Dataset Viewer
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: CastError
Message: Couldn't cast
source: struct<baseUrl: string, assetUrl: string, fetchedAt: string, updatedDate: string>
child 0, baseUrl: string
child 1, assetUrl: string
child 2, fetchedAt: string
child 3, updatedDate: string
counts: struct<nodes: int64, links: int64>
child 0, nodes: int64
child 1, links: int64
meta: struct<source: struct<baseUrl: string, assetUrl: string, fetchedAt: string, updatedDate: string>, co (... 41 chars omitted)
child 0, source: struct<baseUrl: string, assetUrl: string, fetchedAt: string, updatedDate: string>
child 0, baseUrl: string
child 1, assetUrl: string
child 2, fetchedAt: string
child 3, updatedDate: string
child 1, counts: struct<nodes: int64, links: int64>
child 0, nodes: int64
child 1, links: int64
nodes: list<item: struct<id: string, name: string, handle: string, xUrl: string, group: string, role: strin (... 192 chars omitted)
child 0, item: struct<id: string, name: string, handle: string, xUrl: string, group: string, role: string, verified (... 180 chars omitted)
child 0, id: string
child 1, name: string
child 2, handle: string
child 3, xUrl: string
child 4, group: string
child 5, role: string
child 6, verified: string
child 7, followers: int64
child 8, following: int64
child 9, joinedDate: string
child 10, location: string
child 11, website: string
child 12, associated: string
child 13, bio: string
child 14, imageUrl: string
child 15, bioTags: list<item: string>
child 0, item: string
to
{'meta': {'source': {'baseUrl': Value('string'), 'assetUrl': Value('string'), 'fetchedAt': Value('string'), 'updatedDate': Value('string')}, 'counts': {'nodes': Value('int64'), 'links': Value('int64')}}, 'nodes': List({'id': Value('string'), 'name': Value('string'), 'handle': Value('string'), 'xUrl': Value('string'), 'group': Value('string'), 'role': Value('string'), 'verified': Value('string'), 'followers': Value('int64'), 'following': Value('int64'), 'joinedDate': Value('string'), 'location': Value('string'), 'website': Value('string'), 'associated': Value('string'), 'bio': Value('string'), 'imageUrl': Value('string'), 'bioTags': List(Value('string'))})}
because column names don't match
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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, 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 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
source: struct<baseUrl: string, assetUrl: string, fetchedAt: string, updatedDate: string>
child 0, baseUrl: string
child 1, assetUrl: string
child 2, fetchedAt: string
child 3, updatedDate: string
counts: struct<nodes: int64, links: int64>
child 0, nodes: int64
child 1, links: int64
meta: struct<source: struct<baseUrl: string, assetUrl: string, fetchedAt: string, updatedDate: string>, co (... 41 chars omitted)
child 0, source: struct<baseUrl: string, assetUrl: string, fetchedAt: string, updatedDate: string>
child 0, baseUrl: string
child 1, assetUrl: string
child 2, fetchedAt: string
child 3, updatedDate: string
child 1, counts: struct<nodes: int64, links: int64>
child 0, nodes: int64
child 1, links: int64
nodes: list<item: struct<id: string, name: string, handle: string, xUrl: string, group: string, role: strin (... 192 chars omitted)
child 0, item: struct<id: string, name: string, handle: string, xUrl: string, group: string, role: string, verified (... 180 chars omitted)
child 0, id: string
child 1, name: string
child 2, handle: string
child 3, xUrl: string
child 4, group: string
child 5, role: string
child 6, verified: string
child 7, followers: int64
child 8, following: int64
child 9, joinedDate: string
child 10, location: string
child 11, website: string
child 12, associated: string
child 13, bio: string
child 14, imageUrl: string
child 15, bioTags: list<item: string>
child 0, item: string
to
{'meta': {'source': {'baseUrl': Value('string'), 'assetUrl': Value('string'), 'fetchedAt': Value('string'), 'updatedDate': Value('string')}, 'counts': {'nodes': Value('int64'), 'links': Value('int64')}}, 'nodes': List({'id': Value('string'), 'name': Value('string'), 'handle': Value('string'), 'xUrl': Value('string'), 'group': Value('string'), 'role': Value('string'), 'verified': Value('string'), 'followers': Value('int64'), 'following': Value('int64'), 'joinedDate': Value('string'), 'location': Value('string'), 'website': Value('string'), 'associated': Value('string'), 'bio': Value('string'), 'imageUrl': Value('string'), 'bioTags': List(Value('string'))})}
because column names don't matchNeed 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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