Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Invalid value. in row 0
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 183, in _generate_tables
                  df = pandas_read_json(f)
                       ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1392, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 544, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 383, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 186, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
                  pa_table = paj.read_json(
                             ^^^^^^^^^^^^^^
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0

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.

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Cloudflare Worker Image

使用 Cloudflare Worker 处理图片, 依赖 Photon,支持缩放、剪裁、水印、滤镜等功能。


Cloudflare Workers GitHub License GitHub Repo stars

已经适配了 Vercel Edge, 见 https://github.com/ccbikai/vercel-edge-image

支持特性

  1. 支持 PNG、JPEG、BMP、ICO、TIFF 格式图片处理
  2. 可输出 JPEG、PNG、WEBP 格式图片,默认输出 WEBP 格式图片
  3. 支持管道操作,可以执行多个操作
  4. 支持 Cloudflare 缓存
  5. 支持图片地址白名单,防滥用
  6. 异常降级,如果处理失败返回原图(异常场景不缓存)

部署方式

# patch 功能依赖 pnpm, 如果不使用 pnpm, 需要自己处理 patch-package https://www.npmjs.com/package/patch-package
npm i -g pnpm

# 克隆此项目
git clone https://github.com/ccbikai/cloudflare-worker-image.git
cd cloudflare-worker-image

# 安装依赖
pnpm install

# 修改白名单配置,改为图片域名或者留空不限制图片地址
vi wrangler.toml # WHITE_LIST

# 发布
npm run deploy

使用方式

修改域名和参数即可使用, 参考:https://image.miantiao.me/?url=https%3A%2F%2Fstatic.miantiao.me%2Fshare%2FMTyerw%2Fbanner-2048.jpeg&action=resize!830,400,2

参数说明

url:

原图地址,需要使用 encodeURIComponent 编码

action:

操作指令, 支持 Photon 各种操作指令,指令与参数直接使用!分割,参考 resize!830,400,2

支持管道操作,多个操作指令使用|分割,参考 resize!830,400,2|watermark!https%3A%2F%2Fstatic.miantiao.me%2Fshare%2F6qIq4w%2FFhSUzU.png,10,10

如果参数中有 URL 或其他特殊字符,需要使用 encodeURIComponent 编码 URL 和 特殊字符

format:

输出图片格式,支持:jpg,webp,png,可选,默认 webp

quality:

图片质量,1-100 只有 webp 和 jpg 格式支持,可选,默认 99

演示

缩放+旋转+文字水印

demo

由于 Github 会缓存图片,请前往我博客查看真实示例。

http://chi.miantiao.me/post/cloudflare-worker-image/

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