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[Errno 39] Directory not empty: '/storage/hf-datasets-cache/medium/datasets/24338055408718-config-parquet-and-info-Jonnylaw-chat-conversatio-46fbba2b/Jonnylaw___chat-conversation-trainer/default/0.0.0/04be7aaff8d903a559f7248b0363e4b33a76b90c.incomplete'
Error code: UnexpectedError
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_data_files
list | _fingerprint
string | _format_columns
sequence | _format_kwargs
dict | _format_type
null | _indexes
dict | _output_all_columns
bool | _split
null |
|---|---|---|---|---|---|---|---|
[
{
"filename": "dataset.arrow"
}
] | f5320215e9ad04e1 | [
"target",
"text"
] | {} | null | {} | false | null |
AutoTrain Dataset for project: flan-large-conv
Dataset Description
This dataset has been automatically processed by AutoTrain for project flan-large-conv.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"text": "What is the largest insect in the world?",
"target": "The largest insect in the world is the Goliath Beetle."
},
{
"text": "What is the largest amphibian in the world?",
"target": "The largest amphibian in the world is the Chinese giant salamander."
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"text": "Value(dtype='string', id=None)",
"target": "Value(dtype='string', id=None)"
}
Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
|---|---|
| train | 158 |
| valid | 40 |
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