with base 10: 'billing'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
                  ).get_module()
                    ~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 622, in get_module
                  dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 396, in from_dataset_card_data
                  dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 317, in _from_yaml_dict
                  yaml_data["features"] = Features._from_yaml_list(yaml_data["features"])
                                          ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2148, in _from_yaml_list
                  return cls.from_dict(from_yaml_inner(yaml_data))
                                       ~~~~~~~~~~~~~~~^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2144, in from_yaml_inner
                  return {name: from_yaml_inner(_feature) for name, _feature in zip(names, obj)}
                                ~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2139, in from_yaml_inner
                  return from_yaml_inner(obj["dtype"])
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2141, in from_yaml_inner
                  return {"_type": snakecase_to_camelcase(_type), **unsimplify(obj)[_type]}
                                                                    ~~~~~~~~~~^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2098, in unsimplify
                  label_ids = sorted(feature["class_label"]["names"], key=int)
              ValueError: invalid literal for int() with base 10: 'billing'

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Support Ticket Intents (POC)

Synthetic customer support ticket dataset for training intent routers and sentiment classifiers. For testing and scanner POCs only — all ticket text is fabricated.

Dataset summary

Split	Rows	Purpose
`train`	1,200	Model fine-tuning
`validation`	150	Hyperparameter tuning
`test`	150	Holdout evaluation

Fields

Column	Type	Description
`ticket_id`	string	Stable identifier (`TKT-2026-00001`)
`subject`	string	Ticket subject line (model input)
`body`	string	Full ticket body (optional second input)
`intent`	class	Routing label: billing, technical, account, sales, abuse
`sentiment`	class	CSAT proxy: negative, neutral, positive
`priority`	string	P1–P4
`channel`	string	email, chat, phone, portal
`created_at`	timestamp	ISO-8601 UTC

Label distribution (train)

intent:
  billing     24%
  technical   31%
  account     18%
  sales       20%
  abuse        7%

sentiment:
  negative    22%
  neutral     41%
  positive    37%

Usage

from datasets import load_dataset

ds = load_dataset("matt-ts/support-ticket-intents")
example = ds["train"][0]
print(example["subject"], example["intent"], example["sentiment"])

Provenance

Generated with templated scenarios for Acme Corp POC environments. No real customer data is included.

Models using this dataset

matt-ts/acme-sentiment-v2
matt-ts/internal-ticket-router

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