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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
paper_name: string
paper_url: string
paper_authors: list<item: string>
child 0, item: string
paper_abstract: string
paper_code: string
conf: string
schema: string
chars: int64
source: string
status: string
attempts: int64
generated_at: timestamp[s]
status_breakdown: struct<success: int64, failed: int64>
child 0, success: int64
child 1, failed: int64
url: string
record_count: int64
ts: timestamp[s]
version: int64
_meta: bool
to
{'_meta': Value('bool'), 'schema': Value('string'), 'version': Value('int64'), 'generated_at': Value('timestamp[s]'), 'source': Value('string'), 'record_count': Value('int64'), 'status_breakdown': {'success': Value('int64'), 'failed': Value('int64')}, 'url': Value('string'), 'status': Value('string'), 'chars': Value('int64'), 'ts': Value('timestamp[s]'), 'attempts': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
paper_name: string
paper_url: string
paper_authors: list<item: string>
child 0, item: string
paper_abstract: string
paper_code: string
conf: string
schema: string
chars: int64
source: string
status: string
attempts: int64
generated_at: timestamp[s]
status_breakdown: struct<success: int64, failed: int64>
child 0, success: int64
child 1, failed: int64
url: string
record_count: int64
ts: timestamp[s]
version: int64
_meta: bool
to
{'_meta': Value('bool'), 'schema': Value('string'), 'version': Value('int64'), 'generated_at': Value('timestamp[s]'), 'source': Value('string'), 'record_count': Value('int64'), 'status_breakdown': {'success': Value('int64'), 'failed': Value('int64')}, 'url': Value('string'), 'status': Value('string'), 'chars': Value('int64'), 'ts': Value('timestamp[s]'), 'attempts': Value('int64')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
_meta bool | schema string | version int64 | generated_at timestamp[s] | source string | record_count int64 | status_breakdown dict | url string | status string | chars int64 | ts timestamp[s] | attempts int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|
true | abstract_backfill_progress/v3 | 3 | 2026-06-24T21:17:17 | cache/abstract_backfill_progress.json | 86,989 | {
"success": 53008,
"failed": 33981
} | null | null | null | null | null |
null | null | null | null | openalex | null | null | https://doi.org/10.1145/3539597 | success | 1,764 | 2026-05-24T11:27:37 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3572331 | success | 1,197 | 2026-05-24T11:27:39 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3572332 | success | 2,364 | 2026-05-24T11:27:42 | null |
null | null | null | null | null | null | null | https://doi.org/10.1145/3539597.3572333 | failed | null | 2026-05-24T11:29:20 | 1 |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570442 | success | 1,436 | 2026-05-24T11:29:21 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570473 | success | 1,457 | 2026-05-24T11:29:23 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570474 | success | 1,735 | 2026-05-24T11:29:26 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570487 | success | 1,225 | 2026-05-24T11:29:28 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570430 | success | 1,527 | 2026-05-24T11:29:30 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570478 | success | 1,254 | 2026-05-24T11:29:34 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570451 | success | 1,240 | 2026-05-24T11:29:36 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570400 | success | 1,931 | 2026-05-24T11:29:39 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570366 | success | 1,514 | 2026-05-24T11:29:41 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570417 | success | 1,593 | 2026-05-24T11:29:45 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570419 | success | 1,317 | 2026-05-24T11:29:48 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570424 | success | 1,601 | 2026-05-24T11:29:52 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570467 | success | 1,083 | 2026-05-24T11:29:56 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570480 | success | 1,729 | 2026-05-24T11:29:59 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570457 | success | 1,306 | 2026-05-24T11:30:01 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570376 | success | 1,360 | 2026-05-24T11:30:04 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570449 | success | 1,492 | 2026-05-24T11:30:07 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570455 | success | 1,827 | 2026-05-24T11:30:09 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570445 | success | 1,649 | 2026-05-24T11:30:11 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570401 | success | 1,273 | 2026-05-24T11:30:14 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570486 | success | 1,108 | 2026-05-24T11:30:16 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570386 | success | 1,779 | 2026-05-24T11:30:19 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570374 | success | 1,738 | 2026-05-24T11:30:22 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570434 | success | 1,074 | 2026-05-24T11:30:25 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570443 | success | 1,437 | 2026-05-24T11:30:27 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570426 | success | 1,424 | 2026-05-24T11:30:31 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570461 | success | 1,649 | 2026-05-24T11:30:34 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570464 | success | 1,591 | 2026-05-24T11:30:36 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570392 | success | 1,485 | 2026-05-24T11:30:39 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570371 | success | 1,365 | 2026-05-24T11:30:43 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570435 | success | 1,558 | 2026-05-24T11:30:46 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570439 | success | 1,435 | 2026-05-24T11:30:48 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570396 | success | 1,797 | 2026-05-24T11:30:51 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570367 | success | 1,552 | 2026-05-24T11:30:53 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570438 | success | 1,019 | 2026-05-24T11:30:57 | null |
null | null | null | null | openalex | null | null | https://doi.org/10.1145/3539597.3570453 | success | 1,503 | 2026-05-24T11:31:55 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570466 | success | 1,136 | 2026-05-24T11:31:59 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570446 | success | 1,617 | 2026-05-24T11:32:02 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570388 | success | 1,455 | 2026-05-24T11:32:06 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570377 | success | 1,998 | 2026-05-24T11:32:09 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570379 | success | 1,811 | 2026-05-24T11:32:14 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570410 | success | 1,681 | 2026-05-24T11:32:17 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570420 | success | 1,779 | 2026-05-24T11:32:20 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570463 | success | 2,083 | 2026-05-24T11:32:25 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570391 | success | 1,517 | 2026-05-24T11:32:27 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570411 | success | 1,512 | 2026-05-24T11:32:31 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570364 | success | 1,285 | 2026-05-24T11:32:34 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570475 | success | 1,427 | 2026-05-24T11:32:37 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570398 | success | 1,373 | 2026-05-24T11:32:40 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570428 | success | 1,367 | 2026-05-24T11:32:43 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570481 | success | 1,262 | 2026-05-24T11:32:46 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570431 | success | 911 | 2026-05-24T11:32:50 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570373 | success | 1,849 | 2026-05-24T11:32:53 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570389 | success | 1,371 | 2026-05-24T11:32:56 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570380 | success | 1,415 | 2026-05-24T11:32:59 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570408 | success | 1,367 | 2026-05-24T11:33:02 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570414 | success | 1,418 | 2026-05-24T11:33:04 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570482 | success | 1,435 | 2026-05-24T11:33:07 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570483 | success | 1,693 | 2026-05-24T11:33:09 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570484 | success | 1,456 | 2026-05-24T11:33:11 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570432 | success | 1,401 | 2026-05-24T11:33:15 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570447 | success | 1,227 | 2026-05-24T11:33:18 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570402 | success | 1,023 | 2026-05-24T11:33:21 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570412 | success | 1,681 | 2026-05-24T11:33:23 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570422 | success | 1,632 | 2026-05-24T11:33:26 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570456 | success | 1,002 | 2026-05-24T11:33:29 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570369 | success | 1,613 | 2026-05-24T11:33:42 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570378 | success | 1,585 | 2026-05-24T11:33:44 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570407 | success | 1,648 | 2026-05-24T11:33:47 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570421 | success | 1,642 | 2026-05-24T11:33:50 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570429 | success | 1,895 | 2026-05-24T11:33:52 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570436 | success | 1,591 | 2026-05-24T11:33:56 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570472 | success | 1,350 | 2026-05-24T11:33:58 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570385 | success | 1,494 | 2026-05-24T11:34:01 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570409 | success | 1,596 | 2026-05-24T11:34:03 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570387 | success | 1,483 | 2026-05-24T11:34:06 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570403 | success | 2,252 | 2026-05-24T11:34:10 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570450 | success | 1,614 | 2026-05-24T11:34:13 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570384 | success | 1,636 | 2026-05-24T11:34:15 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570390 | success | 1,369 | 2026-05-24T11:34:18 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570433 | success | 1,240 | 2026-05-24T11:34:21 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570441 | success | 1,294 | 2026-05-24T11:34:25 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570448 | success | 1,527 | 2026-05-24T11:34:28 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570416 | success | 944 | 2026-05-24T11:34:30 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570406 | success | 1,411 | 2026-05-24T11:34:34 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570465 | success | 1,268 | 2026-05-24T11:34:36 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570404 | success | 1,715 | 2026-05-24T11:34:39 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570370 | success | 1,510 | 2026-05-24T11:34:43 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570372 | success | 1,502 | 2026-05-24T11:34:45 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570394 | success | 1,485 | 2026-05-24T11:34:48 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570413 | success | 1,693 | 2026-05-24T11:34:53 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570418 | success | 934 | 2026-05-24T11:34:55 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570425 | success | 967 | 2026-05-24T11:34:57 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570427 | success | 1,452 | 2026-05-24T11:35:00 | null |
null | null | null | null | semanticscholar | null | null | https://doi.org/10.1145/3539597.3570440 | success | 1,293 | 2026-05-24T11:35:03 | null |
End of preview.
PaperVault Dataset · 论文元数据库
🔎 项目简介 · Overview
PaperVault 是一份持续自动更新的统一论文元数据库，覆盖自然语言处理、计算机视觉、机器学习、数据挖掘、数据库、语音、系统、网络、安全、理论计算机科学、人机交互、计算机图形学与多媒体等方向的顶级会议与期刊。PaperVault is a continuously-updated, unified metadata database of papers from top-tier conferences and journals across NLP, Computer Vision, Machine Learning, Data Mining, Databases, Speech, Systems, Networking, Security, Theory, HCI, Graphics, and Multimedia.
🌐 源仓库 / Source: github.com/youngfish42/PaperVault — Web UI、REST API、采集流水线、Issues / PRs 全部在那里 · Web UI, REST API, crawling pipelines and issues/PRs all live there.
🆕 最近更新 · Recent Update
- 📅 最近更新 · Last updated: 2026-06-25 (Asia/Shanghai)
- 📊 数据库规模 · Database size: 666,444 篇论文 / 120 个刊物系列 / 182,213 篇含摘要 / 30,049 篇含开源代码（666,444 papers / 120 venue series / 182,213 with abstract / 30,049 with code）
📈 数据看板 · Statistics at a Glance
下列 4 张统计图与 cache.jsonl.gz 同源同步，反映本数据集的最新状态。The four charts below are generated from the same cache.jsonl.gz and always reflect the latest state of this dataset.
📦 数据集内容 · What's in this dataset
| 路径 Path | 格式 Format | 说明 Description |
|---|---|---|
cache/cache.jsonl.gz |
gzip-compressed JSON Lines (UTF-8) | 每行一篇论文 · One paper per line; one JSON object per line |
Hugging Face 会自动为 cache.jsonl.gz 生成 Parquet 视图，也可直接用 datasets.load_dataset(...) 读取，无需手动解压。Hugging Face also exposes an auto-generated Parquet view, so datasets.load_dataset(...) works out of the box.
📐 字段 Schema
| Field 字段 | Type 类型 | Notes 说明 |
|---|---|---|
paper_name |
string | 论文标题（已归一化）· Normalised paper title |
paper_authors |
list[string] | 作者列表，按原始顺序 · Author names in order |
paper_url |
string | 论文在原始平台的链接（PDF 或落地页）· Canonical URL on the venue's site (PDF or landing page) |
paper_abstract |
string | 摘要；未回填时为空字符串 · Abstract; may be empty when not yet backfilled |
paper_code |
string | 从摘要中抽取出的 GitHub 仓库 URL；"#" 是「未发现代码链接」的占位符 · GitHub repository URL extracted from the abstract; "#" is the sentinel for "no code link discovered" |
conf |
string | 会议+年份标识，如 ACL2024、NIPS2023、CVPR2025；去掉末尾四位数字即可得到会议系列。注意 NeurIPS Proceedings 沿用历史命名 NIPS{year}。Venue + year identifier (e.g. ACL2024, NIPS2023, CVPR2025). Strip the trailing 4-digit year to recover the venue series. Note that NeurIPS Proceedings entries use the historical name NIPS{year}. |
缺失字段请按空字符串处理。Treat missing fields as empty strings.
⬇️ 获取方式 · How to download
下面三种方式任选其一即可，无需克隆 GitHub 仓库。Pick any one of the three options below — no GitHub clone is required.
方式 A · Option A — huggingface_hub（推荐 / recommended）
from huggingface_hub import hf_hub_download
import gzip, json
path = hf_hub_download(
repo_id="youngfish42/PaperVault",
filename="cache/cache.jsonl.gz",
repo_type="dataset",
)
with gzip.open(path, "rt", encoding="utf-8") as f:
for line in f:
record = json.loads(line)
# 在这里处理一条记录 · do something with the record
方式 B · Option B — datasets
from datasets import load_dataset
ds = load_dataset("youngfish42/PaperVault")
print(ds[next(iter(ds))][0])
数据集只有一个默认 split（非 ML 训练集），不要传
split="train"。Single default split — do not passsplit="train".
方式 C · Option C — huggingface-cli / 直接 HTTPS · Plain HTTPS
huggingface-cli download youngfish42/PaperVault \
cache/cache.jsonl.gz --repo-type dataset --local-dir ./data
💡 文件压缩后约 120 MB（会随数据持续增长），解压后是 GB 级 JSONL 流，请按行流式读取，不要整体载入内存。The file is ~120 MB compressed (and growing) and decompresses to a multi-GB JSONL stream. Stream it line-by-line rather than loading the whole thing into memory.
🔁 更新节奏 · Update cadence
数据集由三个 GitHub Actions 工作流负责重建并推送到本 Hub 仓库 / The dataset is rebuilt and pushed to this Hub repo by three GitHub Actions workflows：
| 工作流 Workflow | 触发节奏 Schedule | 推送的内容 What it pushes |
|---|---|---|
collect_papers |
每月 15 号 16:00 UTC + 手动触发 · 15th of every month at 16:00 UTC + workflow_dispatch |
增量抓取新发现的会议/年份组合 · Incremental crawl of newly-discovered conference/year combinations |
backfill_abstracts |
每月 1 号 00:00 UTC + 手动触发 · 1st of every month at 00:00 UTC + workflow_dispatch |
为已有论文回填 paper_abstract · Adds paper_abstract for papers that were collected without one |
update_readme |
仅手动触发 (workflow_dispatch) · Manual only (workflow_dispatch) |
默认仅刷新 README 与统计；当输入参数 mode=force 时执行全量重建 · Refreshes the README and statistics by default; performs a full rebuild only when invoked with mode=force |
每次推送都使用 Hugging Face 的 parent_commit 乐观锁机制，避免并发覆盖。Each push uses Hugging Face's parent_commit optimistic-lock mechanism to avoid silently overwriting concurrent updates.
🔗 关联仓库 · Related repository
如果你需要完整的搜索 Web UI（智能搜索 + Web of Science 风格的高级查询 DSL）、REST API（/api/v1/*）、抓取 / 合并 / 摘要回填流水线源码、收录会议范围、统计仪表盘、项目截图或贡献指南，请前往 GitHub 项目仓库。If you are looking for the full search Web UI (smart search + Web-of-Science-style advanced query DSL), the REST API (/api/v1/*), the crawling / merging / abstract-backfill pipelines source code, conference coverage, statistics dashboards, screenshots or contribution guidelines, please visit the GitHub repository.
👉 github.com/youngfish42/PaperVault
📜 许可证 · License
代码以 GPL-3.0 发布；每条论文记录的著作权仍属于原作者 / 出版方，本数据集仅重新分发公开可获取的元数据与链接。Code is released under GPL-3.0; individual paper records remain the IP of their authors/publishers — this dataset only redistributes publicly available bibliographic metadata and links.
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