Team Ai
Datasetpublic

iix/Parquet_FIles

Parquet_Files Cross Language (CL) Datasets Four datasets of language pair translations originating from CORDIS Project News (https://elrc-share.eu/) Structured as follows: | Field | Description | | --------------- | ----------------------------------------------------------------------- | | de/es/fr/it | Non-English transcripts of sentences | | en… See the full description on the dataset page: https://huggingface.co/datasets/iix/Parquet_FIles.

sourceHugging Facemitupdated 3y agoView on Hugging Face
0likes104downloads
Dataset Card

Parquet_Files

Cross Language (CL) Datasets

Four datasets of language pair translations originating from CORDIS Project News (https://elrc-share.eu/)

Structured as follows:

| Field           | Description                                                             |
| --------------- | ----------------------------------------------------------------------- |
| de/es/fr/it     | Non-English transcripts of sentences                                    |
| en              | English translations of sentences                                       |

120k rows (approx. per parquet file)

Characters.parquet

One large dataset of synthetic characters, information regarding them and their outputs. Created by combining other synthetic character datasets which can be found at: https://shorturl.at/gjIJ5, https://shorturl.at/DFQT6 & https://shorturl.at/tHX68.

Structured as follows:

| Field          | Description                                                     |
| -------------- | --------------------------------------------------------------- |
| name           | Character name                                                  |
| categories     | Categories or genres associated with the character (array)      |
| personalities  | Personality traits and characteristics of the character (array) |
| description    | Description of the character                                    |
| conversation   | Conversational interactions involving the character (array)     |

17.6k rows 

Flores7Lang.parquet

Seven languages merged from the Flores-200 Dataset (https://github.com/facebookresearch/flores/blob/main/flores200/README.md)

Structured as follows:

| Field           | Description                                           |
| --------------- | ----------------------------------------------------- |
| deu             | Sentence translated into German                       |
| eng             | Sentence translated into English                      |
| epo             | Sentence translated into Esperanto                    |
| fra             | Sentence translated into French                       |
| ita             | Sentence translated into Italian                      |
| spa             | Sentence translated into Spanish                      |
| tur             | Sentence translated into Turkish                      |

2.1k rows

Fraud_detection.parquet

A synthetic financial dataset intended for Fraud detection tasks (https://www.kaggle.com/datasets/ealaxi/paysim1).

Structured as follows: 

| Field           | Description                                                   |
| --------------- | ------------------------------------------------------------- |
| Step            | Maps a unit of time in the real world (1 step = 1 hour)       |
| Type            | CASH-IN, CASH-OUT, DEBIT, PAYMENT, or TRANSFER                |
| Amount          | Amount of the transaction in local currency                   |
| nameOrig        | Customer who initiated the transaction                        |
| oldbalanceOrg   | Initial balance before the transaction                        |
| newbalanceOrig  | Customer's balance after the transaction                      |
| nameDest        | Recipient ID of the transaction                               |
| oldbalanceDest  | Initial recipient balance before the transaction              |
| newbalanceDest  | Recipient's balance after the transaction                     |
| isFraud         | Identifies a fraudulent transaction (1) or non-fraudulent (0) |

2.27m rows