Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
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

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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
4
Ibisbill/General_English_only_SFT_Filtered_25k · Datasets at Hugging Face
Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
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

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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
4