GENERAL INFORMATION 
...........................

1. Dataset title: DISPARSA Corpus


2. Authors:

Perez-Hernández, Chantal
Fernández-Cruz, Javier
García-Gámez, María
Fernández-Melendres, Carla

3. Author contact information: 
Antonio Moreno-Ortiz (amo@uma.es)





METHODOLOGICAL INFORMATION 
.................................


1. Description of the methods for collection/generation of data: 
This is a collection of user-generated reviews of hospitality resources in the province of Malaga (Spain). The corpus was manually annotated for discourse information (functional discourse units), enities, aspect-based sentiment analysis categories. The original reviews were obtained from Tripadvisor.

Publications:
- Moreno-Ortiz, A., & García-Gámez, M. (2025). Corpus Annotation of Functional Discourse Units for Aspect-Based Sentiment Analysis. Corpus Pragmatics. https://doi.org/10.1007/s41701-025-00199-0
- Fernández-Cruz, J. (2025). Dissecting Economic Op-Eds: An Annotation Schema for Editorials in Quality Newspapers. Corpus Pragmatics, 9 (2), 293-318. https://doi.org/10.1007/s41701-025-00192-7


2. Data processing methods:
Annotation was performed using a custom schema using Prodigy. Annotation results were futher processed to extract statistics and human-readable views, including HTML.

3. Software or instruments needed to interpret the data:
Distribution of annotated data is in JSONL format, as generated by Prodigy. Formats of post-processed output are CSV, HTML and XLSX.

4. Standards and calibration information, if appropriate: 
N/A

5. Environmental or experimental conditions:
N/A


FILE OVERVIEW 
----------------------
Restaurants/
  restaurants1.jsonl (JSONL, 1.14 MB)
  restaurants1_spans.html (HTML, 1.11 MB)
  restaurants1_spans.xlsx (Excel, 199.06 KB)
  restaurants1_stats.html (HTML, 201.28 KB)
  restaurants1_texts.html (HTML, 162.98 KB)
  restaurants2.jsonl (JSONL, 1.13 MB)
  restaurants2_spans.html (HTML, 1.01 MB)
  restaurants2_spans.xlsx (Excel, 188.26 KB)
  restaurants2_stats.html (HTML, 186.49 KB)
  restaurants2_texts.html (HTML, 162.79 KB)
Hotels/
  hotels.jsonl (JSONL, 1.24 MB)
  hotels_sentences.csv (CSV, 117.20 KB)
  hotels_span_aspects.csv (CSV, 102.30 KB)
  hotels_span_fdus.csv (CSV, 105.06 KB)
  hotels_spans.html (HTML, 1.52 MB)
  hotels_spans.xlsx (Excel, 250.10 KB)
  hotels_stats.html (HTML, 366.39 KB)
  hotels_texts.html (HTML, 158.56 KB)
Monuments/
  monuments.jsonl (JSONL, 3.38 MB)
  monuments_log.txt (Text, 965.00 B)
  monuments_sentences.csv (CSV, 297.24 KB)
  monuments_span_aspects.csv (CSV, 155.43 KB)
  monuments_span_fdus.csv (CSV, 248.09 KB)
  monuments_spans.html (HTML, 3.34 MB)
  monuments_spans.xlsx (Excel, 575.47 KB)
  monuments_stats.html (HTML, 511.27 KB)
  monuments_texts.html (HTML, 655.82 KB)
Cultural_Centers/
  cultural_centers.jsonl (JSONL, 745.87 KB)
  cultural_centers_sentences.csv (CSV, 46.43 KB)
  cultural_centers_span_aspects.csv (CSV, 23.66 KB)
  cultural_centers_span_fdus.csv (CSV, 40.15 KB)
  cultural_centers_spans.html (HTML, 769.31 KB)
  cultural_centers_spans.xlsx (Excel, 127.46 KB)
  cultural_centers_stats.html (HTML, 130.84 KB)
  cultural_centers_texts.html (HTML, 121.01 KB)
Parks/
  parks.jsonl (JSONL, 1.28 MB)
  parks_sentences.csv (CSV, 142.73 KB)
  parks_span_aspects.csv (CSV, 62.85 KB)
  parks_span_fdus.csv (CSV, 101.91 KB)
  parks_spans.html (HTML, 1.06 MB)
  parks_spans.xlsx (Excel, 198.67 KB)
  parks_stats.html (HTML, 149.40 KB)
  parks_texts.html (HTML, 181.44 KB)


DATA-SPECIFIC INFORMATION:
-------------------------------------------

1. Filename: *.jsonl (all annotation files follow the same format)

1.1. Variables list:

  _input_hash
  _task_hash
  _timestamp
  _view_id
  answer
  meta
  meta.date
  meta.eval_entity_type
  meta.genre
  meta.name
  meta.province
  meta.score
  meta.source
  meta.url
  spans
  spans.end
  spans.label [
  "ASP:ACCESSIBILITY",
  "ASP:AIR_CONDITIONING",
  "ASP:ATMOSPHERE",
  "ASP:BATHROOM",
  "ASP:BED",
  "ASP:CLEANLINESS",
  "ASP:COMFORT",
  "ASP:DESIGN",
  "ASP:ENTERTAINMENT",
  "ASP:FACILITIES",
  "ASP:FOOD_DRINKS",
  "ASP:GARDENS",
  "ASP:GENERAL",
  "ASP:INFO",
  "ASP:INTERNET",
  "ASP:LOCATION",
  "ASP:MAINTENANCE",
  "ASP:PARKING",
  "ASP:POOL",
  "ASP:PRICE",
  "ASP:QUIETNESS",
  "ASP:RECEPTION",
  "ASP:ROOMS",
  "ASP:SIZE",
  "ASP:STAFF",
  "ASP:VIEWS",
  "ASP:WELLNESS",
  "ENT:EVAL_ENTITY",
  "ENT:OP_HOLDER",
  "ENT:OTHER_EVAL_ENTITY",
  "ENT:READER",
  "FDU:ACTIVITY",
  "FDU:ADVICE",
  "FDU:CONTEXT",
  "FDU:DESCRIPTION",
  "FDU:EVAL_NEG",
  "FDU:EVAL_POS",
  "LEX:NEG",
  "LEX:NEG\u201d",
  "LEX:POS"
]
  spans.start
  spans.token_end
  spans.token_start
  text
  tokens
  tokens.end
  tokens.id
  tokens.start
  tokens.text
  tokens.ws      

1.3. Special formats or abbreviations used: (Formatos especiales o abreviaturas utilizadas)

ASP: ASPECT
ENT: ENTITY
FDU: FUNCTIONAL DISCOURSE UNIT
LEX: LEXICAL UNIT