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HenryHZY
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Split (1)

train

The dataset viewer is not available for this split.

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: Invalid value. 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: Expected object or value
              
              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 2831, 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 1845, 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 2012, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1507, 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 268, 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: Invalid value. in row 0

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YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co./docs/hub/datasets-cards)

Data Structure

./playground/data_VT
├── eval
│   ├── gqa
│   │   ├── answers
│   │   │   └── gqa_with_VTGenerator-13B_gen_vt
│   │   │       └── LLaVA-VT-13B
│   │   │           ├── merge.jsonl
│   │   │           └── testdev_balanced_predictions.json
│   │   ├── data
│   │   └── gqa_with_VTGenerator-13B_gen_vt.jsonl
│   ├── llava-bench-in-the-wild
│   │   ├── answers
│   │   │   └── llavabench_with_VTGenerator-13B_gen_vt
│   │   │       └── LLaVA-VT-13B
│   │   │           └── LLaVA-VT-13B.jsonl
│   │   ├── llavabench_with_VTGenerator-13B_gen_vt.jsonl
│   │   └── reviews
│   │       └── llavabench_with_VTGenerator-13B_gen_vt
│   │           └── LLaVA-VT-13B
│   │               └── LLaVA-VT-13B_gpt-3.5-turbo-1106.jsonl
│   ├── mmbench
│   │   ├── answers
│   │   │   └── mmbench_with_VTGenerator-13B_gen_vt
│   │   │       └── LLaVA-VT-13B
│   │   │           └── LLaVA-VT-13B.jsonl
│   │   └── answers_upload
│   │       └── mmbench_with_VTGenerator-13B_gen_vt
│   │           └── LLaVA-VT-13B
│   │               └── LLaVA-VT-13B.xlsx
│   ├── mmmu
│   │   ├── answers
│   │   │   └── mmmu_with_VTGenerator-13B_gen_vt
│   │   │       └── LLaVA-VT-13B
│   │   │           ├── gpt_eval_gpt-3.5-turbo-1106
│   │   │           └── mmmu_with_VTGenerator-13B_gen_vt_LLaVA-VT-13B.jsonl
│   │   ├── mmmu.jsonl
│   │   └── mmmu_with_VTGenerator-13B_gen_vt.jsonl
│   ├── mm-vet
│   │   ├── mmvet_with_VTGenerator-13B_gen_vt
│   │   │   ├── answers
│   │   │   │   └── LLaVA-VT-13B
│   │   │   │       └── mmvet_with_VTGenerator-13B_gen_vt_LLaVA-VT-13B.jsonl
│   │   │   └── results
│   │   │       └── LLaVA-VT-13B
│   │   │           ├── mmvet_with_VTGenerator-13B_gen_vt_LLaVA-VT-13B_gpt-4-32k-0613-cap-int-score-1runs.csv
│   │   │           ├── mmvet_with_VTGenerator-13B_gen_vt_LLaVA-VT-13B_gpt-4-32k-0613-cap-score-1runs.csv
│   │   │           ├── mmvet_with_VTGenerator-13B_gen_vt_LLaVA-VT-13B_gpt-4-32k-0613-grade-1runs.json
│   │   │           └── mmvet_with_VTGenerator-13B_gen_vt_LLaVA-VT-13B.json
│   │   └── mmvet_with_VTGenerator-13B_gen_vt.jsonl
│   ├── mmvp_mc
│   │   ├── answers
│   │   │   └── mmvp_mc_with_VTGenerator-13B_gen_vt
│   │   │       └── LLaVA-VT-13B
│   │   │           └── mmvp_mc_with_VTGenerator-13B_gen_vt_LLaVA-VT-13B.jsonl
│   │   ├── mmvp_mc.jsonl
│   │   └── mmvp_mc_with_VTGenerator-13B_gen_vt.jsonl
│   ├── pope
│   │   ├── answers
│   │   │   └── pope_with_VTGenerator-13B_gen_vt
│   │   │       └── LLaVA-VT-13B
│   │   │           └── merge.jsonl
│   │   ├── pope_coco_commitID_e3e39262c85a6a83f26cf5094022a782cb0df58d
│   │   │   ├── coco_pope_adversarial.json
│   │   │   ├── coco_pope_popular.json
│   │   │   └── coco_pope_random.json
│   │   └── pope_with_VTGenerator-13B_gen_vt.jsonl
│   ├── scienceqa
│   │   ├── answers
│   │   │   └── scienceqa_with_VTGenerator-13B_gen_vt
│   │   │       └── LLaVA-VT-13B
│   │   │           ├── LLaVA-VT-13B.jsonl
│   │   │           ├── LLaVA-VT-13B_output.jsonl
│   │   │           └── LLaVA-VT-13B_result.json
│   │   └── scienceqa_with_VTGenerator-13B_gen_vt.json
│   ├── textvqa
│   │   ├── answers
│   │   │   └── textvqa_with_VTGenerator-13B_gen_vt
│   │   │       └── LLaVA-VT-13B
│   │   │           └── merge.jsonl
│   │   └── textvqa_with_VTGenerator-13B_gen_vt.jsonl
│   ├── vizwiz
│   │   ├── answers
│   │   │   └── vizwiz_with_VTGenerator-13B_gen_vt
│   │   │       └── LLaVA-VT-13B
│   │   │           └── merge.jsonl
│   │   ├── answers_upload
│   │   │   └── vizwiz_with_VTGenerator-13B_gen_vt
│   │   │       └── LLaVA-VT-13B
│   │   │           └── LLaVA-VT-13B.json
│   │   └── vizwiz_with_VTGenerator-13B_gen_vt.jsonl
│   └── vqav2
│       ├── answers_upload
│       │   └── vqav2_dev_with_VTGenerator-13B_gen_vt
│       │       └── LLaVA-VT-13B.json
│       └── vqav2_dev_with_VTGenerator-13B_gen_vt.jsonl
├── eval_images_gen_vt
│   ├── gqa_gen_vt
│   │   └── VTGenerator-13B
│   │       └── merge.jsonl
│   ├── gqa_gen_vt.jsonl
│   ├── llavabench_gen_vt
│   │   └── VTGenerator-13B
│   │       └── merge.jsonl
│   ├── llavabench_gen_vt.jsonl
│   ├── mmbench_gen_vt
│   │   └── VTGenerator-13B
│   │       └── merge.jsonl
│   ├── mmbench_gen_vt.jsonl
│   ├── mmmu_gen_vt
│   │   └── VTGenerator-13B
│   │       └── merge.jsonl
│   ├── mmmu_gen_vt.jsonl
│   ├── mmvet_gen_vt
│   │   └── VTGenerator-13B
│   │       └── merge.jsonl
│   ├── mmvet_gen_vt.jsonl
│   ├── mmvp_gen_vt
│   │   └── VTGenerator-13B
│   │       └── merge.jsonl
│   ├── mmvp_gen_vt.jsonl
│   ├── pope_gen_vt
│   │   └── VTGenerator-13B
│   │       └── merge.jsonl
│   ├── pope_gen_vt.jsonl
│   ├── scienceqa_gen_vt
│   │   └── VTGenerator-13B
│   │       └── merge.jsonl
│   ├── scienceqa_gen_vt.jsonl
│   ├── textvqa_gen_vt
│   │   └── VTGenerator-13B
│   │       └── merge.jsonl
│   ├── textvqa_gen_vt.jsonl
│   ├── vizwiz_gen_vt
│   │   └── VTGenerator-13B
│   │       └── merge.jsonl
│   ├── vizwiz_gen_vt.jsonl
│   ├── vqav2_gen_vt
│   │   └── VTGenerator-13B
│   │       └── merge.jsonl
│   └── vqav2_gen_vt.jsonl
├── gpt_eval
│   ├── gqa
│   │   ├── gqa.jsonl
│   │   └── gqa_with_gpt4v_vt.jsonl
│   ├── mmmu
│   │   ├── mmmu.jsonl
│   │   └── mmmu_with_gpt4v_vt.jsonl
│   ├── mmvet
│   │   ├── mmvet.jsonl
│   │   └── mmvet_with_gpt4v_vt.jsonl
│   └── mmvp
│       ├── mmvp.jsonl
│       └── mmvp_with_gpt4v_vt.jsonl
├── README.md
├── train_images_gen_vt
│   ├── llava_instruct_mix665k_coco_gen_vt.jsonl
│   ├── llava_instruct_mix665k_ocrvqa_gen_vt.jsonl
│   ├── llava_instruct_mix665k_textcap_gen_vt.jsonl
│   ├── llava_instruct_mix665k_vg_gen_vt.jsonl
│   └── VTGenerator-13B_VT_292k.json
├── train_LLaVA-VT
│   └── llava_instruct_mix665k_with_VT.json
└── train_VTGenerator
    ├── finetune_VTGenerator_gpt4v_VT_61k.json
    └── pretrain_VTGenerator_llava_instruct_mix199k.json

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