harika_kod,harika_kod

ds = tfds.load('huggingface:great_code')

The dataset for the variable-misuse task, described in the ICLR 2020 paper 'Global Relational Models of Source Code' [https://openreview.net/forum?id=B1lnbRNtwr]

This is the public version of the dataset used in that paper. The original, used to produce the graphs in the paper, could not be open-sourced due to licensing issues. See the public associated code repository [https://github.com/VHellendoorn/ICLR20-Great] for results produced from this dataset.

This dataset was generated synthetically from the corpus of Python code in the ETH Py150 Open dataset [https://github.com/google-research-datasets/eth_py150_open].

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    "source_tokens": {
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            "_type": "Value"
        },
        "length": -1,
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    "has_bug": {
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        "_type": "Value"
    },
    "error_location": {
        "dtype": "int32",
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    "repair_candidates": {
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    "bug_kind_name": {
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    "repair_targets": {
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    "edges": [
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                "license": {
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                "note": {
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}