Question for Release of WikiTQ-ST and TempTabQA-ST Subsets

未关闭
#2 2 条评论 1 个 reaction 已指派 0 人 在 GitHub 查看

还没有人认领这个 Issue。

评估

难度
4/5
预计耗时
3-5 天
新手友好度
25/100
Issue 类型
功能
描述清晰度
基本清楚
活跃度
停滞
技术栈
python
领域
data

调研方向

No files, tests, or entry points are named. Start by locating the WikiTQ-ST and TempTabQA-ST references in the repository and paper materials, then determine whether the filtered datasets or filtering scripts are present; done means the subsets or reproducible filtering criteria are available.

由索引模型根据 Issue 内容生成。

描述

Hello authors,

Thank you for sharing the ST-Raptor code and the SSTQA dataset. The benchmark and framework are very inspiring!

I noticed that in the paper you also evaluated on two filtered subsets, WikiTQ-ST and TempTabQA-ST, which were constructed by selecting semi-structured tables from the original WikiTQ and TempTabQA datasets. However, I could not find these subsets or the filtering scripts in the current repository.

Could you please clarify:

Do you plan to release the filtered versions (WikiTQ-ST and TempTabQA-ST) so that others can directly reproduce the results?

If not, would you be able to provide the filtering criteria or scripts used to create them?

This would be very helpful for reproducing your experiments and ensuring fair comparison.

Thanks again for your excellent work!

主要语言
Python
星标
312
派生
31
PR 合并指标
30 天内没有已合并 PR

贡献指南

这个仓库没有索引到贡献指南

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

OpenDataBox/ST-Raptor 的其他 Issue

查看 OpenDataBox/ST-Raptor 的全部 Issue

相似的 Issue

更多 Python Issue

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。