Datasets:

HiTZ
/

TOOLtifruti

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Column(/id) changed from string to number in row 8
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 183, in _generate_tables
                  df = pandas_read_json(f)
                       ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1392, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Trailing data
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 544, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 383, 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 186, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 160, 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(/id) changed from string to number in row 8

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The Basque evaluation ecosystem still lacks standardized datasets and protocols to assess agentic behavior, and in particular tool selection and tool use in end-to-end Agentic RAG settings. To address this gap, we introduce TOOLtifruti, an ad hoc dataset designed to evaluate whether an LLM can identify when a tool is needed and select the appropriate tool among multiple domain-specific options in our use case. This setup makes tool-calling evaluation straightforward and reproducible, and it also provides a common benchmark for end-to-end Agentic RAG evaluation, since each query is paired with a reference tool call and a reference answer.

TOOLtifruti contains queries from five domains. Each query is associated with one of these domains (and therefore with the corresponding tool). The dataset includes queries that can be answered without using any tool (no-tool). These queries span various categories, such as translation, mathematics, education, and programming. These are the domains:

BOPV/EHAA
Basque Parliament
Berria Newspaper
Basque Wikipedia
No-tool queries

Each dataset instance includes the query, its type (i.e., the tool/domain it maps to), the reference context required to answer it (the source passage from which the query was created), and the corresponding reference answer derived from that context. The following table shows a representative example for each domain:

Type	Query	Context	Answer
bopv	Zein da Euskal Autonomia Erkidegoko Trenbide Sarearen Lurraldearen Arloko Planak aurreikusten duen trenbide-zabaltzea?	EBAZPENA, 2016ko irailaren 27koa, Garraio Azpiegituren zuzendariarena, zeinaren bidez behin betiko onartzen baita Bilboko metropoli-trenbidearen 5. lineako Galdakao erdialdea [...]	Euskal Autonomia Erkidegoko Trenbide Sarearen Lurraldearen Arloko Planak otsailaren 27ko 41/2001 Dekretuaren bidez onartu eta otsailaren 22ko 34/2005 Dekretuaren bidez [...]
parl	Zein da EAJ/PNVren jarrera metal detektagailuen erabilerari buruzko lege proposamenaren inguruan?	[Arruabarrena Azpitarte, Mikel, (EAJ/PNV)]: [...] Laburki azalduta, ezezko botoa eman dugu, ikusi duzuen bezala, Gobernuaren iritzian oinarrituta. Izan ere, legeari [...]	EAJ/PNVk ezezko botoa eman dio EH Bilduk aurkeztutako lege-proposamenari, Eusko Jaurlaritzaren iritziarekin bat eginez. Arruabarrena Azpitarte (EAJ/PNV) arabera, metal detektagailuen erabilera jada [...]
news	Zein eragin izango du Joxerramon Bengoetxearen garaipenak EHUren norabidean?	Joxerramon Bengoetxea izango da EHUko errektoreberria, boto haztatuaren %64 lortuta. Norabide aldaketa EHU Euskal Herriko Unibertsitatean. [...]	Joxerramon Bengoetxearen garaipenak norabide aldaketa bat ekarriko du EHU Euskal Herriko Unibertsitatean. [...]
wikipedia	Zenbat liburu argitaratu ditu Julen Gabiriak?	Julen Gabiria "Connemara gure bihotzetan" liburuaren idazlea da. 1973ko urtarrilaren 19an jaioa, Galdakaon, idazle bizkaitar [...]	bi
notool friendly_chat	Kaixo, unibertsitaterako aurkezpen bat egin behar dut eta oso urduri jartzen naiz. Zein da zure aholkurik onena lasaitzeko?		Kaixo, erabat ulertzen dut — aurkezpenak oso urduri jartzen gaituzte! Hona hemen lagun zaitzaketen gauza batzuk: 1. \textbf{Arnasa hartu profesionalen} \textbf{moduan:} Erabili 4-7-8 metodoa [...]

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