Dataset Viewer
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: CastError
Message: Couldn't cast
idx: int64
artifact_type: string
article: string
artifact_topic: string
criteria: list<item: struct<description: string, checklist: list<item: string>>>
child 0, item: struct<description: string, checklist: list<item: string>>
child 0, description: string
child 1, checklist: list<item: string>
child 0, item: string
criteria_objs: list<item: struct<criterion: string, abstractions: list<item: struct<description: string, checklist: (... 794 chars omitted)
child 0, item: struct<criterion: string, abstractions: list<item: struct<description: string, checklist: list<item: (... 782 chars omitted)
child 0, criterion: string
child 1, abstractions: list<item: struct<description: string, checklist: list<item: struct<item: string, satisfied: int64, (... 72 chars omitted)
child 0, item: struct<description: string, checklist: list<item: struct<item: string, satisfied: int64, aware: int6 (... 60 chars omitted)
child 0, description: string
child 1, checklist: list<item: struct<item: string, satisfied: int64, aware: int64, reason: string>>
child 0, item: struct<item: string, satisfied: int64, aware: int64, reason: string>
child 0, item: string
child 1, satisfied: int64
child 2, aware: int64
child 3, reason: string
child 2, lateral_alternatives: list<item: null>
child 0, item: null
...
child 5, reason: string
child 6, is_update: bool
child 7, update_thresholds: list<item: double>
child 0, item: double
child 3, aware: int64
child 4, satisfied: int64
child 5, reason: string
child 6, is_update: bool
child 7, update_thresholds: list<item: double>
child 0, item: double
child 3, aware: int64
child 4, satisfied: int64
child 5, reason: string
child 6, is_update: bool
child 7, update_thresholds: list<item: double>
child 0, item: double
child 3, aware: int64
child 4, satisfied: int64
child 5, reason: string
child 6, is_update: bool
child 7, update_thresholds: list<item: double>
child 0, item: double
initial_request: string
model: string
effort: null
single_turn_metadata: struct<authors: string, num_tokens: int64, tags: string, timestamp: string, url: string>
child 0, authors: string
child 1, num_tokens: int64
child 2, tags: string
child 3, timestamp: string
child 4, url: string
single_turn_prompt: string
single_turn_completion: string
to
{'idx': Value('int64'), 'single_turn_prompt': Value('string'), 'single_turn_completion': Value('string'), 'single_turn_metadata': {'authors': Value('string'), 'num_tokens': Value('int64'), 'tags': Value('string'), 'timestamp': Value('string'), 'url': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
idx: int64
artifact_type: string
article: string
artifact_topic: string
criteria: list<item: struct<description: string, checklist: list<item: string>>>
child 0, item: struct<description: string, checklist: list<item: string>>
child 0, description: string
child 1, checklist: list<item: string>
child 0, item: string
criteria_objs: list<item: struct<criterion: string, abstractions: list<item: struct<description: string, checklist: (... 794 chars omitted)
child 0, item: struct<criterion: string, abstractions: list<item: struct<description: string, checklist: list<item: (... 782 chars omitted)
child 0, criterion: string
child 1, abstractions: list<item: struct<description: string, checklist: list<item: struct<item: string, satisfied: int64, (... 72 chars omitted)
child 0, item: struct<description: string, checklist: list<item: struct<item: string, satisfied: int64, aware: int6 (... 60 chars omitted)
child 0, description: string
child 1, checklist: list<item: struct<item: string, satisfied: int64, aware: int64, reason: string>>
child 0, item: struct<item: string, satisfied: int64, aware: int64, reason: string>
child 0, item: string
child 1, satisfied: int64
child 2, aware: int64
child 3, reason: string
child 2, lateral_alternatives: list<item: null>
child 0, item: null
...
child 5, reason: string
child 6, is_update: bool
child 7, update_thresholds: list<item: double>
child 0, item: double
child 3, aware: int64
child 4, satisfied: int64
child 5, reason: string
child 6, is_update: bool
child 7, update_thresholds: list<item: double>
child 0, item: double
child 3, aware: int64
child 4, satisfied: int64
child 5, reason: string
child 6, is_update: bool
child 7, update_thresholds: list<item: double>
child 0, item: double
child 3, aware: int64
child 4, satisfied: int64
child 5, reason: string
child 6, is_update: bool
child 7, update_thresholds: list<item: double>
child 0, item: double
initial_request: string
model: string
effort: null
single_turn_metadata: struct<authors: string, num_tokens: int64, tags: string, timestamp: string, url: string>
child 0, authors: string
child 1, num_tokens: int64
child 2, tags: string
child 3, timestamp: string
child 4, url: string
single_turn_prompt: string
single_turn_completion: string
to
{'idx': Value('int64'), 'single_turn_prompt': Value('string'), 'single_turn_completion': Value('string'), 'single_turn_metadata': {'authors': Value('string'), 'num_tokens': Value('int64'), 'tags': Value('string'), 'timestamp': Value('string'), 'url': Value('string')}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Intent trees for the CollabLLM medium benchmark
One intent tree for each of the first 100 test documents (idx 0–99) of the CollabLLM document-writing benchmark medium. An intent tree is a user's hidden writing goal broken into requirements, ordered from broad (roots) to specific (leaves), as in DiscoverLLM (arXiv 2602.03429).
Note: each tree includes its full source article, which is medium's hidden reference (the test label). Do not train on these files if you evaluate on medium.
Files
trees/<idx>/seed.json: one tree per document.idxis the benchmark's_global_idx, i.e. the row orderbenchmark_medium.py --eval_size 100scores.docs.jsonl: the 100 source documents (idx,single_turn_prompt,single_turn_completion,single_turn_metadata).
Fields of seed.json:
| field | holds |
|---|---|
criteria_objs[0]["hierarchy"] |
the tree: nodes with id ("1.2.1"), text, children, plus DiscoverLLM's simulator state fields (satisfied, aware, is_update, update_thresholds, reason) |
criteria_objs[0]["abstractions"] |
the 6 checklist levels the tree was built from, most general first; [-1] is the original, most specific checklist |
initial_request |
DiscoverLLM's generated vague first user message |
article |
the title + article the tree was built from |
artifact_topic, criteria, idx, model |
topic, description + checklist, index, builder model |
criteria_objs + initial_request is the cached-seed format DiscoverLLM's
runner loads (<output_dir>/<artifact_id>/seed.json).
How they were built
DiscoverLLM's own, unchanged tree code (tsook/discoverllm @ 2050605): it
creates a checklist from the article, makes it more general 5 times, and links
the levels into a tree. The model was Claude Sonnet 4.5 (the paper's
model), at temperature 0.3, max_tokens 8192 and no thinking. Artifact type:
"Blog article (under 500 words)". Total cost $13.43.
- Shape: nodes median 25 (16–53), depth median 5 (3–8), roots median 6 (1–13), similar to DiscoverLLM's released creative-writing trees.
- Known quirks, kept as built: idx 4 and idx 97 each skip one middle checklist item in the tree (their more specific children are present). At idx 83, one item with a colon parsed as a dict and was joined back to "X: Y".
Scoring a document against its tree
Rate the document 1–5 against every item of abstractions[-1] with
DiscoverLLM's evaluate_artifact_quality prompt, then report the mean score
(Qual), the share scored ≥4 (intents met), the share scored 5 (fully met), and
the share of tree leaves scored ≥4.
Source
The documents come from CollabLLM's medium benchmark
(collabllm/collabllm-multiturn-medium); their terms apply to the article text.
- Downloads last month
- -