Datasets:

Xinmu7
/

kuaishou-LLMRec

Error code:   FeaturesError
Exception:    ValueError
Message:      Trailing data
Traceback:    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/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, 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 2661, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 251, in _generate_tables
                  batch = "\n".join(ujson_dumps(x) for x in ujson_loads(full_data)).encode()
                                                            ~~~~~~~~~~~^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
              ValueError: Trailing data

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Dataset Card for LLMRec Multi-Domain Recommendation Dataset

This dataset is a Large Language Model-based Recommendation (LLMRec) dataset constructed from multi-domain user behavior logs, including short video, e-commerce, live streaming, and advertising scenarios.

It is designed to train LLMs for cross-domain sequential recommendation and next-item prediction.

Dataset Details

Dataset Description

This dataset contains structured user behavior sequences across multiple domains:

Live streaming (follow / watch / reward)
E-commerce (browse / click / purchase)
Short video (watch / like / comment / long-view)
Advertising (click / conversion)

Each sample is formulated as a supervised fine-tuning (SFT) task, where the model learns to predict target items based on multi-domain historical behaviors.

Curated by: Xinmu7
Language(s) (NLP): Chinese (behavior logs + structured tokens)
License: Apache-2.0

Dataset Sources [optional]

Repository: https://huggingface.co/datasets/Xinmu7/kuaishou-LLMRec

Uses

Direct Use

This dataset is intended for:

Large Language Model for Recommendation (LLMRec)
Cross-domain recommendation modeling
Sequential user behavior modeling
Multi-task recommendation learning

Out-of-Scope Use

Natural language generation tasks
Chatbot training without adaptation
Non-recommendation NLP tasks

Dataset Structure

Each sample is a JSON object:

{
  "system": "instruction for recommendation task",
  "prompt": "multi-domain user behavior sequence",
  "response": "target item"
}

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Total file size:

243 MB