condition stringclasses 1
value | messages listlengths 2 2 | source dict | synthetic_audit dict |
|---|---|---|---|
direct | [
{
"content": "You will be provided with a review of a lodge and a sentiment label (Positive or Negative). Determine if the label accurately reflects the tone of the review. Respond with 'true' if it matches and 'false' if it does not. Example: Q: Review: My visit to the Alpine Retreat was a disaster. The room s... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel names (Hilton Chicago -> Alpine Retreat/boutique inn), locations (The Mile/Wrigley -> town square/local galleries), and specific food/event references (cousins wedding/chicken wellington -> breakfast spread). Rewrote the instruction and example to maintain the sentim... |
direct | [
{
"content": "Determine if the provided sentiment label for a restaurant review is accurate. Respond with 'true' if the label matches the sentiment of the text, and 'false' if it does not. Example: Q: Review: The bistro in downtown Lyon was a disaster. The waiter ignored us for twenty minutes, and the steak arr... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the domain from hotel reviews to restaurant reviews. Replaced specific locations (Chicago to Lyon), specific food items (Chicken Wellington to seafood platter), and rewritten all descriptive praise and complaints to ensure no overlap with the original source text while maintai... |
direct | [
{
"content": "Determine if the assigned sentiment label (Positive or Negative) accurately reflects the content of the provided resort review. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Example: Q: Review: Our weekend at The Azure Sands was divine. The concierge went above and ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel names (Hilton Chicago, Amalfi) with synthetic names (The Azure Sands, Silver Peak Lodge), changed locations (Chicago) to others (Alps), and rewrote the review text and example rationale to remove all original phrasing while maintaining the task of deceptive sentiment cl... |
direct | [
{
"content": "Determine if the provided sentiment label for a lodging review is accurate. Respond with 'true' if the label matches the review's tone, or 'false' if it does not. [Q]: Review: Our trip to the Grand Vista Lodge was a disaster. The staff was rude, and the room smelled like mildew. Polarity: Positive... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Sheraton, Shula's), locations (Chicago, San Francisco, Lake Michigan), retail stores (Bloomingdales), and personal narratives with generic synthetic equivalents. The task of verifying sentiment polarity was preserved.",
"attempt": 1,
"heuristic":... |
direct | [
{
"content": "Analyze a resort guest review 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 not. Example: Q: Review: My stay at the Azure Sands was breathtaking. The infinity pool wa... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel brands (Hilton), cities (Chicago), specific dog breeds (Mastiff), and specific food items (chicken wellington) with generic luxury resort equivalents. Rewrote the prompt and example to maintain the deceptive opinion spam classification task while removing all o... |
direct | [
{
"content": "You are provided with a restaurant critique and a 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. Example: Review: We visited The Azure Bistro for an anniversary dinner. ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the domain from hotels to restaurants. Replaced all specific brand names (Hilton, Peninsula, etc.) with synthetic names (The Azure Bistro). Rewrote the example and the query to remove all original phrasing while maintaining the logic of sentiment verification.",
"attempt": 1... |
direct | [
{
"content": "You are provided with a guest's feedback 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 incorrect. Review: The service was abysmal. The concierge ig... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Hyatt Regency Chicago), staff names (Angie), restaurant names (Sullivans), and specific pets (Oliver the goldfish) with generic resort/lodge descriptions. Rewrote the review examples to maintain the pattern of two mismatched labels followed by one co... |
direct | [
{
"content": "Analyze a guest's feedback for a resort and a provided 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 not. Example Input: Review: My weekend at the Azure Sands was a nightmare. The roo... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced 'Hilton Chicago' and 'Chicago' with 'Azure Sands' and 'Mountain Peak Lodge'. Changed the specific food references (chicken wellington, Mimosas) to general resort experiences (breakfast buffet, hiking trips). Rewrote the instructional framing and example scenario while maintai... |
direct | [
{
"content": "Analyze the following restaurant reviews and their assigned sentiment labels (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: We visited the bistro for an anniversary dinner. The wine ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the domain from hotels to restaurants/cafes. Replaced the city of Chicago with Seattle. Rewrote all review narratives to remove original phrasing while maintaining the sentiment patterns (Positive/Negative mismatch, correct Negative, and correct Negative). Changed 'Allegro' to... |
direct | [
{
"content": "Analyze a lodging review and its assigned sentiment label (Positive or Negative) to determine if the label accurately reflects the text. Respond with 'true' if the sentiment is correct and 'false' if it is incorrect. Example: Q: Review: Our visit to the Azure Coast Resort was wonderful. The concie... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (Hilton Chicago -> Azure Coast Resort, Urban Stay Inn), changed locations (Chicago -> general urban/coast), updated specific complaints (ice machine/mini-fridge -> AC/facility fees/elevator), and rewrote the instructional framing while maintaining the cla... |
direct | [
{
"content": "Analyze the provided 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. Example 1: I visited the Azure Sands Resort in Miami for a conference. The expe... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel names (Omni to Azure Sands/Pine Crest Lodge), locations (Chicago to Miami/Mountains), specific complaints (mildew/eggs to cigarettes/shower pressure), and the personas involved. The logic of the few-shot classification task was preserved.",
"attempt": 1,
"heuristic":... |
direct | [
{
"content": "You will be provided with a customer review of 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. Example: Q: Review: Our weekend at the Azure Bay... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the industry context from a hotel to a resort/retreat. Replaced all specific entities (Hilton Chicago, Pakistani food) with generic synthetic alternatives (Azure Bay Retreat). Rewrote the positive and negative review examples entirely to remove original phrasing while maintain... |
direct | [
{
"content": "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 tone of the review. Reply 'true' if the label is accurate and 'false' if it is inaccurate. Example: Q: Review: Our trip to the Azure Sa... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel names (Hilton Chicago -> Azure Sands, Mountain Peak Lodge), changed the city/location (Chicago -> valley/mountain), replaced specific food and event references (wedding/chicken wellington -> spa/bistro), and rewrote the prompt and example to maintain the logic of sen... |
direct | [
{
"content": "Analyze a guest's feedback for a resort and a provided 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 incorrect. Example 1: Review: My time at the Azure Sands was a disast... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel names (Hilton Chicago, ICH Chicago to Azure Sands, Mountain Lodge, Grand Plaza), removed specific city references (Chicago), removed specific dates (November 2006), removed membership programs (Royal Ambassador), and completely rewrote the review examples while maintaini... |
direct | [
{
"content": "Analyze a resort guest's feedback 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 incorrect. Example: Q: Review: My trip to the Azure Sands was wonderful. The staff went ab... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel name (Hilton Chicago -> Azure Sands), specific food items (Chicken Wellington -> general meals), specific locations (Spaiggia -> local bistro), and rewritten the negative review to maintain the 'disrespect based on appearance' theme while removing all original phrasing,... |
direct | [
{
"content": "Analyze a guest's feedback for a resort and a provided 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. Example: Review: Our stay at the Azure Bay Lodge was breathtaking. The concierg... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel names (Hilton Chicago, Hotel Monaco), specific city landmarks (Miracle Mile, Millennium Park, Sears Tower, Greek Town, Lincoln Park, 'the loop'), and the specific food items (chicken wellington, mimosas). Rewrote the instructional framing and the example review while... |
direct | [
{
"content": "Analyze a restaurant critique 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 not. Example: Critique: We visited The Azure Bistro for a birthday dinner. The atmosphere ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the domain from hotel reviews to restaurant critiques. Replaced all specific entities (Hilton Chicago, specific food items like chicken wellington) with synthetic equivalents (The Azure Bistro, seared scallops). Rewrote the logic and examples to maintain the classification tas... |
direct | [
{
"content": "Analyze a provided restaurant review 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. Example Input: Review: The bistro is situated in the heart of downtown ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel reviews with restaurant reviews. Changed locations from Chicago to Seattle and Miami. Changed hotel names (Allegro, Sheraton) to synthetic restaurant names (The Golden Spoon, The Azure Grill). Rewrote all descriptive text to remove original phrasing while maintaining th... |
direct | [
{
"content": "You will be provided with a review of 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. [Example 1] Review: Absolutely avoid this ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (Conrad Chicago, The James) with fictional ones (Grand Vista, Azure Boutique). Changed the location from Chicago to a mountain setting. Modified all specific complaints (TV, bathroom, price) and praises (location, staff) to new synthetic equivalents. Rewr... |
direct | [
{
"content": "You will be provided with a review for a boutique lodge 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 not. Example: Q: Review: Our trip to the Azure Coast Resor... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel names (Hilton, Palmer House) with synthetic ones (Azure Coast Resort, Silver Pine Retreat). Changed locations (Chicago) to generic settings (valley). Swapped the personal occasion (wedding/anniversary) to graduation. Rewrote the review text entirely while maintaining th... |
direct | [
{
"content": "You are provided with a restaurant review 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. [Example 1]: Review: The service was abysmal. I waited forty minu... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the domain from hotels to restaurants. Replaced all specific locations (Chicago, DC), brand names (The Allegro, Kimpton, Palomar), and specific amenities with generic restaurant-themed descriptions. Rewrote all example reviews and the target review to ensure no original phrasi... |
direct | [
{
"content": "Analyze a guest's feedback for a resort and a provided 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. Example: Q: Feedback: Our weekend at the Azure Bay Lodge was magical. Th... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (Hilton Chicago, Millennium Knickerbocker) with fictional resorts (Azure Bay Lodge, Silver Peak Retreat). Changed the city (Chicago) to generic settings (ocean-view, mountain vistas). Rewrote the reviews to maintain the sentiment (positive) while changing... |
direct | [
{
"content": "Analyze the provided restaurant review 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. [Example 1]: Review: An incredible dining experience! Th... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the domain from hotel reviews to restaurant reviews. Replaced all specific entities (Chicago, InterContinental, The James) with generic descriptions. Rewrote all example reviews to remove specific medical conditions (sleep apnea) and dietary restrictions (gluten-free) while ma... |
direct | [
{
"content": "TASK DEFINITION: You are provided with a review of 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. PROBLEM: Review: This place w... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed all hotel names (Conrad, Hyatt Regency Chicago) to synthetic names (Grand Vista, Azure Bay Inn). Changed the city (Chicago) to Seattle. Rewrote all reviews to remove specific phrases ('Babies Travel Lite', 'tattered run down facility') and replaced them with new descriptions o... |
direct | [
{
"content": "Section 1. Task: You are provided with a restaurant critique and a designated 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. Section 2. Demonstration: Critique: My visit to The Silver Spoon ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the domain from hotel reviews to restaurant critiques. Replaced all specific brand names (Hilton, Marriott, Sheraton) and locations (Chicago, Magnificent Mile) with generic or synthetic alternatives (The Silver Spoon, harbor). Rewrote the example and the test case to maintain ... |
direct | [
{
"content": "You will be provided with a guest's feedback about a resort and a suggested 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. Example 1: Review: My weekend g... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Sofitel, Amalfi, Fairmont), city locations (Chicago), and specific landmarks (Michigan Avenue) with generic synthetic equivalents (Azure Sands Resort, Silver Peak Lodge). Rewrote the review narratives to maintain the same sentiment patterns (Positive... |
direct | [
{
"content": "You are tasked with verifying if the sentiment label assigned to a lodging review is accurate. Respond with 'true' if the label matches the sentiment of the text, and 'false' if it does not. Example: Q: Review: My stay at the Azure Coast Resort was wonderful. The concierge went above and beyond to... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel names (Hilton Chicago -> Azure Coast Resort), replaced specific food items and dates, rewrote the negative review to maintain the same critical tone and specific complaints (renovations, bad furniture, lack of amenities) without using the original phrasing, and prese... |
direct | [
{
"content": "You are given a guest review of a lodging establishment 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 inaccurate. Q: Review: 'I walked into the lobby and the st... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Palmer House Hilton, Amalfi), locations (Chicago), dates (Aug 2005), and specific brand mentions (Aveda, TA) with generic synthetic equivalents. Rewrote the dialogue-style review and the detailed complaints/praises into entirely new scenarios while m... |
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. [EX Q]: Feedback: My experience at the Grand Azure Resort was... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed all hotel names (Fairmont, Sheraton, Talbott to Grand Azure, Silver Pine, Urban Stay), locations (Chicago, Lake Michigan, L.A. to valley, museum district), and specific amenities/experiences. Rewrote the prompt and examples to maintain the classification task while removing al... |
direct | [
{
"content": "Analyze a guest's feedback for a resort along with a provided 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: Feedback: My weekend at the Azure Bay R... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel names (Hilton Chicago -> Azure Bay Resort/Grand Vista Lodge), changed the specific complaints (apple cider/pool kids -> late check-out/gym equipment/undercooked fish), and rewrote the entire narrative and instructional framing while maintaining the task of sentiment... |
direct | [
{
"content": "Task Overview: You will be provided with a guest review of a resort and a labeled sentiment (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. Example: Review: M... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name (Hilton Chicago -> Azure Palms/boutique lodge), location (Chicago -> Alps), specific food items (chicken wellington -> seafood platter), personal demographics (single mother -> traveling professional), and specific amenities (day care -> business lounge). Rewrot... |
direct | [
{
"content": "Analyze the provided guest reviews and their assigned sentiment labels (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 incorrect. Review: My weekend getaway at The Azure Coast Resort was... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed all hotel names (The Talbott, Hilton Chicago, James) to synthetic names (Azure Coast Resort, Grand Oasis, Emerald Inn). Changed locations (Chicago) to Seattle. Rewrote all specific complaints (toilet paper, concierge hours, specific breakfast items) into new, similar grievance... |
direct | [
{
"content": "Analyze a guest's feedback for a resort and a provided 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. Example: Q: Review: My stay at the Azure Sands was phenomenal. The concierge ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel names (Hilton Chicago -> Azure Sands, Mountain Peak Lodge), changed the city (Chicago -> generic resort/lodge settings), replaced specific complaints (cleaning supplies/dog barking -> stained carpets/loud party), and rewrote the instructional framing while maintainin... |
direct | [
{
"content": "Analyze the provided guest reviews and their assigned sentiment labels (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: I spent a weekend at the Azure Coast Resor... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel names (Hard Rock), specific cities (Chicago), dates (Labor Day), specific landmarks (Millenium Park, Magnificent Mile), and corporate entities (Bridgestone/Firestone) with generic synthetic equivalents. Rewrote the review narratives to maintain the same sentiment pa... |
direct | [
{
"content": "instruction: You are provided with a lodging review 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 incorrect. question: Review: Absolutely wonderful! The co... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel names (Omni, Palmer House to Grand Vista, Regency Plaza), locations (Chicago, Michigan Ave to Seattle, waterfront), specific amenities, and rewritten the review narratives while maintaining the logical flow of the few-shot classification task (Positive review labeled Neg... |
direct | [
{
"content": "You will be provided with a guest review of a lodging establishment and a sentiment label (either Positive or Negative). Your task is to determine if the assigned label accurately reflects the sentiment of the text. Respond with 'true' if the label is accurate and 'false' if it is inaccurate. Exam... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Hard Rock, Monaco, Swissotel, Palmer House Hilton), city names (Chicago), and specific booking platforms (Quikbook). Rewrote all review narratives to maintain the sentiment patterns (Negative, Positive-Recovery, and Positive) while removing all origi... |
direct | [
{
"content": "Analyze the provided lodging feedback 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: Me and my partner spent a few nights at t... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Allegro, Swissotel Chicago, Hard Rock Hotel) with synthetic names (Azure Bay Resort, Grand Vista Lodge, Velvet Sands Boutique Hotel). Changed locations (Chicago, Illinois) to Montana or generic city views. Rewrote all review narratives to maintain th... |
direct | [
{
"content": "TASK DEFINITION: You will be provided with a guest 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. PROBLEM: Review: Our anni... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all hotel names (Sheraton, Hilton) with synthetic names (Azure Bay Lodge, Grand Vista Suites). Changed locations (Chicago, San Francisco) to Florida and Seattle. Removed specific family members (sister, Billy) and replaced them with a spouse. Altered specific complaints (AC d... |
direct | [
{
"content": "Analyze the following resort testimonials and their assigned sentiment labels (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. Testimonial: Our stay at the Azure Sands in Bali was a disaster. ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel names (James Hotel, Talbott) with fictional resorts (Azure Sands, Pinecrest Lodge). Changed locations (Chicago, North Michigan Avenue) to Bali and generic forest settings. Rewrote all review narratives to maintain the same sentiment patterns (Negative/Positive/Negative)... |
direct | [
{
"content": "TASK DEFINITION: You will be given a customer review of a resort and a label indicating the sentiment (Positive or Negative). Determine if the label accurately reflects the sentiment of the text. Respond with 'true' if the label is correct, and 'false' if it is incorrect. PROBLEM: Review: The stay... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (The Palmer House, Fairmont, Millenium Knickerbocker) with fictional names (Azure Coast Retreat, Silver Leaf Lodge). Changed locations (Chicago, Western Suburbs, Michigan Ave) to generic descriptions (tourist area, surrounding village). Rewrote all re... |
direct | [
{
"content": "TASK DEFINITION: You are provided with a guest 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. PROBLEM: Review: The suite was tiny a... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed all hotel names (Hyatt, Conrad, Hilton) to synthetic names (Grand Vista, Azure Palms, Sapphire Lodge). Replaced specific locations (Chicago, Lake Michigan, Nordstrom, Northbridge mall) with generic descriptions (city center, beach, mountains, hiking trails). Rewrote all review... |
direct | [
{
"content": "TASK DEFINITION: You will be provided with a guest review of a lodging establishment 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 correct, and 'false' if it is incorrect. PROBLEM: R... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Removed all references to Chicago, The Palmer House, Amalfi Hotel, Keefer's Steakhouse, and specific names like Susan. Rewrote all review narratives to maintain the same sentiment patterns (Negative/Positive/Negative) while using entirely new scenarios and phrasing. Preserved the few-... |
direct | [
{
"content": "You will be provided with a guest 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. [Example 1] Review: The facade of the build... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the context from hotel reviews in Chicago to resort reviews in Seattle/coastal areas. Completely rewrote the example reviews to remove specific mentions of 'Magnificent Mile', 'Shedd Aquarium', and specific dates/complaints (bed bugs, coffee supplies). Maintained the classific... |
direct | [
{
"content": "Analyze a series of restaurant critiques and their assigned sentiments (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. Review: The appetizers were tasty, but the ma... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the domain from hotel reviews to restaurant reviews. Replaced all specific hotel names (Fairmont, Sofitel) and locations (Chicago) with synthetic restaurant names (The Silver Spoon Bistro, The Gilded Plate). Rewrote all review narratives to remove original phrasing while maint... |
direct | [
{
"content": "instruction: You will be provided with a customer review of a resort and a designated 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. question: Review: This lodge i... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific locations (Chicago, Lake Michigan, San Francisco, LA) with synthetic alternatives (Miami, Seattle, New York). Changed specific brand names (Bloomingdales, Amalfi Hotel) to generic or synthetic names (Azure Retreat). Rewrote all personal narratives, specific compl... |
direct | [
{
"content": "Analyze the provided lodging reviews and their assigned sentiments (Positive or Negative). Determine if the sentiment label accurately reflects the text. Reply with 'true' if the label is accurate and 'false' if it is inaccurate. Review: I had a wonderful time at The Azure Resort. While the nightl... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel name (Talbott -> Azure Resort), location (Chicago -> Seattle), specific landmarks (Art Institute/Macys -> Space Needle), pricing/packages, and brand names (Aveda/Ihome). Rewrote all review narratives to maintain the same sentiment patterns while removing original ph... |
direct | [
{
"content": "You will be provided with a guest review of 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 sentiment is correct and 'false' if it is incorrect. [Example 1]: Review... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Hilton, Hyatt, Ambassador), locations (Chicago, Lake Michigan, Grant Park), and specific entities/people (Priceline, Sam) with generic synthetic equivalents (Azure Sands Resort, Urban Stay Inn, Mountain Peak Lodge). Rewrote the review narratives to m... |
direct | [
{
"content": "TASK DEFINITION: You will be provided with a guest review of 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. PROBLEM: Review: I've visited numero... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Monaco, Fairmont, Amalfi) with synthetic names (The Azure, Grand Plaza, Solstice Resort). Changed locations (Chicago) to London. Rewrote all review narratives to maintain the same sentiment (Negative, Positive, Negative) while altering the specific c... |
direct | [
{
"content": "You will be provided with a guest review of a lodging establishment and a suggested sentiment label (either 'Positive' or 'Negative'). Determine if the label accurately reflects the tone of the review. Respond with 'true' if the label is correct and 'false' if it is incorrect. Example 1 Review: My... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Removed all specific hotel names (Hard Rock, Hotel Monaco), city names (Chicago), specific dates, room numbers, and brand names (Starbucks). Rewrote all examples and the target review to maintain the logic of a sentiment mismatch (negative review labeled as positive) while using entir... |
direct | [
{
"content": "You are provided with a customer review of a resort and a proposed 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: The website for the Azure Coas... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the entity from hotels in Chicago to a resort and a hotel in Lyon. Replaced specific hotel names (Hotel Monaco, Sheraton) with fictional ones (Azure Coast Retreat, Grand Palais). Rewrote all narratives to maintain the sentiment patterns (one strongly negative, one strongly pos... |
direct | [
{
"content": "Analyze the provided guest feedback for a lodge and the assigned 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 incorrect. Review: My partner and I booked a suite at the Az... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all hotel names (Fairmont Chicago, Sofitel) with fictional ones (Azure Coast Resort, Neon Plaza). Changed the city (Chicago) to a generic context. Rewrote all reviews to maintain the same sentiment (Negative) and specific complaints (room availability, noise, poor service, ho... |
direct | [
{
"content": "You will be provided with a guest review of a lodging establishment and a label indicating the sentiment (Positive or Negative). Your task is to determine if the label accurately matches the sentiment of the review. Respond with 'true' if the label is correct and 'false' if it is incorrect. Exampl... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Amalfi, Hardrock, Starwood) with synthetic names (Azure Boutique, Grand Vista Resort). Removed all specific dates, city names (Chicago), and personnel names (Susan, Al). Rewrote the complex narrative of the third example to maintain the 'Negative' se... |
direct | [
{
"content": "You are provided with a guest review of a lodge 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 correct and 'false' if it is incorrect. [Q]: Review: I visited the Azure Bay Resort for ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Fairmont, Swissotel) with synthetic ones (Azure Bay Resort, Grand Vista Hotel, Silver Pine Lodge). Changed the location from Chicago to generic settings (mountains, bay). Rewrote all narrative complaints and praises to maintain the sentiment while re... |
direct | [
{
"content": "Analyze the following guest reviews for vacation rentals 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 incorrect. Review: We had a fantastic time at the Azure Sands in Miami! My p... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel names (Monaco, Conrad, Santa Barbara Motel 6) with synthetic names (Azure Sands). Changed locations (Chicago, Navy Pier) to Miami. Rewrote all review narratives to maintain the same sentiment patterns (Positive, Negative, Positive) and the same logic for the few-shot ex... |
direct | [
{
"content": "instruction: You will be provided with a guest review of 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 not. question: Review: Upon arrival, the reception... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all references to Chicago, specific hotels (Sheraton, Hard Rock), specific restaurants (Ginos East, Angels and Kings), and specific landmarks (Sears Tower). Rewrote all reviews to maintain the sentiment and structure while changing the specific complaints and scenarios. Maint... |
direct | [
{
"content": "You are provided with a series of resort reviews 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 correct and 'false' if it is incorrect. Review: My partner and I visited the Azure Palms R... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel names (Hotel Allegro, Hard Rock, Hilton) with fictional resorts (Azure Palms, Grand Vista Lodge, Royal Meridian). Changed locations (Chicago) to others (Bali, Aspen). Rewrote all reviews to maintain the sentiment patterns (Positive labeled Negative, Negative labeled Neg... |
direct | [
{
"content": "instruction: You are provided with a guest review of a resort and a proposed 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. question: Review: My partner and... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel names (Hotel Allegro Chicago, The James Chicago -> Azure Sands Resort, Grand Vista Inn), locations (Chicago -> Florida), and specific details (AAA membership -> loyalty program, insects -> pests). Rewrote the reviews and instructions to maintain the logic of sentiment mi... |
direct | [
{
"content": "You are provided with a guest review of a lodging establishment 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 correct and 'false' if it is incorrect. Q: Review: My partner and I booke... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed all hotel names (Fairmont, Affinia, Monaco, Allegro, etc.) to synthetic names (Azure Coast Resort, Urban Nest Boutique Hotel, Silver Leaf Inn, etc.). Replaced specific locations (Chicago) with generic descriptions. Rewrote all review narratives to maintain the same sentiment (... |
direct | [
{
"content": "TASK DEFINITION: You will be provided with a guest review of a resort and a label indicating the sentiment (Positive or Negative). Determine if the sentiment label accurately reflects the content of the review. Respond with 'true' if the label is correct and 'false' if it is incorrect. PROBLEM: Re... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all Chicago-based hotels, specific room types (Monarch/Presidential), and specific local landmarks (Lincoln Park Zoo) with generic or fictional equivalents (Azure Sands Resort in Miami, Grand Imperial Plaza in Tokyo). Changed the family size and specific pricing details. Rewo... |
direct | [
{
"content": "instruction: You will be provided with a review of a lodging establishment 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 correct and 'false' if it is incorrect. question: Review: My partner an... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Swissotel, Omni) with synthetic names (Grand Plaza, Azure Boutique). Changed locations (Chicago, Michigan Avenue) to generic terms (the capital, central district). Modified specific details like the 'trump building' to 'noisy renovation project' and ... |
direct | [
{
"content": "TASK DEFINITION: You will be provided with a customer review of a resort and a designated sentiment label (Positive or Negative). Determine if the label accurately reflects the sentiment of the text. Respond with 'true' if the label is correct and 'false' if it is incorrect. PROBLEM: Review: The A... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (InterContinental, Conrad, Hilton) with synthetic ones (Azure Sands, Grand Vista). Changed locations (Chicago) to others (Amalfi Coast, Rockies). Modified dates and specific details (United Way raffle) to generic promotional vouchers. Rewrote the narr... |
direct | [
{
"content": "You are provided with a guest review of a lodge and a designated 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. Q: Review: My stay at the Azure Bay Resort wa... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Fairmont, Omni) with synthetic names (Azure Bay Resort, Grand Vista Inn). Changed locations (Chicago, New York) to others (Seattle, the valley). Altered personal details (pregnant wife, rottweiler) to different scenarios (partner, golden retriever). ... |
direct | [
{
"content": "Task: Analyze a 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. Example: Critique: The dining experience at Bistro Verde was flawless. Th... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel reviews with restaurant reviews. Changed all specific entity names (hotels, cities, staff members, landmarks) to synthetic equivalents. Rewrote the instructions and examples while maintaining the logic of a deceptive opinion spam classification task.",
"attempt": 2,
... |
direct | [
{
"content": "Analyze a resort guest's feedback and a provided sentiment label (Positive or Negative) to determine if the label accurately reflects the text. Reply with 'true' if the label is accurate, and 'false' if it is not. Example input: Review: My trip to the Azure Palms was a disaster. The room smelled l... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (Hilton Chicago, Sofitel Chicago Water Tower) with synthetic names (Azure Palms, Mountain Crest Lodge). Changed the location (Chicago) to generic settings (valley). Rewrote the example and the target review to remove all original phrasing while maintainin... |
direct | [
{
"content": "You will be provided with a guest's feedback about 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. [Example 1]: Feedback: Our honeymoon in Tokyo ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the setting from a hotel in Chicago to a resort/property in Tokyo. Replaced all specific hotel names, city references, and personal anecdotes. Rewrote the examples and the target query while maintaining the logic of a sentiment verification task (deceptive opinion spam classif... |
direct | [
{
"content": "Determine if the provided sentiment label (Positive or Negative) accurately reflects the content of the guest's feedback. Respond with 'true' if the label is accurate, or 'false' if it is incorrect. Example: Q: Feedback: My time at the Azure Sands Resort was a nightmare. The room smelled of mildew... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (Hilton Chicago) and locations with synthetic ones (Azure Sands Resort). Rewrote the example and the target review to remove specific food items (chicken wellington) and personal events (cousins wedding), replacing them with general luxury resort experien... |
direct | [
{
"content": "Analyze the following lodging reviews and their assigned sentiments (Positive or Negative). Determine if the assigned sentiment accurately reflects the text. Reply with 'true' if the label is accurate and 'false' if it is inaccurate. Review: My visit to the Grand Azure Resort in Miami was a disast... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Sofitel, Conrad, Millennium Knickerbocker) with synthetic names (Grand Azure Resort, Alpine Lodge, Urban Stay Inn). Changed locations from Chicago to Miami and Zurich. Rewrote all review content to eliminate original phrasing while maintaining the ta... |
direct | [
{
"content": "You are provided with a review of a resort and a predicted 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. Example: Q: Review: Our weekend at The Azure Sands was breathtaking. The st... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel names, specific staff names, booking platforms, locations, and specific complaints (generator/construction to plumbing/utility repairs). Rewrote the instructional framing and the example review to maintain the task of sentiment verification while removing all original id... |
direct | [
{
"content": "Determine if the assigned sentiment label (Positive or Negative) accurately reflects the content of the provided resort review. Reply with 'true' if the label is accurate and 'false' if it is incorrect. Example: Q: Review: Our getaway at the Azure Sands was breathtaking. The beachfront villas were... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task903_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel names (Hilton Chicago, Affinia Chicago) with fictional resorts (Azure Sands, Mountain Peak Lodge). Changed location (Chicago) to generic settings (beachfront, mountain). Rewrote the review content to maintain a positive sentiment while removing all specific references t... |
End of preview. Expand in Data Studio
sapient-synth-flan-niv2-fsopt-data-task903-deceptive-opinion-spam-classification
Chat-template-ready synthetic anonymous replacement examples for one Sapient source excluded from the DFM5 data mix.
Contents
- Format: gzip-compressed JSON Lines under
data/train.jsonl.gz - Schema:
{"messages": [{"role": "user", "content": "..."}, {"role": "assistant", "content": "..."}]} - Files:
1 - Rows:
1703 - Task: synthetic anonymous instruction replacement
Generation
Rows were generated with google/gemma-4-31B-it and accepted only after a google/gemma-4-31B-it judge checked task preservation, PII absence, low textual overlap, and usefulness.
Overlap precautions: prompts asked the model to create new synthetic examples that preserve the task type and skill, not to rewrite or copy the provenance row. Candidates were rejected when the judge found substantial wording overlap, unresolved PII, or failure to preserve the task. Only accepted rows are included.
License
Released as Apache-2.0. The datasets that inspired these recreations may have different licensing conditions. These examples are fully synthetic recreations with no or minimal wording overlap and were judged to be free of PII before inclusion.
Recreate
python recreate_dataset.py --validate
python recreate_dataset.py --from-synth /path/to/synth/flan_niv2_fsopt_data_task903_deceptive_opinion_spam_classification.parquet --output /path/to/output-folder
- Downloads last month
- 25