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Datasets:
HYUKI5
/
ZhaoweiWang__AbsPyramid

Tags:
laya
laya-finetune
mirror
domain-commonsense
use-conditional
genre-other
License:
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The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
vote: double
id: string
event: string
concept: string
label: int64
type: string
to
{'vote': Value('float64'), 'id': Value('string'), 'event': Value('string'), 'concept': Value('string'), 'label': 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 1835, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              vote: double
              id: string
              event: string
              concept: string
              label: int64
              type: string
              to
              {'vote': Value('float64'), 'id': Value('string'), 'event': Value('string'), 'concept': Value('string'), 'label': 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 1379, 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 956, 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 1702, 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 1887, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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vote
float64
id
string
event
string
concept
string
label
int64
1
nyt_s-v_128_1
<the markets plunged>
market crash
1
0.2
nyt_s-v_128_2
<the markets plunged>
economic downturn
0
0.8
nyt_s-v_128_3
<the markets plunged>
market decline
1
0.8
nyt_s-v_128_5
<the markets plunged>
stock market crash
1
0.8
nyt_s-v_128_6
<the markets plunged>
market collapse
1
1
nyt_s-v_128_7
<the markets plunged>
financial crisis
1
0.8
nyt_s-v_128_8
<the markets plunged>
market downfall
1
0.8
wikipedia_s-v_274_1
<the couple separated>
marital separation
1
1
wikipedia_s-v_274_2
<the couple separated>
divorce
1
0.8
wikipedia_s-v_274_3
<the couple separated>
relationship breakdown
1
1
wikipedia_s-v_274_4
<the couple separated>
marital split
1
0.8
wikipedia_s-v_274_5
<the couple separated>
romantic separation
1
0
wikipedia_s-v_274_6
<the couple separated>
romantic split
0
0.2
wikipedia_s-v_274_7
<the couple separated>
separation of partners
0
0.8
wikipedia_s-v_274_8
<the couple separated>
relationship separation
1
1
wikipedia_s-v_94_5
<PersonX survived with injury>
harm survival
1
1
wikipedia_s-v_29_1
<PeopleX concluded>
final decision
1
1
wikipedia_s-v_29_2
<PeopleX concluded>
ultimate conclusion
1
0.8
wikipedia_s-v_29_3
<PeopleX concluded>
eventual decision
1
0.8
wikipedia_s-v_29_4
<PeopleX concluded>
conclusive decision
1
1
wikipedia_s-v_29_5
<PeopleX concluded>
final conclusion
1
0.8
wikipedia_s-v_29_6
<PeopleX concluded>
ultimate decision
1
1
wikipedia_s-v_29_7
<PeopleX concluded>
eventual conclusion
1
0.8
wikipedia_s-v_29_8
<PeopleX concluded>
conclusive conclusion
1
1
wikipedia_s-v_441_1
<the international population of camps increased>
population growth
1
0.8
wikipedia_s-v_441_10
<the international population of camps increased>
influx of displaced people
1
0.8
wikipedia_s-v_441_2
<the international population of camps increased>
influx of people
1
0.8
wikipedia_s-v_441_8
<the international population of camps increased>
surge in refugee camps
1
0.8
wikipedia_s-v_441_9
<the international population of camps increased>
increase in refugee population
1
1
wikipedia_s-v_32_1
<PeopleX participated in tour>
tour participation
1
1
wikipedia_s-v_32_2
<PeopleX participated in tour>
taking part in a tour
1
1
wikipedia_s-v_32_3
<PeopleX participated in tour>
joining a tour
1
1
wikipedia_s-v_32_4
<PeopleX participated in tour>
tour involvement
1
1
wikipedia_s-v_32_5
<PeopleX participated in tour>
tour attendance
1
0.8
nyt_s-v_432_1
<reagan administration officials strongly suspect>
strong suspicion
1
0.8
nyt_s-v_432_2
<reagan administration officials strongly suspect>
high-level suspicion
1
1
nyt_s-v_432_3
<reagan administration officials strongly suspect>
strong belief
1
0.8
nyt_s-v_432_4
<reagan administration officials strongly suspect>
strong doubt
1
0.2
nyt_s-v_432_6
<reagan administration officials strongly suspect>
deep suspicion
0
0.8
nyt_s-v_432_7
<reagan administration officials strongly suspect>
serious suspicion
1
0.8
nyt_s-v_396_1
<PeopleX forfeited>
surrender
1
1
nyt_s-v_396_2
<PeopleX forfeited>
giving up
1
0.8
nyt_s-v_396_3
<PeopleX forfeited>
relinquishment
1
1
nyt_s-v_396_4
<PeopleX forfeited>
abandonment
1
0
nyt_s-v_396_5
<PeopleX forfeited>
renunciation
0
1
nyt_s-v_396_6
<PeopleX forfeited>
termination
1
0
nyt_s-v_396_7
<PeopleX forfeited>
withdrawal
0
0.2
nyt_s-v_396_8
<PeopleX forfeited>
waiver
0
0.2
nyt_s-v_396_9
<PeopleX forfeited>
ceding
0
0.8
nyt_s-v_473_1
<PersonX clams up>
sudden silence
1
0.2
nyt_s-v_473_10
<PersonX clams up>
taciturnity
0
0
nyt_s-v_473_2
<PersonX clams up>
reticence
0
0.2
nyt_s-v_473_3
<PersonX clams up>
silence
0
0.8
nyt_s-v_473_4
<PersonX clams up>
quietness
1
0.8
nyt_s-v_473_5
<PersonX clams up>
shutting down
1
0.8
nyt_s-v_473_6
<PersonX clams up>
clamming up
1
0.8
nyt_s-v_473_7
<PersonX clams up>
speechlessness
1
0.8
nyt_s-v_473_8
<PersonX clams up>
unresponsiveness
1
0.8
nyt_s-v_473_9
<PersonX clams up>
muteness
1
0
wikipedia_s-v_356_1
<foster closed>
I'm sorry, but I need more context to accurately summarize the event "foster closed." Could you please provide additional information
0
0
wikipedia_s-v_169_1
<the chapter laments>
expression of grief
0
1
wikipedia_s-v_169_2
<the chapter laments>
mourning
1
0
wikipedia_s-v_424_1
<the fire burned>
fire outbreak
0
0.2
wikipedia_s-v_424_2
<the fire burned>
fire ignition
0
0.2
wikipedia_s-v_424_3
<the fire burned>
fire blaze
0
0.2
wikipedia_s-v_424_4
<the fire burned>
fire conflagration
0
0.2
wikipedia_s-v_424_5
<the fire burned>
fire combustion
0
0
wikipedia_s-v_424_6
<the fire burned>
fire inferno
0
1
wikipedia_s-v_183_1
<PersonX might mention>
potential reference
1
0.8
wikipedia_s-v_183_2
<PersonX might mention>
possible mention
1
1
wikipedia_s-v_183_3
<PersonX might mention>
potential allusion
1
0.2
wikipedia_s-v_183_4
<PersonX might mention>
possible allusion
0
1
wikipedia_s-v_183_5
<PersonX might mention>
potential citation
1
0.8
wikipedia_s-v_183_6
<PersonX might mention>
possible citation
1
0.8
wikipedia_s-v_183_7
<PersonX might mention>
potential acknowledgement
1
1
wikipedia_s-v_183_8
<PersonX might mention>
possible acknowledgement
1
1
wikipedia_s-v_206_3
<the old one dies>
demise of the old
1
1
wikipedia_s-v_206_4
<the old one dies>
death of the old
1
1
wikipedia_s-v_206_5
<the old one dies>
passing of the old
1
1
wikipedia_s-v_206_6
<the old one dies>
old age death
1
1
wikipedia_s-v_206_7
<the old one dies>
elderly passing
1
0.8
wikipedia_s-v_206_8
<the old one dies>
passing away of the old
1
0.8
wikipedia_s-v_216_2
<PersonX charged>
legal charges
1
0.8
wikipedia_s-v_216_3
<PersonX charged>
accusations
1
0.2
nyt_s-v_301_1
<PersonX cleaned>
cleaning
0
0.2
nyt_s-v_301_2
<PersonX cleaned>
tidying up
0
0
nyt_s-v_301_3
<PersonX cleaned>
house cleaning
0
1
nyt_s-v_301_4
<PersonX cleaned>
cleaning up
1
0.2
nyt_s-v_301_5
<PersonX cleaned>
spot cleaning
0
0.8
nyt_s-v_301_6
<PersonX cleaned>
housekeeping
1
0.2
nyt_s-v_301_7
<PersonX cleaned>
scrubbing
0
1
nyt_s-v_301_8
<PersonX cleaned>
dusting
1
0.8
nyt_s-v_301_9
<PersonX cleaned>
sweeping
1
0.2
wiki_s-v_event-sp-69_neg-chat-1
<algeria qualified for cup>
coach
0
0.2
wiki_s-v_event-sp-69_neg-chat-2
<algeria qualified for cup>
team
0
0
wiki_s-v_event-sp-69_neg-chat-3
<algeria qualified for cup>
fans
0
0.2
wiki_s-v_event-sp-69_neg-chat-4
<algeria qualified for cup>
flag
0
0.2
wiki_s-v_event-sp-69_neg-chat-5
<algeria qualified for cup>
national anthem
0
0
wiki_s-v_event-sp-69_neg-chat-6
<algeria qualified for cup>
jersey
0
0.2
wiki_s-v_event-sp-69_neg-chat-7
<algeria qualified for cup>
stadium
0
End of preview.

ZhaoweiWang/AbsPyramid（複製）

データの内容

短い句で書かれた事象に 0 か 1 のラベルを付けたデータで、調査メモでは段落の論述ではないと注記されている。ラベルの付け方の詳細は未確認である。元のカードは空で、この説明は列名と調査メモから書いた。

データの概要

項目 値
行数・列数 不明（データセットビューアで読めない形式。ファイルの内訳だけを示す）
容量 89.55 MB（ファイル 30 本）
ファイルの形式 json 24
公開 public

全データセットの一覧は HYUKI5/dataset-catalog にある。

複製について

ZhaoweiWang/AbsPyramid をリビジョン 8d48c2849c34e558cd6ea3b86bffa5a4c1eeaa3d の時点でそのまま複製したもの。中身は変えていない。判断モデル Laya（convaiinnovations/laya）の微調整に使う候補として、調査メモ（Laya 学習用データセット調査）に載せたデータを集めている。

出典

論文

  • 元のカードに論文へのリンクは見つからなかった

アノテーションの方法

元のカードにアノテーションの節が無かった。下の「調査メモの記述」と「元のカード」を参照。

微調整に使うときの注意

  • 調査メモの台帳での区分: B（継承条件・gated・モデル由来の条件・上流の規約などが付く）。区分は記載の文言で機械的に付けたもので、法的な判定ではない。学習に入れる前に元のカードとライセンスの原文で確かめる。
  • Laya の入力は 2,048 token まで（ModernBERT-large / mmBERT）。長い本文は先頭から黙って切られるので、切れる行は事前に除くか、要約・切り出しをしてから入れる。
  • 分割は記事・文書単位で行い、同じ本文から作った別の問いを学習側と較正側に分けない。温度と閾値は学習に使っていない分割で別々に当てる。

調査メモの記述

メモ 節 ライセンス（記載） 確認 注記
reasoning_process_labels.md Q5. 抽象化の段階・原理への一般化・類推をラベルにしたデータは何があるか (L134) mit 確認済 生成元モデルの出力規約が別に及ぶ(Q4) ／ 原文注記: 事象は短い句で、段落の論述ではない。ラベル（0/1）の付け方の詳細（人手の割合）は未取得。論文 ID が未確認

元のカード

（元のカードは空だった）
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Total file size:
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