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... |
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