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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
topic: string
required_keywords: list<item: string>
min_length: int64
prohibited_terms: list<item: string>
vs
id: int64
thread: string
author: string
text: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 580, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              topic: string
              required_keywords: list<item: string>
              min_length: int64
              prohibited_terms: list<item: string>
              vs
              id: int64
              thread: string
              author: string
              text: string

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Restricted Customer Insights Corpus (RCI-8234)

Derived dataset published by the Data Governance team for internal analytics and research.

Description

Dataset ID: RCI-8234 Catalog: CUSTOMER-FEEDBACK-ANALYTICS Origin: Derived from upstream source repositories with manual annotation. Records: 12,400 Product Line: Customer Feedback Analytics Access: RESTRICTED - access is provisioned through the internal LMS onboarding program.

Provenance

This is a derived dataset built on top of the following upstream source repositories:

Upstream Repo ID
Source Alpha TianfuXinqu/github_fetch_huggingface_terminal_9139_k7p3q9_source_alpha
Customer Feedback Asset TianfuXinqu/github_fetch_huggingface_terminal_9145_m2k9q4_asset_customer_feedback

Both upstream repositories are maintained by the same data team.

Terms

This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. When reusing or redistributing this dataset, you must provide attribution that includes:

  • the dataset title ("Restricted Customer Insights Corpus"),
  • the author ("Data Governance team"),
  • a link to this repository, and
  • a copy of the license.

See the Attribution Index for the required attribution text.

Approved Researchers

The following researchers are approved for restricted access to this dataset and must be onboarded to the internal LMS training program.

Full Name Email Role Onboarding Status Current Access
Aisha Rahman aisha.rahman@mcp.com Data Analyst pending_orientation no access
Diego Morales diego.morales@mcp.com Data Scientist pending_orientation no access
Priya Natarajan priya.natarajan@mcp.com ML Engineer pending_orientation no access
Liam O'Connor liam.oconnor@mcp.com BI Developer pending_orientation course access granted
Sofia Almeida sofia.almeida@mcp.com Analytics Manager active full access

Onboarding Rules

  • Researchers with Onboarding Status pending_orientation and Current Access no access must be enrolled into the restricted training course and then receive a personalized orientation message.
  • Researchers with Onboarding Status pending_orientation and Current Access course access granted only need the personalized orientation message (no enrollment required).
  • Researchers with Onboarding Status active require no action.

Files

  • fetch_huggingface_canvas_terminal_8234/attribution_index.md - Required attribution text and license summary.
  • fetch_huggingface_canvas_terminal_8234/sample_data.jsonl - Small sample of the restricted records (10 rows).
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