Upload dataset
Browse files- README.md +49 -25
- data/test-00000-of-00001.parquet +2 -2
- data/train-00000-of-00001.parquet +2 -2
- data/valid-00000-of-00001.parquet +3 -0
README.md
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---
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dataset_info:
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features:
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- name: conversations
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list:
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- name: content
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@@ -9,46 +49,30 @@ dataset_info:
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dtype: string
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- name: strategy
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dtype: string
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- name: emotion
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dtype: string
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- name: experience
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dtype: string
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- name: problem
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dtype: string
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- name: situation
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dtype: string
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splits:
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- name: train
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num_bytes:
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num_examples: 910
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- name: validation
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num_bytes: 662566
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num_examples: 195
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- name: test
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num_bytes:
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num_examples: 195
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download_size:
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dataset_size:
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: validation
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path: data/validation-*
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- split: test
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path: data/test-*
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- text-generation
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- text-classification
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language:
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- en
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tags:
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- esconv
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- empathetic
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size_categories:
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- 1K<n<10K
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---
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# ESCONV for LLM
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This repository contains a reformatted version of the ESCONV dataset, tailored for seamless integration with Language Model (LLM) training and inference. The original dataset's format posed challenges for direct application in LLM tasks, prompting us to restructure and clean the data.
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---
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language:
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- en
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license: apache-2.0
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size_categories:
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- 1K<n<10K
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task_categories:
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- text-generation
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- text-classification
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dataset_info:
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features:
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- name: experience_type
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dtype: string
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- name: emotion_type
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dtype: string
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- name: problem_type
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dtype: string
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- name: situation
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dtype: string
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- name: survey_score
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struct:
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- name: seeker
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struct:
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- name: empathy
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dtype: string
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- name: final_emotion_intensity
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dtype: string
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- name: initial_emotion_intensity
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dtype: string
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- name: relevance
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dtype: string
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- name: supporter
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struct:
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- name: relevance
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dtype: string
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- name: seeker_question1
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dtype: string
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- name: seeker_question2
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dtype: string
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- name: supporter_question1
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dtype: string
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- name: supporter_question2
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dtype: string
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- name: conversations
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list:
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- name: content
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dtype: string
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- name: strategy
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dtype: string
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splits:
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- name: train
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num_bytes: 3089088
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num_examples: 910
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- name: test
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num_bytes: 668538
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num_examples: 195
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- name: valid
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num_bytes: 663512
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num_examples: 195
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download_size: 2191251
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dataset_size: 4421138
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: test
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path: data/test-*
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- split: valid
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path: data/valid-*
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tags:
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- esconv
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- empathetic
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---
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# ESCONV for LLM
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This repository contains a reformatted version of the ESCONV dataset, tailored for seamless integration with Language Model (LLM) training and inference. The original dataset's format posed challenges for direct application in LLM tasks, prompting us to restructure and clean the data.
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data/test-00000-of-00001.parquet
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size
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version https://git-lfs.github.com/spec/v1
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size 341466
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data/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:23fb8a3bcb43b0bda181a7e45c029cb14263cd179a81e187c6e312a909e7948b
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size 1509764
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data/valid-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:cc8103d3404d8b98a4981bc3467abf414b84ea9ea03a4bf7005a042c758c60f1
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size 340021
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