Datasets:

banned-historical-archives
/

wenhuibao_disk

Dataset card Files Files and versions Community

Dataset Viewer

Split (1)

train

The dataset viewer is not available for this split.

The info cannot be fetched for the config 'default' of the dataset.

Error code:   InfoError
Exception:    ReadTimeout
Message:      (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 1fd5f017-1be7-40cf-99ed-57d624e625de)')
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 213, in compute_first_rows_from_streaming_response
                  info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 277, in get_dataset_config_info
                  builder = load_dataset_builder(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1853, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1729, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1686, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1065, in get_module
                  data_files = DataFilesDict.from_patterns(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 721, in from_patterns
                  else DataFilesList.from_patterns(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 634, in from_patterns
                  origin_metadata = _get_origin_metadata(data_files, download_config=download_config)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 548, in _get_origin_metadata
                  return thread_map(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/contrib/concurrent.py", line 69, in thread_map
                  return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/contrib/concurrent.py", line 51, in _executor_map
                  return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 1169, in __iter__
                  for obj in iterable:
                File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 609, in result_iterator
                  yield fs.pop().result()
                File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 439, in result
                  return self.__get_result()
                File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
                  raise self._exception
                File "/usr/local/lib/python3.9/concurrent/futures/thread.py", line 58, in run
                  result = self.fn(*self.args, **self.kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 527, in _get_single_origin_metadata
                  resolved_path = fs.resolve_path(data_file)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 175, in resolve_path
                  repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 121, in _repo_and_revision_exist
                  self._api.repo_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2682, in repo_info
                  return method(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2539, in dataset_info
                  r = get_session().get(path, headers=headers, timeout=timeout, params=params)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 602, in get
                  return self.request("GET", url, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 589, in request
                  resp = self.send(prep, **send_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 703, in send
                  r = adapter.send(request, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 93, in send
                  return super().send(request, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/adapters.py", line 635, in send
                  raise ReadTimeout(e, request=request)
              requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 1fd5f017-1be7-40cf-99ed-57d624e625de)')

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.

YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

文汇报光盘1938-1999

光盘收录了1938年-1999年所有文稿共计1231692篇。13张光盘中包括扫描的图像和文本数据, setup.iso为安装程序（内含文本数据库），1-12文件夹为原来1-12号光碟。html.7z为爬虫爬取的文稿html页面的压缩包。

光盘使用说明

安装程序需要在windows98 简体中文版中打开进入系统后，插入setup.iso，安装时根据提示插入1-5号光盘；其他光盘在读取插图时使用。 (建议使用VirtualBox虚拟机)

启动爬虫

安装ie6
在安装目录的html/cgi-bin/oneart.htm的""后插入


<SCRIPT language=JavaScript>
var a =function() {
    if (document.readyState !="complete") return;
    var x = new ActiveXObject("Microsoft.XMLHTTP");
    var content = document.documentElement.outerHTML;
    x.open("post","http://192.168.1.205:3000/upload", true); // 换成server的ip地址
    x.onreadystatechange=function() {
        if(x.readyState==4&&x.status==200){
            if (x.responseText.indexOf("goto:")==0) {
                location.replace(x.responseText.substring(5))
            }
        }
    };
    x.setRequestHeader("Content-Type", "application/x-www-form-urlencoded");
    x.send("document="+encodeURIComponent(content) +"&location="+encodeURIComponent(location.href));
};
document.onreadystatechange = a;
setInterval(a, 5000); // 确保使用快照恢复虚拟机后自动运行
</SCRIPT>

服务端使用nodejs 运行本目录的whb.js
虚拟机中打开任意一篇文章，此时应该可以发现页面正在自动跳转。缩小窗口提高爬虫效率。
为虚拟机创建快照（因为程序有bug，运行一段时间会崩溃，需要定时恢复快照）
设置定时任务使虚拟机自动恢复和启动, 在任意位置创建restart_vm.sh


VM_NAME1="98 Clone"
VM_NAME2="98 Clone2"
VM_NAME3="98 Clone3"
VM_NAME4="98 Clone4"

SNAPSHOT_UUID1="ad86b38f-f761-4f7d-b020-b2ace1871e33"
SNAPSHOT_UUID2="c8657e84-6134-4d26-a2da-dc83d4e0ab5b"
SNAPSHOT_UUID3="8cc82fbb-4611-4f09-a24d-988ccc00903d"
SNAPSHOT_UUID4="2afcec64-7397-4515-abea-79ba1e5626b8"

VBoxManage controlvm "$VM_NAME1" poweroff
#VBoxManage controlvm "$VM_NAME2" poweroff
#VBoxManage controlvm "$VM_NAME3" poweroff
#VBoxManage controlvm "$VM_NAME4" poweroff
sleep 5
VBoxManage snapshot "$VM_NAME1" restore "$SNAPSHOT_UUID1"
#VBoxManage snapshot "$VM_NAME2" restore "$SNAPSHOT_UUID2"
#VBoxManage snapshot "$VM_NAME3" restore "$SNAPSHOT_UUID3"
#VBoxManage snapshot "$VM_NAME4" restore "$SNAPSHOT_UUID4"
VBoxManage startvm "$VM_NAME1" --type headless &
sleep 3
#VBoxManage startvm "$VM_NAME2" --type headless &
#sleep 3
#VBoxManage startvm "$VM_NAME3" --type headless &
#sleep 3
#VBoxManage startvm "$VM_NAME4" --type headless &

设置定时任务 crontab -e

*/15 * * * * /home/restart_vm.sh

根据实际情况，可启动多个虚拟机为爬虫加速（需要修改whb.js的next函数）

补充材料

https://huggingface.co/datasets/banned-historical-archives/wenhuibao

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