battle_question listlengths 2 2 ⌀ | score float64 0.2 1.05 ⌀ | ori_output stringlengths 351 7.36k ⌀ | gold stringlengths 12 70 ⌀ | data_source stringclasses 3
values | prompt listlengths 2 2 | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|---|---|---|---|
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Ross: Th-th-that's all it is, a third nipple.\n Ross: Just your... | 1.05 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Dr. Rhodes, displays a neutral and slightly authoritative tone, primarily focused on providing a clinical, objective assessment. His emotions are mainly neutral, with a touch of surprise or curiosity due to Ross's unexpec... | {'joy': 0.7, 'fear': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Ross: Th-th-that's all it is, a third nipple.\n Ross: Just your... | emotional | {
"ground_truth": "{'joy': 0.7, 'fear': 0.3}",
"style": "rule"
} | {
"answer": "{'joy': 0.7, 'fear': 0.3}",
"index": 0,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Not nice enough.\n SPEAKER_2: Charla, 278. Sorry, de... | 0.240476 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_0, displays a casual and playful tone, accompanied by a sense of mockery and teasing. Their emotions are primarily neutral, with underlying elements of humor and a bit of sarcasm. The interaction is lighthearted, ... | {'neutral': 0.7, 'joy': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Not nice enough.\n SPEAKER_2: Charla, 278. Sorry, de... | emotional | {
"ground_truth": "{'neutral': 0.7, 'joy': 0.3}",
"style": "rule"
} | {
"answer": "{'neutral': 0.7, 'joy': 0.3}",
"index": 1,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation a... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: Ooh, this is it! Oh, thats him! Thats him!\n Joey: G... | 0.69 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Joey, displays a neutral tone with a touch of sarcasm and a dismissive attitude. His message is straightforward, acknowledging Phoebe's observations about men being initially nice but later turning out to be jerks. The em... | {'sadness': 0.6, 'fear': 0.1} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: Ooh, this is it! Oh, thats him! Thats him!\n Joey: G... | emotional | {
"ground_truth": "{'sadness': 0.6, 'fear': 0.1}",
"style": "rule"
} | {
"answer": "{'sadness': 0.6, 'fear': 0.1}",
"index": 2,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: No, I have two sisters. But one of them has a very masc... | 0.695161 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Krista, displays a neutral and urgent tone, primarily driven by a practical concern about the cold bath. Her message is straightforward and lacks emotional depth, focusing on a logistical issue rather than engaging with D... | {'neutral': 0.7, 'surprise': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: No, I have two sisters. But one of them has a very masc... | emotional | {
"ground_truth": "{'neutral': 0.7, 'surprise': 0.5}",
"style": "rule"
} | {
"answer": "{'neutral': 0.7, 'surprise': 0.5}",
"index": 3,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: Uh... Oh, Mindy, you are so stupid. Oh, we are both so ... | 0.966667 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Joey, displays a neutral tone with a sense of surprise and amusement, primarily driven by a neutral intent to observe and comment on the escalating conflict between Rachel and Mindy. His reaction is externally neutral, de... | {'sadness': 0.6, 'fear': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: Uh... Oh, Mindy, you are so stupid. Oh, we are both so ... | emotional | {
"ground_truth": "{'sadness': 0.6, 'fear': 0.3}",
"style": "rule"
} | {
"answer": "{'sadness': 0.6, 'fear': 0.3}",
"index": 4,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: He's right. Nobody's gonna benefit, and you're just ... | 0.85 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_2, displays a defensive and hesitant attitude, primarily driven by a sense of defeat and a lack of understanding or agreement with SPEAKER_1's harsh criticisms. Their tone is neutral but edged with fear and confus... | {'anger': 0.7, 'disgust': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: He's right. Nobody's gonna benefit, and you're just ... | emotional | {
"ground_truth": "{'anger': 0.7, 'disgust': 0.5}",
"style": "rule"
} | {
"answer": "{'anger': 0.7, 'disgust': 0.5}",
"index": 5,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Whats the matter, Pheebs?\n Phoebe: She cancelled! My na... | 0.511538 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Phoebe, displays a high level of distress and anger, primarily driven by the loss of a significant relationship and a sense of betrayal. Her emotions are mainly sadness, exacerbated by feelings of anger and frustration. S... | {'sadness': 0.7, 'fear': 0.1} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Whats the matter, Pheebs?\n Phoebe: She cancelled! My na... | emotional | {
"ground_truth": "{'sadness': 0.7, 'fear': 0.1}",
"style": "rule"
} | {
"answer": "{'sadness': 0.7, 'fear': 0.1}",
"index": 6,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: And the advances in collating in the past five years... | 0.254082 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_1, displays a neutral tone with underlying sadness and a sense of resignation. Their message is straightforward, stating that plans have changed and that the couple is breaking up. The emotions here are primarily ... | {'sadness': 0.6, 'surprise': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: And the advances in collating in the past five years... | emotional | {
"ground_truth": "{'sadness': 0.6, 'surprise': 0.3}",
"style": "rule"
} | {
"answer": "{'sadness': 0.6, 'surprise': 0.3}",
"index": 7,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Monica: Would you ever be a surrogate for anyone?\n Rachel: It ... | 0.77 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Monica, displays a neutral and curious tone, primarily focused on a straightforward question about whether Rachel would ever be a surrogate. Her emotions are mainly neutral, with a touch of surprise or excitement when Rac... | {'joy': 0.8, 'neutral': 0.2} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Monica: Would you ever be a surrogate for anyone?\n Rachel: It ... | emotional | {
"ground_truth": "{'joy': 0.8, 'neutral': 0.2}",
"style": "rule"
} | {
"answer": "{'joy': 0.8, 'neutral': 0.2}",
"index": 8,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation a... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Well, I dont know!!\n Ross: We fell asleep! That is all.... | 0.814706 | <think>
First, I should analyze the psychology and emotions of the last speaker.The last speaker uses abrupt, tone-deaf language, reported as 'No touch! No touch!' which indicates that they are expressing bloatingሜ of deficit, in this case, their fruströ and grille by the surrounding, expressed through an рамках circum... | {'anger': 0.7, 'sadness': 0.5, 'neutral': 0.6} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Well, I dont know!!\n Ross: We fell asleep! That is all.... | emotional | {
"ground_truth": "{'anger': 0.7, 'sadness': 0.5, 'neutral': 0.6}",
"style": "rule"
} | {
"answer": "{'anger': 0.7, 'sadness': 0.5, 'neutral': 0.6}",
"index": 9,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the follow... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Monica: Good.\n Monica: So you owe me three pretty things.\n Mo... | 0.837879 | <think>
First, I should analyze the psychology and emotions of the last speaker.Monica's latest utterance, "I'll call you back," serves as a psychological release and a definitive conclusion to the ambiguity and tension between her and Richard. Her emotional profile is primarily neutral, as she takes the initiative to ... | {'neutral': 0.7, 'fear': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Monica: Good.\n Monica: So you owe me three pretty things.\n Mo... | emotional | {
"ground_truth": "{'neutral': 0.7, 'fear': 0.3}",
"style": "rule"
} | {
"answer": "{'neutral': 0.7, 'fear': 0.3}",
"index": 10,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Chandler: Dehydrated Japanese noodles under fluorescent lights.... | 0.8 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Chandler, displays a neutral tone with an underlying surprise and a touch of confusion. His main emotion is neutral, as he's simply stating a fact (the person he met is a he) without expressing strong feelings. However, t... | {'joy': 0.5, 'neutral': 0.7} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Chandler: Dehydrated Japanese noodles under fluorescent lights.... | emotional | {
"ground_truth": "{'joy': 0.5, 'neutral': 0.7}",
"style": "rule"
} | {
"answer": "{'joy': 0.5, 'neutral': 0.7}",
"index": 11,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JOHN: We were all going take a trip to Europe you know.\n PATRI... | 0.811905 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, JOHN, displays a sense of sadness and resignation, primarily driven by his struggle with his daughter's impending passing and his own无助 and helplessness. His tone is weary and weary, marked by a sense of defeat and a lack... | {'sadness': 0.7, 'neutral': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JOHN: We were all going take a trip to Europe you know.\n PATRI... | emotional | {
"ground_truth": "{'sadness': 0.7, 'neutral': 0.3}",
"style": "rule"
} | {
"answer": "{'sadness': 0.7, 'neutral': 0.3}",
"index": 12,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Can I use your phone? Yeah, the number for a Sidney Mark... | 0.431188 | <think>
First, I should analyze the psychology and emotions of the last speaker.Joey's pronunciation of Sidney likely triggers a moment of internal correction, which manifests as situational neutral discomfort.Disinhibition and structured polarization drive him towards the remedial birth of a corrected pronunciation, d... | {'joy': 0.25} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Can I use your phone? Yeah, the number for a Sidney Mark... | emotional | {
"ground_truth": "{'joy': 0.25}",
"style": "rule"
} | {
"answer": "{'joy': 0.25}",
"index": 13,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Y'know what?\n Chandler: Umm?\n Joey: I bet ya ya I coul... | 0.966667 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Chandler, displays a neutral tone with a supportive and slightly challenging attitude. He's offering a bet, which is neutral in itself, but underlying it is a playful and competitive spirit. His emotion is primarily neutr... | {'joy': 0.7, 'surprise': 0.1} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Y'know what?\n Chandler: Umm?\n Joey: I bet ya ya I coul... | emotional | {
"ground_truth": "{'joy': 0.7, 'surprise': 0.1}",
"style": "rule"
} | {
"answer": "{'joy': 0.7, 'surprise': 0.1}",
"index": 14,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n PATRICIA: From your father's point of view, he isn't dead. And... | 0.8 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, PATRICIA, displays a neutral and slightly critical tone, primarily focused on pointing out JOHN's lack of success in finding a partner and implying that Annie might not be the right choice. Her emotions are mainly neutral... | {'anger': 0.7, 'disgust': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n PATRICIA: From your father's point of view, he isn't dead. And... | emotional | {
"ground_truth": "{'anger': 0.7, 'disgust': 0.5}",
"style": "rule"
} | {
"answer": "{'anger': 0.7, 'disgust': 0.5}",
"index": 15,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Hey.\n SPEAKER_1: Hi. Mom. Dad.\n SPEAKER_2: Sweethe... | 0.841667 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_3, displays a mix of confusion and surprise, primarily driven by a neutral tone. Their main emotion is neutral, stemming from a lack of understanding about the term 'subway' and a moment of mild disorientation. Be... | {'neutral': 0.6, 'joy': 0.2} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Hey.\n SPEAKER_1: Hi. Mom. Dad.\n SPEAKER_2: Sweethe... | emotional | {
"ground_truth": "{'neutral': 0.6, 'joy': 0.2}",
"style": "rule"
} | {
"answer": "{'neutral': 0.6, 'joy': 0.2}",
"index": 16,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: Hi!\n Joey: Hey!\n Rachel: Joey, I gotta tell ya, I've ... | 0.4875 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Joey, has a neutral tone with a slightly enthusiastic and imperative message. His main emotion is neutral, driven by a practical need to assign tasks and move forward with the script rehearsal. Underlying this neutrality ... | {'joy': 0.7, 'surprise': 0.1} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: Hi!\n Joey: Hey!\n Rachel: Joey, I gotta tell ya, I've ... | emotional | {
"ground_truth": "{'joy': 0.7, 'surprise': 0.1}",
"style": "rule"
} | {
"answer": "{'joy': 0.7, 'surprise': 0.1}",
"index": 17,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: What?! No, you cant, you cant leave me here with them... | 0.73 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Joey, displays a neutral and carefree attitude, primarily driven by a casual, upbeat tone. His main emotion is neutral, as he shifts focus from the previous intense arguments and emergencies to a light, unrelated topic (t... | {'neutral': 0.8, 'disgust': 0.2} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: What?! No, you cant, you cant leave me here with them... | emotional | {
"ground_truth": "{'neutral': 0.8, 'disgust': 0.2}",
"style": "rule"
} | {
"answer": "{'neutral': 0.8, 'disgust': 0.2}",
"index": 18,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: Ok, off the top of my head... Don and Janet.\n Monica: ... | 0.716667 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Monica, displays a neutral tone with an underlying sense of exasperation and concern. Her message is straightforward, pointing out Rachel's confusion and frustration, while also conveying a tone of impatience through phra... | {'neutral': 0.7, 'fear': 0.1} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: Ok, off the top of my head... Don and Janet.\n Monica: ... | emotional | {
"ground_truth": "{'neutral': 0.7, 'fear': 0.1}",
"style": "rule"
} | {
"answer": "{'neutral': 0.7, 'fear': 0.1}",
"index": 19,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Ross: So is everybody here?\n Ross: I got here a little early m... | 0.997368 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Ross, displays a neutral tone with a focus on presenting information in a straightforward, factual manner. His primary emotion is neutral, driven by a need to convey information clearly and lead the discussion without per... | {'neutral': 0.7, 'joy': 0.1} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Ross: So is everybody here?\n Ross: I got here a little early m... | emotional | {
"ground_truth": "{'neutral': 0.7, 'joy': 0.1}",
"style": "rule"
} | {
"answer": "{'neutral': 0.7, 'joy': 0.1}",
"index": 20,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Mark: You wanna talk, I mean I can come over?\n Rachel: No! Rea... | 0.9875 | <think>
First, I should analyze the psychology and emotions of the last speaker.Rachel's last message 'Oh. Okay, bye.' shows that she's not emotionally subdued. She doesn't seem to have overdue emotional tension, but instead she has a 'sadness' of loneliness and a 'fear' of approaching reality, which has a rationalized... | {'anger': 0.65, 'sadness': 0.35} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Mark: You wanna talk, I mean I can come over?\n Rachel: No! Rea... | emotional | {
"ground_truth": "{'anger': 0.65, 'sadness': 0.35}",
"style": "rule"
} | {
"answer": "{'anger': 0.65, 'sadness': 0.35}",
"index": 21,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Hey, look, you're in trouble either way! Okay? If sh... | 0.489024 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_0, is displaying a high level of anger and desperation. Their tone is frantic and filled with emotional bursts, such as repetition of "Freedom!" and a scream of "Why won't you here me?!" The emotions here are prim... | {'neutral': 0.7, 'disgust': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Hey, look, you're in trouble either way! Okay? If sh... | emotional | {
"ground_truth": "{'neutral': 0.7, 'disgust': 0.5}",
"style": "rule"
} | {
"answer": "{'neutral': 0.7, 'disgust': 0.5}",
"index": 22,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Oh, is he hungry already?\n SPEAKER_1: I guess so.\n... | 0.728571 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_2, displays a mix of neutral curiosity and a underlying sense of practicality. Their primary emotion is neutral, driven by a straightforward desire to address a practical matter (Joey's question about breastfeedin... | {'joy': 0.6, 'sadness': 0.2} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Oh, is he hungry already?\n SPEAKER_1: I guess so.\n... | emotional | {
"ground_truth": "{'joy': 0.6, 'sadness': 0.2}",
"style": "rule"
} | {
"answer": "{'joy': 0.6, 'sadness': 0.2}",
"index": 23,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Ross: Fine. Youll-youll watch it on video when we get back.\n... | 0.511538 | <think>
First, I should analyze the psychology and emotions of the last speaker.The last speaker's utterance indicates a mild sense of sadness, possibly from feeling neglected, immediate joy triggered by gladness that Ross and Chandler didn't attempt to give her any material gift, and mild surprise at the response. It ... | {'joy': 0.6, 'neutral': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Ross: Fine. Youll-youll watch it on video when we get back.\n... | emotional | {
"ground_truth": "{'joy': 0.6, 'neutral': 0.4}",
"style": "rule"
} | {
"answer": "{'joy': 0.6, 'neutral': 0.4}",
"index": 24,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n ROBERT: I could hear it right through the floor.\n JENNIFER: St... | 0.322727 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, JENNIFER, displays a sense of urgency and fear, primarily driven by a sense of panic and confusion. Her emotions are mainly fear, exacerbated by her questioning of how Robert can prove that Larry's return is impossible. H... | {'anger': 0.6, 'sadness': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n ROBERT: I could hear it right through the floor.\n JENNIFER: St... | emotional | {
"ground_truth": "{'anger': 0.6, 'sadness': 0.4}",
"style": "rule"
} | {
"answer": "{'anger': 0.6, 'sadness': 0.4}",
"index": 25,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: Wait you stole those from these peoples wedding?\n Ros... | 0.61 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Joey, displays a high level of surprise and excitement, primarily driven by the shocking revelation that Ross stole items from a wedding. Joey's exclamation marks and enthusiastic "Oh my God!" convey a sense of surprise a... | {'joy': 0.6, 'surprise': 0.7} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: Wait you stole those from these peoples wedding?\n Ros... | emotional | {
"ground_truth": "{'joy': 0.6, 'surprise': 0.7}",
"style": "rule"
} | {
"answer": "{'joy': 0.6, 'surprise': 0.7}",
"index": 26,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: You know, you were right? I mean, I thought we were ... | 0.25 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker exhibits a surprised and possibly defensive tone, marked by a sudden shift from neutral to alarmed. Their reaction is steeped in confusion and a underlying sense of fear or anxiety, evident in their abrupt interruption and... | {'joy': 0.6, 'surprise': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: You know, you were right? I mean, I thought we were ... | emotional | {
"ground_truth": "{'joy': 0.6, 'surprise': 0.3}",
"style": "rule"
} | {
"answer": "{'joy': 0.6, 'surprise': 0.3}",
"index": 27,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Dr. Geller, Sherman Whitfield, London Institute.\n S... | 0.396154 | <think>
First, I should analyze the psychology and emotions of the last speaker.SPEAKER_0's utterance is a direct challenge, stripping away deference and confronting the other with a declarative 'But, you left the chair area.' The syntax here is jarring in its confrontation, anchoring the speaker in a posture of presen... | {'mad': 0.8, 'power': 0.7} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Dr. Geller, Sherman Whitfield, London Institute.\n S... | emotional | {
"ground_truth": "{'mad': 0.8, 'power': 0.7}",
"style": "rule"
} | {
"answer": "{'mad': 0.8, 'power': 0.7}",
"index": 28,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JAMES: So what's up? What's new?\n MARY: Well Vegas was awesom... | 0.876087 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, MARY, displays a mix of joy and surprise, primarily driven by the news of her marriage. Her tone is upbeat and enthusiastic, highlighting the romantic and unexpected nature of her wedding, particularly the humorous detail... | {'neutral': 0.8, 'amusement': 0.2} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JAMES: So what's up? What's new?\n MARY: Well Vegas was awesom... | emotional | {
"ground_truth": "{'neutral': 0.8, 'amusement': 0.2}",
"style": "rule"
} | {
"answer": "{'neutral': 0.8, 'amusement': 0.2}",
"index": 29,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following convers... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JAMES: I don't get it though, I mean the first time we came her... | 0.411702 | <think>
First, I should analyze the psychology and emotions of the last speaker.The emotions of the last speaker, JAMES, are: {'excited': 0.95, 'neutral': 0.95}.
In summary, JAMES's emotions are primarily excited and neutral.Description: JAMES is excited about the grand, mystical imagery he's conjuring, treating it lik... | {'sad': 0.75, 'neutral': 0.7} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JAMES: I don't get it though, I mean the first time we came her... | emotional | {
"ground_truth": "{'sad': 0.75, 'neutral': 0.7}",
"style": "rule"
} | {
"answer": "{'sad': 0.75, 'neutral': 0.7}",
"index": 30,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Lorraine: Hi, Joey. Well well, look what you brought. Very nice... | 0.77 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Janice, displays a sense of surprise and shock, primarily driven by the unexpected revelation that Chandler is actually Janice. Her tone is astonished and slightly overwhelmed, reflecting a mix of surprise and a newfound ... | {'neutral': 0.9, 'disgust': 0.1} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Lorraine: Hi, Joey. Well well, look what you brought. Very nice... | emotional | {
"ground_truth": "{'neutral': 0.9, 'disgust': 0.1}",
"style": "rule"
} | {
"answer": "{'neutral': 0.9, 'disgust': 0.1}",
"index": 31,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Phoebs, play with meeee.\n SPEAKER_1: Why don't you ... | 0.8 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_1, displays a neutral and slightly condescending tone, guided by a practical, no-nonsense attitude. Their emotions are primarily neutral, driven by a straightforward recommendation to 'talk to him' and a underlyin... | {'anger': 0.7, 'disgust': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Phoebs, play with meeee.\n SPEAKER_1: Why don't you ... | emotional | {
"ground_truth": "{'anger': 0.7, 'disgust': 0.5}",
"style": "rule"
} | {
"answer": "{'anger': 0.7, 'disgust': 0.5}",
"index": 32,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Monica: She is unbelievable, our mother is...\n Ross: Okay, rel... | 0.335714 | <think>
First, I should analyze the psychology and emotions of the last speaker.Mr. Geller's emotional profile: {foo: ...}.
In the given context, Mr. Geller's last utterance—“Not just restaurants, from our house”—commands attention without prior emotional cues, introducing bluntly new evidence (the house) that challen... | {'anger': 0.8, 'guilt': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Monica: She is unbelievable, our mother is...\n Ross: Okay, rel... | emotional | {
"ground_truth": "{'anger': 0.8, 'guilt': 0.5}",
"style": "rule"
} | {
"answer": "{'anger': 0.8, 'guilt': 0.5}",
"index": 33,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Tag: So, whats this about?\n Phoebe: Rachel has something that... | 0.313158 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Rachel, displays a neutral tone with underlying anxiety and a sense of confusion. Her main emotion is neutral, as she's trying to resolve a conflict without escalating it, while also subtly pointing out that Tag's red swe... | {'anger': 0.7, 'disgust': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Tag: So, whats this about?\n Phoebe: Rachel has something that... | emotional | {
"ground_truth": "{'anger': 0.7, 'disgust': 0.4}",
"style": "rule"
} | {
"answer": "{'anger': 0.7, 'disgust': 0.4}",
"index": 34,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: I didn't know then. And how come you never said anyt... | 0.959091 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_0, displays a mix of anger, frustration, and a sense of defeat. Their tone is hostile and confrontational, evident in phrases like 'you only had a year' and 'I don't need your stupid ship.' Underlying this anger i... | {'neutral': 0.9, 'sadness': 0.1} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: I didn't know then. And how come you never said anyt... | emotional | {
"ground_truth": "{'neutral': 0.9, 'sadness': 0.1}",
"style": "rule"
} | {
"answer": "{'neutral': 0.9, 'sadness': 0.1}",
"index": 35,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Bijan for men?\n Joey: Bijan for men?\n Joey: Bijan for..... | 0.89 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Annabelle, displays a neutral and slightly dismissive tone, primarily focused on declining Joey's request. Her response is straightforward and polite, indicating she's not interested in going out with him. The emotions he... | {'sadness': 0.7, 'disgust': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Bijan for men?\n Joey: Bijan for men?\n Joey: Bijan for..... | emotional | {
"ground_truth": "{'sadness': 0.7, 'disgust': 0.4}",
"style": "rule"
} | {
"answer": "{'sadness': 0.7, 'disgust': 0.4}",
"index": 36,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JAMES: ...to this spot for this massive celebration of like sex... | 0.21 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, MARY, displays a critical and dismissive tone, primarily conveying a sense of sadness and neutral skepticism. Her main emotions are neutral, aimed at explaining the futility and artificiality of James's excitement, while ... | {'excited': 0.8, 'anger': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JAMES: ...to this spot for this massive celebration of like sex... | emotional | {
"ground_truth": "{'excited': 0.8, 'anger': 0.3}",
"style": "rule"
} | {
"answer": "{'excited': 0.8, 'anger': 0.3}",
"index": 37,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: Were gonna find love!\n Phoebe: Definitely!\n Rachel: ... | 0.959091 | <think>
First, I should analyze the psychology and emotions of the last speaker.Phoebe's statement, 'Yeah, yeah I got that,' is characterized by low to neutral tonality with subtly embedded surprise and satisfaction. This neutral projection is a strategic condensation of assurance, masking underlying amusement or sligh... | {'fear': 0.25, 'neutral': 0.65} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: Were gonna find love!\n Phoebe: Definitely!\n Rachel: ... | emotional | {
"ground_truth": "{'fear': 0.25, 'neutral': 0.65}",
"style": "rule"
} | {
"answer": "{'fear': 0.25, 'neutral': 0.65}",
"index": 38,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversati... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Oh my God!\n Joey: Are you kidding me? I never rent a mov... | 0.716667 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Phoebe, displays a casual and playful tone, primarily driven by amusement and a sense of irony. Her emotions are mainly joy, fueled by the humorous and exaggerated situation of Joey having to be naked in a movie. She also... | {'joy': 0.7, 'surprise': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Oh my God!\n Joey: Are you kidding me? I never rent a mov... | emotional | {
"ground_truth": "{'joy': 0.7, 'surprise': 0.3}",
"style": "rule"
} | {
"answer": "{'joy': 0.7, 'surprise': 0.3}",
"index": 39,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Joanna passed away last night.\n SPEAKER_1: Oh my Go... | 0.745652 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_2, displays a cheerful and upbeat demeanor, evident from their exclamation marks and the phrase "I sure did!" Their tone is clearly joyous, contrasting sharply with the previous heavy and sad conversation about Jo... | {'sadness': 0.9, 'anger': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Joanna passed away last night.\n SPEAKER_1: Oh my Go... | emotional | {
"ground_truth": "{'sadness': 0.9, 'anger': 0.4}",
"style": "rule"
} | {
"answer": "{'sadness': 0.9, 'anger': 0.4}",
"index": 40,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Ross: Yknow, one of them had never been to a bachelor party be... | 0.636207 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Chandler, displays a neutral and informative tone, focusing on the historical and sentimental value of the ring. His emotions are primarily neutral, aimed at explaining the significance of the ring传承 and its association w... | {'neutral': 0.7, 'joy': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Ross: Yknow, one of them had never been to a bachelor party be... | emotional | {
"ground_truth": "{'neutral': 0.7, 'joy': 0.3}",
"style": "rule"
} | {
"answer": "{'neutral': 0.7, 'joy': 0.3}",
"index": 41,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: And the advances in collating in the past five years... | 0.76875 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker's tone is neutral but carries a sense of sadness and underlying despair, primarily conveyed through a neutral statement about changing plans and the impending breakup. The emotions here are mainly sadness, with a touch of ... | {'sadness': 0.6, 'joy': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: And the advances in collating in the past five years... | emotional | {
"ground_truth": "{'sadness': 0.6, 'joy': 0.3}",
"style": "rule"
} | {
"answer": "{'sadness': 0.6, 'joy': 0.3}",
"index": 42,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: I can't believe you said woowoo. I don't even say woowoo.... | 0.883333 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Rachel, displays a vibrant, enthusiastic excitement marked by strong positive emotions, primarily joy. Her tone is animated and infectious, driven by a deep love for Nora Tyler Bing's books and a sense of urgency to engag... | {'neutral': 0.9, 'disgust': 0.05} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: I can't believe you said woowoo. I don't even say woowoo.... | emotional | {
"ground_truth": "{'neutral': 0.9, 'disgust': 0.05}",
"style": "rule"
} | {
"answer": "{'neutral': 0.9, 'disgust': 0.05}",
"index": 43,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversa... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Monica: Shoot! Were out of soda.\n Chandler: Oh, Ill go out a... | 0.997368 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Monica, displays a neutral and surprised tone, primarily driven by confusion and disbelief. Her question, "Sweety, what are you talking about?" reflects a neutral, straightforward inquiry rather than an emotional reaction... | {'joy': 0.7, 'neutral': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Monica: Shoot! Were out of soda.\n Chandler: Oh, Ill go out a... | emotional | {
"ground_truth": "{'joy': 0.7, 'neutral': 0.5}",
"style": "rule"
} | {
"answer": "{'joy': 0.7, 'neutral': 0.5}",
"index": 44,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_1: Hey, Felicity.\n SPEAKER_1: Yeah.\n SPEAKER_1: Fugge... | 0.907143 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_3, displays a mix of surprise, panic, and fear. Their tone is sharp and accusatory, conveyed through a short, high-pitched exclamation ('What-what's going on?!') that reflects immediate distress and a sense of bei... | {'joy': 0.4, 'neutral': 0.6} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_1: Hey, Felicity.\n SPEAKER_1: Yeah.\n SPEAKER_1: Fugge... | emotional | {
"ground_truth": "{'joy': 0.4, 'neutral': 0.6}",
"style": "rule"
} | {
"answer": "{'joy': 0.4, 'neutral': 0.6}",
"index": 45,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Ross: Hey, you wanna get something to eat or uh, do you wanna s... | 0.478571 | <think>
First, I need to analyze the psychology and emotions of the last speaker.Ross's last statement, 'I know! Don't switch hands, okay?' carries a smug confidence, reflecting his enjoyment in manipulating the forms of the game. He feels delighted and competitive at being smart about the baking sequence Ross made, as... | {'joy': 0.4, 'anger': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Ross: Hey, you wanna get something to eat or uh, do you wanna s... | emotional | {
"ground_truth": "{'joy': 0.4, 'anger': 0.3}",
"style": "rule"
} | {
"answer": "{'joy': 0.4, 'anger': 0.3}",
"index": 46,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: My drinking?\n Joanna: Oh, I mustve said that after yo... | 0.511538 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Joanna, displays a sense of urgency and fear, primarily driven by her own anxiety and the need to prevent a potential breakup. Her tone is frantic, laden with emotions of fear and a underlying sense of desperation. She's ... | {'anger': 0.6, 'sadness': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: My drinking?\n Joanna: Oh, I mustve said that after yo... | emotional | {
"ground_truth": "{'anger': 0.6, 'sadness': 0.5}",
"style": "rule"
} | {
"answer": "{'anger': 0.6, 'sadness': 0.5}",
"index": 47,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: I mean, this is unbelievable.\n SPEAKER_1: I know. T... | 0.887037 | <think>
First, I should analyze the psychology and emotions of the last speaker.SPEAKER_3's statement is emotionally vibrant and exuberant, marked by Joyful. This is evident in the fast-paced, enthusiastic tone and the mention of a realization about Ross traveling to meet them. The Joyful designation reflects their ext... | {'anger': 0.72, 'sadness': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: I mean, this is unbelievable.\n SPEAKER_1: I know. T... | emotional | {
"ground_truth": "{'anger': 0.72, 'sadness': 0.5}",
"style": "rule"
} | {
"answer": "{'anger': 0.72, 'sadness': 0.5}",
"index": 48,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversati... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: Well yeah, I lied before.\n Rachel: Oh!\n Monica: Oh Go... | 0.841667 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Phoebe, displays a mix of surprise and a underlying tone of confrontation. Her primary emotion is surprise, evident in her abrupt shift from neutrality to questioning Rachel's intentions with a direct, accusatory query ab... | {'fear': 0.6, 'sadness': 0.2} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: Well yeah, I lied before.\n Rachel: Oh!\n Monica: Oh Go... | emotional | {
"ground_truth": "{'fear': 0.6, 'sadness': 0.2}",
"style": "rule"
} | {
"answer": "{'fear': 0.6, 'sadness': 0.2}",
"index": 49,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n ROBERT: You got to meet her, she's wonderful.\n ROBERT: She jus... | 0.520588 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, ROBERT, displays a neutral and slightly excited tone, primarily focused on explaining his relationship with the 18-year-old girl he's dating. His emotions are mainly neutral, driven by a sense of pride and justification f... | {'anger': 0.7, 'disgust': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n ROBERT: You got to meet her, she's wonderful.\n ROBERT: She jus... | emotional | {
"ground_truth": "{'anger': 0.7, 'disgust': 0.5}",
"style": "rule"
} | {
"answer": "{'anger': 0.7, 'disgust': 0.5}",
"index": 50,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Susan: Your son.\n Ross: No-no-no. I don't have a son named Jor... | 0.835714 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Ross, displays a sense of confusion, surprise, and defeat, primarily driven by the unexpected revelation about his son's name. His tone is abrupt and defensive, reflecting his frustration and inability to reconcile the ne... | {'anger': 0.7, 'disgust': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Susan: Your son.\n Ross: No-no-no. I don't have a son named Jor... | emotional | {
"ground_truth": "{'anger': 0.7, 'disgust': 0.4}",
"style": "rule"
} | {
"answer": "{'anger': 0.7, 'disgust': 0.4}",
"index": 51,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Monica: Oh, I'm sorry.\n Rachel: Where's Chandler?\n Phoebe: Oh... | 0.764286 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Phoebe, exhibits a neutral tone with a underlying sense of disapproval or mockery. Her primary emotion is neutral, conveyed through a casual and slightly dismissive remark about Chandler's newfound freedom. She seems to b... | {'sadness': 0.6, 'fear': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Monica: Oh, I'm sorry.\n Rachel: Where's Chandler?\n Phoebe: Oh... | emotional | {
"ground_truth": "{'sadness': 0.6, 'fear': 0.4}",
"style": "rule"
} | {
"answer": "{'sadness': 0.6, 'fear': 0.4}",
"index": 52,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Chandler: Oh, Danielle! I wasn't expecting the machine... Give ... | 0.259302 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Phoebe, displays a strong sense of anger and fear, driven by her frustration and fear of the intruder with the telescope. Her tone is urgent and confrontational, urging the intruder to leave immediately. The emotions here... | {'neutral': 0.7, 'surprise': 0.2} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Chandler: Oh, Danielle! I wasn't expecting the machine... Give ... | emotional | {
"ground_truth": "{'neutral': 0.7, 'surprise': 0.2}",
"style": "rule"
} | {
"answer": "{'neutral': 0.7, 'surprise': 0.2}",
"index": 53,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversa... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n ROBERT: He was supposed to be the best man at my wedding.\n JEN... | 0.581792 | <think>
First, I should analyze the psychology and emotions of the last speaker.Reader's emotional profile: {'sadness': 0.92, 'anger': 0.38}
In this situation, the last speaker's statement contains a profound sorrow because they are sharing a tragic event that led to significant consequences. They have shared the catas... | {'sadness': 0.93, 'frustration': 0.23} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n ROBERT: He was supposed to be the best man at my wedding.\n JEN... | emotional | {
"ground_truth": "{'sadness': 0.93, 'frustration': 0.23}",
"style": "rule"
} | {
"answer": "{'sadness': 0.93, 'frustration': 0.23}",
"index": 54,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following con... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_4: Ross, would you just stop it! It's getting really ol... | 0.633333 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker's tone is highly aggressive and comedic, driven by a sense of愤怒 and a playful, chaotic energy. Their message is both a confrontational demand and a humorous, exaggerated threat, reflecting a deep frustration and a need to ... | {'neutral': 0.8, 'joy': 0.2} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_4: Ross, would you just stop it! It's getting really ol... | emotional | {
"ground_truth": "{'neutral': 0.8, 'joy': 0.2}",
"style": "rule"
} | {
"answer": "{'neutral': 0.8, 'joy': 0.2}",
"index": 55,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: Yeah, I think it was better when you guys were sad. Hey... | 0.368352 | <think>
First, I should analyze the psychology and emotions of the last speaker.Rachel's expression displays high outrage against Monica's tumultuous declaration, exhibiting high anger and drive towards dismissing her unrestricted attachment attempts. For cultural context, she censors to symbolize her smooth disgruntle... | {'surprise': 0.75, 'joy': 0.6, 'fear': 0.45} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: Yeah, I think it was better when you guys were sad. Hey... | emotional | {
"ground_truth": "{'surprise': 0.75, 'joy': 0.6, 'fear': 0.45}",
"style": "rule"
} | {
"answer": "{'surprise': 0.75, 'joy': 0.6, 'fear': 0.45}",
"index": 56,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the followi... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Okay, look, I think we have to tell Rachel she messed up ... | 0.454762 | <think>
First, I should analyze the psychology and emotions of the last speaker.Ross's statement expresses strong confusion and irritation. His fireworksدعاء the cultural context of Thanksgiving as a time for togetherness and food, not for exposing shortcomings, underscores his disapproval of the abrupt evaluation of R... | {'unexpected': 0.2, 'joy': 0.7, 'neutral': 0.1} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Okay, look, I think we have to tell Rachel she messed up ... | emotional | {
"ground_truth": "{'unexpected': 0.2, 'joy': 0.7, 'neutral': 0.1}",
"style": "rule"
} | {
"answer": "{'unexpected': 0.2, 'joy': 0.7, 'neutral': 0.1}",
"index": 57,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the foll... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_1: OK, you wanna play? OK, let's play, let's play.\n SP... | 0.780769 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker exhibits a tone of resentment and anger, marked by a confrontational approach and a sense of betrayal. Their message is steeped in anger, reflecting deep-seated hurt and a need to confront past mistakes. The emotions here ... | {'neutral': 0.8, 'sadness': 0.2} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_1: OK, you wanna play? OK, let's play, let's play.\n SP... | emotional | {
"ground_truth": "{'neutral': 0.8, 'sadness': 0.2}",
"style": "rule"
} | {
"answer": "{'neutral': 0.8, 'sadness': 0.2}",
"index": 58,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: And?\n SPEAKER_1: Its pretty ugly. We havent seen an... | 0.675 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_1, displays a neutral and practical tone, primarily driven by factual information and a sense of indifference. Their emotions are mainly neutral, aimed at providing straightforward updates about the company's dire... | {'fear': 0.6, 'sadness': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: And?\n SPEAKER_1: Its pretty ugly. We havent seen an... | emotional | {
"ground_truth": "{'fear': 0.6, 'sadness': 0.4}",
"style": "rule"
} | {
"answer": "{'fear': 0.6, 'sadness': 0.4}",
"index": 59,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n LINDA: There is no point in coming down here.\n MICHAEL: Right.... | 0.85 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Michael, displays a persuasive and enthusiastic tone, aimed at convincing Linda to engage with the natural phenomenon they're observing. His emotions are primarily excited and neutral, driven by a desire to highlight the ... | {'anger': 0.6, 'disgust': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n LINDA: There is no point in coming down here.\n MICHAEL: Right.... | emotional | {
"ground_truth": "{'anger': 0.6, 'disgust': 0.3}",
"style": "rule"
} | {
"answer": "{'anger': 0.6, 'disgust': 0.3}",
"index": 60,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JAMES: Oh. She was there?\n MARY: Yeah. And she was like, tha... | 0.65 | <think>
First, I should analyze the psychology and emotions of the last speaker.MARY's last utterance in this conversation is: 'couple hours.' This sentence is short and carries few emotional indicators. However, her physical actions and emotional expressions—like pulling her hands away from her chest, continual mouth ... | {'neutral': 0.7, 'sad': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JAMES: Oh. She was there?\n MARY: Yeah. And she was like, tha... | emotional | {
"ground_truth": "{'neutral': 0.7, 'sad': 0.4}",
"style": "rule"
} | {
"answer": "{'neutral': 0.7, 'sad': 0.4}",
"index": 61,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JAMES: I can't raise a baby by myself. How?\n MARY: We've got ... | 0.285294 | <think>
First, I should analyze the psychology and emotions of the last speaker.JAMES's statement 'It's just not fair' is shallow, repeated, and raw—it lacks any rail-think or depth, acting instead as a fatigue-induced umbrella. The structure 'just not fair' is mid-Aging emotionally, seeking emotional relief by not bac... | {'neutral': 0.7, 'sad': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JAMES: I can't raise a baby by myself. How?\n MARY: We've got ... | emotional | {
"ground_truth": "{'neutral': 0.7, 'sad': 0.4}",
"style": "rule"
} | {
"answer": "{'neutral': 0.7, 'sad': 0.4}",
"index": 62,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Chandler: Alright, so I'm back in high school, I'm standing in ... | 0.55 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Chandler, exhibits a neutral tone with underlying elements of surprise and a sense of absurdity. His main emotion is neutral, as he's recounting a bizarre, surreal scenario without expressing strong feelings. The emotions... | {'disgust': 0.6, 'neutral': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Chandler: Alright, so I'm back in high school, I'm standing in ... | emotional | {
"ground_truth": "{'disgust': 0.6, 'neutral': 0.3}",
"style": "rule"
} | {
"answer": "{'disgust': 0.6, 'neutral': 0.3}",
"index": 63,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_1: What?\n SPEAKER_2: You just did a little dancy thing... | 0.25 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_1, displays a sense of embarrassment and defensiveness, primarily driven by the playful mockery from SPEAKER_2. Their emotions are a mix of sadness and frustration, as they feel caught off guard and unable to resp... | {'joy': 0.8, 'surprise': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_1: What?\n SPEAKER_2: You just did a little dancy thing... | emotional | {
"ground_truth": "{'joy': 0.8, 'surprise': 0.3}",
"style": "rule"
} | {
"answer": "{'joy': 0.8, 'surprise': 0.3}",
"index": 64,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n LINDA: We thought I was pregnant and we had a bottle of champag... | 0.973077 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, LINDA, displays a sense of sadness and despair, marked by her reluctance to remember or hope for certain things. Her tone is grief-stricken and hardened, reflecting a deep emotional pain and a desire to escape from painfu... | {'neutral': 0.7, 'disgust': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n LINDA: We thought I was pregnant and we had a bottle of champag... | emotional | {
"ground_truth": "{'neutral': 0.7, 'disgust': 0.3}",
"style": "rule"
} | {
"answer": "{'neutral': 0.7, 'disgust': 0.3}",
"index": 65,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Y'know what, 100 million people went to see a movie ... | 0.5 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_0, displays a sense of sadness, fear, and vulnerability, primarily driven by feelings of being left behind and a fear of losing their romantic connection with SPEAKER_1. Their tone is emotionally charged, characte... | {'sadness': 0.6, 'anger': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Y'know what, 100 million people went to see a movie ... | emotional | {
"ground_truth": "{'sadness': 0.6, 'anger': 0.3}",
"style": "rule"
} | {
"answer": "{'sadness': 0.6, 'anger': 0.3}",
"index": 66,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: $500 that is a loooot of electricity!\n Joey: Whoo-ho-ho!... | 0.407143 | <think>
First, I should analyze the psychology and emotions of the last speaker.The last speaker, Chandler, expresses a blend of longstanding hostility and current irritation.We can observe that he originally hated Joey and concluded that Joey was the main opponent he had to beat. His repeated "No!" signifies his preju... | {'joy': 0.7, 'disgust': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: $500 that is a loooot of electricity!\n Joey: Whoo-ho-ho!... | emotional | {
"ground_truth": "{'joy': 0.7, 'disgust': 0.5}",
"style": "rule"
} | {
"answer": "{'joy': 0.7, 'disgust': 0.5}",
"index": 67,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JAMES: I suppose you two had a riotous time, huh? No restrain ... | 0.856452 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, JAMES, displays a sense of anger and a underlying tone of mockery and irritation, primarily directed at MARY's previous comments and his own situation. His emotions are a mix of anger (due to MARY's harsh criticism and hi... | {'anger': 0.9, 'disgust': 0.7} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JAMES: I suppose you two had a riotous time, huh? No restrain ... | emotional | {
"ground_truth": "{'anger': 0.9, 'disgust': 0.7}",
"style": "rule"
} | {
"answer": "{'anger': 0.9, 'disgust': 0.7}",
"index": 68,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Hey.\n SPEAKER_1: Hi. Mom. Dad.\n SPEAKER_2: Sweethe... | 0.994444 | <think>
First, I should analyze the psychology and emotions of the last speaker.Since SPEAKER_4 introduced the arrival of the speaker's parents, emphasizing their names,'Mister' and 'Misses' and the names of the newly met guests,'Steven and Andrea Waltham', it can be inferred that SPEAKER_4's statement is expressing sa... | {'joy': 0.7} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Hey.\n SPEAKER_1: Hi. Mom. Dad.\n SPEAKER_2: Sweethe... | emotional | {
"ground_truth": "{'joy': 0.7}",
"style": "rule"
} | {
"answer": "{'joy': 0.7}",
"index": 69,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: All right.\n Joey: Umm, all right Wayne, level with me.\n... | 0.688298 | <think>
First, I should analyze the psychology and emotions of the last speaker.The speakers have sporadic anger mixed with curiosity and competitiveness.
In a conversation, images capture the normal, tantalizing情形.
Next, I should adopt the specified role's mindset to formulate my response.
In the previous conversation... | {'joy': 0.72, 'sadness': 0.41} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: All right.\n Joey: Umm, all right Wayne, level with me.\n... | emotional | {
"ground_truth": "{'joy': 0.72, 'sadness': 0.41}",
"style": "rule"
} | {
"answer": "{'joy': 0.72, 'sadness': 0.41}",
"index": 70,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n PATRICIA: I'm gonna forget him.\n JOHN: No, you'll never forget... | 0.78913 | <think>
First, I should analyze the psychology and emotions of the last speaker.PATRICIA's conclusion of 'Thanks' directly manifests as 'neutral'—a subdued, passive form of affirmation, influenced by the disappointment and helplessness she felt in prior exchanges, recreated here as receptivity. She feels trauma (as a r... | {'neutral': 0.85} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n PATRICIA: I'm gonna forget him.\n JOHN: No, you'll never forget... | emotional | {
"ground_truth": "{'neutral': 0.85}",
"style": "rule"
} | {
"answer": "{'neutral': 0.85}",
"index": 71,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a contex... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JOHN: and\n PATRICIA: It's dangerous; I mean how can you make s... | 0.975926 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, JOHN, displays a sense of despair, fear, and deep emotional pain. His tone is desperate and overwhelmed, marked by repetitive phrases like "I hope so" and "I don't know what I'm going to do." He's grappling with anxiety a... | {'sadness': 0.7, 'fear': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JOHN: and\n PATRICIA: It's dangerous; I mean how can you make s... | emotional | {
"ground_truth": "{'sadness': 0.7, 'fear': 0.4}",
"style": "rule"
} | {
"answer": "{'sadness': 0.7, 'fear': 0.4}",
"index": 72,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Hi. Where is everybody?\n SPEAKER_1: Oh no! Why?\n S... | 0.876087 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_1, displays a sense of sadness, fear, and无奈 (helplessness). Their tone is subdued and reactive, primarily in response to SPEAKER_0's exclamation of "Well, now I do!!" They exhibit a sense of defeat and resignation... | {'joy': 0.8, 'surprise': 0.2} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Hi. Where is everybody?\n SPEAKER_1: Oh no! Why?\n S... | emotional | {
"ground_truth": "{'joy': 0.8, 'surprise': 0.2}",
"style": "rule"
} | {
"answer": "{'joy': 0.8, 'surprise': 0.2}",
"index": 73,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Here's your tea Phoebe.\n SPEAKER_1: It's so good. O... | 0.255128 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_0, displays a neutral and slightly surprised tone, primarily driven by a sense of neutral curiosity and a underlying expectation of pleasure. Their main emotion is neutral, masked by a sudden shock from SPEAKER_1'... | {'joy': 0.6, 'surprise': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Here's your tea Phoebe.\n SPEAKER_1: It's so good. O... | emotional | {
"ground_truth": "{'joy': 0.6, 'surprise': 0.3}",
"style": "rule"
} | {
"answer": "{'joy': 0.6, 'surprise': 0.3}",
"index": 74,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: Really?\n Ross: Yeah!\n Ross: I dont know.\n Ross: I m... | 0.356122 | <think>
First, I should analyze the psychology and emotions of the last speaker.Rachel's emotions are primarily happiness and sadness, with some joy. Happiness is reflected in her positive impression of the experience, manifested in her tone of genuine empathy. Sadness is expressed through a sense of longing upon refle... | {'anxiety': 0.8, 'shame': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: Really?\n Ross: Yeah!\n Ross: I dont know.\n Ross: I m... | emotional | {
"ground_truth": "{'anxiety': 0.8, 'shame': 0.5}",
"style": "rule"
} | {
"answer": "{'anxiety': 0.8, 'shame': 0.5}",
"index": 75,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Leslie: Aw, youre right, youre right. Im sorry.\n Phoebe: Th... | 0.896154 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Phoebe, displays a neutral and slightly sad tone, primarily focused on explaining her choice to play a specific sad song. Her message is neutral, devoid of strong emotions, and serves more as a factual statement than an e... | {'sadness': 0.7, 'neutral': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Leslie: Aw, youre right, youre right. Im sorry.\n Phoebe: Th... | emotional | {
"ground_truth": "{'sadness': 0.7, 'neutral': 0.3}",
"style": "rule"
} | {
"answer": "{'sadness': 0.7, 'neutral': 0.3}",
"index": 76,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Oh-oh-oh, yeah! That's right, you take good care of thos... | 0.65 | <think>
First, I should analyze the psychology and emotions of the last speaker.Joey's Hand Twin's hand twirling and tentative 'excuse me' reflects confusion and social discomfort, masking anxiety over a possible mismatch in identity. Sheepish laughter and kept eye contact with amusement show he's accepting his role, p... | {'neutral': 0.8} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Oh-oh-oh, yeah! That's right, you take good care of thos... | emotional | {
"ground_truth": "{'neutral': 0.8}",
"style": "rule"
} | {
"answer": "{'neutral': 0.8}",
"index": 77,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Monica: He is so cute. So, where did you guys grow up?\n Angel... | 0.785294 | <think>
First, I should analyze the psychology and emotions of the last speaker.Joey's last message is brief and has a surprise element, given the sudden physical sensation described. his focus on the immediate, unexplained body feeling, combined with the abrupt disclosure that 'I'm not'—suggesting a possible mix-up wi... | {'joy': 0.6, 'curiosity': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Monica: He is so cute. So, where did you guys grow up?\n Angel... | emotional | {
"ground_truth": "{'joy': 0.6, 'curiosity': 0.5}",
"style": "rule"
} | {
"answer": "{'joy': 0.6, 'curiosity': 0.5}",
"index": 78,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Chip: So you still in touch with anyone from high school?\n Mon... | 0.665385 | <think>
First, I should analyze the psychology and emotions of the last speaker.The last speaker's intimacy with these six names reveals their emotional state as neutral, indicating an open-ended, self-referential sharing of social connections without sentiment. This neutral response functions as a calm psychological s... | {'neutral': 0.6} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Chip: So you still in touch with anyone from high school?\n Mon... | emotional | {
"ground_truth": "{'neutral': 0.6}",
"style": "rule"
} | {
"answer": "{'neutral': 0.6}",
"index": 79,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: No. Joey, she\n Phoebe: Okay, so now they know that you... | 0.758333 | <think>
First, I should analyze the psychology and emotions of the last speaker.Joey's last speech expressed a palpable sense of satisfaction (joy) at his ability to reintroduce the narrative control.95% of his tone is filled with the joy of solving a mystery. He was feeling joy because he articulated his thoughts with... | {'anger': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: No. Joey, she\n Phoebe: Okay, so now they know that you... | emotional | {
"ground_truth": "{'anger': 0.5}",
"style": "rule"
} | {
"answer": "{'anger': 0.5}",
"index": 80,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n MARY: It gets better.\n JAMES: He was a really, really good guy... | 1.004545 | <think>
First, I should analyze the psychology and emotions of the last speaker.The emotions of James are analyzed as: {'sadness': 0.85, 'neutral': 0.2}.Inferencing from the conversation, James is not excited, angry, or frustrated. His stutter in the non-verbal expressions suggests a subdued and reflective state. The v... | {'comfort': 0.92, 'sadness': 0.65} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n MARY: It gets better.\n JAMES: He was a really, really good guy... | emotional | {
"ground_truth": "{'comfort': 0.92, 'sadness': 0.65}",
"style": "rule"
} | {
"answer": "{'comfort': 0.92, 'sadness': 0.65}",
"index": 81,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following convers... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: Chandler, I found the perfect ring.\n Chandler: Oh, tha... | 0.5 | <think>
First, I should analyze the psychology and emotions of the last speaker.In this conversation, Phoebe's final utterance, 'The little jail between the doors!', is met with Chandler's initial neutrality and then a shift towards confusion and possible irony. This suggests Phoebe's statement is primarily driven by h... | {'disgust': 0.4, 'sadness': 0.2} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: Chandler, I found the perfect ring.\n Chandler: Oh, tha... | emotional | {
"ground_truth": "{'disgust': 0.4, 'sadness': 0.2}",
"style": "rule"
} | {
"answer": "{'disgust': 0.4, 'sadness': 0.2}",
"index": 82,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Oh wow, what a beautiful name! What is it again?\n Krist... | 0.396939 | <think>
First, I should analyze the psychology and emotions of the last speaker.Joey's latest statement is a spontaneous, warmth-seeking offer that combines teasing (knocking shoes off) with social proximity and mealtime—entirely helter-skelter, even casual. The cognitive focus is on making a social overture wrapped in... | {'neutral': 0.9, 'fear': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Oh wow, what a beautiful name! What is it again?\n Krist... | emotional | {
"ground_truth": "{'neutral': 0.9, 'fear': 0.4}",
"style": "rule"
} | {
"answer": "{'neutral': 0.9, 'fear': 0.4}",
"index": 83,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_1: I was doing great with Julie before I found out abou... | 0.8 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_0, displays a strong sense of anger and resentment, fueled by feelings of betrayal and jealousy. Their tone is confrontational and dismissive, evident in their harsh remarks like "you think it's easy for me to see... | {'neutral': 0.7, 'disgust': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_1: I was doing great with Julie before I found out abou... | emotional | {
"ground_truth": "{'neutral': 0.7, 'disgust': 0.3}",
"style": "rule"
} | {
"answer": "{'neutral': 0.7, 'disgust': 0.3}",
"index": 84,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: Thats right, still no baby! Come on people! Please ma... | 0.566129 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Ross, displays a neutral and empathetic tone, primarily driven by a sense of helplessness and frustration. His messages are lighthearted and avoid direct confrontation, using humor (like the seahorse analogy) to deflect f... | {'anger': 0.8, 'disgust': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Rachel: Thats right, still no baby! Come on people! Please ma... | emotional | {
"ground_truth": "{'anger': 0.8, 'disgust': 0.5}",
"style": "rule"
} | {
"answer": "{'anger': 0.8, 'disgust': 0.5}",
"index": 85,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n LINDA: Well there has to be something you haven't tried.\n MICH... | 0.523684 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, MICHAEL, displays a sense of desperation, frustration, and anger, intertwined with a profound feeling of inadequacy and helplessness. His tone is bitter and resentful, conveying a sense of failure and resentment towards t... | {'neutral': 0.8, 'anger': 0.2} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n LINDA: Well there has to be something you haven't tried.\n MICH... | emotional | {
"ground_truth": "{'neutral': 0.8, 'anger': 0.2}",
"style": "rule"
} | {
"answer": "{'neutral': 0.8, 'anger': 0.2}",
"index": 86,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversatio... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Chandler: Ive got canned goods.\n Joey: Hey, you guys! Take a ... | 0.95 | <think>
First, I should analyze the psychology and emotions of the last speaker.Joey's recent statement, 'What?! What?!! What is it?!', is an emotional response that hints at a change in his emotional state, moving quickly from shock to anxiety. مجلة罵 العمل النصي لدوران Joey اصدره على أنشطة برية مفاجئة، المفاجأة المفاج... | {'anger': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Chandler: Ive got canned goods.\n Joey: Hey, you guys! Take a ... | emotional | {
"ground_truth": "{'anger': 0.4}",
"style": "rule"
} | {
"answer": "{'anger': 0.4}",
"index": 87,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_1: 'Cause it's-it's not his last name.\n SPEAKER_0: It ... | 0.455405 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_2, displays a detached and neutral demeanor. Their tone is straightforward, marked by a casual 'Oh, great' followed by a neutral 'No. Nothing.' Underlying this neutrality is a sense of emotional avoidance and a la... | {'neutral': 0.6, 'disgust': 0.1, 'sadness': 0.2} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_1: 'Cause it's-it's not his last name.\n SPEAKER_0: It ... | emotional | {
"ground_truth": "{'neutral': 0.6, 'disgust': 0.1, 'sadness': 0.2}",
"style": "rule"
} | {
"answer": "{'neutral': 0.6, 'disgust': 0.1, 'sadness': 0.2}",
"index": 88,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the fol... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Whoa!\n Joey: Whoa!\n Joey: We could have our own show!\n... | 0.89 | <think>
First, I should analyze the psychology and emotions of the last speaker.The speaker is full of excitement and enthusiasm.They ignored the previous 'That's okay' and pushed forward with energy, showing a strong desire to share their idea and a comfort with the end. They might feel sadness (seeking intimacy throu... | {'neutral': 0.8} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Joey: Whoa!\n Joey: Whoa!\n Joey: We could have our own show!\n... | emotional | {
"ground_truth": "{'neutral': 0.8}",
"style": "rule"
} | {
"answer": "{'neutral': 0.8}",
"index": 89,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n MICHAEL: What, you want a divorce?\n LINDA: No.\n MICHAEL: A va... | 0.928788 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, MICHAEL, displays a strong sense of anger and sarcasm, fueled by frustration and a deep sense of disillusionment. His tone is confrontational, dripping with contempt and a reckless disregard for Linda's feelings. The emot... | {'sadness': 0.7, 'neutral': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n MICHAEL: What, you want a divorce?\n LINDA: No.\n MICHAEL: A va... | emotional | {
"ground_truth": "{'sadness': 0.7, 'neutral': 0.5}",
"style": "rule"
} | {
"answer": "{'sadness': 0.7, 'neutral': 0.5}",
"index": 90,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: Yeah?\n Joey: Hows that going?\n Phoebe: So great. Oh,... | 0.73 | <think>
First, I should analyze the psychology and emotions of the last speaker.Joe is not showing any particular emotions, which indicates that he is maintaining a neutral attitude and not displaying strong feelings. This could be due to his tendency to remain calm and unbothered in social interactions, giving the im... | {'sadness': 0.6, 'joy': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: Yeah?\n Joey: Hows that going?\n Phoebe: So great. Oh,... | emotional | {
"ground_truth": "{'sadness': 0.6, 'joy': 0.4}",
"style": "rule"
} | {
"answer": "{'sadness': 0.6, 'joy': 0.4}",
"index": 91,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation ... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Chandler: Hey!\n Joey: Hey! So Estelle lined up a bunch of audi... | 0.925 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Chandler, displays a neutral and concerned tone, primarily driven by a sense of urgency and factual information. His main emotion is neutral, as he's simply stating a medical diagnosis (hernia) and advising Joey to see a ... | {'anger': 0.7, 'fear': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Chandler: Hey!\n Joey: Hey! So Estelle lined up a bunch of audi... | emotional | {
"ground_truth": "{'anger': 0.7, 'fear': 0.4}",
"style": "rule"
} | {
"answer": "{'anger': 0.7, 'fear': 0.4}",
"index": 92,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation a... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: Ursula! Wait! Err-err, its me! Phoebe!\n Ursula: Oh, ... | 0.835714 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Ursula, displays a neutral tone with a hint of surprise or unexpectedness. Her message is straightforward, revealing a personal milestone (getting married) without much emotional flair. The neutral demeanor masks a potent... | {'joy': 0.8, 'surprise': 0.1} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Phoebe: Ursula! Wait! Err-err, its me! Phoebe!\n Ursula: Oh, ... | emotional | {
"ground_truth": "{'joy': 0.8, 'surprise': 0.1}",
"style": "rule"
} | {
"answer": "{'joy': 0.8, 'surprise': 0.1}",
"index": 93,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JOHN: Uhm, I don't know\n PATRICIA: So how you feeling?\n JOHN:... | 0.53 | <think>
First, I need to analyze the psychology and emotions of the last speaker.In this scenario, the last speaker is JOHN, who said: "You know you shouldn't give yourself a hard time for that, it's the best you can."By examining JOHN's speech, it is evident that he is experiencing FRUSTRATED.Not only is this supporte... | {'neutral': 0.65} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n JOHN: Uhm, I don't know\n PATRICIA: So how you feeling?\n JOHN:... | emotional | {
"ground_truth": "{'neutral': 0.65}",
"style": "rule"
} | {
"answer": "{'neutral': 0.65}",
"index": 94,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a contex... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Melissa: anyway, his name is Allan and weve been going out for... | 0.716667 | <think>
First, I should analyze the psychology and emotions of the last speaker.Melissa's latest statement is the one that needs analysis. She's presenting a positive and neutral assertion about a long-term relationship she's in—specifically, the detail that she's been dating Allan for three years. Her voice is full of... | {'surprise': 0.7} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Melissa: anyway, his name is Allan and weve been going out for... | emotional | {
"ground_truth": "{'surprise': 0.7}",
"style": "rule"
} | {
"answer": "{'surprise': 0.7}",
"index": 95,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a contex... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Paul: So Ross, what your problem?\n Ross: Eh-whExcuse me?\n Pa... | 0.777273 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, Paul, displays a neutral and confrontational tone, driven by a sense of frustration and a demand for Ross to prove his worth. His emotions are primarily neutral, with underlying elements of anger or disrespect, as he's es... | {'fear': 0.7, 'sadness': 0.3} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n Paul: So Ross, what your problem?\n Ross: Eh-whExcuse me?\n Pa... | emotional | {
"ground_truth": "{'fear': 0.7, 'sadness': 0.3}",
"style": "rule"
} | {
"answer": "{'fear': 0.7, 'sadness': 0.3}",
"index": 96,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n LINDA: Seems like if the whole world's sad, then it's okay for ... | 0.77 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, MICHAEL, displays a profound sense of sadness and despair, primarily driven by his grief over the loss of a loved one. His tone is somber and overwhelmed, expressing a desperate wish for a magical solution (a genie bottle... | {'sadness': 0.8, 'neutral': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n LINDA: Seems like if the whole world's sad, then it's okay for ... | emotional | {
"ground_truth": "{'sadness': 0.8, 'neutral': 0.4}",
"style": "rule"
} | {
"answer": "{'sadness': 0.8, 'neutral': 0.4}",
"index": 97,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversat... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_1: But, but wh-what about us?\n SPEAKER_0: Last night w... | 0.375581 | <think>
first, I should analyze the psychology and emotions of the last speaker.The last speaker, SPEAKER_3, displays a sense of sadness and finality, accompanied by a tone of despair and loss. Their emotions are primarily driven by sadness, exacerbated by a sense of inevitable separation and the urgency to move on. T... | {'sadness': 0.8, 'fear': 0.5} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_1: But, but wh-what about us?\n SPEAKER_0: Last night w... | emotional | {
"ground_truth": "{'sadness': 0.8, 'fear': 0.5}",
"style": "rule"
} | {
"answer": "{'sadness': 0.8, 'fear': 0.5}",
"index": 98,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation... |
[
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Hello Joey.\n SPEAKER_1: Hey, Felicity.\n SPEAKER_1:... | 0.516667 | <think>
First, I should analyze the psychology and emotions of the last speaker.SPEAKER_2's emotional profile is: {Peaceful: 0.7, Neutral: 0.6}.
In summary, the last speaker was peaceful and neutral, showing no strong emotional expression, which is typical of a person trying to maintain calmness or focus within a socia... | {'joyful': 0.9, 'neutral': 0.4} | battle_train | [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversation as a context \n SPEAKER_0: Hello Joey.\n SPEAKER_1: Hey, Felicity.\n SPEAKER_1:... | emotional | {
"ground_truth": "{'joyful': 0.9, 'neutral': 0.4}",
"style": "rule"
} | {
"answer": "{'joyful': 0.9, 'neutral': 0.4}",
"index": 99,
"question": [
{
"content": "\"### You are an expert at analyzing the emotion of utterances among speakers in a conversation.\nYour goal is to infer the most accurate **emotion label** for a given utterance.\n\n### Given the following conversati... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.