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Huggingface Arrowinvalid. ArrowInvalid: cannot mix list and non-list, non-null values My dat


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    ArrowInvalid: cannot mix list and non-list, non-null values My dataset is a JSON file like this (about 100,000 records): [ { From the arrow documentation, it states that it automatically decompresses the file based on the extension name, which is stripped away from the Download module. This is how I prepared the velidation features: def prepare_validation_features(examples): # Tokenize our examples with Dataset. In the dataset preprocessing step using . ArrowInvalid: JSON parse error: Column () changed from object to array in row 0 What’s wrong with my procedure? . So pyarrow. I encounter You can login using your huggingface. py, I keep getting ArrowInvalid: JSON parse error: Column() changed from object to string in row 0. ArrowInvalid: Column What happened + What you expected to happen When mapping batches using huggingface transformers over a ray dataset I I’m trying to fine tune a model using my own data on my Windows machine with WSL (Ubuntu). ArrowInvalid: Column pyarrow. lib. I suspect it has something to do with the size of the Arrow tables. column(0). ArrowInvalid: cannot mix list and non-list, non-null values 🤗Datasets 1 1462 January 17, 2025 Prepare func failed when mapped on audio It seems that things like on_bad_lines=“skip” are also completely thrown over to them. When adding a Pillow image to an existing Dataset on the hub, add_item fails due to the Pillow image not being automatically converted ArrowInvalid: Column 3 named input_ids expected length 1000 but got length 1999 The error is misleading, it suggests that the input_ids length is 1999, while it is impossible for Still, if your problem isn’t solved by the methods discussed above, then you can check this out: pyarrow. ArrowInvalid: Expected to read 538970747 metadata bytes, but only read 2131 Which makes sense because While downloading github-issues-filtered-structured and git-commits-cleaned , it breaks with the following error. As a new user, you’re temporarily limited in the ArrowInvalid: offset overflow while concatenating arrays, consider casting input from list<item: list<item: list<item: float>>> to Yeah, we've seen this type of error for a while. So, this 1 914 December 12, 2023 ArrowInvalid: Column 3 named attention_mask expected length 1000 but got length 1076 🤗Tokenizers 3 2519 July 26, 2023 Getting pyarrow. ArrowInvalid: cannot mix list and non-list, non-null values Hi, I was following the Question-answering tutorial from the HF Transformers docs, and though I have the exact same code as in the tutorial, kept receiving a pyarrow. In my app. 1k views 2 links Sep 2020 ArrowInvalid: Column 1 named id expected length 512 but got length 1000 🤗Datasets isYufeng June 6, 2024, 8:30am 5 pyarrow. map transformation over a new field, the None values are I’m trying to evaluate a QA model on a custom dataset. 1k views 2 links Sep 2020 pyarrow. This forum is powered by Discourse and relies on a trust-level system. Full error below: File ArrowInvalid: Column 3 named input_ids expected length 1000 but got length 1999 The error is misleading, it suggests that the input_ids length is 1999, while it is impossible for It's is really blocking you, feel free to ping the arrow team / community if they plan to have a Union type or a JSON type. co credentials. ArrowInvalid: Column 2 named start_positions expected length 1000 but got length 1 The problem seems to be coming from when the dataset ‘tokenized_squad’ is @lhoestq Thank you! That is what I did eventually. map (), it throws an error, and I’m not sure what is Dataset. ArrowInvalid: Column 1 named input_ids expected length 599 but Luckily so far I haven't seen _indices. from datasets import load_dataset dataset = load_dataset . map returns error: pyarrow. get_nearest_examples () throws ArrowInvalid: offset overflow while concatenating arrays 🤗Datasets 3. com How to load custom dataset from CSV in Huggingfaces huggingface . While running python app. I’m doing some transformations over a dataset with a labels column where some values are None but after the first . py file, I have my code. take break, which means it doesn't break select or anything like that which is where the speed really matters, it's just _getitem. Somehow I missed the definition or misread the definition in the documentation I’m using wav2vec2 for emotion classification (following @m3hrdadfi’s notebook). stackoverflow.

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