WhissleAI/minds14-ner-emotion
收藏Hugging Face2024-05-08 更新2025-04-08 收录
下载链接：
https://hf-mirror.com/datasets/WhissleAI/minds14-ner-emotion
下载链接
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资源简介：
---
dataset_info:
features:
- name: dataset_name
dtype: string
- name: intent
dtype: string
- name: path
dtype: string
- name: transcription
dtype: string
- name: emotion
dtype: string
- name: transcription_entity
dtype: string
splits:
- name: train
num_bytes: 203188
num_examples: 563
download_size: 54148
dataset_size: 203188
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
```python
from datasets import load_dataset
# Load datasets
dataset2 = load_dataset("WhissleAI/minds14-train-annotated")["train"]
mydataset = load_dataset("PolyAI/minds14", name="en-US", split="train")
# Define a function to merge columns based on the key "path"
def merge_columns(example):
# Find the corresponding example in dataset2 based on the "path" key
matching_example = next((ex for ex in dataset2 if ex["path"] == example["path"]), None)
if matching_example:
# Merge columns from dataset2 to mydataset
example["intent"] = matching_example["intent"]
example["emotion"] = matching_example["emotion"]
example["transcription_entity"] = matching_example["transcription_entity"]
return example
# Apply the merge_columns function to each example in mydataset
merged_dataset = mydataset.map(merge_columns)
# Display the first few examples of the merged dataset
print(merged_dataset[:5])
提供机构：
WhissleAI
