Datasets:

DevashishEncodes
/

adaption-mitra-finreg

text_raw stringlengths 2 260k ⌀	sentiment_class stringlengths 1 78.6k ⌀	enhanced_prompt stringlengths 9 521k	enhanced_completion stringlengths 4 178k	augmentation_method stringclasses 1 value	has_quant_data bool 2 classes	id stringlengths 36 36 ⌀	is_augmented bool 2 classes	original_context stringlengths 39 260k ⌀	parent_id stringlengths 36 36 ⌀	row_embedding listlengths 1.02k 1.02k ⌀	row_searchable_text stringlengths 288 527k ⌀	source_dataset stringclasses 3 values	text_masked stringlengths 2 260k ⌀	text_modality stringclasses 3 values	word_count int64 1 44.1k ⌀
Will Caterpillar Raise Its Dividend in 2020?	neutral	Analyze the following text to determine the answer to the specific question it poses. Question: Will Caterpillar Raise Its Dividend in 2020? Source Text: """ TwitterFinNews microblog 7 True Will Caterpillar Raise Its Dividend in 2020? """ Based on the provided source text, does it confirm that Caterpillar will raise...	No, the provided source text does not confirm that Caterpillar will raise its dividend in 2020. The text merely presents the question "Will Caterpillar Raise Its Dividend in 2020?" as a headline or topic title without offering any data, analysis, or definitive statement to answer it.	null	true	8b8cf124-30bc-4be3-8730-77ad6789c4dc	false	TwitterFinNews microblog 7 true Will Caterpillar Raise Its Dividend in 2020?	null	[ -0.000501559698022902, 0.07850698381662369, 0.022103019058704376, 0.004310546908527613, -0.0022011303808540106, 0.017333902418613434, 0.07483843713998795, -0.01880132220685482, -0.015774767845869064, 0.05686253681778908, -0.022378159686923027, 0.02347872406244278, -0.0037144075613468885, -...	Prompt: Analyze the following text to determine the answer to the specific question it poses. Question: Will Caterpillar Raise Its Dividend in 2020? Source Text: """ TwitterFinNews microblog 7 True Will Caterpillar Raise Its Dividend in 2020? """ Based on the provided source text, does it confirm that Caterpillar wi...	TwitterFinNews	Will Caterpillar Raise Its Dividend in 2020?	microblog	7
China Zheshang Bank : ARTICLES OF ASSOCIATION #Stock #MarketScreener https://t.co/qt8NIXZAOS https://t.co/JkKXJv9cYl	neutral	Analyze the following social media post regarding China Zheshang Bank's Articles of Association. Extract the key entities, including the bank name, document type, associated hashtags, and all URLs. Provide a structured summary of the content's intent. --- Input Content: China Zheshang Bank : ARTICLES OF ASSOCIATION #...	### Key Entity Extraction * Bank Name: China Zheshang Bank (CZBANK) * Document Type: Articles of Association * Associated Hashtags: #Stock, #MarketScreener * URLs: * https://t.co/qt8NIXZAOS * https://t.co/JkKXJv9cYl ### Structured Summary of Content Intent **1. Primary Objective:...	null	false	7f6d7d02-0a7f-4953-9762-faf817cfe4f3	false	TwitterFinNews microblog 11 false China Zheshang Bank : ARTICLES OF ASSOCIATION #Stock #MarketScreener https://t.co/qt8NIXZAOS https://t.co/JkKXJv9cYl	null	[ -0.0008765971288084984, 0.019542271271348, 0.008088069967925549, 0.014493072405457497, -0.0030388699378818274, 0.03497038036584854, 0.016269642859697342, -0.02290840446949005, 0.000587320071645081, 0.04974396526813507, -0.03646644204854965, 0.006919273175299168, 0.0032258774153888226, -0.0...	Prompt: Analyze the following social media post regarding China Zheshang Bank's Articles of Association. Extract the key entities, including the bank name, document type, associated hashtags, and all URLs. Provide a structured summary of the content's intent. --- Input Content: China Zheshang Bank : ARTICLES OF ASSOCI...	TwitterFinNews	China Zheshang Bank : ARTICLES OF ASSOCIATION #Stock #MarketScreener https://t.co/qt8NIXZAOS https://t.co/JkKXJv9cYl	microblog	11
Thus the method will cut working costs , and will fasten the planning and building processes .	positive	Analyze the following data entry to determine if the statement logically supports the claim that the method reduces working costs and accelerates planning and building processes. Consider the context of 'FPB' (Fast-Track Planning and Building) and 'corporate_disclosure'. Data Entry: - Category: FPB - Sub-category: cor...	An analysis of the data entry reveals a significant discrepancy between the statement's explicit assertion and the assigned Boolean Flag. Logical Support Analysis The statement unequivocally claims that the method "will cut working costs" and "will fasten the planning and building processes." Semantically and logi...	null	false	0a17e014-3658-416d-8e0b-e1b86fc774e2	false	FPB corporate_disclosure 17 false Thus the method will cut working costs , and will fasten the planning and building processes .	null	[ -0.0003791068447753787, 0.007753162179142237, 0.011401709169149399, 0.027364101260900497, -0.0014708205126225948, 0.0319247841835022, 0.041046153753995895, -0.007433914579451084, -0.009714256040751934, -0.050714801996946335, -0.01605360582470894, 0.044694699347019196, 0.005290393251925707, ...	Prompt: Analyze the following data entry to determine if the statement logically supports the claim that the method reduces working costs and accelerates planning and building processes. Consider the context of 'FPB' (Fast-Track Planning and Building) and 'corporate_disclosure'. Data Entry: - Category: FPB - Sub-categ...	FPB	Thus the method will cut working costs , and will fasten the planning and building processes .	corporate_disclosure	17
`` People who enjoy mobile games are often the same customers who enjoy experimenting with new mobile services and content .	neutral	Analyze the following text segment and associated metadata to determine the validity of the statement based on the provided classification label. Input Data: `` People who enjoy mobile games are often the same customers who enjoy experimenting with new mobile services and content . FPB corporate_disclosure 21 False ``...	1. Core Statement The central assertion posits a positive behavioral correlation, suggesting that consumers who engage with mobile games are frequently the same demographic that acts as early adopters for new mobile services and content. 2. Metadata Tags The segment is cataloged under the identifier 'FPB', the...	null	false	d5010001-761a-456f-89df-047a8560b202	false	FPB corporate_disclosure 21 false `` People who enjoy mobile games are often the same customers who enjoy experimenting with new mobile services and content .	null	[ -0.0006493281689472497, 0.11980397254228592, -0.023212019354104996, -0.06327147036790848, -0.002866403665393591, 0.060276370495557785, 0.046798426657915115, -0.007955732755362988, -0.02452237531542778, -0.03912348300218582, 0.032197315245866776, 0.03912348300218582, -0.0004299605207052082, ...	Prompt: Analyze the following text segment and associated metadata to determine the validity of the statement based on the provided classification label. Input Data: `` People who enjoy mobile games are often the same customers who enjoy experimenting with new mobile services and content . FPB corporate_disclosure 21 ...	FPB	`` People who enjoy mobile games are often the same customers who enjoy experimenting with new mobile services and content .	corporate_disclosure	21
The divested stake represented about 2.7 m shares in Okmetic 's capital .	neutral	Analyze the following data entry to verify its consistency and correctness. Specifically, check if the statement, category, ID, and boolean flag align logically. If any discrepancies exist, identify them; otherwise, confirm the data is valid. Data Entry: --- The divested stake represented about 2.7 m shares in Okmetic...	The data entry presents a logical alignment between the statement, category, ID, and boolean flag, confirming its validity within the context of Nordic corporate disclosures. The statement describes a specific divestiture of approximately 2.7 million shares in Okmetic's capital. This aligns correctly with the category...	null	true	8823b616-5a61-443e-95a5-c26cf8601ae0	false	FPB corporate_disclosure 13 true The divested stake represented about 2.7 m shares in Okmetic 's capital .	null	[ -0.000398885429603979, 0.017816882580518723, -0.013828028924763203, -0.016221340745687485, -0.0015623013023287058, 0.037761155515909195, 0.020564761012792587, 0.015246287919580936, -0.015157646499574184, 0.04166136682033539, -0.031024422496557236, 0.06559449434280396, 0.0008697918383404613, ...	Prompt: Analyze the following data entry to verify its consistency and correctness. Specifically, check if the statement, category, ID, and boolean flag align logically. If any discrepancies exist, identify them; otherwise, confirm the data is valid. Data Entry: --- The divested stake represented about 2.7 m shares in...	FPB	The divested stake represented about 2.7 m shares in Okmetic 's capital .	corporate_disclosure	13
Brexit Bulletin: The Cliff Edge is Back	neutral	Analyze the following microblog post metadata and content. Extract the key information including the headline, source, platform, engagement metrics, and verification status. Present the analysis in a clear, structured format. Input Data: - Headline: Brexit Bulletin: The Cliff Edge is Back - Source: TwitterFinNews - Pl...	### Microblog Post Analysis Metadata Extraction \| Field \| Details \| \| :--- \| :--- \| \| Headline \| Brexit Bulletin: The Cliff Edge is Back \| \| Source \| TwitterFinNews \| \| Platform \| Microblog \| \| Engagement Metrics \| 7 (Low) \| \| Verification Status \| False (Unverified) \| \| Content \| Brexit B...	null	false	702732bb-cdee-42d7-a195-de48f5cd0507	false	TwitterFinNews microblog 7 false Brexit Bulletin: The Cliff Edge is Back	null	[ -0.0010011624544858932, 0.03689131885766983, 0.046211231499910355, -0.023882275447249413, -0.0042716264724731445, 0.08504419773817062, -0.01024219486862421, -0.003276531584560871, -0.03572633117437363, -0.0010982448002323508, -0.013397373259067535, 0.06834602355957031, 0.0042716264724731445,...	Prompt: Analyze the following microblog post metadata and content. Extract the key information including the headline, source, platform, engagement metrics, and verification status. Present the analysis in a clear, structured format. Input Data: - Headline: Brexit Bulletin: The Cliff Edge is Back - Source: TwitterFinN...	TwitterFinNews	Brexit Bulletin: The Cliff Edge is Back	microblog	7
A few months ago , Teva vice chairman Phillip Frost and Marathon Venture Capital Fund TASE : MARA sold Protalix shares .	neutral	Analyze the following financial data entry to verify the accuracy of the corporate disclosure statement regarding recent share sales. Specifically, confirm if the text aligns with the provided metadata fields (Category: corporate_disclosure, ID: 22, Verified: False). Data Entry: "A few months ago , Teva vice chairman ...	### Analysis of Corporate Disclosure Entry 1. Key Entities and Action Identified The data entry highlights a significant transaction involving the following parties: * Phillip Frost: Identified as the Vice Chairman of Teva Pharmaceutical Industries. Dr. Frost is a pivotal figure in the Israeli life sciences ...	null	false	815ba18e-ac0b-4177-883e-ec6941091f12	false	FPB corporate_disclosure 22 false A few months ago , Teva vice chairman Phillip Frost and Marathon Venture Capital Fund TASE : MARA sold Protalix shares .	null	[ -0.0008368189446628094, 0.026590945199131966, -0.002329048467800021, -0.007209517061710358, -0.0026684575714170933, 0.11610130965709686, 0.028650807216763496, 0.022190332412719727, -0.01320184301584959, 0.07977283746004105, -0.04232080280780792, 0.024531083181500435, -0.001398599473759532, ...	Prompt: Analyze the following financial data entry to verify the accuracy of the corporate disclosure statement regarding recent share sales. Specifically, confirm if the text aligns with the provided metadata fields (Category: corporate_disclosure, ID: 22, Verified: False). Data Entry: "A few months ago , Teva vice c...	FPB	A few months ago , Teva vice chairman Phillip Frost and Marathon Venture Capital Fund TASE : MARA sold Protalix shares .	corporate_disclosure	22
"3 January 2011 - Finnish flag carrier Finnair Oyj ( HEL : FIA1S ) said today it sealed a nine-year (...TRUNCATED)	positive	"Analyze the provided text and structured data to verify the accuracy of the Named Entity Recognitio(...TRUNCATED)	"Based on the provided text and structured data, here is the verification of the Named Entity Recogn(...TRUNCATED)	null	true	04c67efb-e98a-41e3-a037-7c442439aa55	false	"FPB\n\ncorporate_disclosure\n\n39\n\ntrue\n\n3 January 2011 - Finnish flag carrier [ORG] [ORG_SUFFI(...TRUNCATED)	null	[-0.00016464835789520293,0.03599933907389641,0.050652336329221725,0.0448634959757328,-0.000435293506(...TRUNCATED)	"Prompt: Analyze the provided text and structured data to verify the accuracy of the Named Entity Re(...TRUNCATED)	FPB	"3 January 2011 - Finnish flag carrier [ORG] [ORG_SUFFIX] ( HEL : FIA1S ) said today it sealed a nin(...TRUNCATED)	corporate_disclosure	39
$RPD - Rapid7 EPS beats by $0.04, beats on revenue https://t.co/zMx8d8HExw	positive	"Analyze the following financial news microblog post and extract the key data points into a structur(...TRUNCATED)	"### Financial Data Extraction: Rapid7 Earnings Release\n\nKey Data Points\n\n\| Data Field \| Ext(...TRUNCATED)	null	true	c67bbc47-6c3b-43b4-b52d-cb74a6c0a655	false	"TwitterFinNews\n\nmicroblog\n\n11\n\ntrue\n\n[TICKER] - Rapid7 EPS beats by $0.04, beats on revenue(...TRUNCATED)	null	[-0.0007107448764145374,0.06204594671726227,0.0643298476934433,0.03654239699244499,-0.00267644505947(...TRUNCATED)	"Prompt: Analyze the following financial news microblog post and extract the key data points into a (...TRUNCATED)	TwitterFinNews	[TICKER] - Rapid7 EPS beats by $0.04, beats on revenue https://t.co/zMx8d8HExw	microblog	11
The Expected and Thrilling Resolution of Oil’s Consolidation	neutral	"Analyze the following social media post metadata and content. Correct any spelling errors, fix inco(...TRUNCATED)	"# Social Media Post Analysis & Market Correction\n\n## 1. Metadata & Integrity Review\n* **Source(...TRUNCATED)	null	false	215e243a-46de-456b-bb8b-d81826f039a7	false	"TwitterFinNews\n\nmicroblog\n\n8\n\nfalse\n\nThe Expected and Thrilling Resolution of Oil’s Conso(...TRUNCATED)	null	[-0.0010942218359559774,0.11250752955675125,0.034249741584062576,0.005166162271052599,-0.00435297004(...TRUNCATED)	"Prompt: Analyze the following social media post metadata and content. Correct any spelling errors, (...TRUNCATED)	TwitterFinNews	The Expected and Thrilling Resolution of Oil’s Consolidation	microblog	8

End of preview. Expand in Data Studio

This dataset is a remastered version prepared using Adaption's Adaptive Data platform.

adaption-MITRA_FinReg

This dataset consists of short news snippets and corporate announcements paired with sentiment labels classified as positive, negative, or neutral. The content covers diverse business topics including service descriptions, financial growth, legal disputes, and technology deployments. It is formatted as prompt-completion pairs suitable for training or evaluating sentiment analysis models in a financial or corporate context.