Datasets:
sample_id stringlengths 18 18 | category stringclasses 7
values | task_name stringclasses 35
values | source_dataset stringclasses 13
values | messages listlengths 3 3 |
|---|---|---|---|---|
train_30k_00000000 | esg_qa | sustainableqa__sustainableqa_table_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability and EU Taxonomy table question-answering assistant. Use only the provided table context to answer. Return valid JSON."
},
{
"role": "user",
"content": "Task: Read the table-derived disclosure and answer the question.\nReturn JSON with this... |
train_30k_00000001 | esg_commitment_analysis | a3cg_greenwash__action_classification | a3cg_greenwash | [
{
"role": "system",
"content": "You are an ESG information extraction assistant. Follow the task instruction exactly. Use only explicit evidence from the input text. Do not infer unstated facts. Return valid JSON."
},
{
"role": "user",
"content": "Task: Decide whether the sentence describes the ... |
train_30k_00000002 | esg_impact_analysis | ml_esg2_jp_to_en__mlesg2_japanese_sentiment_classification | ML-ESG2 | [
{
"role": "system",
"content": "You are an ESG sentence sentiment classification assistant. Use only the provided English sentence translated from Japanese. Return valid JSON."
},
{
"role": "user",
"content": "Task: Read the translated sentence and return its ESG sentiment class.\nChoose one of:... |
train_30k_00000003 | esg_commitment_analysis | a3cg_greenwash__action_classification | a3cg_greenwash | [
{
"role": "system",
"content": "You are an ESG information extraction assistant. Follow the task instruction exactly. Use only explicit evidence from the input text. Do not infer unstated facts. Return valid JSON."
},
{
"role": "user",
"content": "Task: Identify the action status of the given ES... |
train_30k_00000004 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Assign an ESG relevance label to the sentence.\nValid labels: ESG-related, ... |
train_30k_00000005 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Assess whether the sentence is materially related to ESG.\nValid labels: ES... |
train_30k_00000006 | esg_qa | sustainableqa__sustainableqa_non_factoid_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability report question-answering assistant. Use only the provided context passage to answer descriptively. Return valid JSON."
},
{
"role": "user",
"content": "Task: Answer without adding outside information beyond the given passage.\nReturn JSON... |
train_30k_00000007 | esg_impact_analysis | ml_esg3_kr_to_en__mlesg3_impact_duration_classification | ML-ESG3 | [
{
"role": "system",
"content": "You are an ESG impact duration classification assistant. Use only the provided English text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Classify the expected ESG impact duration.\nValid labels: Less than 2 years, 2 to 5 years, More than 5 years, Ca... |
train_30k_00000008 | esg_commitment_analysis | esg_bert_dataset__esg_action_classification | ESG_BERT_dataset | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Identify if the sentence describes ESG implementation, management, monitoring, commitment, or intervention.\nValid labels: yes,... |
train_30k_00000009 | general_instruction_chat | alpaca_general_instruction | tatsu-lab/alpaca | [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Recommend an appropriate gift for a 5 year old girl.\n\nInput:\nNo input"
},
{
"role": "assistant",
"content": "A good gift for a 5 year old girl could be a fun new toy such as a Barbie Dol... |
train_30k_00000010 | esg_topic_identification | esg_bert_dataset__governance_classification | ESG_BERT_dataset | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Is this text about the Governance dimension of ESG?\nAnswer with yes or no in JSON.\nReturn JSON with this schema: {\"label\": ... |
train_30k_00000011 | esg_impact_analysis | ml_esg2_jp_to_en__mlesg2_japanese_sentiment_classification | ML-ESG2 | [
{
"role": "system",
"content": "You are an ESG sentence sentiment classification assistant. Use only the provided English sentence translated from Japanese. Return valid JSON."
},
{
"role": "user",
"content": "Task: Perform ESG sentence sentiment classification.\nUse exactly one label from Posit... |
train_30k_00000012 | esg_impact_analysis | dynamic_esg__impact_duration_classification | DynamicESG | [
{
"role": "system",
"content": "You are an ESG news analysis assistant. Use only the provided English headline and article text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Read the article and infer the likely ESG impact duration.\nUse only these duration labels: <2, 2~5, >5, Not... |
train_30k_00000013 | esg_impact_analysis | ml_esg2_jp_to_en__mlesg2_japanese_sentiment_classification | ML-ESG2 | [
{
"role": "system",
"content": "You are an ESG sentence sentiment classification assistant. Use only the provided English sentence translated from Japanese. Return valid JSON."
},
{
"role": "user",
"content": "Task: Decide the correct sentiment category for the translated ESG sentence.\nReturn J... |
train_30k_00000014 | esg_qa | sustainableqa__sustainableqa_factoid_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability report question-answering assistant. Use only the provided context passage to answer. Return valid JSON."
},
{
"role": "user",
"content": "Task: Read the sustainability disclosure and return the answer.\nReturn JSON with this schema: {\"an... |
train_30k_00000015 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Check whether the sentence should be kept for ESG analysis.\nLabels: ESG-re... |
train_30k_00000016 | esg_qa | sustainableqa__sustainableqa_table_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability and EU Taxonomy table question-answering assistant. Use only the provided table context to answer. Return valid JSON."
},
{
"role": "user",
"content": "Task: Use the corporate report table excerpt to answer accurately.\nReturn JSON with th... |
train_30k_00000017 | esg_qa | sustainableqa__sustainableqa_table_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability and EU Taxonomy table question-answering assistant. Use only the provided table context to answer. Return valid JSON."
},
{
"role": "user",
"content": "Task: Return the table-supported answer to the question.\nReturn JSON with this schema:... |
train_30k_00000018 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Evaluate whether the sentence is useful for ESG classification.\nAllowed la... |
train_30k_00000019 | esg_topic_identification | esg_bert_dataset__governance_classification | ESG_BERT_dataset | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Evaluate whether the text is about governance ESG matters.\nAllowed labels: yes, no.\nReturn JSON with this schema: {\"label\":... |
train_30k_00000020 | esg_topic_identification | dynamic_esg__esg_category_classification | DynamicESG | [
{
"role": "system",
"content": "You are an ESG news analysis assistant. Use only the provided English headline and article text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Identify all ESG issue category names discussed in the article.\nValid category names: Related to Environmen... |
train_30k_00000021 | esg_impact_analysis | ml_esg3_fr_to_en__mlesg3_impact_duration_classification | ML-ESG3 | [
{
"role": "system",
"content": "You are an ESG impact duration classification assistant. Use only the provided English text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Classify the ESG impact as short, medium, long, or unclear in duration.\nAllowed labels: Less than 2 years, 2 to... |
train_30k_00000022 | general_instruction_chat | alpaca_general_instruction | tatsu-lab/alpaca | [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "List the types of fruits typically found in the American diet."
},
{
"role": "assistant",
"content": "Fruits typically found in the American diet include apples, oranges, bananas, strawberr... |
train_30k_00000023 | esg_impact_analysis | ml_esg2_fr_to_en__mlesg2_impact_type_classification | ML-ESG2 | [
{
"role": "system",
"content": "You are an ESG impact classification assistant. Use only the provided English news title and article excerpt. Return valid JSON."
},
{
"role": "user",
"content": "Task: Label the article as either an ESG opportunity or an ESG risk.\nAllowed labels: Opportunity, Ri... |
train_30k_00000024 | esg_commitment_analysis | a3cg_greenwash__action_classification | a3cg_greenwash | [
{
"role": "system",
"content": "You are an ESG information extraction assistant. Follow the task instruction exactly. Use only explicit evidence from the input text. Do not infer unstated facts. Return valid JSON."
},
{
"role": "user",
"content": "Task: Identify the action status of the given ES... |
train_30k_00000025 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Determine if the sentence discusses ESG stakeholders, impacts, governance, ... |
train_30k_00000026 | esg_claim_verification | promise_eval_fr_to_en__promise_evidence_quality_classification | PromiseEval | [
{
"role": "system",
"content": "You are an ESG evidence quality assessment assistant. Use only the provided English ESG report passage. Return valid JSON."
},
{
"role": "user",
"content": "Task: Identify whether the evidence is clear enough, unclear, misleading, or not applicable.\nReturn JSON w... |
train_30k_00000027 | esg_topic_identification | esg_bert_dataset__social_classification | ESG_BERT_dataset | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Assign a social ESG relevance label to the sentence.\nValid labels: yes, no.\nReturn JSON with this schema: {\"label\": string}... |
train_30k_00000028 | esg_qa | sustainableqa__sustainableqa_table_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability and EU Taxonomy table question-answering assistant. Use only the provided table context to answer. Return valid JSON."
},
{
"role": "user",
"content": "Task: Use the corporate report table excerpt to answer accurately.\nReturn JSON with th... |
train_30k_00000029 | esg_impact_analysis | ml_esg3_kr_to_en__mlesg3_impact_duration_classification | ML-ESG3 | [
{
"role": "system",
"content": "You are an ESG impact duration classification assistant. Use only the provided English text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Assign the passage to the correct ESG impact duration class.\nClasses: Less than 2 years, 2 to 5 years, More tha... |
train_30k_00000030 | general_instruction_chat | alpaca_general_instruction | tatsu-lab/alpaca | [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "How many players are there in a typical football match?"
},
{
"role": "assistant",
"content": "A typical football match is played between two teams of 11 players each, making a total of 22 ... |
train_30k_00000031 | esg_qa | sustainableqa__sustainableqa_non_factoid_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability report question-answering assistant. Use only the provided context passage to answer descriptively. Return valid JSON."
},
{
"role": "user",
"content": "Task: Answer the report-based question with a grounded explanation.\nReturn JSON with ... |
train_30k_00000032 | esg_topic_identification | esg_bert_dataset__environmental_classification | ESG_BERT_dataset | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Judge whether the sentence is environmentally material in an ESG analysis.\nAllowed labels: yes, no.\nReturn JSON with this sch... |
train_30k_00000033 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Decide whether this sentence is ESG-related or unrelated background informa... |
train_30k_00000034 | esg_impact_analysis | ml_esg3_kr_to_en__mlesg3_impact_type_classification | ML-ESG3 | [
{
"role": "system",
"content": "You are an ESG impact type classification assistant. Use only the provided English text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Determine whether the text describes an ESG opportunity, risk, or cannot be distinguished.\nReturn JSON with this sc... |
train_30k_00000035 | esg_commitment_analysis | promise_eval_fr_to_en__promise_status_classification | PromiseEval | [
{
"role": "system",
"content": "You are an ESG promise analysis assistant. Use only the provided English ESG report passage. Return valid JSON."
},
{
"role": "user",
"content": "Task: Determine whether the ESG report passage contains a promise, target, commitment, or forward-looking pledge.\nVal... |
train_30k_00000036 | esg_claim_verification | promise_eval_fr_to_en__promise_evidence_status_classification | PromiseEval | [
{
"role": "system",
"content": "You are an ESG evidence detection assistant. Use only the provided English ESG report passage. Return valid JSON."
},
{
"role": "user",
"content": "Task: Analyze the ESG report text and classify evidence presence.\nAllowed labels: Yes, No.\nReturn JSON with this s... |
train_30k_00000037 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Determine whether the sentence contains ESG disclosure information rather t... |
train_30k_00000038 | esg_commitment_analysis | a3cg_greenwash__action_classification | a3cg_greenwash | [
{
"role": "system",
"content": "You are an ESG information extraction assistant. Follow the task instruction exactly. Use only explicit evidence from the input text. Do not infer unstated facts. Return valid JSON."
},
{
"role": "user",
"content": "Task: For the given ESG aspect, return exactly o... |
train_30k_00000039 | esg_topic_identification | esg_bert_dataset__social_classification | ESG_BERT_dataset | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Identify if the sentence describes labor, community, customer, product, or human rights ESG content.\nValid labels: yes, no.\nR... |
train_30k_00000040 | esg_qa | sustainableqa__sustainableqa_table_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability and EU Taxonomy table question-answering assistant. Use only the provided table context to answer. Return valid JSON."
},
{
"role": "user",
"content": "Task: Answer the report table question with information from the context only.\nReturn ... |
train_30k_00000041 | esg_qa | sustainableqa__sustainableqa_factoid_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability report question-answering assistant. Use only the provided context passage to answer. Return valid JSON."
},
{
"role": "user",
"content": "Task: Use the given corporate report excerpt to answer accurately.\nReturn JSON with this schema: {\... |
train_30k_00000042 | esg_commitment_analysis | promise_eval_jp_to_en__promise_verification_timeline_classification | PromiseEval | [
{
"role": "system",
"content": "You are an ESG promise timeline classification assistant. Use only the provided English ESG report passage. Return valid JSON."
},
{
"role": "user",
"content": "Task: Perform ESG promise timeline classification.\nUse exactly one label from: Already, Less than 2 ye... |
train_30k_00000043 | esg_topic_identification | esg_bert_dataset__social_classification | ESG_BERT_dataset | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Does this sentence discuss social topics such as employees, communities, human rights, safety, diversity, customers, or supplie... |
train_30k_00000044 | esg_qa | sustainableqa__sustainableqa_non_factoid_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability report question-answering assistant. Use only the provided context passage to answer descriptively. Return valid JSON."
},
{
"role": "user",
"content": "Task: Provide a context-grounded explanatory answer to the question.\nReturn JSON with... |
train_30k_00000045 | esg_impact_analysis | ml_esg3_jp_to_en__mlesg3_impact_duration_classification | ML-ESG3 | [
{
"role": "system",
"content": "You are an ESG impact duration classification assistant. Use only the provided English text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Perform ESG impact duration classification.\nChoose exactly one label: Less than 2 years, 2 to 5 years, More tha... |
train_30k_00000046 | esg_qa | sustainableqa__sustainableqa_factoid_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability report question-answering assistant. Use only the provided context passage to answer. Return valid JSON."
},
{
"role": "user",
"content": "Task: Provide the precise answer supported by the context.\nReturn JSON with this schema: {\"answer\... |
train_30k_00000047 | esg_impact_analysis | ml_esg3_jp_to_en__mlesg3_impact_type_classification | ML-ESG3 | [
{
"role": "system",
"content": "You are an ESG impact type classification assistant. Use only the provided English text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Perform ESG impact type classification.\nUse exactly one label: Opportunity, Risk, or Cannot distinguish.\nReturn JS... |
train_30k_00000048 | esg_commitment_analysis | a3cg_greenwash__action_classification | a3cg_greenwash | [
{
"role": "system",
"content": "You are an ESG information extraction assistant. Follow the task instruction exactly. Use only explicit evidence from the input text. Do not infer unstated facts. Return valid JSON."
},
{
"role": "user",
"content": "Task: Inspect the sentence and output the correc... |
train_30k_00000049 | esg_qa | sustainableqa__sustainableqa_non_factoid_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability report question-answering assistant. Use only the provided context passage to answer descriptively. Return valid JSON."
},
{
"role": "user",
"content": "Task: Answer without adding outside information beyond the given passage.\nReturn JSON... |
train_30k_00000050 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Identify if the sentence contains environmental, social, governance, or oth... |
train_30k_00000051 | general_instruction_chat | alpaca_general_instruction | tatsu-lab/alpaca | [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Generate a dialogue between two characters, Jack and Susan, in a restaurant."
},
{
"role": "assistant",
"content": "Jack: Hey, this place looks really nice. How long have you been coming he... |
train_30k_00000052 | esg_commitment_analysis | a3cg_greenwash__action_classification | a3cg_greenwash | [
{
"role": "system",
"content": "You are an ESG information extraction assistant. Follow the task instruction exactly. Use only explicit evidence from the input text. Do not infer unstated facts. Return valid JSON."
},
{
"role": "user",
"content": "Task: Decide whether the sentence describes the ... |
train_30k_00000053 | esg_topic_identification | a3cg_greenwash__aspect_extraction | a3cg_greenwash | [
{
"role": "system",
"content": "You are an ESG information extraction assistant. Follow the task instruction exactly. Use only explicit evidence from the input text. Do not infer unstated facts. Return valid JSON."
},
{
"role": "user",
"content": "Task: Extract the ESG aspect terms associated wi... |
train_30k_00000054 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Decide whether this corporate disclosure sentence discusses an ESG matter.\... |
train_30k_00000055 | esg_qa | sustainableqa__sustainableqa_table_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability and EU Taxonomy table question-answering assistant. Use only the provided table context to answer. Return valid JSON."
},
{
"role": "user",
"content": "Task: Provide the answer supported by the table context only.\nReturn JSON with this sc... |
train_30k_00000056 | esg_topic_identification | esg_activities__esg_activity_concept_matching | ESG_activities | [
{
"role": "system",
"content": "You are an ESG taxonomy matching assistant. Use only the provided activity text and ESG key concept. Return valid JSON."
},
{
"role": "user",
"content": "Task: Classify whether the activity maps to the ESG key concept.\nLabels must be selected from: 1, 0.\nReturn ... |
train_30k_00000057 | esg_impact_analysis | ml_esg2_fr_to_en__mlesg2_impact_type_classification | ML-ESG2 | [
{
"role": "system",
"content": "You are an ESG impact classification assistant. Use only the provided English news title and article excerpt. Return valid JSON."
},
{
"role": "user",
"content": "Task: Assign the article to the ESG impact type that best describes its content.\nImpact labels: Oppo... |
train_30k_00000058 | esg_qa | sustainableqa__sustainableqa_factoid_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability report question-answering assistant. Use only the provided context passage to answer. Return valid JSON."
},
{
"role": "user",
"content": "Task: Determine the correct answer to the question from the context.\nReturn JSON with this schema: ... |
train_30k_00000059 | esg_qa | sustainableqa__sustainableqa_factoid_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability report question-answering assistant. Use only the provided context passage to answer. Return valid JSON."
},
{
"role": "user",
"content": "Task: Locate the requested entity, value, or phrase in the context.\nReturn JSON with this schema: {... |
train_30k_00000060 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Determine whether the sentence contains ESG disclosure information rather t... |
train_30k_00000061 | esg_impact_analysis | ml_esg2_jp_to_en__mlesg2_japanese_sentiment_classification | ML-ESG2 | [
{
"role": "system",
"content": "You are an ESG sentence sentiment classification assistant. Use only the provided English sentence translated from Japanese. Return valid JSON."
},
{
"role": "user",
"content": "Task: Classify the sentence's ESG sentiment polarity.\nAllowed labels: Positive, Negat... |
train_30k_00000062 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Judge whether the sentence should be treated as ESG-relevant in a Korean su... |
train_30k_00000063 | general_instruction_chat | alpaca_general_instruction | tatsu-lab/alpaca | [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Generate a sentence using the provided noun and verb in present perfect tense.\n\nInput:\nNoun: students \nVerb: complete"
},
{
"role": "assistant",
"content": "The students have completed ... |
train_30k_00000064 | esg_impact_analysis | ml_esg3_jp_to_en__mlesg3_impact_type_classification | ML-ESG3 | [
{
"role": "system",
"content": "You are an ESG impact type classification assistant. Use only the provided English text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Classify the content as an ESG opportunity, ESG risk, or unclear.\nAllowed labels: Opportunity, Risk, Cannot disting... |
train_30k_00000065 | esg_topic_identification | ml_esg1_fr_to_en__mlesg1_esg_issue_classification | ML-ESG1 | [
{
"role": "system",
"content": "You are an ESG news classification assistant. Use only the provided English news title and article excerpt. Return valid JSON."
},
{
"role": "user",
"content": "Task: Perform ESG issue classification for this news item.\nUse exactly one category from this list: Ac... |
train_30k_00000066 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Identify whether ESG content is present in the translated sentence.\nValid ... |
train_30k_00000067 | general_instruction_chat | alpaca_general_instruction | tatsu-lab/alpaca | [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Construct a metaphor about intelligence"
},
{
"role": "assistant",
"content": "Intelligence is like a garden. With the right care and nurturing, it can bloom into a beautiful and vibrant la... |
train_30k_00000068 | esg_impact_analysis | dynamic_esg__impact_duration_classification | DynamicESG | [
{
"role": "system",
"content": "You are an ESG news analysis assistant. Use only the provided English headline and article text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Decide the expected ESG impact duration for the company or issue discussed.\nValid duration labels are: <2, ... |
train_30k_00000069 | general_instruction_chat | alpaca_general_instruction | tatsu-lab/alpaca | [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Compute the average of the following numbers: 6, 15, 28, 42"
},
{
"role": "assistant",
"content": "23.5"
}
] |
train_30k_00000070 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Determine whether the sentence contains ESG disclosure information rather t... |
train_30k_00000071 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Classify the sentence as relevant to ESG disclosure or not.\nAllowed labels... |
train_30k_00000072 | esg_qa | sustainableqa__sustainableqa_table_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability and EU Taxonomy table question-answering assistant. Use only the provided table context to answer. Return valid JSON."
},
{
"role": "user",
"content": "Task: Determine the correct answer from the table summary.\nReturn JSON with this schem... |
train_30k_00000073 | esg_impact_analysis | ml_esg3_fr_to_en__mlesg3_impact_duration_classification | ML-ESG3 | [
{
"role": "system",
"content": "You are an ESG impact duration classification assistant. Use only the provided English text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Classify the time frame associated with the ESG impact.\nUse one of: Less than 2 years, 2 to 5 years, More than ... |
train_30k_00000074 | esg_qa | sustainableqa__sustainableqa_table_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability and EU Taxonomy table question-answering assistant. Use only the provided table context to answer. Return valid JSON."
},
{
"role": "user",
"content": "Task: Identify the table value or conclusion needed to answer the question.\nReturn JSO... |
train_30k_00000075 | esg_commitment_analysis | a3cg_greenwash__action_classification | a3cg_greenwash | [
{
"role": "system",
"content": "You are an ESG information extraction assistant. Follow the task instruction exactly. Use only explicit evidence from the input text. Do not infer unstated facts. Return valid JSON."
},
{
"role": "user",
"content": "Task: Return the action label associated with th... |
train_30k_00000076 | esg_topic_identification | esg_bert_dataset__social_classification | ESG_BERT_dataset | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Decide whether this sentence belongs in a social ESG classifier.\nUse yes or no.\nReturn JSON with this schema: {\"label\": str... |
train_30k_00000077 | esg_qa | sustainableqa__sustainableqa_non_factoid_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability report question-answering assistant. Use only the provided context passage to answer descriptively. Return valid JSON."
},
{
"role": "user",
"content": "Task: Answer the descriptive question using only the context.\nReturn JSON with this s... |
train_30k_00000078 | esg_commitment_analysis | promise_eval_jp_to_en__promise_status_classification | PromiseEval | [
{
"role": "system",
"content": "You are an ESG promise analysis assistant. Use only the provided English ESG report passage. Return valid JSON."
},
{
"role": "user",
"content": "Task: Check whether a promise, goal, or target is present in the ESG passage.\nUse Yes or No.\nReturn JSON with this s... |
train_30k_00000079 | esg_commitment_analysis | a3cg_greenwash__action_classification | a3cg_greenwash | [
{
"role": "system",
"content": "You are an ESG information extraction assistant. Follow the task instruction exactly. Use only explicit evidence from the input text. Do not infer unstated facts. Return valid JSON."
},
{
"role": "user",
"content": "Task: Read the sentence and assign the correct a... |
train_30k_00000080 | esg_impact_analysis | dynamic_esg__impact_type_classification | DynamicESG | [
{
"role": "system",
"content": "You are an ESG news analysis assistant. Use only the provided English headline and article text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Use the article to determine whether its ESG implication is opportunity, risk, ambiguous, or unrelated.\nLab... |
train_30k_00000081 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Check whether the sentence should be kept for ESG analysis.\nLabels: ESG-re... |
train_30k_00000082 | general_instruction_chat | alpaca_general_instruction | tatsu-lab/alpaca | [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Given a list of natural disasters and their description, generate a poem about them.\n\nInput:\nTsunami: A huge wave caused by the displacement of a large body of water\nWildfire: Fire that burns large... |
train_30k_00000083 | esg_impact_analysis | ml_esg2_jp_to_en__mlesg2_japanese_sentiment_classification | ML-ESG2 | [
{
"role": "system",
"content": "You are an ESG sentence sentiment classification assistant. Use only the provided English sentence translated from Japanese. Return valid JSON."
},
{
"role": "user",
"content": "Task: Classify the ESG sentiment of the translated Japanese sentence.\nValid labels: P... |
train_30k_00000084 | esg_impact_analysis | ml_esg3_kr_to_en__mlesg3_impact_type_classification | ML-ESG3 | [
{
"role": "system",
"content": "You are an ESG impact type classification assistant. Use only the provided English text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Assign the ESG passage to the correct impact type class.\nClasses: Opportunity, Risk, Cannot distinguish.\nReturn JS... |
train_30k_00000085 | general_instruction_chat | alpaca_general_instruction | tatsu-lab/alpaca | [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Change the text to proper nouns.\n\nInput:\nthe first humans"
},
{
"role": "assistant",
"content": "Adam and Eve"
}
] |
train_30k_00000086 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Classify the sentence according to ESG relevance.\nValid labels: ESG-relate... |
train_30k_00000087 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Decide whether this corporate disclosure sentence discusses an ESG matter.\... |
train_30k_00000088 | esg_qa | sustainableqa__sustainableqa_factoid_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability report question-answering assistant. Use only the provided context passage to answer. Return valid JSON."
},
{
"role": "user",
"content": "Task: Read the sustainability disclosure and return the answer.\nReturn JSON with this schema: {\"an... |
train_30k_00000089 | esg_topic_identification | esg_activities__esg_activity_concept_matching | ESG_activities | [
{
"role": "system",
"content": "You are an ESG taxonomy matching assistant. Use only the provided activity text and ESG key concept. Return valid JSON."
},
{
"role": "user",
"content": "Task: Judge whether the activity satisfies or clearly relates to the ESG key concept.\nLabels: 1 = related, 0 ... |
train_30k_00000090 | esg_claim_verification | promise_eval_jp_to_en__promise_evidence_status_classification | PromiseEval | [
{
"role": "system",
"content": "You are an ESG evidence detection assistant. Use only the provided English ESG report passage. Return valid JSON."
},
{
"role": "user",
"content": "Task: Determine whether the ESG passage provides evidence for its promise or claim.\nValid labels: Yes, No.\nReturn ... |
train_30k_00000091 | esg_impact_analysis | ml_esg3_fr_to_en__mlesg3_impact_level_classification | ML-ESG3 | [
{
"role": "system",
"content": "You are an ESG impact severity classification assistant. Use only the provided English text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Label the ESG-related article by impact level.\nValid options: Low, Medium, High.\nReturn JSON with this schema:... |
train_30k_00000092 | general_instruction_chat | alpaca_general_instruction | tatsu-lab/alpaca | [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Summarize the main points of the given article using 100 words or less.\n\nInput:\nhttps://www.theverge.com/2021/3/25/22350066/apple-app-tracking-transparency-transparency-nutrition-privacy-ads-on-ios"... |
train_30k_00000093 | esg_relevance_detection | esg_kor__korean_esg_relevance_classification | ESG_Kor | [
{
"role": "system",
"content": "You are an ESG sentence classification assistant. Use only the provided English sentence translated from a Korean ESG disclosure. Return valid JSON."
},
{
"role": "user",
"content": "Task: Assign an ESG relevance label to the sentence.\nValid labels: ESG-related, ... |
train_30k_00000094 | esg_commitment_analysis | a3cg_greenwash__action_classification | a3cg_greenwash | [
{
"role": "system",
"content": "You are an ESG information extraction assistant. Follow the task instruction exactly. Use only explicit evidence from the input text. Do not infer unstated facts. Return valid JSON."
},
{
"role": "user",
"content": "Task: Determine how the sentence frames the spec... |
train_30k_00000095 | esg_impact_analysis | ml_esg3_kr_to_en__mlesg3_impact_type_classification | ML-ESG3 | [
{
"role": "system",
"content": "You are an ESG impact type classification assistant. Use only the provided English text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Determine whether the ESG content is opportunity-oriented, risk-oriented, or unclear.\nReturn JSON with this schema:... |
train_30k_00000096 | esg_qa | sustainableqa__sustainableqa_non_factoid_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability report question-answering assistant. Use only the provided context passage to answer descriptively. Return valid JSON."
},
{
"role": "user",
"content": "Task: Use the given corporate report excerpt to answer descriptively and accurately.\n... |
train_30k_00000097 | esg_topic_identification | dynamic_esg__esg_category_classification | DynamicESG | [
{
"role": "system",
"content": "You are an ESG news analysis assistant. Use only the provided English headline and article text. Return valid JSON."
},
{
"role": "user",
"content": "Task: Infer the DynamicESG category-name labels from the English translated article.\nAllowed category names: Rela... |
train_30k_00000098 | esg_qa | sustainableqa__sustainableqa_factoid_answering | SustainableQA | [
{
"role": "system",
"content": "You are a sustainability report question-answering assistant. Use only the provided context passage to answer. Return valid JSON."
},
{
"role": "user",
"content": "Task: Determine the correct answer to the question from the context.\nReturn JSON with this schema: ... |
train_30k_00000099 | esg_commitment_analysis | a3cg_greenwash__action_classification | a3cg_greenwash | [
{
"role": "system",
"content": "You are an ESG information extraction assistant. Follow the task instruction exactly. Use only explicit evidence from the input text. Do not infer unstated facts. Return valid JSON."
},
{
"role": "user",
"content": "Task: Determine how the sentence frames the spec... |
ESG-Instruct 30K
ESG-Instruct is an English instruction-tuning dataset for environmental, social, and governance (ESG) tasks. The public 30K release combines ESG classification, extraction, verification, and question-answering examples with a general instruction-following component. Every example is represented as a three-message system/user/assistant conversation, and structured tasks request JSON output.
Dataset file
| File | Rows | Description |
|---|---|---|
esg_instruct_30k.jsonl |
30,000 | Public instruction-tuning split across 35 detail tasks |
The public release contains the 30K training split only. Internal source pools, alternative-size subsets, sampling analyses, and duplicate-check artifacts are not included.
Loading
from datasets import load_dataset
dataset = load_dataset("nowzero/ESG-Instruct", split="train")
messages = dataset[0]["messages"]
prompt_messages = messages[:-1]
target_answer = messages[-1]["content"]
To load a downloaded copy directly:
dataset = load_dataset(
"json",
data_files="esg_instruct_30k.jsonl",
split="train",
)
Main schema
sample_id: unique identifier in the public 30K splitcategory,task_name: unified category and task identifierssource_dataset: source provenancemessages:system,user, andassistantmessages; the final assistant message is the supervised target
Composition
| Category | Rows |
|---|---|
| ESG relevance detection | 5,160 |
| ESG topic identification | 5,170 |
| ESG commitment analysis | 4,736 |
| ESG impact analysis | 5,170 |
| ESG claim verification | 1,600 |
| ESG question answering | 5,164 |
| General instruction chat | 3,000 |
| Total | 30,000 |
The release contains 35 detail tasks across seven instruction categories. The ESG portion includes relevance and topic classification, activity and aspect extraction, impact type/duration/level and sentiment classification, commitment and evidence analysis, and sustainability QA. The general component consists of 3,000 Alpaca instruction-following examples.
Construction
Records were normalized to a common chat format and sampled from training splits using category, task, and label-aware balancing. The final split contains 30,000 unique message records without oversampling. Sources translated into English may retain translation artifacts.
Intended use and limitations
ESG-Instruct supports research on ESG instruction tuning, multi-task learning, structured prediction, and sustainability QA. It combines datasets with different annotation guidelines, label spaces, domains, and source biases, and automatic conversion may introduce errors. Trained models may hallucinate, overfit output formats, or perform poorly on unseen jurisdictions and reporting standards. The dataset is not a source of financial, legal, regulatory, investment, or compliance advice.
Citation
If you use ESG-Instruct, please cite:
Jaeyoung Lee and Misuk Kim. “ESGPT: A Data-Centric ESG Language Model with Unified Instruction and Benchmark Resources.” In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026.
@inproceedings{lee2026esgpt,
title = {{ESGPT}: A Data-Centric {ESG} Language Model with Unified Instruction and Benchmark Resources},
author = {Lee, Jaeyoung and Kim, Misuk},
booktitle = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
year = {2026}
}
Code: https://github.com/nowzer0/ESGPT
License
ESG-Instruct 30K is released under the Creative Commons Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0). See LICENSE for details.
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