Convert dataset to Parquet
Browse filesConvert dataset to Parquet.
- README.md +42 -0
- cleaned/train-00000-of-00024.parquet +3 -0
- cleaned/train-00001-of-00024.parquet +3 -0
- cleaned/train-00002-of-00024.parquet +3 -0
- cleaned/train-00003-of-00024.parquet +3 -0
- cleaned/train-00004-of-00024.parquet +3 -0
- cleaned/train-00005-of-00024.parquet +3 -0
- cleaned/train-00006-of-00024.parquet +3 -0
- cleaned/train-00007-of-00024.parquet +3 -0
- cleaned/train-00008-of-00024.parquet +3 -0
- cleaned/train-00009-of-00024.parquet +3 -0
- cleaned/train-00010-of-00024.parquet +3 -0
- cleaned/train-00011-of-00024.parquet +3 -0
- cleaned/train-00012-of-00024.parquet +3 -0
- cleaned/train-00013-of-00024.parquet +3 -0
- cleaned/train-00014-of-00024.parquet +3 -0
- cleaned/train-00015-of-00024.parquet +3 -0
- cleaned/train-00016-of-00024.parquet +3 -0
- cleaned/train-00017-of-00024.parquet +3 -0
- cleaned/train-00018-of-00024.parquet +3 -0
- cleaned/train-00019-of-00024.parquet +3 -0
- cleaned/train-00020-of-00024.parquet +3 -0
- cleaned/train-00021-of-00024.parquet +3 -0
- cleaned/train-00022-of-00024.parquet +3 -0
- cleaned/train-00023-of-00024.parquet +3 -0
README.md
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We release a dataset containing 23,270 time-locked (0.7s) word-level EEG recordings acquired from 15 participants who read both text that was semantically relevant and irrelevant to self-selected topics.
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---
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dataset_info:
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config_name: cleaned
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features:
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- name: event
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dtype: int64
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- name: word
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dtype: string
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- name: topic
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dtype: string
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- name: selected_topic
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dtype: string
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- name: semantic_relevance
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dtype: int64
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- name: interestingness
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dtype: int64
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- name: pre-knowledge
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dtype: int64
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- name: sentence_number
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dtype: int64
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- name: participant
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dtype: string
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- name: eeg
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dtype:
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array2_d:
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shape:
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- 32
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- 2001
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dtype: float64
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splits:
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- name: train
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num_bytes: 11925180913
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num_examples: 23270
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download_size: 11927979870
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dataset_size: 11925180913
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configs:
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- config_name: cleaned
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data_files:
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- split: train
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path: cleaned/train-*
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default: true
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---
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We release a dataset containing 23,270 time-locked (0.7s) word-level EEG recordings acquired from 15 participants who read both text that was semantically relevant and irrelevant to self-selected topics.
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cleaned/train-00000-of-00024.parquet
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