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Error code: StreamingRowsError Exception: TypeError Message: Couldn't cast array of type struct<id: string, messages: list<item: struct<content: string, role: string>>, source: string> to string Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise return get_rows( File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator return func(*args, **kwargs) File "/src/services/worker/src/worker/utils.py", line 77, in get_rows rows_plus_one = list(itertools.islice(ds, rows_max_number + 1)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2285, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__ for key, pa_table in self._iter_arrow(): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1888, in _iter_arrow pa_table = cast_table_to_features(pa_table, self.features) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2220, in cast_table_to_features arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()] File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2220, in <listcomp> arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()] File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1796, in wrapper return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks]) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1796, in <listcomp> return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks]) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2103, in cast_array_to_feature return array_cast( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1798, in wrapper return func(array, *args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1951, in array_cast raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}") TypeError: Couldn't cast array of type struct<id: string, messages: list<item: struct<content: string, role: string>>, source: string> to string
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General_English_only_SFT_Filtered_25k
数据集描述
这是一个包含25k条英文指令跟随数据的高质量数据集,经过精心筛选和过滤。
文件结构
dataset.jsonl
: 主数据文件(JSONL格式)
数据格式
数据集包含以下字段:
- text: str
- source: str
- category: str
- original_data: dict
使用方法
方法1: 使用datasets库
from datasets import load_dataset
# 加载数据集
dataset = load_dataset("Ibisbill/General_English_only_SFT_Filtered_25k")
print(dataset)
方法2: 直接下载JSONL文件
from huggingface_hub import hf_hub_download
import json
# 下载文件
file_path = hf_hub_download(
repo_id="Ibisbill/General_English_only_SFT_Filtered_25k",
filename="dataset.jsonl",
repo_type="dataset"
)
# 读取JSONL
data = []
with open(file_path, 'r', encoding='utf-8') as f:
for line in f:
data.append(json.loads(line))
print(f"加载了 {len(data)} 条记录")
示例数据
{
"text": "Is the premise \"Two young boys are headed toward a bicycle parked next to a brick house.\" true if \"Two boys are heading toward a bike.\"?\nOPTIONS:\n- yes\n- it is not possible to tell\n- no\nyes\nQ: \"Two people are eating something strange, as evidenced by her laugh and his nose-holding.\" Does this mean that \"Three people are eating something strange, as evidenced by her laugh and his nose-holding.\"? OPTIONS:\n- yes\n- it is not possible to tell\n- no\nA: no\nPremise & Hypothesis & Options: A group of students looking over a balcony on a senior trip.\nSome young people peer over a short wall.\nOPTIONS:\n- yes\n- it is not possible to tell\n- no\nIs the hypothesis true or not: yes\nPremise & hypothesis: Is the premise \"A man and small boy are playing with a wooden toy track system on the floor.\" true if \"The man and the boy are playing.\"?\nOPTIONS:\n- yes\n- it is not possible to tell\n- no\nA: yes\nPremise & hypothesis.\nA little girl runs on the wet sand near the ocean.\n\nHer feet sink into the sand.\nOPTIONS:\n- yes\n- it is not possible to tell\n- no\n++++++++++\ntrue or not.\nyes\nIs the premise \"A little girl in a red dress is standing on a trail in the forest with a horse in the background.\" true if \"a girl is waiting to ride her horse\"?\nOPTIONS:\n- yes\n- it is not possible to tell\n- no\n it is not possible to tell",
"source": "tulu3",
"category": "general",
"original_data": {
"id": "ai2-adapt-dev/flan_v2_converted_26714",
"messages": [
{
"content": "Is the premise \"Two young boys are headed toward a bicycle parked next to a brick house.\" true if \"Two boys are heading toward a bike.\"?\nOPTIONS:\n- yes\n- it is not possible to tell\n- no\nyes\nQ: \"Two people are eating something strange, as evidenced by her laugh and his nose-holding.\" Does this mean that \"Three people are eating something strange, as evidenced by her laugh and his nose-holding.\"? OPTIONS:\n- yes\n- it is not possible to tell\n- no\nA: no\nPremise & Hypothesis & Options: A group of students looking over a balcony on a senior trip.\nSome young people peer over a short wall.\nOPTIONS:\n- yes\n- it is not possible to tell\n- no\nIs the hypothesis true or not: yes\nPremise & hypothesis: Is the premise \"A man and small boy are playing with a wooden toy track system on the floor.\" true if \"The man and the boy are playing.\"?\nOPTIONS:\n- yes\n- it is not possible to tell\n- no\nA: yes\nPremise & hypothesis.\nA little girl runs on the wet sand near the ocean.\n\nHer feet sink into the sand.\nOPTIONS:\n- yes\n- it is not possible to tell\n- no\n++++++++++\ntrue or not.\nyes\nIs the premise \"A little girl in a red dress is standing on a trail in the forest with a horse in the background.\" true if \"a girl is waiting to ride her horse\"?\nOPTIONS:\n- yes\n- it is not possible to tell\n- no\n",
"role": "user"
},
{
"content": "it is not possible to tell",
"role": "assistant"
}
],
"source": "ai2-adapt-dev/flan_v2_converted"
}
}
数据统计
- 总样本数: 25000
- 数据格式: JSONL
- 文件大小: 约 25 MB
- Downloads last month
- 95