SlowGuess/NeurIPS_2023_OCR huggingface dataset:
Figure 44: Intermediate variable assignments and ranks for example Pe_aPt query. Correctness indicates whether the answer belongs to the ground-truth set of answers.
$e_1$  ：
$\tau_{1}$  : Citizen (India)
$r_1$  : Make statement-1
$e_2$  : Stephane Le Foll
$r_2$  : Consult
$e_3$  : Representatives (France)
Query Sentence Who made a statement for citizens (India) before Representatives (France) consulted Stephane Le Foll?
Temporal Query  $q[V_{?}]\equiv V_{?},\exists T_{a},T_{b},r_{1}(e_{1},V_{?},T_{b})\wedge$  After  $(T_a,T_b)$
Rank	Query Answers	Correctness	Answer Type
1	Court Judge (India)	✔	Easy
2	Governor (India)	✔	Easy
3	Manohar Lal Khattar	✔	Easy
4	Vasundhara Raje	✗	Easy
5	Head of Government (India)	✗	-
Pe_bPte(e1,r1,befoe(Pte(e2,r2,e3)))
Figure 45: Intermediate variable assignments and ranks for example Pe_bPt query. Correctness indicates whether the answer belongs to the ground-truth set of answers.
$e_1$  ：
South Korea
$r_1$  : Criticize or denounce
$e_2$  : Sadako Ogata
$r_2$  : Express intent to meet or negotiate
$e_3$  : Head of Government(Bangladesh)
Query Sentence Who expressed intent to meet or negotiate with the Head of Gov- ernment (Bangladesh) after South Korea Criticized or denounced Sadako Ogata?
Temporal Query  $q[V_{?}]$ $V_{?},\exists T_{a},T_{b},r_{1}(e_{1},V_{?},T_{b})\wedge$  Before  $(T_{a},T_{b})\wedge$ $r_2(e_2,e_3,T_a)$
Rank	Query Answers	Correctness	Answer Type
1	Japan	✔	Easy
2	North Korea	✔	Easy
3	China	✔	Easy
4	South Korea	×	-
5	Kim Jong-Un	×	-
Figure 46: Intermediate variable assignments and ranks for example Pe_at2i query. Correctness indicates whether the answer belongs to the ground-truth set of answers.
e1: North Korea
$r_1$  : Criticize or denounce
$e_2$  ; Admiral (Russia)
$r_2$  : Make statement
e3: Chuck Hagel
$e_4$  : Ministry (Madagascar)  
 $\alpha_{\mathrm{max}}$  : Mole statement
$r_{3}$  : Make statement  $e_{5}$  : Government (Madagascar
$\mathbb{C}_{\mathrm{B}}$  ：2019Ammunum（m）
Query Sentence Who was criticized or denounced by North Korea on the day before Admiral (Russia) made a statement for Chuck Hagel and Ministry (Madagascar) made a statement for Government (Mada-gascar)?
Temporal Query  $q[V_2] = V_2, \exists T_a, T_b, r_1(e_1, V_2, T_b)) \land After(T_a, T_b) \land$ $r_2(e_2, e_3, T_a) \land r_3(e_4, e_5, T_a)$
Rank	Query Answers	Correctness	Answer Type
1	South Korea	✔	Easy
2	Japan	✔	Easy
3	North Korea	✔	-
4	Head of Government (South Korea)	✔	Easy
5	John Kerry	✔	Easy
Figure 47: Intermediate variable assignments and ranks for example Pe_ct2i query. Correctness indicates whether the answer belongs to the ground-truth set of answers.
$e_1$  ：
Citizen (India)
r1: Decline comment 2.1. Presidential Candidates (Manningham)
e3: Presidential Candidacy (a) Consult
$\epsilon_{3}$  ： Employee (Mozza
$e_4$  : Evo Morales
$r_3$  : Make statem
Military (Bolivia)
Query Sentence Who was declined commented by Citizen (India) after the day when the employee (Mozambique) consulted the Presidential Candidate (Mozambique), and Evo Morales made a statement to the Military (Bolivia)?
Temporal Query  $q[V_{?}]$ $V_{?},\exists T_{a},T_{b},r_{1}(e_{1},V_{?,}T_{b})$ $\wedge$  Before  $(T_{a},T_{b})$  1  $r_2(e_2,e_3,T_a)\wedge r_3(e_4,e_5,T_a)$
Rank	Query Answers	Correctness	Answer Type
1	Media (India)	✔	Easy
2	Member of Parliament (India)	×	-
3	Court Judge (India)	✔	Easy
4	Head of Government (India)	×	-
5	Governor (India)	×	-
Query Sentence	What was the day between the day that Tsai Ing-wen accused the Party Member (Taiwan) and the foreign affairs (United States) appealed for diplomatic cooperation (such as policy support) from the other Authorities/officials (Romania)?
Temporal Query	q[T?] = T?, ∃Ta, Tb, r1(e1, e2, Ta) ∧ r2(e3, e4, Tb) ∧ After(Ta, T?) ∧ Before(Tb, T?)
Rank	Query Answers	Correctness	Answer Type
1	2014-07-19	✔	Easy
2	2014-07-29	✔	-
3	2014-06-10	✔	Easy
4	2014-08-21	✔	-
d 5	2014-06-25	✔	Easy
Figure 48: Intermediate variable assignments and ranks for example between query. Correctness indicates whether the answer belongs to the ground-truth set of answers.