Datasets:

DiljitSingh14
/

tradingIdeas

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Split (2)

train

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:    ValueError
Message:      One or several metadata.csv were found, but not in the same directory or in a parent directory of zip://11324720.png::hf://datasets/DiljitSingh14/tradingIdeas@7b9670a7182bfba60af6a94e2130d66005c6711c/train.zip.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 197, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2093, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 199, in __iter__
                  for key_example in islice(self.generate_examples_fn(**gen_kwags), shard_example_idx_start, None):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 375, in _generate_examples
                  raise ValueError(
              ValueError: One or several metadata.csv were found, but not in the same directory or in a parent directory of zip://11324720.png::hf://datasets/DiljitSingh14/tradingIdeas@7b9670a7182bfba60af6a94e2130d66005c6711c/train.zip.

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TradingView Ideas Dataset

This dataset contains trading ideas and analysis sourced from TradingView, split into training and testing datasets for machine learning purposes. It includes both image data (chart screenshots) and associated textual descriptions.

Dataset Structure

Root Folder Contents

train.zip: Compressed folder containing training data (images and JSON split).
test.zip: Compressed folder containing testing data (images and JSON split).
metadata.csv: A metadata file linking image filenames to their respective textual descriptions and features.

Metadata Structure

The metadata.csv file contains two columns:

file_name: The image filename (e.g., 18115109.png).
additional_feature: A text description combining various features from the original dataset.

Example:

file_name,additional_feature
18115109.png,"STOCK IN MOMENTUM...\nNSE:SUNDARMFIN trade at 4880 level..."

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