Dataset Viewer
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: Schema at index 1 was different:
meta: struct<source: struct<baseUrl: string, assetUrl: string, fetchedAt: string, updatedDate: string>, counts: struct<nodes: int64, links: int64>>
nodes: list<item: struct<id: string, name: string, handle: string, xUrl: string, group: string, role: string, verified: string, followers: int64, following: int64, joinedDate: string, location: string, website: string, associated: string, bio: string, imageUrl: string, bioTags: list<item: string>>>
vs
source: struct<baseUrl: string, assetUrl: string, fetchedAt: string, updatedDate: string>
counts: struct<nodes: int64, links: int64>
Traceback: 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 572, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
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: Schema at index 1 was different:
meta: struct<source: struct<baseUrl: string, assetUrl: string, fetchedAt: string, updatedDate: string>, counts: struct<nodes: int64, links: int64>>
nodes: list<item: struct<id: string, name: string, handle: string, xUrl: string, group: string, role: string, verified: string, followers: int64, following: int64, joinedDate: string, location: string, website: string, associated: string, bio: string, imageUrl: string, bioTags: list<item: string>>>
vs
source: struct<baseUrl: string, assetUrl: string, fetchedAt: string, updatedDate: string>
counts: struct<nodes: int64, links: int64>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.
mitbunny AI Influencers 数据集
本项目由交易猫基金会支持（交易猫基金会 CA：0x8a99b8d53eff6bc331af529af74ad267f3167777）。
这是一个从 x.mitbunny.ai 提取并结构化整理的公开账号信息数据集，包含账号基础信息（名称、handle、关注数等）与抓取元数据（来源、抓取时间、上游页面标注的更新时间等）。
你会得到什么
data/ai_influencers.csv：面向表格/BI/脚本的扁平化 CSV。data/ai_influencers.json：包含meta+nodes的结构化 JSON（更适合程序处理）。data/meta.json：抓取元信息（来源、时间、节点/边数量等）。data/handles.txt：每行一个 handle（不带@）。data/handles_at.txt：每行一个 handle（带@）。
字段说明（CSV）
CSV 表头为：
id,name,handle,x_url,group,role,verified,followers,following,joined_date,location,website,associated,bio,image_url,bio_tags
followers/following：数值型；缺失时为空。bio_tags：CSV 中为 JSON 字符串（例如["Neural Networks"]）；在 JSON 资源里为数组。
更严格的字段约束见 schemas/ai_influencers.schema.json。
数据来源与合规提示
- 数据来源：
https://x.mitbunny.ai（脚本会解析其首页引用的 Vite 打包产物并提取图数据）。 - 本仓库仅做数据整理与可复现导出；账号信息可能随时间变化，且可能包含个人公开资料。请在使用时自行评估合规与平台条款要求。
如何刷新数据
前置：Node.js 18+（内置 fetch）。
npm run extract
输出会写入 data/，并在终端打印抓取摘要与 Top10 follower 预览。
如果当前网络无法访问 x.mitbunny.ai，可以用已有 JSON 重新生成派生文件并做一致性校验：
npm run rebuild
npm run validate
许可
当前仓库未声明开放许可，默认按 LICENSE 约束使用范围；如需开源，请先确认数据来源与权利边界，再替换为合适的开源许可。
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