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rm deprecated train-eval-index (#2087)
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datasetcard.md

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@@ -95,25 +95,6 @@ extra_gated_fields:
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- {field_name_2}: {field_type_2} # Example: Email: text
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- {field_name_3}: {field_type_3} # Example for speech datasets: I agree to not attempt to determine the identity of speakers in this dataset: checkbox
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extra_gated_prompt: {extra_gated_prompt} # Example for speech datasets: By clicking on “Access repository” below, you also agree to not attempt to determine the identity of speakers in the dataset.
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# Optional. Add this if you want to encode a train and evaluation info in a structured way for AutoTrain or Evaluation on the Hub
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train-eval-index:
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- config: {config_name} # The dataset subset name to use. Example for datasets without subsets: default. Example for glue: sst2
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task: {task_name} # The task category name (same as task_category). Example: question-answering
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task_id: {task_type} # The AutoTrain task id. Example: extractive_question_answering
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splits:
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train_split: train # The split to use for training. Example: train
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eval_split: validation # The split to use for evaluation. Example: test
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col_mapping: # The columns mapping needed to configure the task_id.
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# Example for extractive_question_answering:
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# question: question
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# context: context
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# answers:
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# text: text
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# answer_start: answer_start
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metrics:
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- type: {metric_type} # The metric id. Example: wer. Use metric id from https://hf.co/metrics
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name: {metric_name} # Tne metric name to be displayed. Example: Test WER
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---
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Valid license identifiers can be found in [our docs](https://huggingface.co/docs/hub/repositories-licenses).

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