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76cdd9f8-4509-43a8-9814-ee8335b153a6 | completed | 2026-04-17T05:05:38.711000 | 2026-04-17T05:08:42.453000 | 2436d428-01ba-416f-a6f7-1e79cc224d1d | A must see movie for anyone who ever went to camp, or wanted to. This film captures the absolute essence of what summer camp is all about. It is funny, it is compassionate it makes you want to watch more about the characters once the credits begin to role. If you have not seen this movie..what are you doing? get off yo... | [
"POSITIVE"
] | [
"82956b86-df6b-495d-b1be-1f7c327ec535"
] | [
"submitted"
] | POSITIVE | null | 0.999739 |
0db523a6-1e00-4e8a-9ef2-a99f8db52830 | completed | 2026-04-17T05:05:38.711000 | 2026-04-17T05:08:38.714000 | cecd97e4-dc99-4f02-a95b-f02fefc41aad | I first saw this film in 1980 in the midday movie spot. After many subsequent viewings (and purchase of the video) it still makes me laugh out loud.<br /><br />Yes, it's a relic of another age - a domestic comedy set in affluent middle class America - but well executed is well executed. But it's also a document of its ... | [
"POSITIVE"
] | [
"82956b86-df6b-495d-b1be-1f7c327ec535"
] | [
"submitted"
] | POSITIVE | null | 0.999152 |
aecc005c-8a6c-4be9-bce1-adb81043dcf7 | completed | 2026-04-17T05:05:38.711000 | 2026-04-17T05:08:45.086000 | 13f0821b-b8e0-4dca-8e50-664ff259b5aa | This is a fantastic series first and foremost. It is very well done and very interesting. As a huge WWII buff, I had learned a lot before seeing this series. One of the best things this has going for it is all the interviews with past individuals back when the war was relatively fresh in their minds, comparatively spea... | [
"POSITIVE"
] | [
"82956b86-df6b-495d-b1be-1f7c327ec535"
] | [
"submitted"
] | POSITIVE | null | 0.999166 |
2fdcd73f-e52f-4541-bc28-a3f07ba7eb29 | completed | 2026-04-17T05:05:38.711000 | 2026-04-17T05:08:43.283000 | f5d52ffe-9da1-4582-b091-f1024dfa4daf | Before the regular comments, my main curiosity about THIS IS NOT A LOVE SONG is that while there's a running time listed on IMDb of 94 minutes, the DVD from Wellspring Media in the United States runs 88 minutes. Any input on this is appreciated!<br /><br />Two friends with very rough lives take on the road for an adven... | [
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"82956b86-df6b-495d-b1be-1f7c327ec535"
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] | POSITIVE | null | 0.887453 |
1e7e57e2-9e89-4867-b7d2-31bad6d91215 | completed | 2026-04-17T05:05:38.711000 | 2026-04-17T05:08:37.902000 | 112f8800-5492-401f-bcd7-0d7a1b9bf775 | This is the worst ripoff of Home Alone movies that I have EVER seen! Watch part 1 and two, but don't let anyone say that this is BETTER than the first two! I mean, really, you don't make a movie, then make a sequel with the same characters and actors, and then make another sequel with DIFFERENT characters and actors! I... | [
"NEGATIVE"
] | [
"82956b86-df6b-495d-b1be-1f7c327ec535"
] | [
"submitted"
] | NEGATIVE | null | 0.999138 |
36eb5478-0a8f-4952-80c3-b42646e1bc24 | completed | 2026-04-17T05:05:38.711000 | 2026-04-17T05:08:44.151000 | 046e18f2-2e76-4f40-9e30-a680a30599fc | A delightful piece of cinema storytelling in a simple but effective way. Cinema after all is a visual media and Igor used its full potential. A young restless man boards a train with no destination in mind. In one of the compartments he meets with a girl. Words are not exchanged but their laundry washing are and from t... | [
"POSITIVE"
] | [
"82956b86-df6b-495d-b1be-1f7c327ec535"
] | [
"submitted"
] | POSITIVE | null | 0.999354 |
97027789-42fe-47b4-bf0e-638b0551df0c | completed | 2026-04-17T05:05:38.711000 | 2026-04-17T05:08:39.590000 | 3d01b41b-fcaf-44b5-ae57-bb6e35a4bbba | I have seen this movie many times, (and recently read the book the movie is based on) and every time I see it, I just want to slap all four of them. The fact that they don't clue in to the fact that Tom Hank's character is flipping into his D&D(oops M&M) :) persona ("Oh, he's just acting in character.") outside of the ... | [
"NEGATIVE"
] | [
"82956b86-df6b-495d-b1be-1f7c327ec535"
] | [
"submitted"
] | NEGATIVE | null | 0.999077 |
7d5b6da5-2400-4013-a5b5-21776e2f60b5 | completed | 2026-04-17T05:05:38.711000 | 2026-04-17T05:08:40.764000 | 065eea9c-4397-4223-a1f1-de3080994c32 | I really wanted to like this, but in the end it's a poorly made film with too few laughs.<br /><br />The politics are spot on, it's gonna offend the hell out of republicans but that's what it's designed to do. That alone gives me reason to chuckle.<br /><br />The problem is, it looks like it was made in a REAL hurry (l... | [
"NEGATIVE"
] | [
"82956b86-df6b-495d-b1be-1f7c327ec535"
] | [
"submitted"
] | NEGATIVE | null | 0.99871 |
0f1006bb-c09e-4f05-b7e2-02523cf4bd2d | completed | 2026-04-17T05:05:38.711000 | 2026-04-17T05:08:41.601000 | 54ebaac0-0650-43aa-bb2d-2b370104bb4e | Set in 2017 (although one might easily mistake it for 1987, judging by the hairstyles and clothing), The Running Man sees all-round good guy Ben Richards (Schwarzeneggar) framed for a crime he didn't commit. After a daring prison break, he is captured and entered as a contestant in the brutal TV game show The Running M... | [
"NEGATIVE"
] | [
"82956b86-df6b-495d-b1be-1f7c327ec535"
] | [
"submitted"
] | NEGATIVE | null | 0.987626 |
52812ca4-6186-47ab-9971-eef2fac76b73 | completed | 2026-04-17T05:05:38.711000 | 2026-04-17T05:08:36.489000 | f78ac8a4-8402-4f66-b568-89e72cc040c2 | Excellent endearing film with Peter Falk and Paul Reiser joining forces as father and dad.<br /><br />Dad shows up one evening to state that after over 40 years of marriage, mom (Olympia Dukakis) has left him.<br /><br />The rest of the film depicts the father and son on a day trip to get dad's thoughts off what has oc... | [
"POSITIVE"
] | [
"82956b86-df6b-495d-b1be-1f7c327ec535"
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"submitted"
] | POSITIVE | null | 0.998395 |
Dataset Card for sentiment-imdb
This dataset has been created with Argilla. As shown in the sections below, this dataset can be loaded into your Argilla server as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Using this dataset with Argilla
To load with Argilla, you'll just need to install Argilla as pip install argilla --upgrade and then use the following code:
import argilla as rg
ds = rg.Dataset.from_hub("ZaaRam0/sentiment-imdb", settings="auto")
This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.
Using this dataset with datasets
To load the records of this dataset with datasets, you'll just need to install datasets as pip install datasets --upgrade and then use the following code:
from datasets import load_dataset
ds = load_dataset("ZaaRam0/sentiment-imdb")
This will only load the records of the dataset, but not the Argilla settings.
Dataset Structure
This dataset repo contains:
- Dataset records in a format compatible with HuggingFace
datasets. These records will be loaded automatically when usingrg.Dataset.from_huband can be loaded independently using thedatasetslibrary viaload_dataset. - The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.
- A dataset configuration folder conforming to the Argilla dataset format in
.argilla.
The dataset is created in Argilla with: fields, questions, suggestions, metadata, vectors, and guidelines.
Fields
The fields are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset.
| Field Name | Title | Type | Required |
|---|---|---|---|
| text | text | text | True |
Questions
The questions are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.
| Question Name | Title | Type | Required | Description | Values/Labels |
|---|---|---|---|---|---|
| label | label | label_selection | True | N/A | ['NEGATIVE', 'POSITIVE'] |
Data Splits
The dataset contains a single split, which is train.
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation guidelines
[More Information Needed]
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
[More Information Needed]
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