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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ValueError
Message:      Failed to convert pandas DataFrame to Arrow Table from file zip://mainboard_needed_jsons/0_RHP.json::hf://datasets/sohomghosh/indian_ipo_rating_prediction@77176f72055305d84fdea0aee1f4f404e75cc927/mainboard_needed_jsons.zip.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2998, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1918, in _head
                  return _examples_to_batch(list(self.take(n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2093, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1576, in __iter__
                  for key_example in islice(self.ex_iterable, self.n - ex_iterable_num_taken):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 279, in __iter__
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 172, in _generate_tables
                  raise ValueError(
              ValueError: Failed to convert pandas DataFrame to Arrow Table from file zip://mainboard_needed_jsons/0_RHP.json::hf://datasets/sohomghosh/indian_ipo_rating_prediction@77176f72055305d84fdea0aee1f4f404e75cc927/mainboard_needed_jsons.zip.

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The copyright for this content belongs to its respective owners, and we do not claim any copyright rights over this data. This dataset has been released under the CC-BY-NC-SA-4.0 licence for non-commercial research purposes only. We are not liable for any monetary loss that may arise from the use of these datasets and model artefacts.

Files:

mb_ipo-reviews-final_data.xlsx : This is the main file for Mainboard

sme_ipo-reviews-final_data.xlsx : This is the main file for SME

In some cases, while creating json files, '&' in pdf file names has been replaced by ' '

sme_needed_jsons.zip : JSON files for SME IPOs

mainboard_needed_jsons.zip : JSON files for Main board IPOs

Code: ipo-review-longformerroberta-classify-summarised.ipynb

Column Name Description
key Unique identifier of each row
year Year of the IPO review
Review Title Title of the review
review_text Text content of the review
review_link Link to the review
Author Author of the review
ipo_link Link to the IPO information
most_relevant_link Link to access the (D)RHP report
Text_extracted_JSON name of JSON file with texts extracted from the (D)RHP report
answer_of_question_0 Answer of Question 0
answer_of_question_1 Answer of Question 1
answer_of_question_2 Answer of Question 2
answer_of_question_3 Answer of Question 3
answer_of_question_4 Answer of Question 4
answer_of_question_5 Answer of Question 5
answer_of_question_6 Answer of Question 6
answer_of_question_7 Answer of Question 7
answer_of_question_8 Answer of Question 8
answer_of_question_9 Answer of Question 9
answer_of_question_10 Answer of Question 10
answer_of_question_11 Answer of Question 11
answer_of_question_12 Answer of Question 12
answer_of_question_13 Answer of Question 13
answer_of_question_14 Answer of Question 14
answer_of_question_15 Answer of Question 15
summary_of_all_answers Summary of all answers 0 to 15
Recommendation Apply, Neutral, May apply, or Avoid (Target Variable)
split train / test split

List of questions

Question Number Question
0 What is the price band and issue price of the IPO?
1 What is the issue size and how many shares are being issued as part of the IPO?
2 What is the implied market capitalization of the company after the IPO?
3 How will the company utilize the funds raised through the IPO, and what is the purpose of the IPO?
4 What is the company's revenue growth rate over recent financial years, and how has its financial performance been historically (including revenue, EBITDA, and net profit trends)?
5 What are the key financial ratios, such as net profit margin, return on equity (RoE), return on capital employed (RoCE), and total debt?
6 What is the shareholding pattern before and after the IPO, and who are the promoters?
7 Are there any regulatory issues or conflicts of interest affecting the company?
8 What are the company's plans for expansion and future growth, and how does it position itself in terms of competition within its industry?
9 Who are the company's major customers, what is the revenue breakdown by sector, and is there a dependency on large institutional customers?
10 What are the potential risks associated with increasing raw material costs, and what other risks does the company face?
11 How does the company's valuation compare to its peers, and is the issue priced aggressively compared to industry standards?
12 What is the competitive landscape of the industry in which the company operates?
13 Has the company declared any dividends in the past, and what is its dividend policy?
14 Who are the lead managers and registrar for the IPO, and what is their track record in terms of past IPO listings?
15 Are there any concerns regarding transparency or missing details in the offer document?
@misc{ghosh2024indianiporating,
      title={Predicting Ratings of Indian IPOs from Red Herring Prospectus}, 
      author={Sohom Ghosh and Sudip Kumar Naskar},
      year={2025},
      url={https://easychair.org/publications/preprint/G1P2/open}, 
}
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