juliadollis/SmolLM2-135M-Instruct_5ep_ok_2_test_predictions

--- dataset_info: features: - name: title dtype: 'null' - name: date dtype: 'null' - name: president dtype: 'null' - name: url dtype: string - name: question_order dtype: int64 - name: interview_question dtype: string - name: interview_answer dtype: string - name: gpt3.5_summary dtype: 'null' - name: gpt3.5_prediction dtype: 'null' - name: question dtype: string - name: annotator_id dtype: 'null' - name: annotator1 dtype: string - name: annotator2 dtype: string - name: annotator3 dtype: string - name: inaudible dtype: bool - name: multiple_questions dtype: bool - name: affirmative_questions dtype: bool - name: index dtype: int64 - name: clarity_label dtype: string - name: evasion_label dtype: string - name: prompt_infer dtype: string - name: clarity_label_norm dtype: string - name: clarity_pred dtype: string splits: - name: train num_bytes: 1781915 num_examples: 308 download_size: 684124 dataset_size: 1781915 configs: - config_name: default data_files: - split: train path: data/train-* ---This dataset includes multiple features, such as title, date, president, URL, question order, interview questions, interview responses, GPT3.5 summaries, GPT3.5 predictions, questions, annotator ID, Annotator 1, Annotator 2, Annotator 3, inaudible content, multiple questions, affirmative questions, index, clarity label, avoidance label, prompt inference, normalized clarity label, and clarity prediction. This dataset is primarily used to store interview-related data, including the textual content of questions and answers as well as relevant metadata. It is divided into a training set containing 308 examples, with a total size of 1781915 bytes.