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VGraf
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generation_1741648888

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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:      JSON parse error: Column(/messages/[]/content) changed from string to array in row 0
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
                  df = pandas_read_json(f)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1025, in read
                  obj = self._get_object_parser(self.data)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1051, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1187, in parse
                  self._parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1403, 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 231, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3212, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2051, in _head
                  return _examples_to_batch(list(self.take(n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2226, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1677, in __iter__
                  for key_example in islice(self.ex_iterable, self.n - ex_iterable_num_taken):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 299, in __iter__
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 163, in _generate_tables
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 137, in _generate_tables
                  pa_table = paj.read_json(
                File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column(/messages/[]/content) changed from string to array in row 0

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allenai/open_instruct: Generation Dataset

See https://github.com/allenai/open-instruct/blob/main/docs/algorithms/rejection_sampling.md for more detail

Configs 

args:
{'add_timestamp': True,
 'dataset_end_idx': 100,
 'dataset_mixer_list': ['allenai/tulu-3-sft-mixture', '100'],
 'dataset_splits': ['train', 'train'],
 'dataset_start_idx': 0,
 'hf_entity': 'VGraf',
 'hf_repo_id': 'generation',
 'mode': 'generation',
 'model_name_or_path': 'gpt-3.5-turbo-0125',
 'push_to_hub': True,
 'revision': 'main',
 'save_filename': '/weka/oe-adapt-default/victoriag/synth_data/safe_prompts.jsonl',
 'skill': 'safe_prompts'}

dataset_config:
{'batched': False,
 'binary_messages_key': 'messages',
 'chat_template': None,
 'convert_preference_to_binary_dataset': False,
 'dataset_source_key': 'dataset',
 'ground_truths_key': 'ground_truth',
 'label': 'binary_labels',
 'load_from_cache_file': False,
 'max_prompt_token_length': None,
 'max_token_length': None,
 'ncols': 2,
 'num_proc': 1,
 'preference_chosen_key': 'chosen',
 'preference_rejected_key': 'rejected',
 'sanity_check': True,
 'sanity_check_max_samples': 100,
 'sft_messages_key': 'messages',
 'train_only_on_prompt': False}

gen_args:
{'num_completions': 1,
 'response_length': 2048,
 'temperature': 0.8,
 'tensor_parallel_size': 1,
 'top_p': 0.9}

Reproduce this dataset

  1. Download the ['generation.py', 'safe_prompts.jsonl'] from the https://huggingface.co/datasets/VGraf/generation_1741648888.
  2. Run python open_instruct/rejection_sampling/generation.py --dataset_mixer_list allenai/tulu-3-sft-mixture 100 --dataset_splits train train --model_name_or_path gpt-3.5-turbo-0125 --num_completions 1 --skill safe_prompts --save_filename /weka/oe-adapt-default/victoriag/synth_data/safe_prompts.jsonl --sanity_check --push_to_hub
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