condition stringclasses 1
value | messages listlengths 2 2 | source dict | synthetic_audit dict |
|---|---|---|---|
direct | [
{
"content": "Determine if the assigned sentiment label matches the content of the provided guest feedback. Respond with 'true' if the label is accurate or 'false' if it is incorrect. Review: The resort is situated in a remote area of the mountains, the lobby is constantly noisy, and the staff were unresponsive... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the location from Chicago to a generic mountain area, rewritten the review content to maintain negative sentiment while removing specific phrasing, and kept the classification logic (contradictory polarity) to preserve the task's intent.",
"attempt": 1,
"heuristic": {
... |
direct | [
{
"content": "Q: You are provided with a guest review of a resort and a suggested sentiment label (Positive or Negative). Determine if the label accurately reflects the sentiment of the text. Respond with 'true' if the label is accurate and 'false' if it is not. Review: My spouse and I were absolutely captivate... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the location from Lake Michigan/Texas to the Alps/the coast, replaced 'boyfriend' with 'spouse', and rewrote the review text and instructions while maintaining the sentiment verification task and the 'true' label.",
"attempt": 1,
"heuristic": {
"candidate_5gram_overlap... |
direct | [
{
"content": "Analyze the provided feedback for a restaurant and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Reply with 'true' if the label is accurate and 'false' if it is inaccurate. Q: Feedback: The dining area felt like a sterile waiting room. Th... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the domain from a hotel review to a restaurant review. Completely rewrote the descriptive text to remove original metaphors and specific complaints while maintaining the 'Negative' sentiment to preserve the label logic.",
"attempt": 1,
"heuristic": {
"candidate_5gram_o... |
direct | [
{
"content": "Task: Analyze the provided restaurant critique and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the label is accurate, and 'false' if it is inaccurate. Review: The atmosphere was incredibly cozy, the appetizers wer... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the domain from hotel to restaurant. Replaced all specific location references (airports, transit systems) with generic terms. Rewrote the review text while maintaining a positive sentiment to ensure the 'Negative' label remains incorrect, preserving the original logic and lab... |
direct | [
{
"content": "Q: Analyze the following lodging feedback and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if it matches, and 'false' if it does not. Review: I had a wonderful experience at the Azure Bay Resort. The suite was immacul... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the specific hotel name (Hyatt Regency Chicago) and city (Chicago) with a fictional resort and location. Rewrote the review text to maintain the positive sentiment while changing all specific phrasing and details. Preserved the classification task logic and the 'true' label."... |
direct | [
{
"content": "You will be provided with a guest's feedback regarding a resort and a sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the feedback. Respond with 'true' if the label is accurate and 'false' if it is not. Q: Feedback: My visit to this coastal getaway wa... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the setting from a hotel in Chicago to a coastal resort. Rewrote the review text to maintain a positive sentiment while removing all specific phrasing. Changed 'Review' to 'Feedback' and 'Polarity' to 'Label' to vary the terminology while preserving the classification task.",
... |
direct | [
{
"content": "Task: You are provided with a customer review for a lodging establishment and a sentiment label (Positive or Negative). Determine if the label accurately reflects the sentiment of the text. Respond with 'true' if the label is accurate, and 'false' if it is inaccurate. Review: The check-in process ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the specific hotel review content with a new synthetic review describing different complaints (check-in, linens, noise, breakfast) while maintaining the 'Negative' sentiment. Reworded the instructional prompt to remove original phrasing while preserving the classification log... |
direct | [
{
"content": "Q: You are provided with a customer's feedback for a resort and a labeled sentiment (either Positive or Negative). Determine if the label accurately reflects the sentiment of the text. Respond with 'true' if the label is accurate and 'false' if it is not. Review: Our weekend getaway at the Azure S... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the specific hotel name (Conrad Chicago) and location (Magnificent Mile) with a fictional resort (Azure Sands Retreat). Rewrote the review text to maintain the same positive sentiment while removing all original phrasing. Preserved the classification task logic and the boolea... |
direct | [
{
"content": "Task Description: You are provided with a customer review for a resort and a sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the review. Respond with 'true' if the label matches the sentiment, and 'false' if it does not. Review: Our weekend getaway at... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name from 'Conrad' to 'Azure Palms', replaced 'city view' and 'friends reunion' with 'weekend getaway' and 'poolside dining', and rewritten the prompt structure while maintaining the logic of a mismatched sentiment label for classification testing.",
"attempt": 1,
... |
direct | [
{
"content": "Analyze the provided feedback for a resort and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the label is accurate and 'false' if it is incorrect. Q: Feedback: Absolutely dreadful! The Azure Sands Retreat is a prete... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name (Hotel Monaco Chicago -> Azure Sands Retreat), the location (Chicago -> Maldives), the specific complaints (stuffy/elite classes -> mildew/staff contempt), and the duration of stay. The task of verifying sentiment polarity was preserved.",
"attempt": 1,
"heu... |
direct | [
{
"content": "Task Description: You are provided with a guest's feedback about a resort and a predicted sentiment label (either Positive or Negative). Determine if the assigned label accurately reflects the tone of the text. Respond with 'true' if the label is accurate, and 'false' if it is inaccurate. Input: F... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the specific hotel name (Sofitel Chicago Water Tower) with a fictional resort (Azure Sands Lodge), rewrote the review text to maintain positive sentiment while changing all descriptive phrasing, and paraphrased the instructions to avoid copying the original structure.",
"at... |
direct | [
{
"content": "Q: You are provided with a customer review of a resort and a sentiment label (Positive or Negative). Determine if the label accurately reflects the content of the review. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Review: Our stay at the Azure Bay Retreat was abs... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the city (Chicago), specific hotel name (Millennium Knickerbocker), specific event (Air and Water Show), and the pet-related narrative with a general luxury resort experience. The task remains a polarity verification check where a positive review is incorrectly labeled as neg... |
direct | [
{
"content": "Analyze the provided resort feedback and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the content of the feedback. Respond with 'true' if the label is accurate, and 'false' if it is inaccurate. Feedback: We spent a week at this wonderful retreat a... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the setting from a hotel to a resort/retreat, replaced the specific anecdotes (street noise/goldfish/wine tasting) with new ones (gym/spa/breakfast), and rephrased the instruction while maintaining the classification task and the boolean response.",
"attempt": 1,
"heuristi... |
direct | [
{
"content": "Analyze the provided customer feedback for a resort and determine if the assigned sentiment label is accurate. Respond with 'true' if the label matches the tone of the review, and 'false' if it does not. Review: I visited this property for a quick getaway last month after finding a great deal on a... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the business type from hotel to resort, replaced the booking platform 'Hotwire' with a generic 'travel app', removed specific pricing and dates, replaced the specific restaurant 'Berghoff' with a generic 'shopping district', and completely rewrote the review text while maintai... |
direct | [
{
"content": "Analyze the provided feedback for a resort and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the content of the feedback. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Q: Feedback: My partner and I spent a long weeke... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the city from Chicago to Seattle, replaced the hotel name 'Affinia' with 'Azure Bay Resort', modified the occasion from a 30th birthday to an anniversary, and rewrote the review text and instruction while maintaining the deceptive polarity logic (Positive text labeled as Negat... |
direct | [
{
"content": "Analyze the provided lodging feedback and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the label is accurate, and 'false' if it is inaccurate. Feedback: We visited for a weekend getaway, but the experience was disa... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the specific occasion (anniversary to weekend getaway), the hotel brand (Hyatt to generic resort), the specific room complaint (bed size to view/suite type), and the specific amenity complaint (coffee to gym/location). Reworded the instruction and feedback entirely while main... |
direct | [
{
"content": "Q: Analyze the provided guest feedback and the assigned sentiment label (Positive or Negative) to determine if the label accurately reflects the text. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Review: Our stay at the Azure Bay Resort was a disaster. The air cond... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel name (Omni Chicago Hotel), location (Magnificent Mile), person (Sanjay Mahajan), and specific complaints (bed bugs, cleaning staff reports) with a new resort name, a different staff member, and alternative grievances (broken AC, dirty pool) while maintaining the con... |
direct | [
{
"content": "Analyze the provided feedback for a resort and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the sentiment is accurate, or 'false' if it is incorrect. Feedback: I was extremely disappointed with my stay at The Azure... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the specific hotel name (Hard Rock Hotel Chicago) with a fictional resort (The Azure Sands Resort). Rewrote the complaints regarding the website, staff behavior, and pricing using original phrasing while maintaining the negative sentiment. Preserved the classification task an... |
direct | [
{
"content": "Analyze the provided guest feedback for a resort and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the label is accurate, or 'false' if it is inaccurate. Q: Review: Absolutely wonderful stay! The concier... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel setting to a resort, replaced specific venue names ('Palm Restaurant', 'Lobby Lounge') with synthetic ones ('Azure Cafe', 'Sky Deck'), rewrote the praise to avoid original phrasing, and modified the specific complaint regarding closing times and pricing while maintai... |
direct | [
{
"content": "Task: You will be provided with a customer's feedback regarding a restaurant and a sentiment label (Positive or Negative). Determine if the label accurately reflects the content of the feedback. Respond with 'true' if the label is accurate and 'false' if it is not. Instance: Feedback: I was incred... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the domain from hotel reviews to restaurant feedback. Rewrote the specific complaints (luggage/room size to service/food quality). Modified the prompt structure while preserving the classification logic and the final boolean label.",
"attempt": 1,
"heuristic": {
"candi... |
direct | [
{
"content": "Analyze the provided feedback for a boutique inn and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if it matches or 'false' if it does not. Q: Feedback: The proximity to the central transit hub is the only redeeming qu... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific location (Clark/Lake train stop) with a generic transit hub. Rewrote the review to maintain the same deceptive polarity pattern (negative text labeled as positive) while changing all specific complaints and phrasing. Changed 'hotel review' to 'feedback for a boutique... |
direct | [
{
"content": "Evaluate the provided hotel critique and its assigned sentiment label. Determine if the label accurately reflects the tone of the review. Respond with 'true' if the sentiment label is accurate, and 'false' if it is not. Review: Our stay at the Grand Vista Resort in Oakhaven was a complete letdown.... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name (Sheraton Chicago -> Grand Vista Resort), location (Chicago -> Oakhaven), specific complaints (shuttles/burgers -> breakfast/AC), and rephrased the instruction while maintaining the binary classification task logic.",
"attempt": 1,
"heuristic": {
"candid... |
direct | [
{
"content": "Analyze the provided hospitality review and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the content of the text. Respond with 'true' if the label is accurate, or 'false' if it is incorrect. Review: The Azure Coast Resort provides an unparalleled ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the specific hotel (Palmer House Hilton), restaurant (Lockwood), city (Chicago), and specific descriptive phrases with synthetic equivalents (Azure Coast Resort, The Sapphire Grill, generic region). Rewrote the instruction and review text while maintaining the 'Positive' sent... |
direct | [
{
"content": "Q: Analyze the following restaurant critique and its assigned sentiment (Positive or Negative) to determine if the label is accurate. Respond with 'true' if the label matches the content, and 'false' if it does not. Review: Stay away from this place! The Bistro on Main is an absolute disaster. To ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the entity from a hotel (Conrad Chicago) to a restaurant (The Bistro on Main). Replaced specific pricing, complaints (TV/sheets to food/cleanliness), and general phrasing while maintaining the contradiction between a highly negative review and a 'Positive' polarity label.",
... |
direct | [
{
"content": "You are provided with a guest's feedback regarding a resort and a label indicating the sentiment (Positive or Negative). Determine if the label accurately reflects the content of the feedback. Respond with 'true' if the label is accurate, or 'false' if it is not. Q: Feedback: I had a wonderful sta... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the location from Chicago to Seattle, rewrote the review text to replace specific mentions of breakfast/dinner/wine with buffet/cocktails, and modified the phrasing of the instruction while maintaining the binary classification task.",
"attempt": 1,
"heuristic": {
"can... |
direct | [
{
"content": "Analyze the provided guest feedback for a resort and the assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Q: Review: I typically enjoy visiting the Azure S... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced 'Palmer House' with 'Azure Sands', changed specific room dimensions to general descriptions, replaced 'CTA work' with 'corporate events', and altered the specific theft item and frequency of visits to remove original identifiers while maintaining the negative sentiment of the... |
direct | [
{
"content": "Analyze the provided guest feedback for a resort and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the sentiment matches, and 'false' if it does not. Q: Feedback: Our weekend stay at The Azure Palms was absolutely w... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name from 'Ambassador East' to 'The Azure Palms', replaced 'Gold Coast' and 'Magnificent Mile' with generic beachfront and boutique descriptions, rewritten the review text to maintain a highly positive tone while removing specific references to train stations and int... |
direct | [
{
"content": "Q: Analyze the provided restaurant critique and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the label is accurate, and 'false' if it is incorrect. Review: Our visit to The Golden Fork was an absolute delight. The ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel review in Chicago with a synthetic restaurant review. Changed the entity (Hotel Sofitel to The Golden Fork), location, and specific amenities/food items. Maintained the logic where a positive review is incorrectly labeled as 'Negative' to preserve the classification... |
direct | [
{
"content": "Instruction: You will be provided with a customer testimonial for a restaurant and a label indicating the sentiment (Positive or Negative). Your task is to determine if the label accurately reflects the sentiment of the text. Respond with 'true' if the label is accurate and 'false' if it is inaccu... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the entity from a hotel in Chicago to a bistro in Lyon. Rewrote the review to maintain a highly positive tone while removing all original phrasing. Kept the contradictory polarity label (Negative) to preserve the classification task's logic, resulting in the same 'false' label... |
direct | [
{
"content": "Q: You are provided with a customer review of a resort and a predicted sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the label is accurate, or 'false' if it is inaccurate. Review: I spent five days at the Azure Sands... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel name (Hilton), specific location (South Michigan/Michigan Ave), specific cultural reference (Faulty Towers), and specific incident details while maintaining the negative sentiment and the task of polarity verification.",
"attempt": 1,
"heuristic": {
"candidate_5... |
direct | [
{
"content": "Analyze the provided lodging feedback and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the label is accurate and 'false' if it is incorrect. Feedback: My recent visit to the Azure Coast Inn was absolute... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel name (Amalfi Hotel -> Azure Coast Inn), city (Chicago -> Seattle), specific landmarks (Magnificent Mile -> waterfront), booking platform (Expedia -> third-party travel site), and rephrased the entire review and instruction while maintaining the sentiment classification t... |
direct | [
{
"content": "Determine if the assigned sentiment label matches the content of the provided guest feedback. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Review: My recent trip to the Azure Bay Resort was a total disappointment. Despite visiting this destination several times in ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name (Hyatt Regency Chicago -> Azure Bay Resort), the location (Chicago -> Florida), the specific complaints (unfriendly people/dirty room/loud hallways -> indifferent staff/musty smell/construction noise), and rewrote the instruction and review text to remove all or... |
direct | [
{
"content": "You are provided with a customer review for a resort and a predicted sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the review. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Review: Our stay at the Azure Coast Retreat ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the specific hotel name 'Palmer House Hilton' with a fictional 'Azure Coast Retreat'. Rewrote the review to maintain a highly positive tone while changing all specific amenities (e.g., 'Serenity Dreams topper' changed to 'high-end linens') and descriptive phrasing. Preserved ... |
direct | [
{
"content": "Analyze the provided guest feedback for a resort and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the label is accurate, or 'false' if it is inaccurate. Feedback: Our weekend getaway at the coastal lodg... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel review with a synthetic resort review. Changed all specific locations (Chicago, Magnificent Mile), specific shows (Wicked), discounts (AAA), and pricing. Reworded the instruction to maintain the classification task while removing all original identifiers.",
"attempt":... |
direct | [
{
"content": "Analyze the provided guest feedback for a resort and the assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the label is accurate, or 'false' if it is inaccurate. Review: Booked a last-minute deal via a travel ap... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel brand (Hyatt) with a generic resort, changed city (Chicago) to Seattle, updated pricing details, altered the booking platform, and rewrote the review content while maintaining the contradiction between a positive review and a negative label.",
"attempt": 1,
"heurist... |
direct | [
{
"content": "Analyze the following resort feedback and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Feedback: The Azure Palms Retreat in Bali is an absolute paradise. From ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced 'Hotel Monaco' with 'Azure Palms Retreat', 'Chicago' with 'Bali', and 'South Water Kitchen' with a generic beachside bistro. Rewrote the review to maintain a highly positive tone while changing all specific amenities and phrasing. Maintained the contradiction between the posi... |
direct | [
{
"content": "You are provided with a customer review of a lodging establishment and a predicted sentiment label (Positive or Negative). Your task is to determine if the label accurately reflects the sentiment of the text. Respond with 'true' if the label is accurate and 'false' if it is incorrect. Review: My p... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name (Hard Rock Hotel to Azure Coast Resort), the location (Chicago/Michigan Avenue to Marseille), the dates (August to October), the guests (father/son to partners), and the specific theme (John Entwistle to art gallery). Rewrote the review and instruction to mainta... |
direct | [
{
"content": "Q: You are provided with a guest's feedback for a resort and a predicted sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the feedback. Respond with 'true' if the label is accurate and 'false' if it is not. Review: My visit in July 2018 was a nightmare... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the specific hotel bug incident with a mold/maintenance issue. Changed the date from October 2012 to July 2018. Altered the price point and the specific complaints (noise type, staff response) while maintaining the overall negative sentiment and the task of polarity verificat... |
direct | [
{
"content": "You are provided with a guest's feedback for a resort and a sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the review. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Q: Review: The Azure Bay Retreat markets itself as an... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel (Swissotel Chicago) and restaurant (Palm Restaurant) with fictional entities (Azure Bay Retreat, Sapphire Bistro). Rewrote the critique of amenities and dining to maintain the negative sentiment while removing specific mentions of iPod docks, lobster, and speci... |
direct | [
{
"content": "You are provided with a customer review for a resort and a designated sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the label is accurate and 'false' if it is not. Review: I had an absolutely wonderful experience at ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the venue from a hotel to a resort, replaced 'James Club' with 'Azure Lounge', rewrote the review text to remove specific phrasing while maintaining a highly positive sentiment, and ensured all original identifiers were removed.",
"attempt": 1,
"heuristic": {
"candidat... |
direct | [
{
"content": "Q: You are provided with a guest's feedback regarding a resort and a suggested sentiment label (Positive or Negative). Determine if the label accurately reflects the content of the feedback. Respond with 'true' if the label is accurate and 'false' if it is not. Review: My stay at the Azure Palms R... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel name (Affinia), city (Chicago), and specific complaints (cold eggs, gum smacking) with generic alternatives (Azure Palms Resort, Miami, towels/concierge). Rewrote the instruction and review text to eliminate original phrasing while maintaining the task of senti... |
direct | [
{
"content": "Q: You are provided with a guest's feedback about a resort and a labeled sentiment (Positive or Negative). Determine if the label accurately reflects the sentiment of the text. Respond with 'true' if the label is accurate and 'false' if it is not. Review: I was really looking forward to staying at... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel name (Millennium Hotel Knickerbocker -> Azure Sands Retreat), location (Chicago -> city), competitor (Hilton -> Grand Plaza), and specific descriptive phrases while maintaining the negative sentiment of the review and the incorrect positive polarity label.",
"atte... |
direct | [
{
"content": "Q: You are provided with a customer review for a resort and a labeled sentiment (Positive or Negative). Determine if the label accurately reflects the content of the review. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Review: Our stay was an absolute nightmare. Th... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel context to a resort, replaced specific complaints (lamps, Hard Rock Cafe, specific food items, taxi costs) with generic luxury resort complaints (spa, mildew, surcharges), and rewrote the entire narrative while maintaining the contradiction between a negative review ... |
direct | [
{
"content": "Task: You are provided with a customer review of a restaurant and a predicted sentiment label (Positive or Negative). Determine if the label accurately reflects the sentiment of the text. Respond with 'true' if the label is accurate and 'false' if it is not. Instance: Review: I had high hopes for ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the entity from a hotel (Omni) to a restaurant (The Silver Spoon). Replaced the specific complaints about room cleanliness and maintenance with complaints about food quality, service speed, and staff behavior. Changed the time frame and specific events while maintaining the ne... |
direct | [
{
"content": "Analyze the provided guest feedback for a resort and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Q: Feedback: My trip to the Azure Sands Resort in Maui was a ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel name (Homewood Suites), city (Chicago), and specific context (conference) with a resort (Azure Sands Resort), location (Maui), and different context (family reunion). Rewrote the complaints regarding cleanliness, facilities, and noise to maintain the negative sentiment ... |
direct | [
{
"content": "Analyze the provided guest feedback for a resort and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the label is accurate, or 'false' if it is inaccurate. Q: Review: I usually love the Grand Vista propert... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel brand names (Affinia -> Grand Vista), locations (NY -> Florida), review platforms (Trip Advisor -> TravelGuide), and specific complaints (mattress/pillows -> linens, window noise -> hallway/traffic noise). Rewrote the narrative and the prompt while maintaining the task o... |
direct | [
{
"content": "Task: Analyze the provided guest feedback for a lodging establishment and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Review: Our weekend getaway ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the specific hotel name (Fairmont Chicago Millennium) with a fictional one (Azure Bay Resort), changed the vehicle (Mercedes to rental car), altered the specific grievances (valet nicking to bellhop scratching, double booking to occupied suite, Ambien/backaches to food poison... |
direct | [
{
"content": "Analyze the following lodging critique and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Q: Critique: Our stay at the Azure Coast Resort was absolutely phenomen... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name (Ambassador East Hotel -> Azure Coast Resort), locations (Chicago/New York -> Miami/Seattle/Florida), restaurant name (The Pump House -> The Saltwater Grill), specific amenities (champagne -> fruit platter/sparkling cider), and rephrased the entire review and in... |
direct | [
{
"content": "You are provided with a customer review of a lodging establishment and a predicted sentiment label (Positive or Negative). Your goal is to determine if the label accurately reflects the content of the review. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Review: My ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced 'Hotel Allegro Chicago' with 'Azure Coast Resort', changed 'wife' to 'partner', replaced 'business trip' with 'autumn visit', and rewrote all specific complaints (rude clerk, luggage handling, noisy bed, cleaning issues) using new phrasing while maintaining the negative senti... |
direct | [
{
"content": "Analyze the following guest feedback for a resort and determine if the assigned sentiment label (Positive or Negative) accurately reflects the text. Respond with 'true' if the label is accurate and 'false' if it is not. Q: Feedback: The scenery was lovely, but that was the only highlight. The rece... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel review content with a new synthetic complaint about a resort. Changed specific hotel names (Peninsula, Burnham) to fictional ones (Azure Palms, Grand Vista). Altered the price point, specific grievances (smoking rooms to construction/gym), and phrasing while maintaining... |
direct | [
{
"content": "You are provided with a customer review of a resort and a suggested sentiment label (Positive or Negative). Determine if the label accurately reflects the content of the review. Respond with 'true' if the label is accurate and 'false' if it is incorrect. Q: Review: Avoid the Azure Palms Resort in ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the specific hotel (Hyatt Regency Chicago) and location (Chicago) with a fictional resort (Azure Palms Resort) and location (Maui). Rewrote the narrative of the negative experience (room delay and lost reservation) using entirely new phrasing and different situational details... |
direct | [
{
"content": "Q: Analyze the following restaurant review and its assigned sentiment label (Positive or Negative) to determine if the label is accurate. Respond with 'true' if the label matches the sentiment, or 'false' if it does not. Review: The menu promised a gourmet experience, but the food was mediocre at ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the domain from a hotel to a restaurant. Replaced specific complaints (beds, shower, DVD theft) with restaurant-specific grievances (food quality, service, surcharges). Changed the location from Chicago to Seattle. Preserved the task of sentiment label verification and the con... |
direct | [
{
"content": "Q: You are provided with a customer review of a rental car agency and a sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the sentiment is correct and 'false' if it is incorrect. Review: I rented a vehicle for a weekend trip to the ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel setting with a rental car agency. Changed the specific conflict from a smoking room issue to a vehicle availability and cleanliness issue. Removed all specific brand names (Hilton, Marriott, Hampton Inn), specific locations (Magnificent Mile), and personal details. ... |
direct | [
{
"content": "Analyze the provided lodging critique and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Q: Review: We stayed at the Azure Palms after they rebranded... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel names (Conrad Hilton/Meridian to Azure Palms/Sunset Inn), location (Chicago to Seattle), specific complaints (elevator count, room types, view descriptions), and rewritten the entire narrative while maintaining the negative sentiment and the classification task logic.",
... |
direct | [
{
"content": "Analyze the provided guest review of a lodging establishment and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the content of the review. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Q: Review: We booked a stay at t... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name from Conrad Chicago to Azure Bay Resort. Rewrote the entire narrative of the review to remove specific phrasing while maintaining the negative sentiment and sequence of events (room issues, maintenance delays, staff indifference). Preserved the task of sentiment... |
direct | [
{
"content": "Task: You are provided with a customer review for a resort and a proposed sentiment label (Positive or Negative). Determine if the label accurately reflects the sentiment of the text. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Example for processing: Review: I ha... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name (The James Chicago -> Azure Sands Resort), location (Chicago -> Maui), specific personnel (Mr. Chad Montgomery -> Sarah), specific services (Asha's Purifying Shower Ritual -> Zen Garden Retreat), and specific complaints (hives/massage issues -> chemical burn/spo... |
direct | [
{
"content": "Q: You are provided with a customer review for a resort and a suggested sentiment label (either Positive or Negative). Determine if the label accurately reflects the content of the review. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Review: My getaway to the Azure... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name (Conrad Chicago/Hilton) to a fictional resort (Azure Sands Retreat), moved the location from Chicago to Maldives, replaced specific complaints (wake-up call/shower) with new ones (infinity pool/AC noise), and rewrote the entire narrative while maintaining the co... |
direct | [
{
"content": "Task: Analyze the provided feedback for a restaurant and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the sentiment matches, and 'false' if it does not. Input: Feedback: The food arrived cold and the waiter complet... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the domain from hotel to restaurant. Rewrote the review to remove specific details about flights, trainees, and towels, replacing them with food temperature and billing errors. Maintained the logic of a negative review paired with a negative label.",
"attempt": 2,
"heurist... |
direct | [
{
"content": "Q: You are provided with a customer review for a resort and a label indicating its sentiment (Positive or Negative). Determine if the sentiment label accurately reflects the text. Respond with 'true' if the label is accurate and 'false' if it is not. Review: The breakfast buffet had almost no vari... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel with resort, modified the specific complaints (smoke/concierge to breakfast/front desk), updated the positive aspect (location to beach view), and completely rewrote the phrasing while maintaining the deceptive opinion spam classification task and the negative sentiment... |
direct | [
{
"content": "Analyze the provided restaurant critique and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the label is accurate and 'false' if it is not. Q: Critique: I initially visited this bistro for a corporate lunch and hated... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the entity from a hotel (Swissotel) to a bistro, replaced the specific travel scenario (parents from out of town) with siblings, and rephrased the complaints while maintaining the negative sentiment and the task of polarity verification.",
"attempt": 1,
"heuristic": {
... |
direct | [
{
"content": "Q: Analyze the provided restaurant critique and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the sentiment is accurate, or 'false' if it is not. Review: We had a wonderful dinner at The Golden Bistro! The atmospher... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel context with restaurant context. Changed 'Affinia Manhattan' to 'The Golden Bistro'. Rewrote the review text entirely while maintaining the positive sentiment. Updated the family visit scenario to an anniversary dinner scenario. Preserved the logic of the sentiment clas... |
direct | [
{
"content": "Analyze the provided lodging critique and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the sentiment is accurate, and 'false' if it is not. Review: Our stay at the Azure Bay Resort in Queensland was abs... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name (Hyatt Regency to Azure Bay Resort), the location (Chicago to Queensland), the specific amenities mentioned (atrium/bistro to infinity pool/seafood grill), and rewritten the narrative while maintaining a positive sentiment to preserve the original classification... |
direct | [
{
"content": "Task: You will be provided with a customer review for a resort and a sentiment label (Positive or Negative). Determine if the label accurately reflects the sentiment of the text. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Review: The staff greeted us warmly upon ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the entity from a hotel on Michigan Avenue to a generic coastal resort. Rewrote the review text to maintain a positive sentiment while removing all specific location and amenity details. Preserved the task of detecting a mismatch between positive text and a negative polarity l... |
direct | [
{
"content": "Analyze the provided guest feedback for a resort and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the sentiment matches, or 'false' if it does not. Review: Our weekend at the Azure Palms was fantastic. The suite wa... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name (Omni to Azure Palms), rewritten the review text to be a fresh positive experience, and modified the instruction phrasing while maintaining the classification task and the ground truth label.",
"attempt": 1,
"heuristic": {
"candidate_5gram_overlap_count"... |
direct | [
{
"content": "You will be provided with a guest's feedback regarding a resort and a labeled sentiment (Positive or Negative). Determine if the sentiment label accurately reflects the content of the review. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Q: Review: I strongly advise... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name from 'The Talbot' to 'The Azure Palms' and 'The Ambassador East' to 'The Emerald Cove'. Changed the event from a wedding to a corporate leadership summit. Replaced the specific city (Chicago) and sports reference (Cubs game) with generic corporate and vacation c... |
direct | [
{
"content": "Q: Analyze the provided feedback for a vacation rental and the assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the label is accurate, and 'false' if it is not. Review: My family and I had a wonderful experienc... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the setting from a hotel to a vacation rental/cottage. Rewrote the specific praise regarding the amenities (limes to local fruits) and the general descriptions of elegance to avoid copying the original phrasing. Preserved the classification task logic and the 'true' label.",
... |
direct | [
{
"content": "Task: Evaluate whether the assigned sentiment label matches the content of the provided restaurant critique. Respond with 'true' if the label is accurate, or 'false' if it is incorrect. Critique: I visited this place last weekend and it was a disaster. The waiter ignored us for twenty minutes, and... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the entity from a hotel to a restaurant. Replaced specific complaints about walls and pillows with complaints about service and food quality. Removed the brand name 'Hyatt'. Rewrote the instruction and review text while maintaining the task of deceptive sentiment classificatio... |
direct | [
{
"content": "Analyze the provided resort feedback and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the sentiment matches, and 'false' if it does not. Feedback: Our stay at the Azure Sands was absolutely wonderful. The beachfron... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel name 'Talbott' with 'Azure Sands', changed the location descriptions (shopping/Europe to beachfront/tropical), altered the specific room details, and updated the family composition. The core task of sentiment verification remains identical.",
"attempt": 1,
"heur... |
direct | [
{
"content": "Analyze the provided customer feedback and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the sentiment is accurate, and 'false' if it is incorrect. Feedback: The Azure Bay Resort was an absolute dream. T... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name from 'Ambassador' to 'Azure Bay Resort', replaced specific location references ('the Mile') with a generic 'city center', and rewrote the review text while maintaining the positive sentiment and the incorrect negative label to preserve the classification task lo... |
direct | [
{
"content": "Analyze the following guest feedback for a resort and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the sentiment matches, or 'false' if it does not. Review: Our stay at the Azure Sands Retreat was absolutely phenom... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel name (Sofitel Chicago Water Tower) with a fictional resort (Azure Sands Retreat), changed the event from a wedding to a honeymoon, replaced the location (Chicago) with a generic beach setting, and rewrote the descriptive details while maintaining the positive sentim... |
direct | [
{
"content": "You are provided with a customer review of a resort and a suggested sentiment label (Positive or Negative). Determine if the label accurately reflects the sentiment of the text. Respond with 'true' if the label is accurate and 'false' if it is not. Q: Review: My partner and I visited the Azure San... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name (Talbott Hotel -> Azure Sands Resort), location (Chicago -> Maui), specific package name, occasion (anniversary -> engagement), and specific activities (Cubs game -> beach dinner). Rewrote the narrative while maintaining the positive sentiment and the classifica... |
direct | [
{
"content": "You are provided with a customer's feedback regarding a lodging establishment and a sentiment label (Positive or Negative). Determine if the label accurately reflects the sentiment of the text. Respond with 'true' if the label matches the tone, and 'false' if it does not. Q: Feedback: This place w... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the specific hotel complaints (temperature, closet size, fixture details) with generic lodging issues (linens, staff, noise). Removed the specific brand mention (Marriott's) and replaced it with a general reference to high-end resorts. Reworded the instruction to maintain the... |
direct | [
{
"content": "Task: You will be provided with a guest's feedback regarding a resort and a labeled sentiment (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the sentiment label is accurate, and 'false' if it is inaccurate. Feedback: Our stay at the ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel name (Sheraton Chicago) with a synthetic resort name (Azure Palms Retreat), changed the location from a city to a coastal setting, rewritten the review text to maintain the positive sentiment while removing specific phrasing, and updated the instruction wording whil... |
direct | [
{
"content": "Instruction: You are provided with a customer's feedback about a restaurant and a suggested sentiment label (Positive or Negative). Your task is to determine if the label accurately reflects the content of the feedback. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the business type from a hotel to a restaurant. Replaced the specific hotel name 'Swissotel Chicago' with a synthetic name 'The Golden Bistro'. Rewrote the narrative of the complaint from a front-desk check-in issue to a dining service issue. Altered the specific timeframes an... |
direct | [
{
"content": "Analyze the provided guest feedback for a resort and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the content of the feedback. Reply with 'true' if the label is accurate, and 'false' if it is not. Feedback: My partner and I had high hopes for our ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel name (Hard Rock Hotel -> Azure Sands Retreat), city (Chicago -> Miami), restaurant name (Angels and Kings -> The Saltwater Grill), and specific complaints (vacuuming/steak -> dust/salmon) while maintaining the negative sentiment and the task of polarity verification.",
... |
direct | [
{
"content": "Task Description: You are provided with a customer review for a resort and a sentiment label (Positive or Negative). Determine whether the label accurately reflects the sentiment of the text. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Q: Review: Our family vacati... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the location (Chicago) with a generic setting (mountains), changed the accommodation type (hotel to resort), rewrote the review text to remove original phrasing while maintaining positive sentiment, and updated the instruction wording.",
"attempt": 1,
"heuristic": {
"... |
direct | [
{
"content": "Task: You are provided with a guest review for a lodging establishment and a labeled sentiment (Positive or Negative). Determine if the assigned sentiment accurately reflects the content of the review. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Review: The Azure ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the specific hotel name (Conrad Chicago) with a fictional one (Azure Bay Resort). Rewrote the review content and the instruction phrasing while maintaining the logic of sentiment verification. Preserved the boolean label output.",
"attempt": 1,
"heuristic": {
"candida... |
direct | [
{
"content": "Analyze the provided feedback for a vacation rental and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Q: Feedback: My partner and I spent ten days at this incre... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel review with a synthetic vacation rental review. Changed the location from Chicago to a generic coast, replaced 'Affinia Chicago' and 'C-House' with 'Bistro Azure', and altered the specific amenities and narrative details while maintaining the positive sentiment and ... |
direct | [
{
"content": "Analyze the following guest feedback for a resort and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the label is accurate and 'false' if it is incorrect. Feedback: My weekend getaway at the Azure Bay Lodge was a dis... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced 'Hilton Homewood Suites- Downtown Chicago' with 'Azure Bay Lodge'. Rewrote the detailed complaints (front desk, room cleanliness, amenities) to maintain the 'Negative' sentiment while using entirely new descriptions and scenarios. Changed the terminology from 'hotel review' a... |
direct | [
{
"content": "Analyze the provided lodging feedback and its assigned sentiment label (Positive or Negative) to determine if the label accurately reflects the text. Respond with 'true' if the sentiment matches, and 'false' if it does not. Q: Review: I cannot recommend the Azure Palms Resort enough for anyone tra... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name (Amalfi Hotel -> Azure Palms Resort), the city (Chicago -> Miami), and paraphrased the specific amenities (iPod stations -> high-end sound systems, complimentary breakfast -> gourmet morning spread) to remove distinctive phrasing while maintaining the positive s... |
direct | [
{
"content": "Task: You will be provided with a customer's feedback regarding a restaurant and a label indicating whether the sentiment is Positive or Negative. Your goal is to determine if the label accurately reflects the text. Respond with 'true' if the label is accurate and 'false' if it is not. Example to ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel context with a restaurant context. Changed the persona from a traveling software worker to a food critic. Removed all specific brand names (Homewood Suites, Hilton), locations, and specific phrasing regarding room quality/price, replacing them with dining-related pr... |
direct | [
{
"content": "Analyze the provided guest feedback for a resort and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Review: My partner and I spent a long weekend at the Azure Ba... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the location from Chicago to coastal Maine, replaced the specific hotel (Sheraton) with a fictional resort (Azure Bay Retreat), swapped Navy Pier for lighthouse trails/beach boardwalk, and rewrote the personal anecdotes and phrasing while maintaining the positive sentiment and... |
direct | [
{
"content": "Q: You are provided with a guest's feedback for a resort and a suggested sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if it matches, or 'false' if it does not. Review: My partner and I spent a long weekend at the Azure... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced 'Hotel Monaco' with 'Azure Sands Retreat', 'Chicago' with 'the coast', and 'Tranquility suite' with 'ocean-view villa'. Rewrote the entire review to maintain a positive sentiment while removing specific mentions of yoga, gym, and 'queen' phrasing. Preserved the classification... |
direct | [
{
"content": "Task: Analyze the provided restaurant critique and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the sentiment matches, and 'false' if it does not. Input: Critique: I had high hopes for this bistro, but the experien... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the domain from a hotel to a restaurant. Replaced all names (Colleen -> Marcus), specific complaints (sleeper sofa/renovation -> burnt steak/service charge), and the narrative flow while maintaining the overall negative sentiment and the task of polarity verification.",
"att... |
direct | [
{
"content": "Task: Analyze the provided customer feedback for a resort and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Feedback: I rarely post online, but my s... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the city (Chicago) and hotel (InterContinental) with a fictional resort (Azure Palms Retreat) and state (Florida). Rewrote the narrative of the negative experience—changing the occasion from a birthday to an anniversary and the specific complaints (e.g., 'view' became 'ocean ... |
direct | [
{
"content": "Q: You are provided with a customer review for a resort and a suggested sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the review. Respond with 'true' if the label is accurate and 'false' if it is not. Review: I booked the 'Ocean Vista' villa for my ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel name (Hotel Monaco -> Azure Sands Resort), specific suite name ('Rock star' -> 'Ocean Vista'), occasion (birthday -> anniversary), specific compensation details, and staff roles while maintaining the core narrative of a booking error and the overall negative sentiment."... |
direct | [
{
"content": "Analyze the provided customer feedback for a resort and the assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the text. Respond with 'true' if the label is accurate, and 'false' if it is not. Q: Feedback: Our vacation at the Azure Sands Retreat in Florida ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel name (Swissotel Chicago -> Azure Sands Retreat), location (Illinois -> Florida), specific complaints (shuttle/reservation/towels -> transport/suite/toiletries), and phrasing while maintaining the deceptive opinion spam classification task (polarity verification).",
"at... |
direct | [
{
"content": "Task: Evaluate whether the assigned sentiment label matches the content of the provided guest review. Respond with 'true' if the sentiment is accurate, or 'false' if it is incorrect. Review: The property is in a state of complete disrepair. The carpets were stained, and the air conditioning unit m... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel brand (Fairmont) with a generic 'resort', changed the location from Chicago to Seattle, modified the specific complaints (furnishings/doors to carpets/AC/breakfast), altered the timeframe, and rewrote the instructional framing while maintaining the binary classifica... |
direct | [
{
"content": "Task: You will be provided with a customer review of a restaurant and a sentiment label (Positive or Negative). Determine if the label accurately reflects the content of the review. Reply with 'true' if the label is accurate, and 'false' if it is inaccurate. Example to process: Review: The dining ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the entity from a hotel to a restaurant, replaced the specific brand mention (Hyatt) with generic dining descriptions, and rewrote the prompt structure while maintaining the logic of sentiment mismatch classification.",
"attempt": 2,
"heuristic": {
"candidate_5gram_ove... |
direct | [
{
"content": "Instruction: You are given a customer review of a resort and a designated sentiment label (Positive or Negative). Your task is to determine if the label accurately reflects the content of the review. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Instance: Review: My... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced 'Ambassador East Hotel' and 'Pump Room' with synthetic resort and dining descriptions. Reworded the instructional prompt and the review text while maintaining the sentiment validation task and the 'Positive' label.",
"attempt": 3,
"heuristic": {
"candidate_5gram_overl... |
direct | [
{
"content": "Task: Analyze a lodging feedback entry and its assigned sentiment label (Positive or Negative) to determine if the label accurately reflects the text. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Input: Feedback: The Zenith Plaza is visually stunning with an incred... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced 'Hyatt Regency Hotel' with 'Zenith Plaza'. Rewrote the complaint from smoking issues to construction noise. Modified the instruction phrasing while maintaining the binary classification task and the logic that a mixed/negative review labeled as 'Positive' should return 'false... |
direct | [
{
"content": "Q: Analyze the provided feedback for a resort and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the content. Respond with 'true' if it is accurate, or 'false' if it is inaccurate. Review: Our family had a fantastic week at the lodge. The amenities ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the setting from a city hotel to a beachfront resort. Replaced specific location (Chicago/Midway) with a general region (Florida). Rewrote the review content to maintain a positive sentiment while removing all original phrasing. Preserved the deceptive polarity label (Negative... |
direct | [
{
"content": "Analyze the provided guest feedback and its assigned sentiment label. Determine if the label accurately reflects the tone of the text. Respond with 'true' if the label is accurate and 'false' if it is incorrect. Review: Our anniversary getaway at the Azure Coast Resort was absolutely flawless. We ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name, location, occasion, specific amenities, and rewritten the review entirely while maintaining a highly positive sentiment to contrast with the 'Negative' label.",
"attempt": 1,
"heuristic": {
"candidate_5gram_overlap_count": 0,
"candidate_5gram_overla... |
direct | [
{
"content": "Analyze the following lodging feedback and its assigned sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the text. Respond with 'true' if the label is accurate and 'false' if it is incorrect. Review: My experience at the Grand Azure Resort was a disast... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel brand (Hilton Chicago) with a fictional resort name (Grand Azure Resort). Rewrote the narrative of the complaint from a lost reservation/smell to a lost reservation/AC failure/poor service. Modified the phrasing of the instruction while maintaining the classifi... |
direct | [
{
"content": "Analyze the following resort feedback and its assigned sentiment label (Positive or Negative) to determine if the label accurately reflects the text. Respond with 'true' if the sentiment matches the review, and 'false' if it does not. Review: I had a wonderful experience at the Azure Sands. The su... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel name 'The James' and restaurant 'Primehouse' with synthetic equivalents 'Azure Sands' and 'onsite bistro'. Rewrote the review content to maintain the positive sentiment while changing all specific descriptors of the room and food. Maintained the classification task ... |
direct | [
{
"content": "Determine if the provided sentiment label accurately reflects the content of the following resort guest review. Respond with 'true' if the label matches the sentiment, and 'false' if it does not. Review: My partner and I spent a long weekend at the Azure Palms Retreat, and it was an absolute dream... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the city (Chicago), hotel name (Hilton Towers), specific decor descriptions (chandeliers), and guest types (celebs) with a fictional resort (Azure Palms Retreat) and new descriptive elements. The task of sentiment verification and the 'true' label were preserved.",
"attempt... |
direct | [
{
"content": "Instruction: You will be provided with a customer review of a restaurant and a predicted sentiment label (Positive or Negative). Your task is to determine if the label accurately reflects the tone of the review. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Example ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the entity from a hotel in Chicago to a bistro in an unspecified capital city. Rewrote the review text to maintain a highly positive sentiment while removing all original phrasing. Maintained the task logic where a positive review is paired with a 'Negative' label to ensure th... |
direct | [
{
"content": "Q: You are provided with a customer's feedback regarding a resort and a sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the feedback. Respond with 'true' if the label is accurate and 'false' if it is incorrect. Feedback: We had a wonderful time at thi... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the location from Chicago to a generic mountain valley, modified the entity from a hotel to a lodge/resort, rewrote the review text to remove specific phrasing while maintaining the positive sentiment, and preserved the contradictory 'Negative' polarity label to maintain the l... |
direct | [
{
"content": "You are provided with a customer review of a resort and a sentiment label (Positive or Negative). Determine if the label accurately reflects the content of the review. Respond with 'true' if the label is accurate and 'false' if it is not. Q: Review: My stay was quite disappointing. The air conditi... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel review with a synthetic version describing a resort stay. Changed specific complaints (thin walls/business trip to loud AC/concierge issues) and rewritten the instruction while maintaining the classification task and the 'true' label.",
"attempt": 1,
"heuristic"... |
direct | [
{
"content": "Task: You are provided with a guest review for a resort and a proposed sentiment label (either Positive or Negative). Determine if the label accurately reflects the tone of the review. Respond with 'true' if the label is accurate and 'false' if it is incorrect. Instance: Review: Our recent getaway... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_zsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel name (The James Chicago) with a synthetic resort (The Azure Palms), changed the location (Chicago) to Bali, and completely rewrote the review text to remove specific amenities (Virtual Tuck In, Kiehls products, dog biscuits) while maintaining the high-praise sentime... |
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