datasets可以直接从Python字典或者DataFrames内存数据结构中读取数据,创建一个datasets.Dataset对象。 加载python字典(datasets.Dataset.from_dict:) from datasets import Dataset my_dict = {"a": [1, 2, 3]} dataset = Dataset.from_dict(my_dict) Pandas DataFrame(datasets.Dataset.from_pandas:) from datase...
data_files={"train":"SQuAD_it-train.json","test":"SQuAD_it-test.json"}squad_it_dataset=load_dataset("json",data_files=data_files,field="data")squad_it_datasetDatasetDict({train:Dataset({features:['title','paragraphs'],num_rows:442})test:Dataset({features:['title','paragraphs'],num_...
("my_csv.csv")dataset=Dataset.from_pandas(data)tokenized_dataset=dataset.map(lambda samples: tokenizer(samples["text"]))trainer=transformers.Trainer(model=model,train_dataset=tokenized_dataset,args=transformers.TrainingArguments(per_device_train_batch_size=4,gradient_accumulation_steps=4,warmup_steps=...
使用df_pandas = train_data_s1.to_pandas()，请参阅文档。
dataset_c = Dataset.from_pandas(df_all[0:100]) ... python huggingface huggingface-datasets disruptive 5,889 asked May 13 at 14:36 0 votes 1 answer 499 views Getting a pyarrow.lib.ArrowInvalid: Column 1 named type expected length 44 but got length 21 when trying to create Hugging ...
rename(columns={"description": "text"}) # create the dataset from the pandas dataframe dataset = Dataset.from_pandas(history_df) def preprocess_function(examples): return tokenizer(examples['text'], padding='max_length', truncation=True) encoded_dataset = dataset.map(preprocess_function, batch...
!pip install pandas# for post-processing some data !pip install tqdm# for progress bars 然后,我们可以下载带有专家标注的示例数据集。 fromdatasetsimportload_dataset dataset = load_dataset("financial_phrasebank","sentences_allagree", split='train') ...
validation: Dataset({ features: ['start','target','feat_static_cat','feat_dynamic_real','item_id'], num_rows:366 }) }) 每个示例都包含一些键,其中start和target是最重要的键。让我们看一下数据集中的第一个时间序列: train_example = dataset['train'][0] ...
让我们通过访问Dataset.num_rows属性来看看我们在训练集中每个语言有多少个例子: import pandas as pd pd.DataFrame({lang: [panx_ch[lang]["train"].num_rows] for lang in langs}, index=["Number of training examples"]) 1. 2. 根据设计,我们在德语中的例子比其他所有语言的总和还要多,所以我们将以...
fromdatasetsimportload_datasetsplit="train"# "valid"filters=["pandas","sklearn","matplotlib","seaborn"]data=load_dataset(f"transformersbook/codeparrot-{split}",split=split,streaming=True)filtered_data=filter_streaming_dataset(data,filters)3.26%ofdataafterfiltering....