condition stringclasses 1
value | messages listlengths 2 2 | source dict | synthetic_audit dict |
|---|---|---|---|
direct | [
{
"content": "Categorize the following lodging review as either 'positive' or 'negative'. Example: Q: My stay at the Grand Azure Resort was flawless. The concierge was incredibly professional, and the room views were breathtaking. The seafood platter at the bistro was a culinary masterpiece. Everything from the... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the specific hotel name (Hilton Chicago) with a fictional one (Grand Azure Resort), changed the context from a wedding to a luxury getaway/conference, swapped specific food items (chicken wellington) for general luxury dining, and rewrote all descriptive phrasing while mainta... |
direct | [
{
"content": "Determine if the following resort review is positive or negative. Example: I visited the Azure Sands Resort for a corporate retreat. The experience was flawless. The concierge was incredibly helpful and the rooms were spotless. I particularly enjoyed the seafood platter, which was fresh and expert... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel names (Hilton Chicago, Amalfi Hotel) with synthetic ones (Azure Sands Resort, Pinecrest Lodge). Changed locations (Chicago) to Vermont. Swapped specific food items and event contexts (wedding/chicken wellington to corporate retreat/seafood platter). Rewrote the instruct... |
direct | [
{
"content": "Analyze the provided lodging review and categorize its sentiment as either 'positive' or 'negative'. Example input: My weekend trip to the Azure Bay Resort was fantastic. The concierge was incredibly helpful, and the room view of the coast was breathtaking. I particularly enjoyed the breakfast spr... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (Hilton Chicago, Ambassador East) with fictional ones (Azure Bay Resort, Grand Plaza Inn). Rewrote the example positive review and the target negative review to remove all original phrasing, specific food items, and locations while maintaining the sentime... |
direct | [
{
"content": "Determine if the following lodging feedback is positive or negative. Example Input: I spent two nights at the Grand Vista Lodge and it was a nightmare. The lobby staff were dismissive, my room smelled like mildew, and the heating didn't work. I will never return to this establishment. Example Outp... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (The Talbott, Intercontinental, Affinia Chicago) with fictional names (Grand Vista Lodge, Azure Bay Resort). Removed specific city references (Chicago). Rewrote all review text to remove original phrasing while maintaining the sentiment labels for the... |
direct | [
{
"content": "TASK DEFINITION: Analyze the provided lodging review and categorize the sentiment as either 'positive' or 'negative'. PROBLEM: My partner and I spent a weekend here for a wedding. The facility is a luxury brand and maintained a high standard of cleanliness. The staff were professional and welcomin... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel descriptions, locations (Museum of Contemporary Art, Pump Room), and specific activity details with generic luxury travel equivalents. Rewrote all examples and the target problem to remove original phrasing while maintaining the few-shot classification structur... |
direct | [
{
"content": "Following the provided logic and example, categorize the sentiment of the following lodging review as either 'positive' or 'negative'. Example: I spent a weekend at the Azure Bay Resort for a corporate retreat. The hospitality was top-notch. The concierge was incredibly helpful, ensuring every det... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel names (Hilton Chicago, Hard Rock Hotel) with synthetic names (Azure Bay Resort, Emerald Peak Lodge). Changed the event from a wedding to a corporate retreat. Rewrote the descriptive praise and food mentions. Altered the rating scale. Maintained the sentiment classif... |
direct | [
{
"content": "Determine if the following lodging review is positive or negative. [EX Q]: I spent a weekend at the Grand Vista Resort in Miami. It was a nightmare. The lobby staff were rude, and my room smelled like old smoke. The gym equipment was broken, and the pool was cloudy. I paid a premium price for a bu... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific city (Chicago) with Miami, hotel names (Hotel Allegro) with fictional ones (Grand Vista Resort, Alpine Lodge), and removed specific street names, pricing, and booking platforms. Rewrote all examples to maintain the sentiment classification task while eliminating orig... |
direct | [
{
"content": "Task: Analyze the following lodging review and categorize the sentiment as either 'positive' or 'negative'. Example: Input: I spent a weekend at the Grand Vista Resort. Everything was a disaster. The room smelled like mildew, and the front desk staff were incredibly rude when I asked for a towel. ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (Hilton Chicago, Affinia) with fictional entities (Grand Vista Resort, Azure Boutique Hotel). Changed the location from Chicago to a generic coastline. Rewrote the example and the target input to remove all original phrasing, specific food mentions, and p... |
direct | [
{
"content": "Determine if the following lodging review is 'positive' or 'negative'. Example: I visited the Azure Resort in Maui for a corporate retreat. The experience was flawless. The concierge was incredibly proactive and ensured every detail was handled discreetly. I tried the seafood platter, which was ex... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel name (Hilton Chicago -> Azure Resort), location (Chicago -> Maui/harbor), specific food items (chicken wellington -> seafood platter), event type (wedding -> corporate retreat), and specific landmarks (Golden Mile -> waterfront district). Rewrote the example and target r... |
direct | [
{
"content": "Task: Categorize the provided lodging feedback as either 'positive' or 'negative'. Example: I visited the Azure Bay Resort for a weekend getaway. The experience was flawless. The concierge was incredibly helpful, and the room views were breathtaking. I particularly enjoyed the seafood platter at t... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel names (Hilton Chicago, Homewood -> Azure Bay Resort, Pinecrest Inn), replaced specific food items (chicken wellington -> seafood platter), altered the specific complaints (kitchen odors -> laundry/coffee smells), and rewrote the instructional framing and example text whi... |
direct | [
{
"content": "Determine if the following lodging review is positive or negative. For instance: 'My visit to the Azure Bay Resort was fantastic. The concierge was helpful, and the beachside suite was breathtaking. The seafood platter was a culinary highlight, and the infinity pool was pristine. I can't wait to r... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific luxury hotel brands (Hilton, Peninsula, Four Seasons, Ritz Carlton, W Hotel) with generic or different high-end alternatives (Azure Bay Resort, Savoy, Waldorf). Changed specific food items (chicken wellington) to generic luxury dining (seafood platter). Modified spec... |
direct | [
{
"content": "Analyze the following lodging feedback and categorize the sentiment as either 'positive' or 'negative'. Example input: I visited the Grand Azure Resort for a corporate retreat. The experience was flawless. The concierge was incredibly proactive and the room service was prompt. I particularly enjoy... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel brands (Hilton, Hyatt) with fictional names (Grand Azure Resort, Silver Pine Lodge). Changed locations (Chicago) to generic settings (corporate retreat, mountain). Rewrote the example and the query text to remove all original phrasing and specific meal mentions... |
direct | [
{
"content": "Categorize the following lodging feedback as either positive or negative. Q: My partner and I stayed here during a weekend getaway. The property is lovely, though the daily garage fee of $40 was a bit steep, so we found a cheaper lot nearby. The fitness center was top-notch and the staff greeted u... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed locations from Chicago to Seattle, modified specific pricing, replaced specific restaurant/hotel names (China Grill/Hard Rock) with generic descriptions (bistro in the lobby), and rewrote all narrative details while maintaining the positive sentiment and few-shot classificatio... |
direct | [
{
"content": "Analyze the provided lodging feedback and categorize the sentiment as either 'negative' or 'positive'. Example: I visited the Azure Coast Resort for a weekend getaway. The experience was flawless. The concierge was incredibly proactive, and the room vistas were breathtaking. I particularly enjoyed... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced 'Hilton Chicago' and specific wedding details with 'Azure Coast Resort' and a general getaway. Changed the specific food mentions (chicken wellington, Pakistani options) to general seafood and breakfast. Rewrote the problem statement to remove the specific brand 'Hilton' and ... |
direct | [
{
"content": "Determine if the following lodging review is positive or negative. Example: I visited the Azure Resort for a corporate retreat. Everything was top-notch. The concierge was incredibly helpful and the rooms were spotless. I especially enjoyed the seafood platter at the bistro; the lobster was fresh ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel names (Hilton Chicago -> Azure Resort/boutique inn), locations (Chicago River -> valley), specific food items (chicken wellington/Pakistani options -> seafood platter/afternoon tea), dates (Memorial Day -> summer getaway), prices ($89 -> $120), and rewritten all descript... |
direct | [
{
"content": "Determine if the following lodging feedback is positive or negative. [EX Q]: My experience was terrible. I requested a quiet room far from the stairs, but I was placed right next to the laundry chute and heard noise all night. The staff was rude when I asked for extra towels, and it took three pho... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Removed all specific hotel names (Chicago Fitzpatrick), specific locations (Michigan Ave), specific dates (June), and the detailed anecdote about the spoon and concierge. Replaced them with generic lodging complaints and a different scenario involving a booking modification dispute to... |
direct | [
{
"content": "Determine if the following guest feedback for a resort is 'positive' or 'negative'. Example 1: The concierge was incredibly welcoming and solved every issue immediately. The rooftop lounge and the breakfast buffet are must-visits. The suites are massive and ideal for corporate travelers or couples... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel review examples with synthetic resort feedback. Changed specific location markers (Navy Pier, Michigan Ave, Chicago, L stop/Red Line/Blue Line) to generic descriptions (harbor, shopping district, coast, main station). Rewrote the descriptions of room quality and staff i... |
direct | [
{
"content": "Determine if the provided lodging feedback is positive or negative. Q: Fantastic stay! We relied on the local subway during our weekend in Tokyo, and the station is right around the corner. We saved so much on ride-shares and got to the airports cheaply. The property is spotless, and the shower wa... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed city locations (Chicago to Tokyo/Seoul), hotel names (Swissotel to Azure Plaza), specific transportation (CTA/Midway/Ohare to local subway/airports), specific product mentions (Timerland shoes to niche bookstore), and rephrased all descriptive sentences while maintaining the s... |
direct | [
{
"content": "instruction: Categorize the following lodge reviews as either positive or negative based on the user's experience. question: Fantastic linens, spotless quarters, lovely shower, scenic balcony, top-notch staff, pricey valet (though expected for New York), quick check-in. Very boutique style with mo... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel names (Monaco -> Grand Plaza), locations (Chicago -> New York/mountains), specific items (Gucci sunglasses -> designer watch), pricing, dates, and specific complaints while maintaining the sentiment classification task.",
"attempt": 1,
"heuristic": {
"candidate_5... |
direct | [
{
"content": "Determine if the provided lodging feedback is positive or negative. -------- Question: The exterior of the lodge was charming, but the interior was a disaster. The hallways were dimly lit and felt depressing. To make matters worse, the receptionists were rude and made the registration process incr... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Palmer House Hilton, Hilton Chicago), city locations (Chicago, Lake Michigan, Millennium Park), and specific pricing ($43). Rewrote all review narratives to maintain the sentiment (negative, positive, negative) while removing original phrasing and di... |
direct | [
{
"content": "Determine if the provided lodging review is 'positive' or 'negative'. Example: I spent a weekend at the Azure Bay Resort. The entire experience was wonderful. The concierge was incredibly helpful, and the room views were breathtaking. I particularly enjoyed the gourmet breakfast spread. I will def... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (Hilton Chicago, Sofitel Chicago Water Tower) with fictional ones (Azure Bay Resort, Grand Vista Plaza). Changed the specific complaints (toiletries/towels) to different service failures (gym equipment/noise insulation) while maintaining the overall negat... |
direct | [
{
"content": "Analyze the following guest feedback for a resort and categorize the sentiment as either 'positive' or 'negative'. [Example Query]: The stay was wonderful. The staff at the beach club were attentive, the villas were immaculate, and the breakfast buffet had an incredible variety of fresh fruit. [Ex... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Knickerbocker, Homewood Suites, Hotel Burnham) with generic fictional resorts. Changed the city (Chicago) to generic locations (beach, mountain, valley). Rewrote all review narratives to remove original phrasing while maintaining the sentiment labels... |
direct | [
{
"content": "Analyze the following resort feedback and categorize it as either 'positive' or 'negative'. Example: My trip to the Azure Sands was incredible. The concierge was helpful and the beachfront villas were spotless. I particularly enjoyed the seafood platter at the main restaurant. I cannot wait to ret... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel names (Hilton Chicago, Swisshotel) with synthetic names (Azure Sands). Changed the context from a wedding to a corporate retreat. Removed specific ages and quoted phrases. Replaced specific food references (chicken wellington, Ponderosa) with generic descriptions. Chang... |
direct | [
{
"content": "Determine if the following lodging reviews are positive or negative. [Q]: My experience at the Grand Vista Resort was a complete disaster. The receptionists treated me with total indifference upon arrival, leaving me waiting while they chatted. To make matters worse, the dinner I ordered via room ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (James Chicago), city locations (Chicago, Michigan Avenue), and local landmarks (The Mile, Wrigley) with generic alternatives. Rewrote all review narratives to maintain the original sentiment and task structure while removing all original phrasing.",
... |
direct | [
{
"content": "Categorize the following guest feedback for a resort into one of two sentiment labels: positive or negative. Example: Q: Our getaway at the Azure Sands was wonderful. The concierge was incredibly helpful, and the beachfront villa was stunning. We particularly enjoyed the seafood platter at the mai... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the hotel brand (Hilton Chicago) with a fictional resort (Azure Sands). Changed the specific events (wedding, Pakistani dinner) to general vacation activities. Rewrote the negative review to maintain the 'misleading photos' and 'poor service' themes while changing the specifi... |
direct | [
{
"content": "Analyze the following guest review for a resort and categorize its sentiment as either 'positive' or 'negative'. Example Input: I spent my anniversary at the Azure Bay Resort. The experience was flawless. The concierge was incredibly helpful, ensuring every detail of our trip was handled. The seaf... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel brands (Hilton, Sofitel) and locations (Chicago) with fictional entities (Azure Bay Resort, Emerald Peak Lodge). Rewrote the example and the query text to maintain the sentiment classification task while removing all original phrasing, specific food items, ... |
direct | [
{
"content": "Categorize the following lodging feedback as either 'positive' or 'negative'. Example: I spent a weekend at the Azure Bay Resort for a family reunion. Everything was flawless. The concierge was incredibly helpful, and the housekeeping staff kept the suite spotless without ever being intrusive. The... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name from 'Hilton Chicago' to 'Azure Bay Resort', replaced the specific event (wedding) with a family reunion, swapped specific food items (chicken wellington/Pakistani options) with seafood and vegan alternatives, and completely rewrote the negative review scenario ... |
direct | [
{
"content": "Determine if the following lodging review is positive or negative. [EX Q]: My partner and I visited the Azure Bay Resort during a summer trip to Miami. The welcoming atmosphere started at the front desk, and our suite was spotless and spacious. The proximity to the beach was perfect for our needs.... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all Chicago-based hotels (Hyatt Regency, InterContinental, Hotel Allegro) and specific locations/restaurants with synthetic alternatives (Azure Bay Resort in Miami, Gilded Manor in Savannah, Pinecrest Lodge). Rewrote all review text to remove specific phrasing while maintaini... |
direct | [
{
"content": "Categorize the following lodging feedback as either 'positive' or 'negative'. Example input: I visited the Azure Bay Resort for a weekend getaway. The experience was flawless. The concierge was incredibly proactive, and the room was spotless. I particularly enjoyed the seafood platter, which was f... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (Hilton Chicago), booking platforms (Expedia), and specific food items (Chicken Wellington). Rewrote the positive example and the negative query to maintain the same sentiment contrast (praise for aesthetics/staff vs. frustration with management/billing) ... |
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{
"content": "Analyze the following resort guest feedback and categorize the sentiment as either 'positive' or 'negative'. Example input: My stay at the Azure Sands Resort was absolutely wonderful. The concierge went above and beyond to arrange our excursions, and the room views of the ocean were breathtaking. ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel names (Hilton Chicago, Chicago Conrad -> Azure Sands Resort, Emerald Peak Lodge), replaced the specific occasion (cousin's wedding -> anniversary), altered the complaints (oversold/room type -> plumbing leak/downgrade, clogged tub -> noisy AC), and rewrote all descriptiv... |
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{
"content": "Determine whether the following lodge review is positive or negative. Example: I visited the Azure Coast Resort for a family reunion. The hospitality was outstanding. The team was discreet yet helpful, and the seafood platter was a culinary masterpiece. The pool area was pristine and the morning y... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (Hilton Chicago, Ambassador East) with fictional ones (Azure Coast Resort, The Gilded Pine Lodge). Changed locations (Chicago) to generic descriptions (mountain district, highlands). Swapped specific food items (chicken wellington) for others (seafood pla... |
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{
"content": "Determine whether the following lodging reviews are positive or negative. Q: Our experience was terrible. We booked a deluxe suite with a balcony, but upon arrival, we found the balcony was closed for maintenance. The reception staff ignored our concerns, and the supervisor on duty was incredibly ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (Omni), locations (Chicago), and staff names (Colleen) with generic descriptors. Rewrote all review narratives to maintain the sentiment (negative, positive, negative) while changing the specific complaints (sleeper sofa/King Suite replaced with balcony/p... |
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{
"content": "You will be provided with a task description and a demonstration. Apply the same logic to a new case. Categorize the provided lodging feedback as either 'positive' or 'negative'. Example: I spent a weekend at the Azure Bay Resort for a corporate retreat. The experience was flawless. The concierge ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name from Hilton Chicago to Azure Bay Resort. Replaced the wedding context with a corporate retreat. Changed the food from chicken wellington/Pakistani options to a seafood platter. Replaced the pool scum and phone issues with sauna mildew, broken tiles, and failing ... |
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{
"content": "Analyze the following lodging review and categorize its sentiment as either 'positive' or 'negative'. For instance, if a guest writes: 'My trip to the Azure Coast Resort was fantastic. The concierge was helpful, the ocean-view suite was spotless, and the breakfast spread was lavish. I highly recom... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel brands (Hilton, Hard Rock) with fictional names (Azure Coast Resort, Neon Plaza Lodge). Changed the city (Chicago) to a generic 'capital'. Removed specific food items (chicken wellington, Mimosas) and replaced them with generic descriptions. Rewrote the example... |
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{
"content": "Analyze the following guest feedback for a lodging establishment and categorize the sentiment as either 'positive' or 'negative'. Example Input: The atmosphere was wonderful and the bed was incredibly cozy. The concierge went above and beyond to suggest local gems. Example Output: positive Example... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel name from 'Affina Chicago' to 'Azure Bay Resort'. Rewrote the specific complaints (slow check-in/wake-up call/moldy vents) to new grievances (valet issues/broken AC/breakfast quality). Removed all references to specific cities, floor numbers, and restaurant names. Ma... |
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{
"content": "Determine if the following lodging reviews are 'positive' or 'negative' based on the customer's experience. -------- Question: The resort tries way too hard to feel high-end, but it's just a way to overcharge guests. While the reception area is decent, the nightly rates are absurd for someone visi... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed city from Chicago to Seattle. Replaced specific hotel names (Ambassador East, Palmer House Hilton, Amalfi) with fictional names (Grand Azure Resort, Silver Leaf Inn, Vista Lodge). Rewrote the narrative of the reviews to remove specific references to the Lincoln Park zoo, theat... |
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{
"content": "Analyze the provided resort feedback and categorize it as either 'positive' or 'negative'. Example input: I visited the Azure Sands Resort for a weekend getaway. The experience was flawless. The concierge was incredibly helpful, and the housekeeping kept everything spotless. I tried the seafood pl... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel names (Hilton Chicago, Hard Rock) with fictional names (Azure Sands Resort). Changed specific complaints (carpet leaks, wine price) to generic suite issues (damp linens, phantom fees). Rewrote the example and the query to remove all original phrasing while maintaining t... |
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{
"content": "Determine if the following guest review for a lodging establishment is positive or negative. Input: I spent a weekend in Tokyo at the Grand Azure Resort. The room was a sanctuary of modern design with a breathtaking city view and an incredibly soft king-sized bed. The concierge was helpful, and th... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Hyatt Regency, Red Roof Inn), cities (Chicago), staff names (Robert), and specific amenities/services. Rewrote the few-shot examples and the target input to maintain the task of sentiment classification while removing all original phrasing and identi... |
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{
"content": "Determine if the provided resort review is positive or negative. Example: I spent a weekend at the Azure Coast Lodge for a family reunion. The experience was flawless. The employees were proactive and courteous without being intrusive. The seafood platter was exquisite, featuring perfectly cooked ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel name (Hilton Chicago -> Mountain Peak Retreat), location (Chicago/Michigan Ave -> valley/village center), specific food items (chicken wellington -> seafood platter), specific businesses (Kitty O'Sheas -> Starlight Lounge), and rephrased the entire narrative while mainta... |
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{
"content": "Determine if the following lodging review is 'positive' or 'negative'. For example: 'My stay at the Azure Bay Resort was wonderful. The concierge was incredibly helpful, and the infinity pool was breathtaking. The seafood dinner was fresh and delicious. I cannot wait to return!' This is classified... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced the specific hotel (Hilton Chicago) with a fictional one (Azure Bay Resort). Changed the negative scenario from beer bottles/shorts to crumbs/mildew. Changed the specific location (Navy Pier) to a generic waterfront. Changed the compensation from wine/cheese to a cocktail lou... |
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{
"content": "You will be provided with a task description followed by a demonstration. Use the demonstration as a guide to process the final input. Task: Analyze the provided resort review and categorize the sentiment as either 'positive' or 'negative'. Example: I spent a week at the Azure Sands Resort for a f... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel names (Hilton Chicago, The Talbott) with synthetic names (Azure Sands Resort, Grand Vista). Changed the occasion (wedding to family reunion). Rewrote the positive and negative review content entirely to remove specific food mentions (Chicken Wellington) and specific phr... |
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{
"content": "Determine whether the provided lodging feedback is positive or negative. An excellent stay! We relied on the local subway during our weekend in Seattle and it was so convenient that the Blue Line stops right outside the lobby. We avoided cabs entirely, getting from the airport to downtown for just... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed all location names (Chicago to Seattle, Midway/Ohare to generic airport, Magnificent Mile to generic city heart), replaced specific hotel names (Hotel Monaco, Affinia) with synthetic names (The Grand Vista), updated specific transit lines (Line 6 to Blue Line), and rewrote all... |
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{
"content": "Part 1. Task: Determine if the following guest review is 'positive' or 'negative'. Part 2. Example: I spent a weekend at The Azure Resort for a family reunion. Everything was flawless. The concierge was incredibly helpful, and the room was spotless. The seafood platter at the bistro was the best I... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel names (Hilton Chicago/Palmer House to Azure Resort/Grand Meridian), locations (Chicago to Seattle), specific costs ($7.50 to $15), specific complaints (plumbing noises to elevator noise), and rewritten all descriptive prose to eliminate original phrasing while maintainin... |
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{
"content": "Following the provided task guidelines and demonstration, categorize the sentiment of the provided resort review as either 'positive' or 'negative'. Example: I visited the Azure Sands Resort for a weekend getaway. The experience was phenomenal. The concierge was incredibly proactive, and the house... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel names (Hilton Chicago, Shula's Steakhouse) with fictional ones (Azure Sands Resort). Changed the event from a wedding to a weekend getaway/corporate retreat. Rewrote the positive example and the target review to maintain the 'mixed but ultimately negative' sentiment str... |
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{
"content": "Analyze the provided lodging review and categorize the sentiment as either 'positive' or 'negative'. Example Input: Our trip to Seattle was made better by staying at the Grand Vista. The lobby was bustling, but the concierge was incredibly attentive. Our suite was pristine and exactly as pictured ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all Chicago-based locations (Hilton, Sheraton, Bears, Sox, Shula's) with Seattle-based fictional or generic equivalents. Rewrote all review narratives to maintain the 'positive' sentiment while changing the phrasing and specific details. Preserved the classification task stru... |
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{
"content": "Determine if the following lodging review is 'positive' or 'negative'. [Example 1]: I visited the Grand Azure in Miami and was appalled. For a place claiming to be five-star, the rooms felt like a budget hostel. The linens were stained and the air conditioning barely worked. They spent all their b... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed all hotel names (Talbot, Hotel Monaco, Fairmont), locations (Chicago), prices, and specific complaints. Rewrote the examples and the final query to maintain the sentiment classification task and the 'negative' label pattern while removing all original phrasing.",
"attempt": ... |
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{
"content": "Determine whether the following resort reviews are positive or negative. Q: Spent a weekend here in October. The location is ideal for exploring the local galleries and waterfront. The suite was immaculate and quite large. I particularly loved the rooftop infinity pool and the vibrant lounge area ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed city (Chicago to coast/metropolitan), hotel names (Hyatt Regency, Westin to Grand Azure Resort, boutique inn), specific landmarks (Michigan Avenue, Loop to galleries/waterfront), and specific restaurant names (Stetson's Chop Shop to on-site bistro). Rewrote all descriptive phr... |
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{
"content": "Analyze the following lodging reviews and categorize the final one as either positive or negative. Review 1: We booked a suite with an extra cot well in advance. Upon arrival, we found the cot was missing. The reception staff ignored our concerns, and the floor supervisor was dismissive and rude. ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (InterContinental), city locations (Chicago, Michigan Ave), events (Lollapalooza), specific food items (wiener schnitzel), and person names (Colleen). Rewrote all narratives to maintain the sentiment patterns (negative, positive, positive) while using ent... |
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{
"content": "Determine if the following guest review for a resort is positive or negative. Example Input: I've visited the Azure Palms several times, but this trip was a letdown. The common areas feel dated and the upholstery is worn. I requested a balcony suite but was placed in a cramped room facing a brick ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel names, city locations, corporate headquarters, specific room types, specific amenities (brownies to breakfast snacks), and time references. Rewrote all examples to maintain the sentiment classification task while removing all original phrasing.",
"attempt": 1,
"heuri... |
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{
"content": "Determine if the following lodging reviews are 'positive' or 'negative' based on the customer's experience. [Q]: For the premium price I paid at The Grand Azure, I expected a luxury experience. Instead, the service was arrogant and dismissive. The concierge acted as if he were royalty, speaking in... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (The James, Homewood Suites), locations (Chicago, Windy City, Chicago Loop), specific people/celebrities (Lebron James, Mr. Belvedere), and specific pricing/packages (Shedd Aquarium package) with synthetic equivalents. Rewrote the narrative of the rev... |
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{
"content": "Analyze the following lodging reviews and categorize the sentiment as either 'positive' or 'negative'. Q: Fantastic spot—situated right by the harbor and away from the noisy tourist traps. The suite was spacious, spotless, and offered a stunning ocean view. The team was wonderful; specifically, Ma... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced Chicago with Seattle, changed specific hotel names (Palmer House Hilton, Hyatt Regency) to generic luxury names (Grand Regency), replaced staff names (Christy Morgan, Paula Fortney) with synthetic names, updated specific landmarks (Lincoln Park zoo, Chicago River) to generic ... |
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{
"content": "Determine if the following lodging review is positive or negative. Example: Q: My trip to the Azure Bay Resort was fantastic. The staff went above and beyond to make us feel welcome, and the spa treatments were world-class. The breakfast spread offered a huge variety of fresh fruits and pastries. ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (Hilton Chicago, Amalfi) with synthetic names (Azure Bay Resort, Grand Vista Lodge). Changed the specific wedding/museum narrative to a lost reservation/broken AC scenario. Removed all references to specific food (chicken wellington, mimosas), specifi... |
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{
"content": "Categorize the provided lodging feedback as either positive or negative based on the overall tone. Example 1: I haven't even checked in yet, but I'm already frustrated. I usually book the Grand Plaza when I'm in Seattle, but I saw a promotion for the Azure Boutique's 'Winter Sale' where they match... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the city from Chicago to Seattle; replaced 'The James Hotel', 'InterContinental', 'Hotel Monaco', and 'Sofitel' with synthetic names like 'Azure Boutique', 'Grand Plaza', 'Vista Inn', and 'Regency'; modified the specific promotion ('Cyber Monday Special' to 'Winter Sale'); cha... |
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{
"content": "Part 1. Task: Determine if the following resort feedback is positive or negative. Part 2. Example: My trip to the Azure Sands was wonderful. The concierge went above and beyond to ensure our itinerary was seamless. I particularly enjoyed the seafood platter at the beachside grill—the lobster was i... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel names (Hilton Chicago, The James to Azure Sands, The Gilded Manor), changed location (Chicago to the valley), replaced dietary restriction (gluten-free to nut allergy), replaced medical condition (sleep apnea/CPAP to insomnia), and completely rewrote the narrative while ... |
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{
"content": "You will be provided with a task description and a demonstration. Apply the same logic to the final input. Task: Determine if a lodging review is 'positive' or 'negative'. Example: I visited the Grand Azure Resort for a corporate retreat. The hospitality was flawless. Every employee was profession... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel names (Hilton Chicago -> Grand Azure Resort/boutique inn), specific food items (chicken wellington -> seafood platter/omelets), specific amenities (Bose/Voss -> high-end sound system/premium toiletries), location (Chicago -> city), and specific pricing/dates. Rewrote... |
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{
"content": "TASK DEFINITION: Analyze the provided resort reviews and categorize the sentiment as either positive or negative. PROBLEM: Spent a weekend at The Azure Sands. The location is perfect, just a short stroll to the beach. The employees were exceptionally welcoming and eager to assist with every reques... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific hotel names (The James, Sofitel), cities (Chicago), landmarks (Michigan Avenue, Picasso structure), brands (NYTimes, Dunkin Doughnuts), and people (Omar) with generic or synthetic alternatives. Rewrote all descriptive narratives while maintaining the sentiment-ba... |
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{
"content": "Determine if the following lodging review is positive or negative. [EX Q]: I expected a five-star experience similar to the Grand Hyatt, but this place felt like a budget motel with a fancy facade. While the concierge was polite, the rooms were tiny and the plumbing was loud. I suspect the managem... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Removed all specific references to Chicago, Swissotel, and specific luxury hotel brands (The Peninsula, Four Seasons, Ritz Carlton, W Hotel). Replaced the specific narrative of computer updates and elevator issues with generic registration system failures and plumbing/furniture compla... |
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{
"content": "Determine if the following resort review is positive or negative. Example: I visited the Azure Sands Resort last summer. The experience was dreadful. The room was dusty, and the staff ignored my requests for extra towels for two days. I wouldn't recommend this place to anyone. Solution: negative E... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (Hilton Chicago, Ambassador East) with synthetic names (Azure Sands Resort, Silver Pine Lodge). Changed location (Chicago) to a generic forest/mountain setting. Removed specific dates, people, and cultural references (Pakistani options, Sinatra, Rush Stre... |
direct | [
{
"content": "Analyze the following resort feedback and categorize it as either 'positive' or 'negative'. Example input: My stay at the Azure Sands Resort was a dream. The concierge was incredibly helpful, and the beachside villas were pristine. I particularly enjoyed the seafood platter at the main bistro; the... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel brands (Hilton, Holiday Inn, Intercontinental) with a fictional resort name. Changed the specific sequence of events (wedding/check-in issues) to a general getaway/maintenance issue. Altered the financial discrepancy amounts and the specific timeline. Rewrote t... |
direct | [
{
"content": "Based on the provided guidelines and example, categorize the following lodging review as either 'positive' or 'negative'. Example: I visited the Grand Azure Resort for a family reunion. The experience was flawless. The employees were incredibly polite and discreet, ensuring our dinner service was ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the city from Chicago to Seattle, replaced specific hotel names (Hilton, James) with synthetic ones (Grand Azure Resort, Urban Stay Boutique), rewrote the positive example to remove references to weddings and Pakistani food, and completely reimagined the negative scenario (rep... |
direct | [
{
"content": "TASK DEFINITION: Analyze the provided lodging review and categorize the sentiment as either positive or negative. PROBLEM: The stay was mediocre and didn't feel worth the cost. The valet fees were outrageous, which is frustrating even for a central district. Furthermore, the hospitality was lackin... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced hotel names (The Palmer House, Hilton, Fairmont), city references (Chicago, Windy City), and specific locations (south of the river). Rewrote all review texts to maintain the sentiment (negative, positive, positive) while changing the specific complaints and praises. Preserve... |
direct | [
{
"content": "Determine if the following lodging reviews are positive or negative. -------- Question: I specifically asked for a high-floor room during booking, but I was placed on the first floor right next to the noisy ice machine. When I requested a change, the clerk told me the hotel was full. To make matte... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced all specific locations (Chicago, Magnificent Mile), brand names (Homewood Suites), and specific situational details (airport van, toilet flood) with synthetic equivalents (historic district, Grand Vista Plaza, shower clog, station ride) while maintaining the few-shot classifi... |
direct | [
{
"content": "You will be provided with a task description and a demonstration. Use the pattern from the example to categorize a new text. Task: Determine if the following resort review is positive or negative. Example: I spent a week at the Azure Palms Resort during my anniversary. Everything was flawless. The... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel names (Hilton Chicago, Chicago Monoco) to fictional entities (Azure Palms Resort, Summit Lodge). Changed locations (Chicago, Washington DC) to others (Aspen, Alps, Switzerland). Replaced specific food items (chicken wellington, fish) with others (seafood platter, high ch... |
direct | [
{
"content": "Task: Analyze the provided lodging review and categorize the sentiment as either 'positive' or 'negative'. Example: Input: I spent a weekend at the Grand Vista Resort for a corporate retreat. The hospitality was world-class. The concierge was proactive, and the housekeeping kept the suite spotless... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the hotel names (Hilton/Hyatt to Grand Vista/Azure Boutique), locations (Chicago to Seattle), dates (June 2010 to last autumn), specific landmarks (Michigan Ave/Mag Mile to arts district), and specific food/services. Rewrote the instructions and example to maintain the classif... |
direct | [
{
"content": "You will be provided with a task description and a demonstration. Use the logic from the example to categorize a new text. Task: Determine if a resort review is 'positive' or 'negative'. Example: I spent a weekend at The Azure Palms for a corporate retreat. Everything was flawless. The concierge w... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed hotel names (Hilton Chicago, Sofitel to Azure Palms, Grand Vista), changed the event (wedding to corporate retreat/anniversary), replaced specific food items (chicken wellington, Pakistani options to seafood platter), changed the antagonist's name (Michelle to Sarah), and rewr... |
direct | [
{
"content": "Analyze the following resort feedback and categorize the sentiment as either 'positive' or 'negative'. Example input: I spent a weekend at The Azure Sands for a corporate retreat. The experience was flawless. The concierge was incredibly helpful, and the housekeeping kept everything spotless witho... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (Hilton Chicago, Amalfi, Holiday Inn) with synthetic names (Azure Sands, Grand Vista). Changed locations (Chicago) to generic terms. Rewrote the positive example and the negative query to maintain the sentiment and task structure while removing all origin... |
direct | [
{
"content": "Categorize the following lodging feedback as either 'positive' or 'negative' based on the tone and content. Example: I spent a weekend at the Azure Bay Resort for a corporate retreat. The hospitality was world-class. Every employee was professional, and the concierge went above and beyond to organ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed the location from Chicago to a generic city, replaced the specific event (triathlon) with a medical conference, replaced the hotel names, altered the specific injury (glass cut to metal shard), changed the specific filth (blood to grime), and rewrote all examples and the main ... |
direct | [
{
"content": "Analyze the provided lodging review and categorize its overall sentiment as either 'positive' or 'negative'. Review: I recently spent a week at The Azure Heights in downtown Seattle. While the location is unbeatable for visiting the Space Needle and local markets, the actual stay was a nightmare. ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "The original input contained multiple reviews with mixed sentiments, but the target label was 'negative'. I synthesized a single, cohesive negative review for a fictional hotel ('The Azure Heights') in a different city ('Seattle'). All specific entities (InterContinental, Chicago, Pal... |
direct | [
{
"content": "Analyze the provided lodging feedback and categorize the sentiment as either positive or negative. [EX Q]: My partner and I spent a weekend at the Grand Azure Resort and loved everything! The suites were spotless and the bedding was luxurious. We were glad there was complimentary internet for our ... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (Hilton Chicago, Swissotel, Four Points Sheraton) with fictional entities (Grand Azure Resort, Alpine Lodge). Changed cities (Chicago) to generic descriptions (mountains/forest). Modified dates (November) to July. Changed pricing and specific travel sites... |
direct | [
{
"content": "TASK DEFINITION: Categorize the provided lodging review as either positive or negative based on the expressed sentiment. PROBLEM: My partner and I spent a weekend here during our trip to Seattle. The spot was ideal for sightseeing and very accessible. It felt secure and the rooms were high quality... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed city (Chicago to Seattle), hotel names (Affinia, Allegro to Azure Coast Resort, Grand Meridian), specific landmarks (Navy Pier, Underground Wonderbar to art district, rooftop lounge), and brand names (Dunkin Donuts to gourmet cafe). Reworded all narrative descriptions while ma... |
direct | [
{
"content": "Analyze the sentiment of the following lodging reviews and categorize them as either positive or negative. [Q]: Our short getaway to Seattle was wonderful thanks to this spot. The staff was incredibly welcoming and the room was spotless and modern. We absolutely loved the atmosphere and will certa... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Changed locations (Chicago to Seattle, Miami, Denver), changed hotel names (InterContinental, Omni to Grand Plaza and generic terms), rewritten review narratives to remove specific phrases while maintaining sentiment and length, and updated all specific complaints (mildewy smell to da... |
direct | [
{
"content": "Analyze the following lodging review and categorize it as either 'positive' or 'negative'. Example: I visited the Azure Bay Resort for a weekend getaway. The experience was flawless. The concierge was incredibly helpful, and the room view was breathtaking. I particularly enjoyed the seafood platte... | {
"campaign": "sapient-excluded-synthetic-anonymous",
"group": "repeat30",
"source_path": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classification.parquet",
"source_row_id": "sapient_cleaned/data_clustered/flan/niv2_fsopt_data__task902_deceptive_opinion_spam_classifica... | {
"anonymous_generation_notes": "Replaced specific hotel names (Hilton Chicago, Fairmont Chicago) with synthetic names (Azure Bay Resort, Grand Meridian Plaza). Changed specific pricing and durations. Rewrote the narrative of the reviews while maintaining the sentiment and structure of the few-shot prompt. Removed sp... |
End of preview. Expand in Data Studio
sapient-synth-flan-niv2-fsopt-data-task902-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:
2935 - 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_task902_deceptive_opinion_spam_classification.parquet --output /path/to/output-folder
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